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Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

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Page 1: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Tracking CAADP Indicators Tanzaniarsquos Progress

Stella Massawe Prudence Lugendo Sophia Mlote Joseph Karugia and Steven Michael

bullTanzania is one of the African countries that signed a ComprehensiveAfrica Agriculture Development Programme (CAADP) compact

bullUse of evidence in planning progress review and priority setting is oneof the core principals of CAADP

bullThe continental CAADP results framework identifies indicators tomonitor progress in implementing CAADP

bullThis presentation documents performance of Tanzania in selectedCAADP indicators

Overview

Progress in the CAADP Implementation Process As of January 2018

Roundtable held and compact signed July 8 2010Investment plan drafted reviewed and validated May 31 2011Business meeting held November 10 2011Country SAKSS established Yes

GAFSP funding approved (million US$) Tanzania ($229)Annual joint Grow Africa and New Alliance reporting Yes

JSR assessment conducted YesNew Alliance Cooperation Framework launched Yes

Highlight on Agriculture Performance Agriculture Expenditure and Productivity

Expenditure levels lower than the CAADP target of 10

Fluctuating patterns observed

Ag Expenditure as a Share of Total Expenditure

Source Rapid Budget Analysis -2015 An Agricultural Sector Background Note

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 2: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

bullTanzania is one of the African countries that signed a ComprehensiveAfrica Agriculture Development Programme (CAADP) compact

bullUse of evidence in planning progress review and priority setting is oneof the core principals of CAADP

bullThe continental CAADP results framework identifies indicators tomonitor progress in implementing CAADP

bullThis presentation documents performance of Tanzania in selectedCAADP indicators

Overview

Progress in the CAADP Implementation Process As of January 2018

Roundtable held and compact signed July 8 2010Investment plan drafted reviewed and validated May 31 2011Business meeting held November 10 2011Country SAKSS established Yes

GAFSP funding approved (million US$) Tanzania ($229)Annual joint Grow Africa and New Alliance reporting Yes

JSR assessment conducted YesNew Alliance Cooperation Framework launched Yes

Highlight on Agriculture Performance Agriculture Expenditure and Productivity

Expenditure levels lower than the CAADP target of 10

Fluctuating patterns observed

Ag Expenditure as a Share of Total Expenditure

Source Rapid Budget Analysis -2015 An Agricultural Sector Background Note

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 3: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Progress in the CAADP Implementation Process As of January 2018

Roundtable held and compact signed July 8 2010Investment plan drafted reviewed and validated May 31 2011Business meeting held November 10 2011Country SAKSS established Yes

GAFSP funding approved (million US$) Tanzania ($229)Annual joint Grow Africa and New Alliance reporting Yes

JSR assessment conducted YesNew Alliance Cooperation Framework launched Yes

Highlight on Agriculture Performance Agriculture Expenditure and Productivity

Expenditure levels lower than the CAADP target of 10

Fluctuating patterns observed

Ag Expenditure as a Share of Total Expenditure

Source Rapid Budget Analysis -2015 An Agricultural Sector Background Note

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 4: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Highlight on Agriculture Performance Agriculture Expenditure and Productivity

Expenditure levels lower than the CAADP target of 10

Fluctuating patterns observed

Ag Expenditure as a Share of Total Expenditure

Source Rapid Budget Analysis -2015 An Agricultural Sector Background Note

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
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17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 5: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Expenditure levels lower than the CAADP target of 10

Fluctuating patterns observed

Ag Expenditure as a Share of Total Expenditure

Source Rapid Budget Analysis -2015 An Agricultural Sector Background Note

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 6: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Chart1

Share ()
CAADP Target
97180705791
10
42352176135
10
44053105976
10
37470291412
10
52384968607
10

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
20102011 20102011
20112012 20112012
20122013 20122013
20132014 20132014
20142015 20142015
Page 7: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Sheet1

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
20102011 20112012 20122013 20132014 20142015
Total expenditure (bn) 930020 1076450 1271420 1401110 1493940
9038 9262 110360 9081 10847
97 86 87 65 73 97180705791 86042082772 86800585172 64812898345 72606664257
20092010 20102011 20112012 20122013 20132014 20142015 20152016
722 9038 9262 110360 9081 10847 10014
Share of AgExpenditure to Total Expenditure CAADP target
20102011 97180705791 10
20112012 86042082772 10
20122013 86800585172 10
20132014 64812898345 10
20142015 72606664257 10
AgExpenditure to Total Expenditure Share
20102011 9038 930020 97180705791
20112012 4559 1076450 42352176135
20122013 5601 1271420 44053105976
20132014 525 1401110 37470291412
20142015 7826 1493940 52384968607
20152016 5852
Share () CAADP Target
20102011 97180705791 10
20112012 42352176135 10
20122013 44053105976 10
20132014 37470291412 10
20142015 52384968607 10
20152016
00448269158
Page 8: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Sheet1

Share of AgExpenditure to Total Expenditure
CAADP target
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 9: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in
Share ()
CAADP Target

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
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10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 10: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Productivity of cereals and other crops is much lower than the global average

Productivity growth has been only modest over the last two decades

Levels are much lower than the potential

There is increase in crop production but mainly achieved by increasing crop land than output per acre

High yield variability due to climatic variation and reliance on rainfed agriculture

Productivity of Crop and Livestock sub-sectors

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 11: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Percentage of Households Using Irrigation in Tanzania

ItemNPS

200809NPS

201011NPS

201213NPS

201415Share of households using irrigation 42 34 34 31Share of fields using irrigation (surface) 20 17 17 20

bull Share of maize fields using irrigation (Surface) 17 15 17 14

bull Share of paddy fields using irrigation (Surface) 43 36 56 21

Source NBS 2016 National Panel Survey Wave 4 20142015 Report

Area irrigated very small compared to potential- High potential feasible investment 23 million ha- Area developed 430000ha vs the target of 1 million ha

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 12: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Crop Productivity-Cereals

Source MALF Statistical Database

Stagnant or growing very slowly

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 13: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Chart1

Maize
Rice
Yields (tha)
19314072327
17374879692
31358945564
11125815809
25657199395
26785183876
07549284629
09578286082
14658895013
19071322558
10070813194
15342811151
13314054119
19542736324
12698521353
2404817377
13661946711
15768199536
112321153
16568399886
15514650688
23322567302
13202618733
20086337517
12394616277
225248354

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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  • Slide Number 31
Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
2000 2000
2001 2001
2002 2002
2003 2003
2004 2004
2005 2005
2006 2006
2007 2007
2008 2008
2009 2009
2010 2010
2011 2011
2012 2012
Page 14: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
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9-Jan 9-Jan
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10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Page 15: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 16: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Sheet1

Maize
Rice
Yields (tha)

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
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8-Jan 8-Jan
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16-Jan 16-Jan
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16-Jul 16-Jul
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17-Jan 17-Jan
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18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 17: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 18: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Wide Yield Gaps Compared to Peers within Africa

Tanzania African Countries With High YieldsMaize(tha)

156 Mauritius 85Egypt 78

Wheat(tha)

17 Zambia 66

Rice(tha)

29 Egypt 98

Beef(kganimal)

130 Mauritius 238

Source Tanzania data is from MALF and the rest is from FAOSTAT

Yields very low compared to the rest of the world

Many good projects but small short lived no enough scaling up

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 19: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Agricultural Labour Productivity

Source World Bank

bull Agriculture labour productivity in Tanzania is low

bull Many factors responsible such aslimited adoption of improved agriculture technologies limited access to productivity enhancing inputs eg fertilizers and improved seed and inadequate access to agricultural advisory services

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
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8-Dec 8-Dec
9-Jan 9-Jan
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12-Apr 12-Apr
12-May 12-May
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12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
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13-Mar 13-Mar
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14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 20: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Country Performance High Level CAADP indicators

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 21: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Agriculture GDP Growth Rate

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 22: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Agriculture GDP Growth Rate

Agriculture GDP growth rate remains lower than the 6 CAADP target

Fluctuating pattern is observed on the levels of agricultural GDP over time

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 23: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Prevalence of Undernourishment ( of population)

Source World Development Indicators by the World Bank

About a third (32) of the population is undernourished

The absolute number of hungry people has been increasing over time

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 24: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

bull Nationally about a third (347) of children under the age of five are stunted

Stunting or low height for age ndash among children under five

Source DHS 201516 NBS 2016

Stunting reflects chronic malnutrition

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 25: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Guidelines

middot 10 -12 slides of substance (this excludes graphs tables) addressing the theme of the 4th AAPC - Integrating Food and Nutrition Security into Economic Transformation and Industrialization Agenda in Tanzania How could agriculture be the driver rather than follower of economic transformation in Tanzaniamiddot Font size 20 (given that wersquoll be in a room of over 150 pax)middot 6 X 6 rule to the extent possible (six lines six words each)Each presenter will be allocated with a maximum of 15 minutes

TITLE

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 26: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

bull Nationally about a third (14) of children under the age of five are underweight

Percent of children under five who are Underweight

Source DHS 201516 NBS 2016

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 27: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Poverty LevelsYears Poverty Incidence ()

1991ndash1992 3862001 3562007 3342012 282Source Household Budget Survey by the NBS (Various Years)

Moderate decline recorded but poverty levels are still high

The number of poor people has increased in absolute terms

due to high population growth

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 28: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

GDP per capita (constant 2010 USS)

Per Capita Income has Increased but Much Lower than the Average for Africa

Source ReSAKSS based on World Bank (2016) and ILO (2016)

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 29: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Chart1

2003
2015
1533
1943
212
216
845
1117
392
675
546
803
461
668

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Africa Africa
Burundi Burundi
Kenya Kenya
Rwanda Rwanda
Tanzania Tanzania
Uganda Uganda
Page 30: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

215CPD010

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Production quantity of Primary Crops
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Product Product
44 Barley 20590 17830 14710 15230
176 Beans dry 560400 309600 447710 626340 707620 889290 570750 773720 867530 675948 1199267
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248
27 Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552
83 Sorghum 598200 691690 635740 198870 648540 729740 711640 971200 550650 709310 798540 806574 838717
79 Millet 233410 91280 246250 218760 246660 307900 149520 312420 350870 397069 213746
15 Wheat 32700 72030 47950 21620 28230 94160 109530 82780 43360 82370 62370 112658 108887
328 Seed cotton 100700 124900 148500 180800 326680 357260 376590 130560 472130 200660 267000 163644 225938
125 Cassava 1780700 1698950 3420550 2843530 2956540 3060080 6158300 5198930 5916440 4547940 4646516 5462453
289 Sesame seed 14360 55100 22330 67410 103640 221420 155790 59100 90000 144420 357162 456000
267 Sunflower seed 80870 104400 55040 247840 134360 373390 368130 238660 304730 313110 786902 1125000
116 Potatoes 637720 141160 731120 651010 1583020 1498270 129080 860980 1472560 1555516 1235041
122 Sweet potatoes 777300 950100 1466120 207830 1501620 1414820 2606040 2466520 410960 1417390 2424200 3573302 3018175
754 PyrethrumDried 1900 1800 3440 350 2700 3110 2500 1500 1710 3280 3320 5000 5700
656 Coffee green 45010 58240 66160 52310 79240 95390 34330 48870 186250 62350 40000 60575 33219
826 Tobacco leaves 26384 24522 27423 56500 65300 70470 58700 60900 130000 126624
217 Cashew nuts with shell 121200 122000 55000 81700 92810 89980 90380 92230 134998 79070 74170 121070 160000
242 Groundnuts with shell 206800 346790 159730 331660 293870 782120 408020 340770 347970 465290 651397 810000
667 Tea 46010 24150 30000 34450 43588 34170 33160 32000 32812
197 Pigeon peas 100 96300 118500 140650 82190 44942 120870 166130 272608 206057
195 Cow peas dry 16880 123600 80500 154770 134360 39360 224960 151730 172740 179570
203 Bambara beans 16120 24620 32940 16380 30050 48716 65509
254 Oil palm fruit 11360 12580 12217 14160 16110 17000 24880
486 Bananas 700900 752070 2204620 1899800 2489010 2007480 3507450 3082610 1889570 3006400 3155710 3143835 2524740
187 Peas dry 154770 134360 39360 224960 151730
236 Soybeans 390 510 930 2630 5000 3000 5390 17630 3100 2500 5624
789 Sisal 19660 24700 23450 22630 24828 28650
Area Harvested
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 change 2000-2012
Product Product
44 Barley 19520 15790 9070 7570 7508 0
176 Beans dry 629200 745400 687810 811010 646090 845960 749540 868310 1208690 737661 1265404 0
56 Maize 1017600 845950 1718200 3462540 3173070 3109590 2570990 2600350 3980970 2961330 3050710 3287850 4118117 3046891705975
27 Rice paddy 415600 275800 565600 620800 613130 701990 633770 557980 887660 805630 1136290 1119328 799363 923395091434
83 Sorghum 736200 691690 655380 449590 697220 737080 715870 817950 566760 874220 618370 811163 839424
79 Millet 358830 201850 347910 283180 323170 267000 213970 398510 345860 352307 260417
15 Wheat 71700 52120 30670 26890 34380 35370 53220 75370 43160 149200 54570 108284 109816
328 Seed cotton 337020 487560 526720 319490 286160 574840 519350 421200 226505 322770
125 Cassava 905500 752740 1191860 1313060 1345130 1252050 993170 779070 669134 1081380 873000 739786 954510
289 Sesame seed 32880 72560 65160 124130 156250 101600 118990 139890 153270 203420 510471 651735
267 Sunflower seed 71860 139660 115500 224320 144810 174140 277670 347690 388830 431540 753759 107616
116 Potatoes 77720 48170 89310 125990 177240 153390 38770 195690 172970 203089 168445
122 Sweet potatoes 407200 511510 423440 135470 517530 469110 590470 511020 204500 651940 576220 699073 651216
754 PyrethrumDried 650 5050 8370 1750 4450 3530 10680 5290 7386 8769
656 Coffee green 260110 235700 226460 212110 132942 245890 223510 116508 66438
826 Tobacco leaves 61470 116420 64370 55210 78930 168488 118247
217 Cashew nuts with shell 288520 161380 319970 393070 199579 391350 249090 406597 152381
242 Groundnuts with shell 247300 366940 347980 374550 409320 309430 378010 470670 428550 482310 675226 839630
667 Tea 19960 12860 19230 15140 6388 12310 11410 8551 8768
197 Pigeon peas 142100 162400 137490 99830 78228 113910 187010 288161 257292
195 Cow peas dry 73170 159000 150400 155930 177610 88440 128290 258160 218081 233803
203 Bambara beans 13780 21570 56600 9190 31620 65060 73191
254 Oil palm fruit 11670 13170 11830 14510 15280 14100 19138
486 Bananas 303500 289620 370630 394050 316100 322040 499620 404430 201357 507810 417910 532077 442190
187 Peas dry 17410 16790 15220 22000 27580 45971 10870
236 Soybeans 300 1190 1290 3130 3610 2320 7520 5890 3570 2879 5856
789 Sisal 42270 4790 48500 56097 75922
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Barley 0 0 0 0 0 0 10548155738 11291956935 0 16218302095 20118890357 0 0
Beans dry 0 0 08906547997 04153474644 06509210392 07722962725 10952344101 10512199158 07614670331 08910642512 07177440038 09163396194 09477344785
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277
Rice paddy 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354
Sorghum 08125509372 1 09700326528 04423363509 09301798571 09900417865 09940911059 11873586405 097157527 08113632724 12913627763 09943426907 09991577558
Millet 0 0 06504751554 04522169928 07077979937 07725121831 07632515394 11531835206 06987895499 07839702893 101448563 11270539615 08207835894
Wheat 04560669456 13820030698 15634170199 0804016363 08211169284 26621430591 20580608794 10983149794 10046339203 0552077748 11429356789 10403937793 09915403948
Seed cotton 0 0 0 05364666785 06700303552 06782730863 11787223387 04562482527 08213241946 03863675749 06339031339 07224741176 06999969018
Cassava 19665378244 22570210166 2869925998 21655750689 21979585616 24440557486 62006504425 66732514408 0 54711942148 52095532646 62808920418 572278237
Sesame seed 0 04367396594 07593715546 03426949048 05430596955 0663296 21793307087 13092696865 04224748016 05871990605 07099596893 06996714799 06996708785
Sunflower seed 0 11253826886 0747529715 04765367965 1104850214 09278364754 21441943264 13257824036 06864160603 07837101047 07255642582 10439702876 104538358608
Potatoes 0 0 82053525476 29304546398 81863173217 51671561235 89315053035 97677162788 33293783853 43997138331 85133838238 76592823836 73320134168
Sweet potatoes 19088899804 18574416922 3462403174 15341404001 29015129558 30159664045 44135011093 48266604047 20095843521 21741111145 42070736871 5111486211 46346757451
PyrethrumDried 0 0 0 05384615385 05346534653 03715651135 14285714286 03370786517 04844192635 03071161049 06275992439 0676956404 06500171057
Coffee green 0 0 0 0 03046403445 04047093763 01515941005 02303993211 14009868965 02535686689 01789629099 05199213788 05
Tobacco leaves 0 0 0 0 0 0 09191475517 0560900189 10947646419 1063213186 07715697453 07715683016 10708432349
Cashew nuts with shell 0 0 0 0 03216761403 05575659933 0282463981 02346401404 06764138512 0202044206 02977638605 02977641252 10499996719
Groundnuts with shell 0 0836231298 09450863901 04590206334 08854892538 07179468387 25276152926 10793894341 07240104532 08119705985 09647114926 09647095935 09647106464
Tea 0 0 0 0 23051102204 18779160187 15600624025 22754293263 68234189105 2775792039 29062226117 37422523681 37422445255
Pigeon peas 0 0 0 0 06776917664 0729679803 10229834897 08232996093 0574500179 10611008691 08883482167 09460267004 08008682742
Cow peas dry 0 0 0 02306956403 07773584906 05352393617 09925607644 07564889364 04450474898 1753527165 05877362876 07920910121 076803976
Bambara beans 0 0 0 0 0 0 11698113208 11414000927 05819787986 17823721436 09503478811 07487857362 08950417401
Oil palm fruit 0 0 0 0 0 0 09734361611 09552012149 10327134404 09758787043 10543193717 12056737589 13000313512
Bananas 23093904448 25967474622 59483042387 48212155818 78741221133 62336355732 70202353789 76221101303 93841783499 59203245308 75511713048 59086090923 57096270834
Peas dry 0 0 0 0 0 88897185526 80023823705 25860709593 102254545455 55014503263 0 0
Soybeans 0 13 04285714286 07209302326 08402555911 13850415512 12931034483 07167553191 29932088285 08683473389 08683570684 09603825137
Sisal 51565762004 04835051546 0 0 0 0 0 0 0 0 04425905129 03773609757
P
farm trade
Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2012
56 Maize 1965400 2652810 4408420 2613970 4651370 3131610 3423030 3302060 5438780 3326200 4733070 4340823 5104248 377629161538462 3008877 4726047
Rice paddy 722100 306850 1514970 594620 1169320 1077050 1238560 1341840 1399680 1334800 2650120 2248320 1800552 133836784615385 847973 2232997
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 average 2000-2002 average 2010-2010 average 2000-2012
Maize 19314072327 31358945564 25657199395 07549284629 14658895013 10070813194 13314054119 12698521353 13661946711 112321153 15514650688 13202618733 12394616277 25443405762 13703961899 16147938505
Rice 17374879692 11125815809 26785183876 09578286082 19071322558 15342811151 19542736324 2404817377 15768199536 16568399886 23322567302 20086337517 225248354 18428626459 21977913406 18540583954
Page 31: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

215CPD010

Maize
Rice paddy
Production (T)

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Page 32: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Sheet1

Maize
Rice
Yields (tha)
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Page 33: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
GDP per capita (constant 2010 USS
2003 2015
Africa 1533 1943
Burundi 212 216
Kenya 845 1117
Rwanda 392 675
Tanzania 546 803
Uganda 461 668
Page 34: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in
2015
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
Page 35: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in
2003
2015

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
Page 36: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Trends in Food Prices

Source ReSAKSS regional food prices databaseRising food prices worsen hunger and poverty situationhellipthe poor spend high share of their income on food

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
Page 37: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Chart1

FAO global FPI
Tanzania FPI
100
100
1020787
100
1033408
101848
106533
1017112
1100223
1016427
1169265
1010267
1221975
1010951
1266518
9952088
1331849
1011636
1353378
1010951
1394209
102601
142242
1046543
1495917
1100616
1605048
1121834
1631774
1132101
1613957
1135524
1619896
1128679
1676318
1125257
1651076
1124572
1562732
1106092
147513
1147159
1296214
1158111
1188567
1193703
1122494
1240931
1103935
1300479
1061618
1330595
1081663
1341547
1116555
1338125
1192279
1329911
1195249
1316222
1172977
1314168
1218263
1315537
1218263
1345654
1246474
1348272
1334076
1335335
1342984
1354881
135709
1375553
1331849
1392005
1268745
1404802
1278396
1412817
1276912
1407896
1263549
1404661
1306607
1400021
1380846
1405364
145954
1406208
1546399
1404802
1604306
140902
1671863
1430114
1727543
1463863
178248
1496346
1741648
151772
1766889
1534032
174239
1545141
1746102
1557938
1732739
1582125
1725316
1604202
1690423
1642451
1621381
1656513
1625093
1679153
1583519
1712621
1593912
1752698
1612472
1786587
1610987
1805431
1587973
1820336
1521901
1826946
1489235
1828914
1581292
1830742
1587231
1843398
1616927
1864351
161173
1869976
1600594
1882491
1587231
1919193
1580549
1944223
1578322
1971926
1594655
1981769
1610245
199105
159317
1979378
1573125
1968691
154046
1968832
1518189
1967707
1512249
1977269
1533779
1988238
1527097
200005
1530809
2025924
1508537
2061532
1548627
2089876
1587231
2102084
1570156
2116343
156199
210772
1550854
2094935
1516704
2097503
147216
2099673
1430586
2108311
1430586
2105068
1420193
2116917
1379362
2122205
1328137
2143492
1305122
2177221
12732
2192213
1250186
2210632
1241277
2219884
1224202
2224208
1219005
2232766
1150705
2233141
1152932
2236485
1174462
2238308
115219
2256892
1138827
2267328
1108389
2283426
1111359
2300069
1119525
2310975
1134373
2323081
1163326
2335349
1216778
2345891
1206385
2346653
1236823
2341646
1268745
2336515
1278396
2339262
1276169
236523
1264291
2381662
1296214
2401442
1302895
2425423
1273942
2458746
1253898
2472235
1283593
2477269
1301411
2473642
1328879
2467881
1315516
2459208
1325909
2459686
1311062
2458011
130438
2470027
1256867
2476149
1258352

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
7-Jan 7-Jan
7-Feb 7-Feb
7-Mar 7-Mar
7-Apr 7-Apr
7-May 7-May
7-Jun 7-Jun
7-Jul 7-Jul
7-Aug 7-Aug
7-Sep 7-Sep
7-Oct 7-Oct
7-Nov 7-Nov
7-Dec 7-Dec
8-Jan 8-Jan
8-Feb 8-Feb
8-Mar 8-Mar
8-Apr 8-Apr
8-May 8-May
8-Jun 8-Jun
8-Jul 8-Jul
8-Aug 8-Aug
8-Sep 8-Sep
8-Oct 8-Oct
8-Nov 8-Nov
8-Dec 8-Dec
9-Jan 9-Jan
9-Feb 9-Feb
9-Mar 9-Mar
9-Apr 9-Apr
9-May 9-May
9-Jun 9-Jun
9-Jul 9-Jul
9-Aug 9-Aug
9-Sep 9-Sep
9-Oct 9-Oct
9-Nov 9-Nov
9-Dec 9-Dec
10-Jan 10-Jan
10-Feb 10-Feb
10-Mar 10-Mar
10-Apr 10-Apr
10-May 10-May
10-Jun 10-Jun
10-Jul 10-Jul
10-Aug 10-Aug
10-Sep 10-Sep
10-Oct 10-Oct
10-Nov 10-Nov
10-Dec 10-Dec
11-Jan 11-Jan
11-Feb 11-Feb
11-Mar 11-Mar
11-Apr 11-Apr
11-May 11-May
11-Jun 11-Jun
11-Jul 11-Jul
11-Aug 11-Aug
11-Sep 11-Sep
11-Oct 11-Oct
11-Nov 11-Nov
11-Dec 11-Dec
12-Jan 12-Jan
12-Feb 12-Feb
12-Mar 12-Mar
12-Apr 12-Apr
12-May 12-May
12-Jun 12-Jun
12-Jul 12-Jul
12-Aug 12-Aug
12-Sep 12-Sep
12-Oct 12-Oct
12-Nov 12-Nov
12-Dec 12-Dec
13-Jan 13-Jan
13-Feb 13-Feb
13-Mar 13-Mar
13-Apr 13-Apr
13-May 13-May
13-Jun 13-Jun
13-Jul 13-Jul
13-Aug 13-Aug
13-Sep 13-Sep
13-Oct 13-Oct
13-Nov 13-Nov
13-Dec 13-Dec
14-Jan 14-Jan
14-Feb 14-Feb
14-Mar 14-Mar
14-Apr 14-Apr
14-May 14-May
14-Jun 14-Jun
14-Jul 14-Jul
14-Aug 14-Aug
14-Sep 14-Sep
14-Oct 14-Oct
14-Nov 14-Nov
14-Dec 14-Dec
15-Jan 15-Jan
15-Feb 15-Feb
15-Mar 15-Mar
15-Apr 15-Apr
15-May 15-May
15-Jun 15-Jun
15-Jul 15-Jul
15-Aug 15-Aug
15-Sep 15-Sep
15-Oct 15-Oct
15-Nov 15-Nov
15-Dec 15-Dec
16-Jan 16-Jan
16-Feb 16-Feb
16-Mar 16-Mar
16-Apr 16-Apr
16-May 16-May
16-Jun 16-Jun
16-Jul 16-Jul
16-Aug 16-Aug
16-Sep 16-Sep
16-Oct 16-Oct
16-Nov 16-Nov
16-Dec 16-Dec
17-Jan 17-Jan
17-Feb 17-Feb
17-Mar 17-Mar
17-Apr 17-Apr
17-May 17-May
17-Jun 17-Jun
17-Jul 17-Jul
17-Aug 17-Aug
17-Sep 17-Sep
17-Oct 17-Oct
17-Nov 17-Nov
17-Dec 17-Dec
18-Jan 18-Jan
Page 38: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Sheet1

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

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Column1 7-Jan 7-Feb 7-Mar 7-Apr 7-May 7-Jun 7-Jul 7-Aug 7-Sep 7-Oct 7-Nov 7-Dec 8-Jan 8-Feb 8-Mar 8-Apr 8-May 8-Jun 8-Jul 8-Aug 8-Sep 8-Oct 8-Nov 8-Dec 9-Jan 9-Feb 9-Mar 9-Apr 9-May 9-Jun 9-Jul 9-Aug 9-Sep 9-Oct 9-Nov 9-Dec 10-Jan 10-Feb 10-Mar 10-Apr 10-May 10-Jun 10-Jul 10-Aug 10-Sep 10-Oct 10-Nov 10-Dec 11-Jan 11-Feb 11-Mar 11-Apr 11-May 11-Jun 11-Jul 11-Aug 11-Sep 11-Oct 11-Nov 11-Dec 12-Jan 12-Feb 12-Mar 12-Apr 12-May 12-Jun 12-Jul 12-Aug 12-Sep 12-Oct 12-Nov 12-Dec 13-Jan 13-Feb 13-Mar 13-Apr 13-May 13-Jun 13-Jul 13-Aug 13-Sep 13-Oct 13-Nov 13-Dec 14-Jan 14-Feb 14-Mar 14-Apr 14-May 14-Jun 14-Jul 14-Aug 14-Sep 14-Oct 14-Nov 14-Dec 15-Jan 15-Feb 15-Mar 15-Apr 15-May 15-Jun 15-Jul 15-Aug 15-Sep 15-Oct 15-Nov 15-Dec 16-Jan 16-Feb 16-Mar 16-Apr 16-May 16-Jun 16-Jul 16-Aug 16-Sep 16-Oct 16-Nov 16-Dec 17-Jan 17-Feb 17-Mar 17-Apr 17-May 17-Jun 17-Jul 17-Aug 17-Sep 17-Oct 17-Nov 17-Dec 18-Jan
FAO global FPI 100 1020787 1033408 106533 1100223 1169265 1221975 1266518 1331849 1353378 1394209 142242 1495917 1605048 1631774 1613957 1619896 1676318 1651076 1562732 147513 1296214 1188567 1122494 1103935 1061618 1081663 1116555 1192279 1195249 1172977 1218263 1218263 1246474 1334076 1342984 135709 1331849 1268745 1278396 1276912 1263549 1306607 1380846 145954 1546399 1604306 1671863 1727543 178248 1741648 1766889 174239 1746102 1732739 1725316 1690423 1621381 1625093 1583519 1593912 1612472 1610987 1587973 1521901 1489235 1581292 1587231 1616927 161173 1600594 1587231 1580549 1578322 1594655 1610245 159317 1573125 154046 1518189 1512249 1533779 1527097 1530809 1508537 1548627 1587231 1570156 156199 1550854 1516704 147216 1430586 1430586 1420193 1379362 1328137 1305122 12732 1250186 1241277 1224202 1219005 1150705 1152932 1174462 115219 1138827 1108389 1111359 1119525 1134373 1163326 1216778 1206385 1236823 1268745 1278396 1276169 1264291 1296214 1302895 1273942 1253898 1283593 1301411 1328879 1315516 1325909 1311062 130438 1256867 1258352
Tanzania FPI 100 100 101848 1017112 1016427 1010267 1010951 9952088 1011636 1010951 102601 1046543 1100616 1121834 1132101 1135524 1128679 1125257 1124572 1106092 1147159 1158111 1193703 1240931 1300479 1330595 1341547 1338125 1329911 1316222 1314168 1315537 1345654 1348272 1335335 1354881 1375553 1392005 1404802 1412817 1407896 1404661 1400021 1405364 1406208 1404802 140902 1430114 1463863 1496346 151772 1534032 1545141 1557938 1582125 1604202 1642451 1656513 1679153 1712621 1752698 1786587 1805431 1820336 1826946 1828914 1830742 1843398 1864351 1869976 1882491 1919193 1944223 1971926 1981769 199105 1979378 1968691 1968832 1967707 1977269 1988238 200005 2025924 2061532 2089876 2102084 2116343 210772 2094935 2097503 2099673 2108311 2105068 2116917 2122205 2143492 2177221 2192213 2210632 2219884 2224208 2232766 2233141 2236485 2238308 2256892 2267328 2283426 2300069 2310975 2323081 2335349 2345891 2346653 2341646 2336515 2339262 236523 2381662 2401442 2425423 2458746 2472235 2477269 2473642 2467881 2459208 2459686 2458011 2470027 2476149
Page 39: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Performance in Meeting Targets

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
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Page 40: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Ag Investments and Input UseIndicator Current

StatusTarget About the target Performance VS

targetAg Budget allocation as ashare of total budget

44(avg 20122015)

10 MKUKUTA IICAADPTAFSIP target andMalabo

Below target

Area under irrigationincreased (HA)

461326 in201415

1000000 by20152016

FYDP 1 and MKUKUTAII

Below target

Smallholders using oxen 24 30 ASDP 1 Below target

of smallholders usingTractor

89 5 ASDP 1 target Target Achieved

Average fertilizer use in Kgper hactor

193 kgha 500 kgha Abuja Deceleration onFertilizer use (2006)

Below target

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
  • Slide Number 7
  • Slide Number 8
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Page 41: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Productivity and GrowthIndicator Current

StatusTarget About the target Performance

VS targetMaize yields 14 tonsha

(avg2013-2015)25 tonsha ASDP 1 target Below target

Rice yields 23 tonsha(avg 2013-2015)

3-4 tonsha ASDP 1 target Below target

Average AnnualGDP growth rate

7 (Avg 2010-2016) 8 FYDP 1 and MKUKUTA II Marginallybelow target

AgDP growth 34 (2015) 6-8 FYDP 1 and MKUKUTA II Below target

Crops sub-sectorGDP growth

4 (2015) 65 by 2015 MKUKUTA II Below target

Livestock sub-sector GDP growth

26 (2015) 59 by 2015 MKUKUTA II Below target

Fisheries sub-sector GDP growth

31 (2015) 53 percent by2015

MKUKUTA II Below target

Source MALF and NBS

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
  • Slide Number 7
  • Slide Number 8
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Page 42: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Food Security and PovertyIndicator Current

StatusTarget About the target Performance VS

targetUnder-5 Underweight () 14

(20152016)144 by 2015 MDG target Target Achieved

Under-5 Stunted () 347(20152016)

223 by 2015 MDG target Below target

Under-5 wasted () 38(20152016)

Less than 5 MDG target Achieved

Percent living below thefood poverty line(national level)

97(in 20152016)

105 MDG target Achieved

Percent living below thefood poverty line (Rural)

113(in 20152016)

105 MDG target Below target

Poverty head count rate ndashBasic needs poverty

282 in 201112 24 and 193 24 (MKUKUTA II)and 193 (MDG)

Below target

Source NBS- Demographic and Health Surveys

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
  • Slide Number 7
  • Slide Number 8
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Page 43: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

bull There is need for concerted efforts to address the constraints that underlie the low productivity

bull Establish and maintain effective mechanisms for early warning and disaster mitigation and management

bull Furthermore investment in irrigation and crop protection can lower the amplitude of yield variability

bull Many agriculture productivity enhancing interventions have taken place WHY is productivity still lowrdquo

bull Need to learn from peers within and outside Tanzania

Concluding Remark

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
  • Slide Number 7
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Page 44: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Designing policies is one thing implementation often becomes a key challenge in Africa

Current levels of public expenditures in the agriculture sector are below the CAADP targets

Challenge of limited budget remainsoNeed for concurrent efforts to continue increasing share of budget allocationoStimulate investments by private sector

Concluding Remark 2A Meeting commitments

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
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Page 45: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Targeting of interventionsoensure efficient use of the available resources

oDeliberate efforts to invest in sub-sectors and activities that have

the potential for highest returns

o Up scaling climate smart agriculture

Quality of InvestmentbullRecurrent vs Development expendituresbullEnsure farmers representation in planning

Concluding Remark 2B Targeting amp quality of investments

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
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Page 46: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

bullhttppapacinfoknowledgebasebullwwwresakssorgbullhttpeatlasresakssorgTanzaniaenbullhttpconferenceresakssorg

For More Information Visit

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
  • Slide Number 5
  • Slide Number 6
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Page 47: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in

Acknowledgement This work was supported by

  • Slide Number 1
  • Slide Number 2
  • Slide Number 3
  • Slide Number 4
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Page 48: Tracking CAADP IndicatorsTracking CAADP Indicators: Tanzania’s Progress Stella Massawe, Prudence Lugendo, Sophia Mlote, Joseph Karugia, ... CAADP indicators Overview. Progress in
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