THE UGANDA NATIONAL HOUSEHOLD SURVEY

2016/17

UNHS

2016/20171

PART I

Background to the study

Education

Health

Labour and labour force characteristics

Incomes, savings, assets

Household enterprises

Housing and household characteristics

Consumption expenditure and poverty estimates

UNHS

2016/20172

The 2016/17 UNHS

The 2016/17 UNHS is the 6th in a series of

consumption Surveys conducted by UBOS.

First 1999/2000

Second 2002/2003

Third 2005/2006

Fourth 2009/2010

Fifth 2012/2013

Sixth 2016/2017

UNHS

2016/20173

2016/17 UNHS OBJECTIVE

To provide quality and timely

information for monitoring

national and international

development frame work.

UNHS

2016/20174

5

2016/2017 UNHSThe 2016/2017 UNHS was implemented by the Uganda

Bureau of Statistics (UBOS).

Fully Funded by GOU

Technical support from World Bank and UNICEF

UNHS

2016/2017

Sampling Design

The UNHS is nationally representative.

It was designed to provide estimates for the

whole country, for urban and rural areas, 15

sub-regions, PRDP Districts and Mountainous

areas

UNHS

2016/20176

Sampling Design(cont’d)

The sample frame for the 2016/17 UNHS was the 2014 listof Enumeration Areas from the National Popn. & HousingCensus (NPHC).

The survey used a two-stage sampling design;

At the first stage: 1750 Enumeration areas were selected

18 EAs were not covered

Second stage: 10 households were randomly selected ineach EA (17320)

The 2016/2017 UNHS sample size more thandoubled the 2012/2013 sample ( 6887households)

UNHS

2016/20177

why the 15 sub regions?

MAP OF THE 15 SUB

REGIONS

• The sample is

representative for the 15

sub-regions.

• In previous UNHS

surveys, estimates were

at 10 sub-regions

• Also the design allows

generation of specific

estimates for some

districts like Wakiso,

Kasese, Kampala

• The increase in the

sample was intended to

generate precise

indicators at lower levels.

8UNHS

2016/2017

UNHS

2016/20179

Distribution of 2016/2017 UNHS

sampled households

Peace and Recovery Development Plan (PRDP) and Mountainous Districts

Category Districts

Severely

affected

districts:

Adjumani, Gulu, Kitgum, Kotido, Moroto, Nakapiripirit,

Pader, Abim, Amuru, Kaabong, Oyam, Agago, Amudat,

Lamwo, Napak, Nwoya, and Otuke.

Sporadically

affected

districts:

Katakwi, Kaberamaido. Amuria, Apac, Arua, Lira, Moyo,

Nebbi, Yumbe, Amolator, Dokolo, Koboko, Alebtong, Kole,

Zombo, Maracha, Masindi, and Kiryandongo

Spillover

districts:

Busia, Kapchorwa, Kumi, Mbale,Pallisa, Soroti, Tororo,

Sironko, Budaka, Bududa, Bukedea, Bukwo, Butaleja,

Manafwa, Bulambuli, Kibuku, Kween, Ngora, Serere,

Bulisa

Mountainous

Areas:

Bukwo, Bulambuli, Bundibugyo, Kaabong, Kapchorwa,

Kasese, Kisoro, Kween, Mbale, Ntoroko, and Sironko.

UNHS

2016/201710

11

I. Stakeholders

consultation

(May 2016)

3. Training

field staff (June 2016)

4. Data collection (July2016-June 2017)

5. Data Processing-

CAPI

6. Report writing, Dissemination and Archiving

2. Pretest

The 2016/17 UNHS Survey Process

UNHS

2016/2017

UNHS Modules: Socio economic, Community,

Market survey

12

Individual level questions

Age , sex, marital, migration

Education: schooling status, literacy, expenditure, type of school, means of transport

Health status: incidence of illness/injury, Majorsymptoms, health insurance, expenditure onhealth, consultation, substance abuse etc.

Incomes: access to loans, source of income,financial decision making, savings andinvestments.

Labour force: activity status, employment, hoursof work, income from employment, care labouractivities, occupation and sector

UNHS

2016/2017

UNHS Modules: cont’d

13

Household level Questions•Housing and Household characteristics: occupancy

tenure, type of dwelling, type of building materials,

sources of water, type of latrine etc

•Consumption expenditure

•Household assets

•Household enterprises

•Property and other incomes

•Welfare indicators, consensual module and

subjective poverty

Market survey: prices and unit of quantity

Community: Availability of services (Health,

education, roads, markets etc), satisfaction with the

ic lit

UNHS

2016/2017

Data quality Control

Use of Computer Assisted Personal Interviews

with built in checks

Field supervision by office staff

Standardization of questions

Send data in real time for office reviewers and

approval

Office editing and checking of data consistencies

External review by EPRC

UNHS

2016/201714

Response Rate

Interview Results Rural Urban Total

Completed (C) 10,584 5,088 15,672

Partially Done (PD) 14 32 46

No household member at home (NC) 18 27 45

Entire household absent (TA) 34 18 52

Refused (R) 763 650 1413

Dwelling vacant, demolished or not found

22 24 46

Other reasons 15 31 46

Household s selected 11,450 5,870 17,320

Response Rate 92.7% 87.5% 91.0%UNHS

2016/201715

2016/2017 UNHS

Key Findings

UNHS

2016/201716

Population characteristics

UNHS

2016/201717

Population

Sex ratio

Average Household size

18

37.7 million people

94.8 males per 100 females

4.7

UNHS

2016/2017

Average Household Size

Av. HH size highest in the

Teso sub-region (6.1)

UNHS

2016/201719

Population Pyramid

UNHS

2016/201720

Proportion that migrated by sex and age (%)

21UNHS

2016/2017

Main Reasons for Migration

UNHS

2016/201722

Major Economic reasons for Migration

Land Income

23UNHS

2016/2017

Education

UNHS

2016/201724

Net primary school enrollment

77 79 78

85 86 8579 80 80

0

10

20

30

40

50

60

70

80

90

100

Male Female Total

Rural Urban Uganda

UNHS

2016/201725

Net primary school enrollment

UNHS

2016/201726

Overall Primary Net Enrollment

UNHS

2016/201727

Primary Net Enrollment: Male Female

28UNHS

2016/2017

Trend in Net primary school enrollment ratio

UNHS 2016/2017 29

Primary School Accessibility: Government 5km Above

UNHS

2016/201730

Net secondary school enrollment

UNHS

2016/201731

Over all Secondary Net Enrollment

UNHS

2016/201732

Secondary Net Enrollment

Male Female

33UNHS

2016/2017

Secondary School Accessibility: Government 5km Above

UNHS

2016/201734

Literacy rate for persons 10 years and above (%) Literacy

increased by 4%

UNHS

2016/201735

Literacy Rate

2016/2017 2012/2013

UNHS

2016/201736

Literacy Rate: Female

2016/2017 2012/2013

UNHS

2016/201737

Literacy rate for persons 18 years and above (%)

UNHS

2016/201738

Proportion travelling 5km or more

to access Primary education (%)

UNHS

2016/201739

Proportion travelling 5km or more for

access secondary education (%)

UNHS

2016/201740

Proportion travelling 5 km or more for Technical

/vocational and Functional Adult education (%)

UNHS

2016/201741

Health

UNHS

2016/201742

Proportion that was ill or injured by residence (%)

UNHS

2016/201743

Major symptoms of illness/injury reported (%)

UNHS

2016/201744

Major symptoms of illness/injuryMalaria Fever Respiratory Infection

45UNHS

2016/2017

Distance travelled to health facility (%)

UNHS

2016/201746

Major Non-Communicable

diseases (%)

UNHS

2016/201747

Non Communicable Diseases:

Diabetes

UNHS

2016/201748

Non Communicable Diseases: High Blood Pressure

UNHS

2016/201749

Non Communicable Diseases: Heart Disease

UNHS

2016/201750

Substance use (%)For persons 16 years and above

UNHS

2016/201751

Substance Use: Alcohol

Most predominant

in the Karamojasub region

UNHS

2016/201752

Substance Use: Tobacco and Related Products

Most predominant

in the Karamojasub region

UNHS

2016/201753

Health Insurance (%)

UNHS

2016/201754

Hand washing facility (water and soap)

55UNHS

2016/2017

Overall 6.2 % of

Households had Hand washing facility

(water and soap)

Labour Force Characteristics

UNHS

2016/201756

Flow chart of the working age population (14-64 years)

Working age population

(19million)

Working population(15million)

79%

Employed(9million) 60%

Subsistence only(6million) 40%

Not working population

(4million) 21%

Unemployed

0.9million

Outside the labour force 3.1 million

UNHS

2016/201757

Labour force participation rate by

Background variables

55.2

64.9

59.4

54.2

65.5

57.4

72.6

86.7

54.8

74.5

59.8

45.7

59.8

43.3 43.9

55.4 54.2

67.2

82.9

46.3

68.0

52.3

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

90.0

100.0

Fem

ale

Ma

le

No

fo

rma

l ed

uc

ati

on

So

me p

rim

ary

Co

mp

lete

d p

rim

ary

So

me s

eco

nd

ary

Co

mp

lete

d s

ec

on

dary

Po

st

sec

on

dary

plu

s

Ru

ral

Urb

an

Ug

an

da

Sex Highest educational attainment Rural/urban

2012/13

2016/2017

UNHS

2016/201758

Proportions of persons engaged in subsistence agriculture:

only by back ground variables

41.8

31.2

36.4

42.6

31.8

39.4

21.4

9.1

42.5

16.8

36.6

47.3

31.4

51.949.3

36.533.3

22.5

8.1

47.3

14.9

39.5

0.0

10.0

20.0

30.0

40.0

50.0

60.0

Female Male No formaleducation

Someprimary

Completedprimary

Somesecondary

Completedsecondary

Postsecondary

plus

Rural Urban Uganda

Sex Highest educational attainment Rural/urban

2012/13 2016/2017UNHS

2016/201759

Unemployment rate:by background variables

14.2

8.1

5.5

10.9

5.8

18.9

13.0

11.8

8.6

16.3

11.1

13.1

5.8

9.6

7.17.4

11.0

13.0

11.0

6.2

14.4

9.2

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

20.0

Female Male No formaleducation

Someprimary

Completedprimary

Somesecondary

Completedsecondary

Postsecondary

plus

Rural Urban Uganda

Sex Highest educational attainment Rural/urban

2012/13 2016/2017

UNHS

2016/201760

Status in employment by Sex of the

employed persons(%)

13.2

36.229

22.4

19.3

9.8 20

5.9

58.7

49.3 46

60.5

8.8 4.7 511.2

0.0

20.0

40.0

60.0

80.0

100.0

120.0

2012/2013 2016/2017 2012/2013 2016/2017

Female Male

Contributing family workers

Self employed

Paid employee_casual lbourer in agric

Paid employee_not casual labourer in agricUNHS

2016/201761

INFORMATION &

COMMUNICATION TECHNOLOGY

UNHS

2016/201762

Ownership of ICT Equipment

MOBILE PHONE

RADIO

TELEVISION

COMPUTER/LAPTOP

68

32

10

3

5

13

7

27

55

83

97

Individually jointly No

UNHS

2016/201763

Use of Computers

0102030405060708090

100

No Yes Desktop Laptop(portable)computer

Tablet/similar

handheldcomputer

Used a computer in thwlast 3 months

Type of computer device used

96

4

56

36

8

UNHS

2016/201764

Use of Internet

2 4 5

11 12

16

52

6

94

Other Onlinegaming

Healthrelated

information

Telephoning Business Academicwork

SocialNetwork

Yes No

Services used Use the internetUNHS

2016/201765

Use of Postal Services

24

51

7

7

11

0.3

99.7

Don’t know

More than 8

5 to <8km

3 to <5 kms

0 to <3kms

Yes

NoD

ista

nce in

kilo

mete

rs is t

he n

eare

st

po

sta

l serv

ice

po

int

to t

he h

ou

seh

old

Has

an

ym

em

ber

of

this

ho

us

eh

old

used

po

sta

l th

e last

30 d

ays

Less than 0.5% of HHs use postal services

UNHS

2016/201766

Challenges in using postal services

Nonexistence of postal

32%

Very far from our household

29%

Unreliable21%

Expensive18%

Nonexistence of postal Very far from our householdUnreliable Expensive

UNHS

2016/201767

HOUSING AND HOUSEHOLD

CHARACTERISTICS

UNHS

2016/201768

Type of water source

68

87

68

75

92

80

32

13

32

25

8

20

Rural

Urban

Uganda

Rural

Urban

Uganda

20

12

/13

201

6/1

7

Improved Unimproved

UNHS

2016/201769

Major type of wall

66

69

61

81

67

29

26

35

10

28

6

6

4

9

6

Male

Female

Rural

Urban

Uganda

Sex

of

Ho

us

eh

old

Hea

dR

esid

en

ce

Bricks Mud & Poles Other

UNHS

2016/201770

Major type of roof

24

24

31

6

24

1

1

0

2

1

Male

Female

Rural

Urban

Uganda

Sex o

f H

ou

seh

old

Hea

dR

es

iden

ce

Iron Sheets Thatched Other

UNHS

2016/201771

Major type of floor

72

0

10

20

30

40

50

60

70

80

Male Female Rural Urban Uganda

Sex of household head Residence

59.356.9

73.1

21.5

58.6

36.639.2

24.6

70.1

37.4

4.1 3.8 2.3

8.44

Earth Cement Other

UNHS

2016/2017

Main fuel used for lighting

34

68

21

26

14

11

6

57

9 10

6

1

28

6

22

18

21

3 3

Tadooba Lantern Grid Electricity Solar Dry Cells/Batteries

Candles Others

Rural Urban Uganda

UNHS

2016/201773

Use of grid Electricity by year of

survey

2012/2013 2016/2017

74UNHS

2016/2017

Use of Dry cells and bulbs for lighting,

sub-region

75UNHS

2016/2017

Main fuel used for cooking

76

0

10

20

30

40

50

60

70

80

90

Firewood Charcoal Other* Firewood Charcoal Other*

2012/13 2016/17

89.4

8.1

2.4

80.8

15.5

3.7

37

54

8.9

22.3

66.4

11.3

75.7

20.2

4.1

64.4

29.8

5.8

Rural Urban UgandaUNHS

2016/2017

Proportion of Households using wood fuel for

cooking, survey year

77

2012/20132016/2017

UNHS

2016/2017

COMMUNITY CHARATERISTICS

UNHS

2016/201778

Availability of police posts in the community

Rural

Urban

Uganda

7

26

12

13

27

17

2012/13 2016/17

UNHS

2016/201779

Quality of district roads

22

42 37

13

4838

19

51

30

22

48

3021

44

35

15

48

36

Good Average Poor Good Average Poor

2012/13 2016/17

Rural Urban Uganda

UNHS

2016/201780

Summary of Findings

The estimated population of this survey is

37.7 million

Sex ration is 94.8

Average household size is 4.7 persons

People migrate mainly for income

reasons

81UNHS

2016/2017

Summary of Findings

The Literacy rate has increased from 70% to74% .

There are still gender disparities in literacy

with the males having a higher rate than

females.

Net primary school enrollment has been

consistently declining over the years.

UNHS

2016/201782

17% of the 16years + consume alcohol

Proportions of persons engaged in only

subsistence agriculture is increasing

Increasing number of households using

torch/dry cells for lighting

Over 90% of the households use wood fuel

for Cooking83

Summary of Findings

UNHS

2016/2017

PART II

Household enterprises

Income and savings

Household expenditure and poverty

Preliminary explanations for the observedtrends

Deprivation of essential items

Key findings

84UNHS

2016/2017

HOUSEHOLD ENTERPRISES

UNHS

2016/201785

With at least one household

member operating a business

35

47

38

35

38

0

5

10

15

20

25

30

35

40

45

50

Rural Urban Male Female Total86UNHS

2016/2017

Location of household enterprises

16

15

1

12

3

9

20

26

Inside Home Residence

Outside Home Residence

Industrial Site

Traditional Market

Commercial District Shop

Roadside

Mobile

Other Fixed Place

UNHS

2016/201787

Source of funding

77.8

13

1.9 1.1 1 0.64.6

Own/HouseholdsSavings

Did not NeedAny Money

Local Commercial/Development

Bank

SACCOs Micro Financedeposit taking

institutions

Other sources

UNHS

2016/201788

Factors affecting business expansion

26

22

12

5

5

4

4

3

3

2

2

2

1

1

8

Lack of finance

Lack of demand for…

Lack of inputs

High tax rates

Poor quality roads

Lack of market information

Lack of time to work on the…

Legal/ regulations

The business is the desired size

Cost of hiring new employees

Economic policy and uncertainty

High crime rate

Lack of trained employees

Poor quality electricity and…

Others

UNHS

2016/201789

INCOME SOURCES AND ACCESS TO FINANCIAL

SERVICES

UNHS

2016/201790

Source of Earnings for HHs

SubsistanceFarming Wage Employ

ment Non-AgricEnterprises Remittances

Other

54

20

16

6

4

14

40

31

9

6

43

25

20

7

5

Rural Urban Uganda

UNHS

2016/201791

Main Source of Earning: Subsistence Farming2016/2017 2012/2013

UNHS

2016/201792

Main Source of Earning: Non Agricultural Enterprise

2016/2017 2012/2013

UNHS

2016/201793

Saving Mechanisms

Commercial bank

SACCO

Home/secret place

VSLA

Mobile money

ROSCA /merry-go-round

Other

Not saving

Fo

rmal

Info

rmal

5

3

36

18

8

5

6

8

17

4

26

10

15

7

7

8

8

3

33

16

10

5

6

8

Rural Urban Uganda

33% of HHs save money in secret locations

UNHS

2016/201794

Saving Mechanism: Formal Commercial Bank

UNHS

2016/201795

Saving Mechanism: SACCO

UNHS

2016/201796

Saving Mechanism: Home/secret place

UNHS

2016/201797

Saving mechanism: Village Savings and Loan Assoc(VSLA)

UNHS

2016/201798

Saving mechanism:

Mobile Money

UNHS

2016/201799

Saving Mechanism: Rotating Savings and

Credit Assoc. (ROSCA)

UNHS

2016/2017100

Borrowed money or goods

24

14

9

21

11

7

23

13

9

Borrowed/Got Money

Borrowed /got goods on credit

Borrowed both money & goods

Rural Urban Uganda

UNHS

2016/2017101

Type of Credit Taken

Personal loan

Other*

Goods obtained on credit

Money owed to friends (Non-family

Money owed to money lenders

Services obtained on credit

Money owed family members

Other**

Fo

rma

lIn

form

al

32

1

26

22

8

5

3

4

35

1

23

23

6

5

5

4

Rural Urban Uganda

UNHS

2016/2017102

Credit Source: Formal Commercial Bank

UNHS

2016/2017103

Credit Source: Formal Credit Institution

UNHS

2016/2017104

Credit Source: Formal MDI/MFI

UNHS

2016/2017105

Credit Source: Formal SACCOs

UNHS

2016/2017106

Credit Source: VSLA

UNHS

2016/2017107

Credit Source: Informal ROSCA

UNHS

2016/2017108

Knowledge and use of mobile money

Know About MobileMoney Knowledgeable and

registered MobileMoney User Currently Using

Another Person’s Mobile Money Account

70

50

22

89

75

26

75

59

23

Rural Urban Uganda

UNHS

2016/2017109

Consumption expenditure and poverty

UNHS

2016/2017110

Introduction

Household expenditure includes consumptionexpenditure and non-consumption expenditureδ Consumption expenditure such as expenses on food,

beverages & tobacco (7 days-recall period); non-durable &frequently purchased services (30 days-recall period);semi-durable and durables (365 days-recall period)

δ Non-consumption expenditures such as taxes,contribution to funeral etc (365 days-recall period)

Further adjustments were made in the constructionof the consumption aggregate used in the estimationof poverty estimates & details included in the Socio-economic report

111UNHS

2016/2017

Introduction

Improvement in the consumption itemsδ Consumption expenditure such as expenses on food,

beverages & tobacco (7 days-recall period); non-durable &frequently purchased services (30 days-recall period);semi-durable and durables (365 days-recall period)

δ Non-consumption expenditures such as taxes,contribution to funeral etc (365 days-recall period)

Further adjustments were made in the constructionof the consumption aggregate used in the estimationof poverty estimates & details included in the Socio-economic report

112UNHS

2016/2017

Introduction (contd.)

All expenditures are converted to 30 days

Consumption aggregate (welfare measure) used inpoverty analysis captures ONLY consumptionexpendituresδ Household consumption expenditure used as a proxy for

household income

Methodological approach similar to that used in theprevious poverty analysisδ Welfare proxy – consumption expenditure per adult

equivalent; and official absolute poverty line derived byAppleton

δ Both welfare measure and poverty line expressed in2009/2010 prices

113UNHS

2016/2017

Household expenditures: SharesItem grouping by COICOP 2012/2013 2016/2017

Urban Rural Total Urban Rural Total

Food and non-alcoholic beverages 36 49 46 36 48 43

Alcohol beverages, Tobacco and

Narcotics 1 1 2 1 1 1

Clothing and Foot wear 3 2 3 3 2 2

Housing, Water, Electricity, Gas and

other fuels 22 17 15 21 16 18

Furnishing, Household equipments 3 4 4 3 4 3

Health 3 4 4 3 6 5

Transport 8 7 7 8 7 7

Communication 4 2 3 4 2 3

Recreation and culture 1 1 2 1 1 1

Education 8 6 5 9 6 7

Restaurants and Hotels 1 0 1 1 0 0

Miscellaneous goods and services 4 4 3 4 3 4

Non-consumption expenditures 6 3 6 6 3 4

100 100 100 100 100 100114UNHS

2016/2017

Household expenditures on food , education and health by sub-region

31.435.4

42.3

51.554.2

50.6 49.4 50.5

38.9

49.1

57.6

45.4 44.4 44.6 45.7

8.5

9

7.2

6.94.1

8.25.4 3.8

7.4

6.4

4

6.45.8

8.3 8.5

2.9

4.1

5.6

4.7 4.9 3.17.6

3.2

5.2

5.6

3.7

4.6 7.74.9 3.1

0

10

20

30

40

50

60

70

Food and non-alcoholic beverages Education Health

115UNHS

2016/2017

Poverty trends, 2009-2017

How many people are poor or how bad is the poverty

problem in Uganda?

116UNHS

2016/2017

Prop of poor persons, 1999-2017

33.8

10

4.3

37.7

11.3

4.8

31.1

8.8

3.5

24.5

6.8

2.8

19.7

5.2

2

27

6.8

2.5

0

5

10

15

20

25

30

35

40

Poverty head count Poverty gap Poverty severity

1999/2000 2002/2003 2005/2006 2009/ 2010 2012/2013 2016/2017

117UNHS

2016/2017

Poverty trends (contd.)

0.0

2.0

4.0

6.0

8.0

10.0

12.0

National Rural Urban

8.47.9

0.6

7.57.1

0.1

6.76.0

0.7

10.1

8.7

1.4

mil

l. p

erso

ns

2005/06 2009/2010 2012/2013 2016/2017118

Absolute numbers of persons living in poverty, (mill)

UNHS 2016/2017

Poverty Estimates

UNHS

2016/2017119

Poverty Gap

UNHS

2016/2017120

Income inequality trends : Income

inequality by region, 2009-2017

0.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.50

Central Eastern Northern Western

0.45

0.32

0.37 0.380.39

0.32

0.38

0.330.38

0.300.35 0.35

Gini Co-

efficient.

2009/10 2012/13 2016/17

121UNHS

2016/2017

Preliminary explanations for recent trends

What do we make out of the

analysis so far?

122UNHS

2016/2017

Consumer Price Index between 2012/13 and 2016/2017 surveys

100.00

120.00

140.00

160.00

180.00

200.00

Headline Index FOOD NON - FOOD 123UNHS

2016/2017

Annualized percentage change in

private consumption 2009-2017

4.4%

5.2%

1.9%

-1.4%

1.0%

3.4%

-1.0%

-2.0%

-0.8%

-3.0%

-2.0%

-1.0%

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

2009 2010 2011 2012 2013 2014 2015 2016 2017

124UNHS

2016/2017

The worsening situation of Crop Farmers

Among households headed by subsistencefarmers, the percentage poor increased from20.3%% to 38.2% between 2012/13 and2016/17 surveys.

Moreover, Poverty increased from 23% to36% among those reporting cropfarming/subsistence farming as their mainsource of income

125UNHS

2016/2017

Community perception on why the worsening situation

0 10 20 30 40 50 60 70 80 90

Displacement related developmentactivities

Power Outages

Floods

Human Epidemic

storm

Livestock diseases

Crop diseases/ pests

Sharp changes in prices

Drought

Uganda Urban Rural 126

Less than 2% of

the agric hhs in

2015/16 UNPS

used irrigation

UNHS

2016/2017

Deprivation of Essential Items-

children

UNHS

2016/2017127

Proportion of children deprived of “Three meals per day” because they cannot afford it

(%)

UNHS

2016/2017128

Proportion of children deprived of “Own room for children over 10 years of different sexes” because they

cannot afford it (%)

UNHS

2016/2017129

Proportion of children deprived of “school fees, uniform and scholastic materials ” because they

cannot afford it (%)

UNHS

2016/2017130

Proportion of children deprived of “Two sets of clothing ” because they cannot afford it (%)

UNHS

2016/2017131

Proportion of children deprived of “A visit to a health facility when ill” because they cannot afford it (%)

UNHS

2016/2017132

Conclusions

Incidence of income poverty increases

No notable growth in mean consumption expenditure per adultequivalent observed between 2012/13 UNHS & 2016/17 UNHS,especially for rural areas

Increase in poverty more pronounced in Karamoja, Bukedi andBusoga sub regions.

Overall, decline in the livings standards and reduction in thedistribution of income observed between the two most recentnational household surveys

UNHS

2016/2017133