Upload
others
View
3
Download
0
Embed Size (px)
Citation preview
Government of IndiaMinistry of Agriculture & Farmers Welfare
Department of Agriculture, Cooperation & Farmers WelfareDirectorate of Economics & Statistics
AGRICULTURAL STATISTICS AT A GLANCE 2017
Agricultural Statistics at a Glance 2017
Agricultural Statistics at a Glance 2017
Government of IndiaMinistry of Agriculture & Farmers Welfare
Department of Agriculture, Cooperation & Farmers WelfareDirectorate of Economics and Statistics
Visit us at: www.agricoop.nic.in & http:// eands.dacnet.nic.in
© Government of India PDES – 258 (E)Controller of Publications 500-2019 (DSK-III)
v
MESSAGE
Agriculture and allied sector is the cornerstone of Indian economy, being watched keenly by not only the policy makers but also by business and industry, and the academia. The Directorate of Economics and Statistics caters to this demand by annually publishing “Agricultural Statistics at a Glance”. Over the years, this publication has become a trusted source of reference to people and organizations dealing with agricultural economy.
It gives me immense pleasure to see that the Directorate has continuously endeavored to increase the relevance of this publication by adding information on new areas of concern and relevance for the agriculture sector. This issue includes the updated information on recent initiatives by the Government, viz., coverage under Soil Health Card, Pradhan Mantri Fasal Bima Yojana (PMFBY), Micro Irrigation, etc. This publication is also being simultaneously released electronically on the website of the Department of Agriculture, Cooperation and Farmers Welfare www.agricoop.nic.in and http;//eands.dacnet.nic
I compliment Shri P.C. Bodh, Adviser, Ms. Swati Singla, Assistant Economic Adviser, Shri Ashutosh Sharma, Economic Officer and their team members for their efforts in bringing out this volume.
I am sure that this issue will be found useful by one and all.
(S.K. Pattanayak)
Date: July 4, 2018
Dr. S.K. PattanayakSECRETARY
Government of IndiaMinistry of Agriculture & Farmers WelfareDepartment of Agriculture, Cooperation
& Farmers Welfare
Hkkjr ljdkjÑf"k ,oa fdlku dY;k.k ea=kky;
Ñf"k] lgdkfjrk ,oa fdlku dY;k.k foHkkx
Office : Krishi Bhawan, New Delhi-110001, nwjHkk"k/Phone : 23382651, 23388444 iQSDl la- @ Fax No. : 23386004E-mail : [email protected]
vii
FOREWORD
The Directorate of Economics and Statistics brings out its flagship publication “Agricultural Statistics at a Glance” every year. The publication is widely used as a trusted source of information on various aspects of agriculture and allied sector, including crop production and productivity, growth and investment in agriculture, minimum support price, cost of production, terms of trade, imports and exports, land-use statistics, agricultural inputs, rainfall distribution, etc.
The wide coverage of data in a single book makes it a much sought after and valued publication. The publication will be of immense use to policy makers, farmers, researchers, scientists, administrators, trade, industry, statisticians, economists and the general public. I am sure that this new edition will be appreciated for its rich content, up-to-date coverage of data on the agriculture and allied sectors.
(Sudha P. Rao)
Date: June, 2018
SUDHA P. RAOPrincipal Adviser
Government of IndiaMinistry of Agriculture & Farmers Welfare
(Department of Agriculture, Cooperation & Farmers Welfare)
Krishi Bhawan, New Delhi-110001Tel.:011-23382719, Fax: 011-23073225
E-mail : [email protected]
Hkkjr ljdkjÑf"k ,oa fdlku dY;k.k ea=kky;
(Ñf"k] lgdkfjrk ,oa fdlku dY;k.k foHkkx)Ñf"k Hkou] ubZ fnYyh&110 001
ix
PREFACE The Directorate of Economics and Statistics, an attached office of the Department of Agriculture, Cooperation & Farmers Welfare, has been entrusted with an important task of collating and analyzing data on various aspects of Indian agriculture with a view to assist in policy formulation. Its annual flagship publication “Agricultural Statistics at a Glance” is a rich source of data on a wide range of parameters, such as area, production and productivity of various crops across States, land-use statistics, price support and procurement, international trade, credit and insurance.
This issue of the publication has been enriched with latest available information on above aspects and other useful information on emerging areas in agriculture sector. For wider accessibility, a soft copy of the publication has also been uploaded at our website: www.agricoop.nic.in & http://eands.dacnet.nic.in/.
I am grateful to the various contributing Ministries/ Departments/ Organizations for providing us with the updated material for the publication. I also record my gratitude to all the officers of the Directorate of Economics and Statistics, particularly Shri P.C. Bodh, Adviser and his team for their efforts in bringing out this enriched volume. I look forward to comments and suggestions for improvement.
(K.L Prasad) June 28, 2018
K.L. PrasadSr. Economic and Statistical Adviser
Directorate of Economics & StatisticsDepartment of Agriculture, Cooperation
& Farmers WelfareMinistry of Agriculture & Farmers Welfare
Government of India Krishi Bhawan, New Delhi-110 001
Telefax : 011-23382016E-mail: [email protected]
vFkZ ,oa lkaf[;dh funs'kky;Ñf"k] lgdkfjrk ,oa fdlku dY;k.k foHkkx
Ñf"k ,oa fdlku dY;k.k ea=kky;Hkkjr ljdkj
Ñf"k Hkou] ubZ fnYyh&110 001
x
Team associated with the Publication
Chief Supervision Shri P.C. Bodh Adviser
SupervisionMs. Swati Singla Assistant Economic AdviserShri Ashutosh Sharma Economic Officer
Compilation & ComputerizationShri Manish Yadav Junior Statistical OfficerMs. Neha Arora Technical Assistant (Eco)Shri Subhash Dawar DEO (Gr.-A) Ms. Sunita Virmani DEO (Gr.-B)
Support StaffShri Rinku MTS
xi
Contents
Page No.Message vForeword viiPreface ixTeam Associated with the Publication xiAcronyms xxiiiConversion Table xxvii
1. Methodology of Crop Estimation 1-7
2. Socio-Economic Indicators 9-50
2.1 Selected Economic and Social Indicators 102.2 Population and Growth Rate, 2011 132.3(a) Population and Agricultural Workers 152.3(b) State-wise Classification of Workers 2011 162.3(c) State-wise Classifications of Cultivators 2011 222.4 State-wise Percentage of Population Below Poverty Line 282.5 Population and Labour Force Projections 302.6(a) Gross Value Added (GVA) at basic prices by Economic
Activity (at 2011-12 prices) 31
Agricultural Statistics at a Glance 2017
xii
2.6(b) Gross Value Added (GVA) at basic prices by Economic Activity (at Current Prices) 33
2.6(c) Percentage Share in Gross Value Added (GVA) at Current Prices 35
2.6(d) Percentage Growth of Gross Value Added (GVA) at 2011-12 Prices 36
2.6(e) Gross Domestic Product (GDP) by Economic Activity at Constant Prices (2004-05 Series) 37
2.6(f) Gross Domestic Product(GDP) by Economic Activity at Current Prices (2004-05 Series) 39
2.6(g) Percentage Share of GDP at 2004-05 Prices 412.6(h) Percentage Growth of GDP at 2004-05 Prices 422.7(a) Gross State Value Added from Agriculture and Allied
Sector at Constant (2011-12) Prices 43
2.7(b) Gross State Value Added from Agriculture (including Crop and Livestock sector) at Constant (2011-12) Prices
45
2.7(c) Gross State Domestic Product from Agriculture and Allied Sector at Constant (2004-05) Prices 47
2.8 Share of Agriculture & Allied Sector in Gross State Value Added at Current Prices (2011-12 Series) 49
3. Outlays, Expenditure and Capital Formation in Agriculture 51-72
3.1 Share of Public Sector Outlays and Expenditure under Agriculture and Allied Activities 52
3.2 Public Sector Outlays / Expenditure 543.3 Disaggregated Public Sector Outlays / Expenditure
under Agriculture and Allied Activities 56
3.4(a) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Agriculture, Cooperation and Farmers Welfare
58
3.4(b) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Animal Husbandry, Dairying and Fisheries
59
3.4(c) Budget Estimate, Revised Estimate and Actual Expenditure of Department of Agricultural Research and Education
60
Contents
xiii
3.5(a) Scheme-wise Budget Estimate and Expenditure (Department of Agriculture, Cooperation and Farmers Welfare)
61
3.5(b) Scheme-wise Budget Estimate and Expenditure (Department of Animal Husbandry and Fisheries) 63
3.5(c) Scheme-wise Budget Estimate and Expenditure (Department of Agricultural Research and Education) 65
3.6(a) (Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2004-05 series) 67
3.6(b) Gross Capital Formation in Agriculture & Allied Sector (at current prices, 2011-12 series) 68
3.6(c) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2004-05) 69
3.6(d) Gross Capital Formation in Agriculture & Allied Sector (at constant prices, 2011-12) 70
3.7(a) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (Current prices) 70
3.7(b) Public and Private Investment in Agriculture and Allied Sectors in Total GDP at Market Prices (2011-12 prices) 71
3.8(a) Share(%) of GCF to GDP in Agriculture and Allied Sectors 71
3.8(b) Share(%) of GCF to GVA in Agriculture and Allied Sectors 72
4 (A) Area, Production and Yield of Principal Crops 73-151
4.1(a) Target and Achievement of Production of Major Crops during Tenth Five Year Plan 74
4.1(b) Target and Achievement of Production of Major Crops during Eleventh and Twelfth Five Year Plans 75
4.2 Three Largest Producing States of Important Crops during 2016-17 76
4.3 Normal Estimates (Average of 2010-11 to 2015-16) Area, Production and Yield of Major Crops in India 78
4.4 Season-wise Area, Production and Yield of Food grains 80
Area, Production and Yield alongwith coverage under Irrigation
4.5(a) Foodgrains - All India 834.5(b) Foodgrains - Major States 85
Agricultural Statistics at a Glance 2017
xiv
4.6(a) Rice - All India 874.6(b) Rice - Major States 894.7(a) Wheat - All India 904.7(b) Wheat - Major States 924.8(a) Coarse Cereals - All India 934.8(b) Coarse Cereals - Major States 954.9(a) Jowar - All India 974.9(b) Jowar - Major States 994.10(a) Bajra - All India 1004.10(b) Bajra - Major States 1024.11(a) Maize - All India 1034.11(b) Maize - Major States 1054.12(a) Total Pulses - All India 1064.12(b) Total Pulses - Major States 1084.13(a) Gram - All India 1094.13(b) Gram - Major States 1114.14(a) Tur (Arhar) - All India 1124.14(b) Tur (Arhar) - Major States 1144.15(a) Lentil (Masur) - All India 1154.15(b) Lentil (Masur) - Major States 1174.16(a) Nine Oilseeds - All India 1184.16(b) Nine Oilseeds - Major States 1204.17(a) Groundnut - All India 1214.17(b) Groundnut - Major States 1234.18(a) Rapeseed & Mustard - All India 1244.18(b) Rapeseed & Mustard - Major States 1264.19(a) Soybean - All India 1274.19(b) Soybean - Major States 1294.20(a) Sunflower - All India 1304.20(b) Sunflower - Major States 1324.21(a) Cotton - All India 1334.21(b) Cotton - Major States 1354.22(a) Jute & Mesta - All India 1364.22(b) Jute & Mesta - Major States 1384.23(a) Sugarcane - All India 1394.23(b) Sugarcane - Major States 141
Contents
xv
4.24(a) Tobacco - All India 1424.24(b) Tobacco - Major States 1444.25 All-India Area, Production and Yield of Guarseed and
Sunhemp 145
4.26 Production of Oilseeds/Oils and Net Availability of Edible Oils (November-October) 146
4.27 State wise Quantity of Crude Palm Oil (CPO) under 148Oil Palm Development Programme (OPDP)
4.28(a) State-wise Production of Oil Palm Fresh Fruit Bunches 1494.28(b) Target and Achievement of Area Expansion under Oil
Palm Development Programme (OPDP) of ISOPOM, NMOOP and OPAE
150
4.28(c) State-wise potential area and area Covered Under Oil Palm Development Programme upto 2016-17 151
4 (B) Yield Rates of Principal Crops 152-196
4.1.1 All India Estimates of yield of Major Crops 153
State-wise yield
4.1.2 Kharif Foodgrains 1554.1.3 Rabi Foodgrains 1574.1.4 Total Foodgrains 1594.1.5 Rice 1614.1.6 Wheat 1664.1.7 Bajra 1684.1.8 Maize 1704.1.9 Total Pulses 1744.1.10 Gram 1764.1.11 Tur 1784.1.12 Total Oilseeds 1804.1.13 Kharif Oilseeds 1824.1.14 Rabi Oilseeds 1844.1.15 Groundnut 1864.1.16 Rapeseed & Mustard 1894.1.17 Linseed 1914.1.18 Safflower 1924.1.19 Sunflower 1934.1.20 Soybean 196
Agricultural Statistics at a Glance 2017
xvi
4 (C) Area and Yield of Cereal Crops covered under Crop Estimation Survey (CES) 197-220
Area under High Yielding Varieties in Major States
4.2.1 Rice 1984.2.2 Jowar 2004.2.3 Bajra 2014.2.4 Maize 2024.2.5 Wheat 204
Yield of Local Varieties in Major States
4.2.6 Rice 2054.2.7 Jowar 2084.2.8 Bajra 2094.2.9 Maize 2104.2.10 Wheat 212
Yield of High Yielding Varieties in Major States
4.2.11 Rice 2134.2.12 Jowar 2164.2.13 Bajra 2174.2.14 Maize 2184.2.15 Wheat 220
5. Area, Production and Yield of Horticulture & Plantation Crops 221-244
5.1 Area and Production of Horticulture Crops 2225.2 State-wise Area and Production of various
Horticultural Crops during 2016-17 227
5.3(a) Potato – All India 2295.3(b) Potato – Major States 2315.4(a) Onion – All India 2325.4(b) Onion – Major States 2335.5(a) Coconut – All India 2345.5(b) Coconut – Major States 2355.6(a) Cashewnut – All India 2365.6(b) Cashewnut – Major States 2375.7 Arecanut and Banana – All India 238
Contents
xvii
5.8 Garlic and Ginger – All India 2395.9 Sweet Potato and Tapioca – All India 2405.10 Turmeric, Chilies and Coriander - All India 2415.11 Cardamom and Pepper – All India. 243
6. All India Index Numbers of Area, Production, Yield and Terms of Trade 245-256
6.1 All India Index Numbers of Area of Principal Crops 2466.2 All India Index Numbers of Production of Principal
Crops 249
6.3 All India Index Numbers of Yield of Principal Crops 2526.4(a) Index of Terms of Trade between Farmers and Non-
Farmers 255
6.4(b) Index of Terms of Trade between Agriculture and Non-Agricultural sectors 256
7. Area, Production and Yield of Major Crops in Different Countries 257-262
7.1 Area, Production and Yield of Principal Crops in various countries during 2015 258
7.2 India's Position in World Agriculture during 2015 260
8. Minimum Support Prices/ Marketed Surplus Ratios 263-276
8.1 Minimum Support Prices of Various Agriculture Commodities 264
8.2 Central Issue Prices of Rice, Wheat and Coarse Grains 2668.3 Cost Estimates of Principal Crops-2014-15 2678.4 Marketed Surplus Ratio (MSR) of Important
Agricultural Commodities in various States 272
9. Procurement by Public Agencies 277-286
9.1(a) State-wise Procurement of Rice and Wheat in Major Rice & Wheat Producing States 278
9.1(b) State-wise Procurement of Coarse Grains in Major Producing States 280
9.2(a) State wise Cotton Purchases by Cotton Corporation of India 281
9.2(b) Procurement of Cotton by NAFED 2829.3 State-wise Purchases of Raw Jute 283
Agricultural Statistics at a Glance 2017
xviii
9.4 Procurement of Oilseeds by NAFED under Price Support Scheme (PSS) 284
9.5 Procurement of Onion by NAFED under Market Intervention Scheme 286
10. Per Capita Net Availability 287-296
10.1 Per Capita Net Availability of Food grains (Per Annum) in India 288
10.2 Per Capita Net Availability of Food grains (Per Day) in India 290
10.3 Per Capita Availability of Certain Important Articles of Consumption 292
10.4(a) Trends in percentage composition of consumer expenditure since 1993-94 294
10.4(b) Per capita Consumption of Different Commodities 295
11. Stock, Consumption and Storage Capacity 297-304
11.1(a) Stock of Foodgrains in the Central Pool 29811.1(b) Existing Buffer Stock Norms for Foodgrains 29911.2 Consumption and Stocks of Raw Jute 30011.3(a) State-wise Storage capacity 30111.3(b) State-wise Cold Storage capacity as on 31-03-2017 30211.3(c) State-wise Storage capacity sanctioned since inception
under Agricultural Marketing Infrastructure (AMI), Sub-Scheme of Integrated Scheme on Agricultural Marketing (ISAM)
303
12. Imports/ Exports/ Inflation Rates 305-328
12.1 India's Imports and Exports of Agricultural Commodities 306
12.2 India's Imports of Agricultural Products 30712.3 India's Exports of Agricultural Products 31312.4 Tariffs and Bound Rates on Major Agricultural
Commodities/Groups 319
12.5(a) Trends in Wholesale Price Index of Food grains (Base: 2004-05=100) 322
12.5(b) Growth Rates of Wholesales price Index of Food grains (Base: 2004-05=100) 323
Contents
xix
12.6(a) Trends in Wholesale Price Index of Commercial Crops (Base: 2004-05=100) 324
12.6(b) Growth rate (Inflation) of Wholesale Price Index of Commercial Crops (Base: 2004-05=100) 326
13. Land Use Statistics 329-352
13.1 Agricultural Land by Use in India 33013.2 Selected Categories of Land Use 33413.3 Gross Cropped Area Percentage Distribution 33613.4 State-wise Percent coverage of Irrigated Area under
Principal Crops during 2014-15 337
13.5 Agricultural Land by Type of Use 34113.6 Irrigation Potential Created under Accelerated
Irrigation Benefit Programme (AIBP) – All Major & Medium Irrigation Projects
350
13.7 State-wise Area covered under Micro Irrigation as on 31.03.2017 352
14. Inputs 353-408
14.1 Production and Use of Agricultural Inputs in India 35414.2 All-India Consumption of Fertilizers in Terms of
Nutrients (N, P & K) 356
14.3 Consumption, Production and Import of Fertilizers 35714.4(a) State-wise Consumption of Fertilizers in Terms of
Nutrients (N, P & K) 359
14.4(b) State-wise Estimated Consumption of Fertilizer per Hectare 361
14.5(a) Fertilizer Consumption per Hectare of Agricultural Land in selected Countries 363
14.5(b) Fertilizer Consumption per Hectare of Arable Land & Land under permanent Crops in selected Countries 365
14.6(a) Application of Fertilizers on Paddy and Wheat in India 36714.6(b) State-wise Status of Soil Health Card Scheme – Cycle-I 36914.6(c) State-wise Status of Soil Health Card Scheme – Cycle-II 37114.7(a) Crop-wise Requirement and Availability of Certified/
Quality Seeds 373
14.7(b) Crop-wise Distribution of Certified/ Quality Seeds 37514.7(c) Crop-wise Requirement and Availability of Certified/
Quality of Hybrid Seeds 377
Agricultural Statistics at a Glance 2017
xx
14.8(a) Consumption of Electricity for Agricultural Purposes 37814.8(b) State-wise Consumption of Electricity for Agriculture
purpose 379
14.9(a) Flow of Institutional Credit to Agriculture Sector 38214.9(b) State-wise Agriculture loan disbursed in 2016-17 38314.10 State-wise and Agency-wise KCCs- Issued and Amount
Outstanding as on 31st March 2017 (Cumulative) 385
14.11(a) State-wise National Agricultural Insurance Scheme (NAIS)-Cumulative upto Rabi 2015-16 387
14.11(b) Season- wise National Agricultural Insurance Scheme (NAIS)- Cumulative upto Rabi 2015-16 389
14.12(a) State-wise Weather Based Crop Insurance Scheme (WBCIS)- Cumulative upto Rabi 2015-16 392
14.12(b) Season- wise Weather Based Crop Insurance Scheme (WBCIS)- Cumulative upto Rabi 2015-16 393
14.13(a) State-wise Modified National Agricultural Insurance Scheme (MNAIS) Cumulative upto Rabi 2015-16 395
14.13(b) Season- wise Modified National Agricultural Insurance Scheme (MNAIS)- Cumulative upto Rabi 2015-16 396
14.14 Coconut Palm Insurance Scheme (CPIS)- Cumulative from 2009-10 to 2016-17 397
14.15(a) State-wise coverage under PMFBY Cumulative upto Rabi 2016-17 398
14.15(b) Season-wise coverage under PMFBY Cumulative upto Rabi 2016-17 400
14.16(a) State-wise Restructured Weather Based Crop Insurance Scheme (RWBCIS) - Cumulative upto Rabi 2016-17 401
14.16(b) Season-wise Restructured Weather Based Crop Insurance Scheme (RWBCIS) - Cumulative upto Rabi 2016-17
403
14.17(a) State-wise crop area insured under all Insurance Schemes 404
14.17(b) Crop-wise area insured under all Insurance Schemes 40614.18(a) Year-wise sale of Tractors and Power Tillers 40714.18(b) State-wise sale of Tractors during 2016-17 408
Contents
xxi
15. Agricultural Census (2010-11) and Input Survey (2011-12) 409-424
15.1 Number and Area of Operational Holdings by Size Group 410
15.2(a) Number of Operational Holdings by Size Group 41115.2(b) Area of Operational Holdings by Size Group 41315.3 Average Size of Holdings by Size Group 41515.4 Estimated Number of Operational Holdings by Size
Classes and Irrigation Status 417
15.5 Area Irrigated by different Source of Irrigation by Size Classes 418
15.6 Irrigated and Un-irrigated Area by Size Classes under different Crops 419
15.7 Usage of Chemical Fertilizers, Farm Yard Manure and Pesticides by major Size Group 420
15.8 Estimated Institutional Credit taken for Agricultural purposes by Size Groups 422
15.9 Total Institutional Credit taken for Agriculture purposes by different Size Groups 424
16. Situation of Agricultural Households in India 425-430
16.1 Estimated Number of Rural Households, Agricultural Households and Indebted Agricultural Households during the agricultural year July 2012-June 2013
426
16.2 Indebtedness of Agricultural Households (all-India) in different Size Classes of Land Possessed 428
16.3 Incidence of Indebtedness in Major States 42916.4 The Percentage Distribution of Indebted Agricultural
Households by size class of land possessed for selected states
430
17. Ceiling on Land Holdings and Wages for Agricultural Workers 431-436
17.1 Ceilings on Land Holdings 43217.2 Minimum Rates of Wages for different category
of Farm Workers in different States/UTs under the Minimum Wages Act,1948
433
18. Livestock 437-444
18.1 Livestock Population in India 438
Agricultural Statistics at a Glance 2017
xxii
18.2 All India Production of Milk, Eggs and Wool 43918.3 State-wise production of Milk, Eggs, Meat and Wool 440
19. Fish Production 445-448
19.1 Fish Production in India 44619.2 State-wise Production of Fish 447
20. Rainfall Scenario and Management of Natural Disasters 449-467
20.1 Rainfall Status 44920.2 Performance of South West Monsoon during 1989 to
2017 451
20.3 All India Rainfall Distribution from 1992-93 to 2017-18 45220.4 Broad region wise Monsoon (June-September) Rainfall
Distribution from 2005 to 2017 454
20.5 Rainfall in 2017 45520.6 Brief History of Most Intense Cyclones from 1970 to
2017 457
21. Conversion Factors between Important Primary and Secondary Agricultural Commodities 469-471
22. List of Studies Conducted by Agro-Economic Research Centres 472-481
Appendices 482-511
I Explanatory Notes 483II Methodology on Index Numbers 485III Glossary of English, Botanical and Hindi Names of
Important Crops 487
IV Crop Calendar of Major Crops 490V Harvesting Season of major Fruits 506Vl Harvesting Season of major Vegetables 508Vll Seed Rate of Sowing for Important Field Crops 510
xxiii
AcronymsAAY Antyodaya Anna YojanaAE Advance EstimateAGDP Gross Domestic Product from AgricultureAPL Above Poverty LineBE Budget EstimatesBPL Below Poverty LineCACP Commission for Agricultural Costs and PricesCBB Commercial Bank BranchCCE Crop Cutting ExperimentsCCI Cotton Corporation of IndiaCDSBO Crude Degumed Soyabean OilCES Crop Estimation SurveysCFA Central Financial AgencyCIF Cost, Insurance & FreightCIP Central Issue PriceCPI-IW Consumer Price Index for Industrial WorkersCWWG Crop Weather Watch GroupDAC&FW Department of Agriculture, Cooperation & Farmers
Welfare
xxiv
DAP Di Ammonium Phosphate DES Directorate of Economics and StatisticsE EstimatedEARAS Establishment of an Agency for Reporting of
Agricultural StatisticsFAO Food and Agriculture Organisation of United NationsFAQ Fair Average QualityF2 Black SoilF-414/H-777/J-34 Cotton variety (of Medium Staple Length)H-4/H-6 Cotton variety (of Long Staple Length)FCI Food Corporation of IndiaFDI Foreign Direct InvestmentFFB Fresh Fruit BunchFOD Field Operations Division of NSSOFRL Full Reservoir LevelFYM Farm Yard Manure GCA Gross Cropped AreaGCES General Crop Estimation SurveyGCF Gross Capital FormationGDP Gross Domestic ProductGNP Gross National ProductGSDP Gross State Domestic ProductGVA Gross Value AddedHa HectaresHYV High Yielding VarietiesI Irrigated IAS Improvement of Agricultural StatisticsICAR Indian Council of Agricultural ResearchICOR Incremental Capital Output RatioICS Improvement of Crop StatisticsK PotashKCC Kisan Credit CardKgs KilogramsKMPH Kilometers Per Hour
Agricultural Statistics at a Glance 2017
xxv
KWH Kilo Watt HourLS Light SoilLPCPD Litres Per Capita Per DayMSCCGMF Maharashtra State Co-operative Cotton Growers
Marketing FederationMIS Market Intervention SchemeMSP Minimum Support PriceMSR Marketed Surplus RatioN NitrogenNA Not Available/Not Announced NC Not CollectedNCAER National Council of Applied Economic ResearchNQ Not QuotedNAFED National Agricultural Co-operative Marketing Federation
of India LimitedNCAER National Council of Applied Economic ResearchNDDB National Dairy Development BoardNeg. NegligibleNNP Net National ProductN,P&K Nitrogen, Phosphate and PotashNR Not Recommended/ Not Reported NS New Series EstimatesNSA Net Sown AreaNSSO National Sample Survey OrganisationOECD Organisation of Economic Cooperation and
DevelopmentOPDP Oil Palm Development ProgrammeP Provisional/ Phosphate PACS Primary Agricultural Credit SocietyPDS Public Distribution SystemPLDB Primary Land Development BankPMKSY Pradhan Mantri Krishi Sinchayee YojanaPMFBY Pradhan Mantri Fasal Bima YojanaPSE Producers Support EstimatePSEs Public Sector Enterprises
Acronyms
xxvi
PSS Price Support SchemeQE Quick EstimateR RevisedR&D Research & DevelopmentR&M Rapeseed & MustardRMC Regional Ministers ConferenceRE Revised EstimatesRRBB Regional Rural Bank BranchSCB State Cooperative BankSDP State Domestic ProductSASA State Agricultural Statistical AuthoritySHC Soil Health CardSLDB State Land Development BankSRS Sample Registration SchemeSSP Single Super Phosphate T TargetT E Triennium EndingTD-5 Tossa Deshi variety of JuteTPDS Targeted Public Distribution SystemTRQ Tariff Rate QuotaTRRM Tropical Rains Measuring MissionTT Tentative TargetsUI Un-irrigatedUT Union TerritoryWPI Wholesale Price IndexWTO World Trade OrganisationY Yield (Index Number of Yield) per hectare
Agricultural Statistics at a Glance 2017
xxvii
Conversion Table
Length 1 kilometre (km) 1000 metres (m) 1 km 0.6214 miles1 m 1.0936 yards1 m 3.2808 feet 1 mile 1760 yards1 mile 1.609 km1 yard 0.9144 m1 foot 0.3048 mArea1 km2 100 hectares (ha)1 km2 0.3861 square mile1 km2 247.105 acres1 m2 10.7639 square feet1 ha 10,000 m21 ha 2.4711 acres1 square mile 2.59 1 km21 acre 0.4047 ha
xxviii
1 acre 4046.86 m21 acre 4840 square yard 1 square yard 9 square feet1 square yard 0.8361 m21 square foot 0.0929 m2Weight1 tonne 1000 kg1 tonne 1.1023 US ton1 US ton 0.9072 tonnes1 hg 100 gram 1 kg 2.2046 pounds (Ib)1 kg 35.274 ounce (oz)1 lb 0.4536 kg1 oz 28.3495 gramUnits1 crore 10 million1 million 10 lakh1 lakh 1000001 billion 1000 million
Agricultural Statistics at a Glance 2017
1
1.1 IntroductionThe Directorate of Economics and Statistics (DES) releases estimates of area, production and yield in respect of principal crops of food grains, oilseeds, sugarcane, fibers and important commercial and horticulture crops. These crops together account for nearly 80 per cent of agricultural output. The estimates of crop production are obtained by multiplication of area estimates by corresponding yield estimates. The estimates of area and yield rates assume prime importance in the entire gamut of agricultural statistics.
1.2 Area StatisticsFrom the point of view of collection of area statistics, the States in the country are divided into three broad categories. The first category covers States and UTs which are cadastrally surveyed and the area and land use statistics are built up as a part of the land records maintained by the revenue agencies, these states are called “Land Record States” or temporarily settled states. This system is followed in 18 major states of Andhra Pradesh, Assam (excluding hilly districts), Bihar, Chhattisgarh, Gujarat, Haryana, Himachal Pradesh, Jammu & Kashmir, Jharkhand, Karnataka, Madhya Pradesh, Maharashtra, Punjab, Rajasthan, Tamil Nadu, Telangana, Uttar Pradesh and Uttarakhand and 4 UTs of Chandigarh, Delhi, Dadra & Nagar Haveli and Puducherry. These States/UTs account for
1
Methodology of Crop Estimation
2 Agricultural Statistics at a Glance 2017
about 86% of reporting area and are covered under Timely Reporting Scheme (TRS) under which 20% villages are selected at random for complete area enumeration.
The second category includes those States where area statistics are collected on the basis of sample surveys conducted under the scheme of Establishment of an Agency for Reporting of Agricultural Statistics (EARAS). This scheme was introduced in Kerala, Odisha and West Bengal, and later extended to Arunachal Pradesh, Nagaland, Sikkim and Tripura. The scheme envisages, inter-alia, estimation of area through sample surveys in a sufficiently large sample of 20% villages/investigator zones. These states account for about 9% of reporting area.
The third category covers the hilly districts of Assam, the rest of North-Eastern states (other than Arunachal Pradesh, Nagaland, Tripura and Sikkim), Goa, UTs of Andaman & Nicobar Islands, Daman & Diu and Lakshadweep where no reporting agency had been functioning. In this category of states, work of collection of Agricultural Statistics is entrusted with the village headmen. The area statistics in these states are based on impressionistic approach. These areas/states account for 5% of the reporting area.
1.3 Yield EstimatesThe second most important component of production statistics is yield rates. The yield estimates of major crops are obtained through analysis of Crop Cutting Experiments (CCE) conducted under scientifically designed General Crop Estimation Surveys (GCES). At present over 95% of the production of foodgrains is estimated on the basis of yield rates obtained from the CCEs. Field Operations Divisions (FOD) of the National Sample Survey Organization (NSSO) has been providing technical guidance to the States and Union territories for organizing and conducting Crop Estimation Surveys for estimating yield rates of principal crops. In addition, NSSO in collaboration with States/Union Territories implements sample check programmes on area enumeration work, area aggregation and conduct of crop cutting experiments under the Scheme for Improvement of Crop Statistics (ICS). While executing the programme of sample checks on crop cutting experiments, the FOD associates itself with the operational aspects of the conduct of crop cutting experiments right from selection of sample villages, training of field staff to the supervision of field work, and in the process gathers micro level information relating to conduct of crop cutting experiments for estimation of crop yield. The results of Crop Estimation Surveys are analyzed and annual publication entitled “Consolidated Results of Crop Estimation Surveys on Principal Crops” is brought out by the NSSO regularly.
The primary objective of GCES is to obtain fairly reliable estimates of average yield of principal food and non-food crops for States and UTs which
3Methodology of Crop Estimation
are important from the point of view of crop production. The estimates of yield rates thus arrived at are generally adopted for the purposes of planning, policy formulation and implementation. The CCEs consist of identification and marking of experimental plots of a specified size and shape in a selected field on the principle of random sampling, harvesting and threshing the produce and recording of the harvested produce for determining the percentage recovery of dry grains or the marketable form of the produce.
1.4 CoverageThe crop-wise details of number of experiments planned under GCES during 2013-14 are given in Table 1.1
Table1.1 Experiments Planned under GCES during 2013-14 Crop Type/Crop No. of experiments Planned
Kharif Rabi Total1. Food CropsPaddy 266548 24685 291233Wheat - 255086 255086Jowar 22588 15222 37810Bajra 37634 844 38478Maize 53320 5093 58413Ragi 10148 1491 11639Barley - 6724 6724Gram - 42488 42488Sugarcane* 28834 607 29441Other Crops 113419 64291 177710Total 532491 416531 9490222. Non-Food Crops Groundnut 23039 5025 28064Sesamum 18581 4425 23006Castor 2718 - 2718Rape & Mustard - 48374 48374Linseed - 3408 3408Cotton 19964 - 19964Jute 4114 - 4114Mesta 764 - 764Other Crops 21244 16228 37472Total 90424 77460 167884
Total (1+2) 622915 493991 1116906
* 607 experiments of Sugarcane are of Rabi season in West Bengal. Source: AS Wing, NSSO (FOD), Faridabad
4 Agricultural Statistics at a Glance 2017
1.5 Sampling Design Stratified multi-stage random sampling design is generally adopted for
carrying out GCES with tehsils/ taluks/ revenue inspector circles/ CD blocks/ anchals, etc., as strata, revenue villages within a stratum as first stage unit of sampling, survey numbers/fields within each selected village as sampling unit at the second stage and experimental plot of a specified shape and size as the ultimate unit of sampling as depicted in Figure 1.1.
Figure 1.1: Sampling Design for GCES
Tehsil / Taluk↓
Revenue Village↓
Survey Number / Field↓
Experimental Plot(Specified size / shape)
In each selected primary unit, generally 2 survey numbers/fields growing the experimental crop are selected for conducting CCE. Generally, 80-120 experiments are selected in a major crop growing district, where a district is considered as major for a given crop if the area under the crop in the district exceeds 80,000 hectares or lies between 40,000 and 80,000 hectares but exceeds the average area per district in the State. Otherwise, the district is considered as minor for a given crop. Experiments in minor districts are so adjusted that the precision of the estimates is fairly high and the workload on the field staff is manageable. On an average, about 44 or 46 experiments are planned in a minor district. The number of experiments allotted to a district is distributed among the strata within the district roughly in proportion to the area under the crop in the stratum.
1.6 Advance Estimates of Area and ProductionThe period of an agricultural crop year is from July to June, during which various farm operations from preparation of seed bed, nursery, sowing, transplanting various inter-culture operations, harvesting, threshing etc. are carried out. Different crops are grown during the agricultural seasons in a crop year.
Final estimates of production based on complete enumeration of area and yield through crop cutting experiments become available much after the crops are actually harvested. However, the Government requires advance estimates of production for taking various policy decisions relating to pricing, marketing,
5Methodology of Crop Estimation
export/import, distribution, etc. Considering the genuine requirement of crop estimates much before the crops are harvested for various policy purposes, a time schedule of releasing the advance estimates has been evolved. These estimates of crops are prepared and released at four points of time during a year as enumerated below.
1.7 First Advance EstimatesThe first advance estimates of area and production of kharif crops are prepared in September every year, when south-west monsoon season is about to be over and kharif crops are at an advanced stage of maturity. The assessment is made by the State Governments based on the reports from the field offices of the State Department of Agriculture. They are mainly guided by visual observations. These are validated on the basis of inputs from the proceedings of Crop Weather Watch Group (CWWG) meetings, and other feedback such as relevant availability of water in major reservoirs, availability/supply of important inputs including credit to farmers, rainfall, temperature, irrigation etc.
1.8 Second Advance EstimatesThe second advance estimates are made in the month of January every year. The advance estimates of kharif crops may undergo a revision in the light of flow of more precise information from the State Governments. The Second Advance Estimates then cover the second assessment in respect of kharif Crops and the first assessment in respect of Rabi Crops.
1.9 Third Advance EstimatesThe third advance estimates are prepared towards the end of March/ beginning of April every year. The earlier advance estimates of both kharif and rabi seasons are firmed up/ validated with the information available with State Agricultural Statistical Authorities (SASAs), remote sensing data, available with Space Application Centre, Ahmedabad as well as the proceedings of CWWG.
1.10 Fourth Advance Estimates The fourth advance estimates are prepared in the month of June/July every year. Since most of the rabi crops get harvested by the end of May, SASAs are in a position to supply the estimates of both kharif and rabi seasons as well as likely assessment of summer crops. Like the third advance estimates, the fourth advance estimates are duly validated with the information available from other sources.
1.11 Final EstimatesUnder the existing system of crop estimation, the fourth advance estimates are
6 Agricultural Statistics at a Glance 2017
followed by final estimates in December / January of the following agricultural year. The main factors contributing to the relatively large number of crop estimates are the large variations in crop seasons across the country and the resulting delay in the compilation of yield estimates based on crop cutting experiments. As agriculture is a State subject, Central Government depends upon State Governments for accuracy of these estimates. For this purpose, State Governments have setup High Level Coordination Committees (HLCC) comprising, inter-alia, senior officers from the Departments of Agriculture, Economics & Statistics, Land Records and NSSO (FOD), IASRI, DES from Central Government for sorting out problems in preparation of these estimates in a timely and orderly manner.
1.12 Forecasting Agricultural output using Space, Agro-meteorology and Land based observations (FASAL)
The FASAL scheme was approved as a central sector plan scheme of Directorate of Economics & Statistics, DAC&FW and is in operation since August 2006. The scope of work of the FASAL scheme involved developing Econometric, Agromet and Remote Sensing based models to generate crop forecast at National, State and District level. Multiple forecast of 11 major crops namely Rice (Kharif & Rabi), Jowar (Kharif & Rabi), Maize, Bajra, Jute, Ragi, Cotton, Sugarcane, Groundnut (Kharif & Rabi), Rapeseed & Mustard and Wheat were envisaged at National/State/District level depending on the status of technology available. However, based on the technology feasibility and the requirement, the 11 crops are changed to Rice (Kharif & Rabi), Jowar(Rabi), Maize (Rabi), Soybean, Jute, Pulses (Rabi), Cotton, Sugarcane and Groundnut(Rabi), Rapeseed & Mustard and Wheat.
In order to give further impetus to use Remote Sensing (RS) in Agriculture, implementation strategy of the FASAL scheme was revised in March, 2011. The revised strategy, inter-alia, envisaged transfer of existing operational crop forecast and drought assessment Remote Sensing methodologies developed by Indian Space Research Organization (ISRO) to a new centre to be created in the DAC&FW itself allowing ISRO to focus on R&D on the RS methodology for remaining crops and fine tuning of the existing RS methodologies on crop and drought assessment. In pursuance of the decisions contained in the approved SFC Memo of the FASAL scheme, a new centre, Mahalanobis National Crop Forecast Centre (MNCFC) has commenced operationalizing the Remote Sensing methodology transferred from ISRO. The main objective of the Centre is to prepare multiple-in-season crop forecast and assessment of drought situation using state of the art techniques and methodologies for selected major crops.
7Methodology of Crop Estimation
Physical Performance of FASAL scheme:The project successfully provided National/State/District level forecast of Wheat, Rice (Kharif and Rabi), Jute, Sugarcane, Cotton, Rapeseed/mustard, Wheat and Rabi sorghum in their major growing regions, in the country. Forecast based on Agromet models are being received at State/District level. These forecasts are utilized for validation of advance estimates released by DES / DAC&FW.
The funds are released to the implementing agencies viz (i) Space Applications Centre, Ahmedabad (for developing / fine tuning of RS methodology), (ii) India Meteorological Department, Delhi (Agromet component) and (iii) Institute of Economic Growth (Econometric models) in 2/3 installments every year. The physical and financial progress is received from each of the implementing agencies after release of each installment.
Financial Outlay of FASAL schemeAn amount of Rs. 12.19 crore has been approved as RE for the F.Y. 2017-18 under the FASAL scheme. So far, the expenditure under the FASAL scheme has been 9.53 crore (till 28.02.2018).
ERFS ProjectBesides, Extended Range Forecast System (ERFS) Project is being implemented since 2007 with the objective of forecasting rainfall and air temperature at district level on monthly scale. For the implementation of ERFS Project, funds are released to IIT Bhubaneswar.
2
Socio-Economic Indicators
10 Agricultural Statistics at a Glance 2017Ta
ble:
2.1
Sel
ecte
d E
cono
mic
and
Soc
ial I
ndic
ator
s
Eco
nom
ic I
ndic
ator
s19
50-5
119
60-6
119
90-9
120
00-0
120
10-1
120
11-1
220
12-1
320
13-1
420
14-1
520
15-1
6 20
16-1
7 (P
E)
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
EC
ON
OM
IC I
ND
ICA
TO
RS
GVA
a (a
t cur
rent
pric
es in
` c
rore
)10
036
1704
953
1814
2000
743
7248
860
8106
946
9202
692
1036
3153
1150
4279
1256
6646
#13
8415
91@
GVA
a (at
con
stan
t pric
es in
` c
rore
)27
9618
4102
7913
4788
923
4848
149
1853
381
0694
685
4627
590
6364
997
1213
310
5033
48#
1124
7629
@
Per c
apita
Net
Nat
iona
l Inc
ome
at fa
ctor
co
st a
t con
stan
t pric
es (
`)75
1394
8215
996
2249
139
270
6346
265
538
6857
272
805
7782
6#82
229@
Gro
ss D
omes
tic C
apita
l For
mat
ion
as
perc
enta
ge o
f G
DP
(at c
urre
nt m
arke
t pr
ices
)
9.3
14.3
26.0
24.3
36.5
39.0
38.7
33.8
33.5
32.3
30.6
Gro
ss d
omes
tic sa
ving
s as
perc
enta
ge o
f G
DP
(at c
urre
nt m
arke
t pric
es)
9.5
11.6
22.9
23.7
33.7
34.6
33.9
32.1
32.2
31.3
30.0
Inde
x of
agr
icul
tura
l pro
duct
ion
[bas
e:
Trie
nniu
m e
ndin
g 19
81-8
2] fo
r the
dat
a gi
ven
till 2
000-
01 a
nd b
ase
i.e. e
ndin
g 20
07-0
8 fr
om 2
009-
10 o
nwar
ds
46.2
68.8
148.
416
5.7
121.
112
4.5
124.
212
9.8
124
120.
813
0.6
Inde
x of
indu
stria
l pro
duct
ion
(Bas
e:
2004
-05=
100)
b7.
915
.691
.616
2.6
165.
517
0.3
103.
310
6.7
111.
011
4.7
120.
0
Who
lesa
le P
rice
Inde
x av
erag
e c6.
87.
973
.715
5.7
143.
315
6.1
106.
911
2.5
113.
910
9.7
111.
6
Con
sum
er P
rice
Inde
x fo
r Ind
ustri
al
wor
kers
d17
21.0
193.
044
4.0
180.
019
5.0
215.
023
6.0
251.
026
5.0
276.
0
OU
TPU
T
(a) F
oodg
rain
s [m
illon
tonn
es]
50.8
82.0
176.
419
6.8
244.
525
9.3
257.
126
5.0
252.
025
1.6
275.
68e
(b) C
oal a
nd li
gnite
[mill
on to
nnes
]32
.355
.222
5.5
332.
657
0.4
582.
360
2.9
610.
065
7.4
683
704.
4(P)
(c) C
rude
oil
[mill
on to
nnes
]0.
30.
533
.032
.437
.738
.137
.937
.837
.436
.936
.0
(Con
td.)
11Socio-Economic Indicators
Eco
nom
ic I
ndic
ator
s19
50-5
119
60-6
119
90-9
120
00-0
120
10-1
120
11-1
220
12-1
320
13-1
420
14-1
520
15-1
6 20
16-1
7 (P
E)
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(d) E
lect
ricity
gen
erat
ed [u
tiliti
es o
nly]
[b
illon
KW
H]
5.0
17.0
264.
050
0.0
844.
892
2.5
964.
510
26.6
1105
.111
67.6
1236
.4
Plan
out
lay (`
cro
re)
2601
1117
5836
918
5737
8262
6893
6292
9719
5112
8102
2 (R
E)
4208
82f
5827
07(R
E)f
7062
48.4
(BE
)
FORE
IGN
TRA
DE
(i) E
xpor
ts (`
Cro
re)
606
642
3255
320
3571
1136
964
1465
959
1634
319
1905
011
1896
348
1716
378
1849
429
(US
$ m
illio
n)12
6913
4618
143
4407
625
1136
3059
6430
0401
3144
0531
0338
2622
9027
5852
(ii) I
mpo
rts (
` C
rore
)60
811
2243
198
2308
7316
8346
723
4546
326
6916
227
1543
427
3708
724
9029
825
7766
6
(US
$ m
illio
n)12
7323
5324
075
4997
536
9769
4893
1949
0737
4502
0044
8033
3810
0738
4356
Fore
ign
exch
ange
rese
rves
g [e
xclu
ding
go
ld,S
DRs
and
Rev
erse
Tra
nche
Pos
ition
at
IMF]
; (`
Cro
re)
911
186
4388
1844
8212
2488
313
3051
114
1263
116
6091
419
8545
822
1906
122
4493
9
(U
S $
mill
ion)
1914
390
2236
3955
427
4330
2600
6925
9726
2763
5929
5947
3361
0434
6319
SOC
IAL
IND
ICA
TO
RS
Popu
latio
n (M
illio
n)h
361
439.
284
6.4
1028
.711
86.0
1220
.012
35.0
1251
.012
67.0
1283
.012
99.0
Birt
h Ra
te (p
er 1
000)
i39
.941
.729
.525
.421
.8k
21.6
k21
.4k
21.0
k20
.820
.4N
A
Dea
th R
ate
(per
100
0) i
27.4
22.8
9.8
8.4
7.1k
7.0k
7.0k
6.7k
6.5
6.4
NA
Life
Exp
ecta
ncy
at B
irth
(in Y
ears
) j32
.141
.358
.762
.567
.067
.567
.968
.3N
AN
AN
A
(a) M
ale
32.5
41.9
58.6
61.6
65.4
65.8
66.4
66.9
NA
NA
NA
(b) F
emale
31.7
40.6
59.0
63.3
68.8
69.3
69.6
70.0
NA
NA
NA
Edu
catio
n: L
itera
cy R
ate
(%) l
18.3
28.3
52.2
64.8
73.0
NA
NA
NA
NA
NA
NA
(Con
td.)
Tabl
e: 2
.1 (C
ontd
.)
12 Agricultural Statistics at a Glance 2017E
cono
mic
Ind
icat
ors
1950
-51
1960
-61
1990
-91
2000
-01
2010
-11
2011
-12
2012
-13
2013
-14
2014
-15
2015
-16
2016
-17
(PE
)
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(a) M
ale
27.2
40.4
64.1
75.3
82.1
NA
NA
NA
NA
NA
NA
(b) F
emal
e8.
915
.439
.353
.765
.5N
AN
AN
AN
AN
AN
A
BE:
Budg
et E
stim
ate,
RE: R
evise
d E
stim
ate,
AE
: Adv
ance
Est
imat
e, PE
: Pro
visio
nal E
stim
ate
NA
: N
ot A
vaila
ble
#
: 2n
d Re
vise
d E
stim
ates
(New
Ser
ies)
^ T
he fi
gure
s bef
ore
2012
-13
are
mea
sure
d at
fact
or c
ost.
The
figur
es fr
om 2
012-
13 o
nwar
ds a
re m
easu
red
at b
asic
pric
es.
@:
1st R
evise
d E
stim
ates
(New
Ser
ies)
a: G
VA a
t fac
tor c
ost e
stim
ates
prio
r to
2011
-12
are
base
d on
200
4-05
serie
s. E
stim
ates
from
Yea
r 201
1-12
onw
ards
(with
Bas
e 20
11-1
2) a
re a
vaila
ble
at B
asic
Pric
es o
nly.
b:
The
Inde
x of
Indu
stria
l Pro
duct
ion
has b
een
revi
sed
since
201
2-13
on
base
201
1-12
. The
figu
res f
rom
201
2-13
onw
ards
are
bas
ed o
n cu
rren
t ser
ies (
2011
-12)
. and
ear
lier
data
are
bas
ed o
n ol
d ba
se y
ears
.
c:
T
he fi
gure
s fro
m 2
012-
13 o
nwar
ds a
re b
ased
on
curr
ent s
erie
s 201
1-12
=10
0 an
d ea
rlier
dat
a ar
e ba
sed
on o
ld b
ase
year
s.
d:
T
he fi
gure
s fro
m 2
009-
10 o
nwar
ds a
re b
ased
on
curr
ent s
erie
s 200
1=10
0 an
d ea
rlier
dat
a ar
e ba
sed
on o
ld b
ase
year
s.
e:
4t
h A
dvan
ce E
stim
ates
.
f:
Out
lays a
re o
nly
of th
e C
entre
as O
utlay
s of
Stat
e &
UTs
are
Not
Ava
ilabl
e fr
om 2
014-
15 o
nwar
ds.
g:
A
s on
end-
Mar
ch.
h:
Rela
tes t
o m
id-fi
nanc
ial y
ear (
as o
n O
ctob
er 1
) bas
ed o
n po
pula
tion
figur
es o
f C.
S.O
.
i:
For c
alen
dar y
ear.
Figu
re sh
own
agai
nst 1
990-
91 is
for c
alen
dar y
ear 1
991
and
so o
n. S
ourc
e: O
ffice
of
R.G
.I.
j:
D
ata
for 1
950-
51, 1
960-
61, 1
970-
71 a
nd 1
980-
81 re
late
to th
e de
cade
s 194
1-50
, 195
1-60
, 196
1-70
and
197
1-80
resp
ectiv
ely,
cent
ered
at m
idpo
ints
of
the
deca
de, i
.e., 1
946,
19
56, 1
966
and
1976
. The
est
imat
es fo
r 199
0-91
refe
r to
the
perio
d 19
88-9
2 an
d so
on.
E
stim
ates
for 2
010-
11 re
fers
to a
brid
ged
life
tabl
e of
per
iod
2008
-12,
201
1-12
refe
rs to
200
9-13
, 201
2-13
refe
rs to
201
0-14
and
201
3-14
refe
rs to
201
1-15
.
k:
Est
imat
es fr
om S
ampl
e Re
gist
ratio
n Sy
stem
and
SRS
Sta
tistic
al R
epor
t, O
ffice
of
RGI.
l:
Dat
a fo
r 195
0-51
, 196
0-61
, 197
0-71
, 198
0-81
, 199
0-91
and
200
0-01
are
as p
er C
ensu
s of
Indi
a 1
951,
1961
, 197
1, 1
981,
199
1 an
d 20
01. T
he fi
gure
s for
195
1 19
61 a
nd 1
971
rela
te to
pop
ulat
ion
aged
5 y
ears
and
abo
ve a
nd th
ose
for 1
981,
199
1, 2
001
and
2011
to p
opul
atio
n ag
ed 7
yea
rs a
nd a
bove
. All
Indi
a lit
erac
y ra
tes e
xclu
de A
ssam
for 1
981
and
J&K
for 1
991.
Sour
ce: M
inist
ry o
f Fi
nanc
e, D
epar
tmen
t of
Com
mer
ce, C
SO a
nd R
BI.
13Socio-Economic IndicatorsTa
ble
2.2:
Pop
ulat
ion
and
Gro
wth
Rat
e - 2
011
Sl. N
o.St
ates
/ U
Ts
Popu
latio
nD
ecad
al G
row
th (%
)
Mal
eFe
mal
eTo
tal
1991
-200
120
01-2
011
(1)
(2)
(3)
(4)
(5)
(6)
(7)
Indi
a62
3,27
0,25
858
7,58
4,71
91,
210,
854,
977
21.5
417
.72
1Ja
mm
u &
Kas
hmir
6,64
0,66
25,
900,
640
12,5
41,3
0229
.43
23.6
4
2H
imac
hal P
rade
sh
3,48
1,87
33,
382,
729
6,86
4,60
217
.54
12.9
4
3Pu
njab
14,6
39,4
6513
,103
,873
27,7
43,3
3820
.10
13.8
9
4C
hand
igar
h 58
0,66
347
4,78
71,
055,
450
40.2
817
.19
5U
ttara
khan
d5,
137,
773
4,94
8,51
910
,086
,292
20.4
118
.81
6H
arya
na13
,494
,734
11,8
56,7
2825
,351
,462
28.4
319
.90
7D
elhi
8,
987,
326
7,80
0,61
516
,787
,941
47.0
221
.21
8Ra
jast
han
35,5
50,9
9732
,997
,440
68,5
48,4
3728
.41
21.3
1
9U
ttar P
rade
sh10
4,48
0,51
095
,331
,831
199,
812,
341
25.8
520
.23
10Bi
har
54,2
78,1
5749
,821
,295
104,
099,
452
28.6
225
.42
11Si
kkim
323,
070
287,
507
610,
577
33.0
612
.89
12A
runa
chal
Pra
desh
713,
912
669,
815
1,38
3,72
727
.00
26.0
3
13N
agal
and
1,02
4,64
995
3,85
31,
978,
502
64.5
3-0
.58
14M
anip
ur
1,43
8,58
61,
417,
208
2,85
5,79
424
.86
31.8
0
15M
izor
am55
5,33
954
1,86
71,
097,
206
28.8
223
.48
16Tr
ipur
a1,
874,
376
1,79
9,54
13,
673,
917
16.0
314
.84
17M
egha
laya
1,49
1,83
21,
475,
057
2,96
6,88
930
.65
27.9
5
18A
ssam
15,9
39,4
4315
,266
,133
31,2
05,5
7618
.92
17.0
7
19W
est B
enga
l46
,809
,027
44,4
67,0
8891
,276
,115
17.7
713
.84
(Con
td.)
14 Agricultural Statistics at a Glance 2017
Sl. N
o.St
ates
/ U
Ts
Popu
latio
nD
ecad
al G
row
th (%
)
Mal
eFe
mal
eTo
tal
1991
-200
120
01-2
011
(1)
(2)
(3)
(4)
(5)
(6)
(7)
20Jh
arkh
and
16,9
30,3
1516
,057
,819
32,9
88,1
3423
.36
22.4
2
21O
dish
a21
,212
,136
20,7
62,0
8241
,974
,218
16.2
514
.05
22C
hhat
tisga
rh12
,832
,895
12,7
12,3
0325
,545
,198
18.2
722
.61
23M
adhy
a Pr
ades
h37
,612
,306
35,0
14,5
0372
,626
,809
24.2
620
.35
24G
ujar
at
31,4
91,2
6028
,948
,432
60,4
39,6
9222
.66
19.2
8
25D
aman
& D
iu
150,
301
92,9
4624
3,24
755
.73
53.7
6
26D
adra
& N
agar
Hav
eli
193,
760
149,
949
343,
709
59.2
255
.88
27M
ahar
asht
ra58
,243
,056
54,1
31,2
7711
2,37
4,33
322
.73
15.9
9
28A
ndhr
a Pr
ades
h42
,442
,146
42,1
38,6
3184
,580
,777
14.5
910
.98
29K
arna
taka
30,9
66,6
5730
,128
,640
61,0
95,2
9717
.51
15.6
0
30G
oa73
9,14
071
9,40
51,
458,
545
15.2
18.
23
31La
ksha
dwee
p 33
,123
31,3
5064
,473
17.3
06.
30
32K
eral
a16
,027
,412
17,3
78,6
4933
,406
,061
9.43
4.91
33Ta
mil
Nad
u36
,137
,975
36,0
09,0
5572
,147
,030
11.7
215
.61
34Pu
duch
erry
61
2,51
163
5,44
21,
247,
953
20.6
228
.08
35A
ndam
an &
Nic
obar
Isla
nds
202,
871
177,
710
380,
581
26.9
06.
86
Sour
ce: R
egist
rar G
ener
al o
f In
dia.
15Socio-Economic IndicatorsTa
ble
2.3(
a):
Popu
latio
n an
d A
gric
ultu
ral W
orke
rs(I
n M
illio
n)
Year
Tota
lPo
pula
tion
Aver
age
Ann
ual E
xpon
entia
l G
row
th R
ate
(%)
Rura
lPo
pula
tion
Tota
l Wor
kers
Agr
icul
tura
l Wor
kers
Cul
tivat
ors
Agr
icul
tura
l L
abou
rers
Tota
l
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
1951
361.
11.
2529
8.6
(82.
7)13
9.5
69.9
(71.
9)27
.3(2
8.1)
97.2
(6
9.7)
1961
439.
21.
9636
0.3
(82.
0)18
8.7
99.6
(76.
0)31
.5(2
4.0)
131.
1 (6
9.5)
1971
548.
22.
20
439.
0 (8
0.1)
180.
478
.2(6
2.2)
47.5
(37.
8)12
5.7
(69.
7)
1981
683.
32.
22
525.
6(7
6.9)
244.
692
.5(6
2.5)
55.5
(37.
5)14
8.0
(60.
5)
1991
846.
42.
1663
0.6
(74.
5)31
4.1
110.
7(5
9.7)
74.6
(40.
3)18
5.3
(59.
0)
2001
1028
.71.
9774
2.6
(72.
2)40
2.2
127.
3(5
4.4)
106.
8(4
5.6)
234.
1 (5
8.2)
2011
1210
.81.
5083
3.7
(68.
9)48
1.9
118.
8(4
5.1)
144.
3(5
4.9)
263.
1(5
4.6)
Sour
ce: R
egist
rar G
ener
al o
f In
dia.
Note
s : 1
. For
200
1, fi
gure
s inc
lude
est
imat
ed fi
gure
s for
thos
e of
the
thre
e su
b-di
visio
ns v
iz. M
ao M
aram
, Pao
mat
a an
d Pu
rul o
f Se
napa
ti di
stric
t of
Man
ipur
as c
ensu
s res
ults
of
2001
Cen
sus i
n th
ese
thre
e su
b-di
visio
ns w
ere
canc
elle
d du
e to
tech
nica
l and
adm
inist
rativ
e re
ason
s.
2.
The
199
1 C
ensu
s cou
ld n
ot b
e he
ld o
win
g to
dist
urbe
d co
nditi
ons p
reva
iling
in Ja
mm
u &
Kas
hmir.
Hen
ce th
e po
pula
tion
figur
es fo
r 199
1 of
Jam
mu
& K
ashm
ir ha
ve b
een
wor
ked
out b
y 'in
terp
olat
ion'
. The
dat
a on
wor
kers
in C
ol. 5
-7 e
xclu
de J&
K.
3. T
he 1
981
cens
us c
ould
not
be
held
in A
ssam
. The
figu
res f
or 1
981
for A
ssam
hav
e be
en w
orke
d ou
t by
inte
rpol
atio
n. T
he d
ata
on w
orke
rs in
Col
. 5-7
exc
lude
Ass
am.
4.
Fig
ures
with
in p
aren
thes
es in
Col
.-4 a
re p
erce
ntag
es to
the
Tota
l Pop
ulat
ion.
5.
Fig
ures
with
in p
aren
thes
es in
Col
.-6 a
nd 7
are
per
cent
ages
to C
ol.-8
.
6.
Fig
ures
with
in p
aren
thes
es in
Col
.-8 is
per
cent
age
shar
e of
Agr
icul
tura
l Wor
kers
in T
otal
Wor
kers
.
16 Agricultural Statistics at a Glance 2017Ta
ble
2.3(
b) S
tate
wise
Cla
ssifi
catio
n of
Wor
kers
-201
1
Stat
es\U
TsTo
tal/
Urb
an/
Rura
l
Tota
l Po
pula
tion
Tota
l W
orki
ng
Popu
latio
n
Tota
l Mai
n W
orke
rsTo
tal
Mar
gina
l W
orke
rs
Tota
l Non
W
orke
rsM
ale
Popu
latio
nM
ale
Wor
king
Po
pula
tion
Mal
e M
ain
Wor
kers
Fem
ale
Popu
latio
nFe
mal
e W
orki
ng
Popu
latio
n
Fem
ale
Mai
n W
orke
rs
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
Indi
aTo
tal
1210
8549
7748
1888
868
3625
6557
111
9323
297
7289
6610
962
3270
258
3319
3987
527
3209
976
5875
8471
914
9948
993
8935
5595
Rur
al83
3748
852
3487
4309
224
5868
421
1028
7467
148
5005
760
4277
8105
822
6837
013
1780
9533
040
5967
794
1219
0607
967
7730
91U
rban
3771
0612
513
3145
776
1166
9715
016
4486
2624
3960
349
1954
8920
010
5102
862
9511
4646
1816
1692
528
0429
1421
5825
04Ja
mm
u &
Kas
hmir
Tota
l12
5413
0243
2271
326
4414
916
7856
482
1858
966
4066
231
9509
023
0578
859
0064
011
2762
333
8361
Rura
l91
0806
031
1308
116
6981
414
4326
759
9497
947
7447
722
1200
614
5315
743
3358
390
1075
2166
57
Urb
an34
3324
212
0963
297
4335
2352
9722
2361
018
6618
598
3084
8526
3115
6705
722
6548
1217
04
Him
acha
l Pra
desh
Tota
l68
6460
235
5942
220
6250
114
9692
133
0518
034
8187
320
4337
314
3898
933
8272
915
1604
962
3512
Rura
l61
7605
032
8938
418
2210
914
6727
528
8666
631
1034
518
3635
812
4787
430
6570
514
5302
657
4235
Urb
an68
8552
2700
3824
0392
2964
641
8514
3715
2820
7015
1911
1531
7024
6302
349
277
Punj
abTo
tal
2774
3338
9897
362
8450
936
1446
426
1784
5976
1463
9465
8074
157
7264
631
1310
3873
1823
205
1186
305
Rura
l17
3441
9261
7919
951
0702
410
7217
511
1649
9390
9347
649
9581
944
1783
982
5071
611
8338
068
9185
Urb
an10
3991
4637
1816
333
4391
237
4251
6680
983
5545
989
3078
338
2846
792
4853
157
6398
2549
7120
Cha
ndig
arh
Tota
l10
5545
040
4136
3859
2918
207
6513
1458
0663
3281
5931
7190
4747
8775
977
6873
9
Rura
l28
991
1235
011
683
667
1664
117
150
1066
410
356
1184
116
8613
27
Urb
an10
2645
939
1786
3742
4617
540
6346
7356
3513
3174
9530
6834
4629
4674
291
6741
2
Utta
rakh
and
Tota
l10
0862
9238
7227
528
7062
410
0165
162
1401
751
3777
325
5192
120
7076
049
4851
913
2035
479
9864
Rura
l70
3695
428
8553
319
9733
288
8201
4151
421
3519
042
1726
674
1322
523
3517
912
1158
859
6748
09
Urb
an30
4933
898
6742
8732
9211
3450
2062
596
1618
731
8252
4774
8237
1430
607
1614
9512
5055
Har
yana
Tota
l25
3514
6289
1650
870
1528
319
0122
516
4349
5413
4947
3468
0663
658
6060
011
8567
2821
0987
211
5468
3
Rura
l16
5093
5960
0311
244
3580
515
6730
710
5062
4787
7400
643
9221
436
7258
877
3535
316
1089
876
3217
Urb
an88
4210
329
1339
625
7947
833
3918
5928
707
4720
728
2414
422
2188
012
4121
375
4989
7439
1466
(Con
td.)
17Socio-Economic Indicators
Stat
es\U
TsTo
tal/
Urb
an/
Rura
l
Tota
l Po
pula
tion
Tota
l W
orki
ng
Popu
latio
n
Tota
l Mai
n W
orke
rsTo
tal
Mar
gina
l W
orke
rs
Tota
l Non
W
orke
rsM
ale
Popu
latio
nM
ale
Wor
king
Po
pula
tion
Mal
e M
ain
Wor
kers
Fem
ale
Popu
latio
nFe
mal
e W
orki
ng
Popu
latio
n
Fem
ale
Mai
n W
orke
rs
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
Del
hiTo
tal
1678
7941
5587
049
5307
329
2797
2011
2008
9289
8732
647
6202
645
6271
078
0061
582
5023
7446
19
Rura
l41
9042
1302
2711
8510
1171
728
8815
2263
2111
1500
1035
6819
2721
1872
714
942
U
rban
1636
8899
5456
822
5188
819
2680
0310
9120
7787
6100
546
5052
644
5914
276
0789
480
6296
Raja
stha
nTo
tal
6854
8437
2988
6255
2105
7968
8828
287
3866
2182
3555
0997
1829
7076
1524
3537
3299
7440
1158
9179
5814
431
Rura
l51
5003
5224
3852
3316
1733
4382
1189
027
1151
1926
6417
4713
7754
6911
0698
3724
8586
0510
6097
6451
0350
6
Urb
an17
0480
8555
0102
248
8462
561
6397
1154
7063
8909
250
4521
607
4173
700
8138
835
9794
1571
0925
Utta
r Pra
desh
Tota
l19
9812
341
6581
4715
4463
5492
2117
9223
1339
9762
610
4480
510
4984
6762
3742
0299
9533
1831
1596
7953
7215
193
Rura
l15
5317
278
5195
0980
3353
8817
1841
2163
1033
6629
880
9929
9538
3528
7927
8123
4774
3242
8313
5981
0157
2647
0
Urb
an44
4950
6313
8637
3511
0966
7527
6706
030
6313
2823
4875
1511
4938
8396
0795
221
0075
4823
6985
214
8872
3
Biha
rTo
tal
1040
9945
234
7249
8721
3596
1113
3653
7669
3744
6554
2781
5725
2221
8917
2706
9049
8212
9595
0279
840
8892
1
Rura
l92
3414
3631
3597
6718
7239
6612
6358
0160
9816
6948
0738
5022
4366
8514
9880
8044
2675
8689
2308
237
3588
6
Urb
an11
7580
1633
6522
026
3564
572
9575
8392
796
6204
307
2785
504
2282
610
5553
709
5797
1635
3035
Sikk
imTo
tal
6105
7730
8138
2303
9777
741
3024
3932
3070
1943
5816
0513
2875
0711
3780
6988
4
Rura
l45
6999
2437
8517
3682
7010
321
3214
2427
9714
8186
1190
1421
4202
9559
954
668
Urb
an15
3578
6435
356
715
7638
8922
580
273
4617
241
499
7330
518
181
1521
6
Aru
nach
al P
rade
shTo
tal
1383
727
5876
5747
8721
1089
3679
6070
7139
1235
0273
3011
0966
9815
2373
8417
7612
Rura
l10
6635
847
0315
3773
8892
927
5960
4354
6011
2647
9022
3929
5203
4720
5525
1534
59
Urb
an31
7369
1173
4210
1333
1600
920
0027
1679
0185
483
7718
014
9468
3185
924
153
Nag
alan
dTo
tal
1978
502
9741
2274
1179
2329
4310
0438
010
2464
954
7357
4422
0495
3853
4267
6529
8975
Rura
l14
0753
676
0360
5676
7419
2686
6471
7672
5472
4039
1231
6384
6820
6435
6448
2512
90
Urb
an57
0966
2137
6217
3505
4025
735
7204
2991
7714
3445
1258
2027
1789
7031
747
685
(Con
td.)
18 Agricultural Statistics at a Glance 2017
Stat
es\U
TsTo
tal/
Urb
an/
Rura
l
Tota
l Po
pula
tion
Tota
l W
orki
ng
Popu
latio
n
Tota
l Mai
n W
orke
rsTo
tal
Mar
gina
l W
orke
rs
Tota
l Non
W
orke
rsM
ale
Popu
latio
nM
ale
Wor
king
Po
pula
tion
Mal
e M
ain
Wor
kers
Fem
ale
Popu
latio
nFe
mal
e W
orki
ng
Popu
latio
n
Fem
ale
Mai
n W
orke
rs
(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
Man
ipur
Tota
l28
5579
413
0461
097
4163
3304
4715
5118
414
3858
673
9408
6151
3514
1720
856
5202
3590
28Ru
ral
2021
640
9591
6171
3482
2456
7910
6247
910
2688
453
4085
4424
8299
4756
4250
7627
1000
Urb
an83
4154
3454
4926
0681
8476
848
8705
4117
0220
5323
1726
5342
2452
1401
2688
028
Miz
oram
Tota
l10
9720
648
6705
4150
3071
675
6105
0155
5339
2907
4026
3305
5418
6719
5965
1517
25Ru
ral
5254
3525
2382
2178
2434
558
2730
5326
9135
1450
9113
4888
2563
0010
7291
8293
6U
rban
5717
7123
4323
1972
0637
117
3374
4828
6204
1456
4912
8417
2855
6788
674
6878
9Tr
ipur
aTo
tal
3673
917
1469
521
1077
019
3925
0222
0439
618
7437
610
4532
688
7881
1799
541
4241
9518
9138
Rura
l27
1246
411
1607
677
6583
3394
9315
9638
813
8717
376
7767
6370
2313
2529
134
8309
1395
60U
rban
9614
5335
3445
3004
3653
009
6080
0848
7203
2775
5925
0858
4742
5075
886
4957
8M
egha
laya
Tota
l29
6688
911
8561
992
1575
2640
4417
8127
014
9183
270
3709
5855
2014
7505
748
1910
3360
55Ru
ral
2371
439
9734
5873
0959
2424
9913
9798
111
9426
056
1812
4554
3011
7717
941
1646
2755
29
Urb
an59
5450
2121
6119
0616
2154
538
3289
2975
7214
1897
1300
9029
7878
7026
460
526
Ass
amTo
tal
3120
5576
1196
9690
8687
123
3282
567
1923
5886
1593
9443
8541
560
7034
642
1526
6133
3428
130
1652
481
Rura
l26
8070
3410
3682
8373
1101
530
5726
816
4387
5113
6789
8972
5785
258
8017
413
1280
4531
1043
114
3084
1U
rban
4398
542
1601
407
1376
108
2252
9927
9713
522
6045
412
8370
811
5446
821
3808
831
7699
2216
40W
est B
enga
lTo
tal
9127
6115
3475
6355
2568
6630
9069
725
5651
9760
4680
9027
2671
6047
2167
8279
4446
7088
8040
308
4008
351
Rura
l62
1831
1324
0824
8116
4894
8575
9299
638
1006
3231
8449
4518
2111
8014
0199
1530
3381
6858
7130
124
6957
0U
rban
2909
3002
1067
3874
9197
145
1476
729
1841
9128
1496
4082
8504
867
7658
364
1412
8920
2169
007
1538
781
Jhar
khan
dTo
tal
3298
8134
1309
8274
6818
595
6279
679
1988
9860
1693
0315
8424
769
5234
442
1605
7819
4673
505
1584
153
Rura
l25
0550
7310
7771
5248
8684
058
9031
214
2779
2112
7764
8664
8414
235
6342
212
2785
8742
9301
013
2341
8U
rban
7933
061
2321
122
1931
755
3893
6756
1193
941
5382
919
4062
716
7102
037
7923
238
0495
2607
35
(Con
td.)
19Socio-Economic Indicators
Stat
es\U
TsTo