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UGA_2018_RHCS_v01_M Study Documentation November 3, 2021

UGA 2018 RHCS v01 M

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Page 1: UGA 2018 RHCS v01 M

UGA_2018_RHCS_v01_M

Study Documentation

November 3, 2021

Page 2: UGA 2018 RHCS v01 M

Metadata Production

Metadata Producer(s)

Production Date

Version

Identification DDI_UGA_2018_RHCS_v01_M_WB

Page 3: UGA 2018 RHCS v01 M

Table of Contents

UGA_2018_RHCS_v01_M......................................................................................... 7Identification.......................................................................................................... 7Version................................................................................................................... 7Overview................................................................................................................ 7Scope..................................................................................................................... 7Coverage................................................................................................................ 8Producers and Sponsors......................................................................................... 8Sampling................................................................................................................ 8Data Collection...................................................................................................... 9Survey Instrument.................................................................................................. 9Depositor Information........................................................................................... 9Data Access........................................................................................................... 9Disclaimer and Copyright...................................................................................... 9Contacts................................................................................................................. 9

Files Description.......................................................................................................... 10agsec_1.................................................................................................................. 10agsec_2.................................................................................................................. 10agsec_3.................................................................................................................. 10agsec_4.................................................................................................................. 10csec1...................................................................................................................... 10csec1c..................................................................................................................... 10csec2a..................................................................................................................... 10csec2d.................................................................................................................... 11csec3a..................................................................................................................... 11csec3b.................................................................................................................... 11csec3d.................................................................................................................... 11csec3f..................................................................................................................... 11csec4...................................................................................................................... 11csec4c..................................................................................................................... 11csec4m................................................................................................................... 12csec9...................................................................................................................... 12cseccg..................................................................................................................... 12cseclp..................................................................................................................... 12csecn...................................................................................................................... 12csecsf..................................................................................................................... 12csecsf2................................................................................................................... 12hsec_bi................................................................................................................... 13hsec_hp.................................................................................................................. 13hsec_hs................................................................................................................... 13hsec_hs_a............................................................................................................... 13hsec_sf................................................................................................................... 13hsec_wf.................................................................................................................. 13hsec1...................................................................................................................... 13hsec2a.................................................................................................................... 14hsec2b.................................................................................................................... 14hsec2c.................................................................................................................... 14

Page 4: UGA 2018 RHCS v01 M

hsec4...................................................................................................................... 14hsec5...................................................................................................................... 14hsec7a.................................................................................................................... 14hsec7b.................................................................................................................... 14hsec8...................................................................................................................... 15hsec9...................................................................................................................... 15hsec10.................................................................................................................... 15hsec11.................................................................................................................... 15hsec13a.................................................................................................................. 15hsec13b.................................................................................................................. 15hsec15a.................................................................................................................. 15hsec15b.................................................................................................................. 16hsec15c.................................................................................................................. 16hsec15d.................................................................................................................. 16hsec15e.................................................................................................................. 16hsec22.................................................................................................................... 16hsec22a.................................................................................................................. 16pov_2018_share..................................................................................................... 16weights................................................................................................................... 17

Variable List................................................................................................................. 18File agsec_1........................................................................................................... 18File agsec_2........................................................................................................... 20File agsec_3........................................................................................................... 21File agsec_4........................................................................................................... 22File csec1............................................................................................................... 22File csec1c............................................................................................................. 22File csec2a............................................................................................................. 23File csec2d............................................................................................................. 23File csec3a............................................................................................................. 24File csec3b............................................................................................................. 24File csec3d............................................................................................................. 24File csec3f.............................................................................................................. 25File csec4............................................................................................................... 26File csec4c............................................................................................................. 26File csec4m............................................................................................................ 26File csec9............................................................................................................... 27File cseccg............................................................................................................. 28File cseclp.............................................................................................................. 28File csecn............................................................................................................... 29File csecsf.............................................................................................................. 29File csecsf2............................................................................................................ 31File hsec_bi............................................................................................................ 32File hsec_hp........................................................................................................... 33File hsec_hs........................................................................................................... 34File hsec_hs_a........................................................................................................ 34File hsec_sf............................................................................................................ 35File hsec_wf........................................................................................................... 36File hsec1............................................................................................................... 37File hsec2a............................................................................................................. 38

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Page 5: UGA 2018 RHCS v01 M

File hsec2b............................................................................................................. 38File hsec2c............................................................................................................. 39File hsec4............................................................................................................... 40File hsec5............................................................................................................... 41File hsec7a............................................................................................................. 43File hsec7b............................................................................................................. 46File hsec8............................................................................................................... 47File hsec9............................................................................................................... 49File hsec10............................................................................................................. 51File hsec11............................................................................................................. 51File hsec13a........................................................................................................... 52File hsec13b........................................................................................................... 52File hsec15a........................................................................................................... 53File hsec15b........................................................................................................... 54File hsec15c........................................................................................................... 55File hsec15d........................................................................................................... 55File hsec15e........................................................................................................... 56File hsec22............................................................................................................. 56File hsec22a........................................................................................................... 56File pov_2018_share.............................................................................................. 57File weights........................................................................................................... 57

Variable Description..................................................................................................... 59File agsec_1........................................................................................................... 59File agsec_2........................................................................................................... 72File agsec_3........................................................................................................... 80File agsec_4........................................................................................................... 84File csec1............................................................................................................... 86File csec1c............................................................................................................. 87File csec2a............................................................................................................. 89File csec2d............................................................................................................. 92File csec3a............................................................................................................. 94File csec3b............................................................................................................. 97File csec3d............................................................................................................. 101File csec3f.............................................................................................................. 105File csec4............................................................................................................... 109File csec4c............................................................................................................. 112File csec4m............................................................................................................ 114File csec9............................................................................................................... 118File cseccg............................................................................................................. 123File cseclp.............................................................................................................. 123File csecn............................................................................................................... 127File csecsf.............................................................................................................. 132File csecsf2............................................................................................................ 142File hsec_bi............................................................................................................ 148File hsec_hp........................................................................................................... 154File hsec_hs........................................................................................................... 160File hsec_hs_a........................................................................................................ 162File hsec_sf............................................................................................................ 166File hsec_wf........................................................................................................... 171

-5-

Page 6: UGA 2018 RHCS v01 M

File hsec1............................................................................................................... 179File hsec2a............................................................................................................. 185File hsec2b............................................................................................................. 193File hsec2c............................................................................................................. 202File hsec4............................................................................................................... 208File hsec5............................................................................................................... 216File hsec7a............................................................................................................. 229File hsec7b............................................................................................................. 249File hsec8............................................................................................................... 255File hsec9............................................................................................................... 296File hsec10............................................................................................................. 313File hsec11............................................................................................................. 319File hsec13a........................................................................................................... 321File hsec13b........................................................................................................... 323File hsec15a........................................................................................................... 336File hsec15b........................................................................................................... 338File hsec15c........................................................................................................... 350File hsec15d........................................................................................................... 356File hsec15e........................................................................................................... 361File hsec22............................................................................................................. 363File hsec22a........................................................................................................... 368File pov_2018_share.............................................................................................. 376File weights........................................................................................................... 378

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Page 7: UGA 2018 RHCS v01 M

UGA_2018_RHCS_v01_M

Identification

Survey title Refugee and Host Communities Household Survey 2018

Abbreviation or Acronym

RHCS 2018

Study ID UGA_2018_RHCS_v01_M

Study type Income/Expenditure/Household Survey [hh/ies]

Version

Version Version 01: Edited, anonymized dataset for public distribution.

Overview

Abstract Uganda’s legal and policy framework regarding refugees is one of the most progressive of the world and is often referred as a model to follow. However, the recent refugee influx that doubled the number of refugees in the country in less than three years represents a challenge for the institutions, programs and mechanisms in place. The recent arrivals have put additional pressure on the public services delivery system, and to some central elements of the response approach, such as land availability for refugee use. The influx is also aggravated by the fact that refugee hosting areas were already vulnerable due to underlying poverty, limited resilience to shocks, limited capacity of local institutions, and low levels of human capital. Without the adequate response, the prolonged and steady refugee influx represents a challenge for the sustainability of Uganda’s approach.

The Uganda Refugee and Host Communities Household Survey 2018 collected data to analyze the living conditions, wellbeing and socio-economic profile of refugees and host communities in Uganda.

Kind of Data Sample survey data [ssd]

Unit of Analysis - Households- Individuals- Communities

Scope

Study notes The 2018 Ugandan Refugee and Host Communities Household Survey (RHCS) covered the following topics:

HOUSEHOLD- Identification particulars- Household roster- Education- Health- Sources of income- Labor- Housing conditions- Household assets- Property and other incomes- Non-crop farming household enterprises/ activities in Uganda- Household consumption expenditure- Remittances (all usual and regular members 16 years and above)- Economic transactions- Sources of assistance- Safety of refugees- Safety of host communities- Food insecurity experience scale- Coping strategies- Social networks and shocks- Agriculture

COMMUNITY- Identification particulars- Roster of informants

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Page 8: UGA 2018 RHCS v01 M

- Service availability- Water and sanitation in the community- Education (primary education)- Payment for services by parents/guardians at the school- Incidence of leaving school pre-maturely- Problems/Constraints faced by the School- Health services- Services offered by this health facility- Factors limiting provision of health services- NGOs in the community- Community groups- Livelihood projects- Agricultural extension services- Safety of refugees and host communities

Coverage

Country Uganda, UGA

Geographic Coverage Refugees and host communities in Uganda (West Nile, South West and Kampala)

Producers and Sponsors

Authoring entity/Primary investigators

The World Bank, WB

Producers Office of the Prime Minister (OPM), Government of Uganda, Collaborated in the implementation of the surveyUganda Bureau of Statistics (UBOS), Government of Uganda, Collaborated in the implementation of the survey

Funding Agency/Sponsor

The World Bank (WB), Funded the study

Sampling

Sampling Procedure The survey is representative of the refugee and host community population of Uganda at the national level. Moreover, it is representative of the refugee and host population in the regions of West Nile and South West, and the city of Kampala. The host population is defined as the native population in districts where refugee settlements are situated. The survey used two different sampling frames. The first one, based on the list of Enumeration Areas (EAs) and the information of the 2014 Uganda Population and Housing Census, was used to determine the samples for the host and refugee populations of Kampala, and the host populations in West Nile and Southwest. The second one is a newly developed sampling frame for the refugee population in the West Nile and Southwest regions.

Given the nature of the survey, the sample is stratified by three separate domains. The first domain is the host population in the regions of West Nile and South West. The second is the refugee population in the regions of West Nile and Southwest, and the third, the refugee and host population in Kampala. A total of 221 primary sample units were allocated to the three different domains. For each domain, the sample was obtained based on a two-stage stratified sample of households. In the first stage, PSUs were selected using a Probability Proportional to Size (PPS) sampling method. For the host communities and Kampala, before the selection of the PSUs, district EAs were sorted by residence type (urban/rural), district sub-county, parish, village and EAs. For Kampala, only EAs that contained more than ten refugee households according to the 2014 Census were considered. With this sorting and PPS for the selection of PSUs, implicit stratification by residence type was achieved. For the refugee settlements, EAs were sorted based on the Settlement, Zone, Block, Cluster, Village, EA and by dominant country of origin. The latter was intended to ensure that PSUs with refugees coming from different countries of origin were selected.

Between the first and second stages, a household listing operation was carried out in all selected PSUs outside Kampala. For the listing operation, all selected PSUs were visited and the residential households were located with their address and the name of the household head was recorded. In the second stage, for each selected PSU, ten households were selected from the newly established list using a systematic sampling approach. Household selection was performed in the field prior to the main survey and interviewers only interviewed selected households. This means that no replacements or changes to selected households was allowed in the implementation stage in order to prevent bias. With this design, the survey selected 2,209 residential households, distributed geographically across 13 districts of Uganda

For further details on sampling, see section “Survey instrument” in the survey report (“Informing the Refugee Policy Response in Uganda”).

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Data Collection

Dates of Data Collection (YYYY/MM/DD)

2018-05, 2018-07

Mode of data collection Computer Assisted Personal Interview [capi]

Data Collectors Uganda Bureau of Statistics (UBOS)

Survey Instrument

Questionnaires Two questionnaires were used to collect the 2018 URHS data:- Household questionnaire- Community questionnaire

The questionnaires are comprehensive and follow closely the official survey questionnaires (Uganda National Household Survey) that Government of Uganda uses to monitor wellbeing and measure poverty.

Depositor Information

Depositor Aziz Atamanov, World Bank

Date of Deposit March 9, 2021

Data Access

Citation requirement Use of the dataset must be acknowledged using a citation which would include:- the Identification of the Primary Investigator- the title of the survey (including country, acronym and year of implementation)- the survey reference number- the source and date of download

Disclaimer and Copyright

Disclaimer The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Contacts

Contact Carolina Mejia-Mantilla, World Bank, [email protected]

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Page 10: UGA 2018 RHCS v01 M

Files DescriptionDataset contains 50 file(s)

agsec_1

# Cases 1657

# Variable(s) 62

File description The datafile contains information from the household questionnaire:- Section AG: Crops grown during the second season of 2017 (July-December 2017) - List of crops grown on the parcel

agsec_2

# Cases 2541

# Variable(s) 24

File description The datafile contains information from the household questionnaire:Section AG: Crops grown during the second season of 2017 (July-December 2017)

agsec_3

# Cases 4904

# Variable(s) 13

File description The datafile contains information from the household questionnaire:Section AG: Livestock

agsec_4

# Cases 6130

# Variable(s) 9

File description The datafile contains information from the household questionnaire:Section AG: Livestock inputs

csec1

# Cases 223

# Variable(s) 4

File description The datafile contains information from the community questionnaire:Section 1A: Identification particularsSection 1B: Staff details and survey time

csec1c

# Cases 1265

# Variable(s) 8

File description The datafile contains information from the community questionnaire:Section 1C: Roster of informants

csec2a

# Cases 8055

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Page 11: UGA 2018 RHCS v01 M

# Variable(s) 8

File description The datafile contains information from the community questionnaire:Section 2A: Service availability in LC1

csec2d

# Cases 212

# Variable(s) 14

File description The datafile contains information from the community questionnaire:Section 2D: Water and Sanitation in the Community

csec3a

# Cases 210

# Variable(s) 9

File description The datafile contains information from the community questionnaire:- Section 3.0: Education (Primary education) - Information about the school

csec3b

# Cases 1115

# Variable(s) 8

File description The datafile contains information from the community questionnaire:- Section 3.0: Education (Primary education) - Information on facilities at the school.

csec3d

# Cases 2096

# Variable(s) 9

File description The datafile contains information from the community questionnaire:- Section 3D: Payment for services by parents/guardians at the school

csec3f

# Cases 207

# Variable(s) 17

File description The datafile contains information from the community questionnaire::- Problems/Constraints faced by the School

csec4

# Cases 210

# Variable(s) 8

File description The datafile contains information from the community questionnaire:- Section 4.0: Health Services

csec4c

# Cases 2520

# Variable(s) 5

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Page 12: UGA 2018 RHCS v01 M

File description The datafile contains information from the community questionnaire:- Section 4C: Services offered by this health facility

csec4m

# Cases 209

# Variable(s) 15

File description The datafile contains information from the community questionnaire::- Section 4M: Factors limiting provision of health services

csec9

# Cases 212

# Variable(s) 20

File description The datafile contains information from the community questionnaire:- Section 9: Agricultural Extension Services

cseccg

# Cases 838

# Variable(s) 3

File description The datafile contains information from the community questionnaire:- Section CG: Community groups

cseclp

# Cases 1692

# Variable(s) 6

File description The datafile contains information from the community questionnaire:- Section LP: Livelihood projects

csecn

# Cases 630

# Variable(s) 19

File description The datafile contains information from the community questionnaire:- Section N: NGOs in the community

csecsf

# Cases 149

# Variable(s) 40

File description The datafile contains information from the community questionnaire:- Section SF: Safety of Refugees and Host Communities

csecsf2

# Cases 128

# Variable(s) 24

File description The datafile contains information from the community questionnaire:

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Page 13: UGA 2018 RHCS v01 M

- Section SF: Safety of Refugees and Host Communities (for the host communities)

hsec_bi

# Cases 1988

# Variable(s) 14

File description The datafile contains information from the household questionnaire:- Section BI: Economic transactions

hsec_hp

# Cases 2209

# Variable(s) 18

File description The datafile contains information from the household questionnaire::- Section HP: Sources of Assistance

hsec_hs

# Cases 45720

# Variable(s) 7

File description The datafile contains information from the household questionnaire:- Section HS: Social networks and shocks

hsec_hs_a

# Cases 1987

# Variable(s) 15

File description The datafile contains information from the household questionnaire:- Section HS: Social networks and shocks (Household member participation in social networks)

hsec_sf

# Cases 875

# Variable(s) 22

File description The datafile contains information from the household questionnaire:- Section SF: Safety of Refugees.

hsec_wf

# Cases 1988

# Variable(s) 29

File description The datafile contains information from the household questionnaire:- Section WF: Food Insecurity Experience Scale

hsec1

# Cases 2209

# Variable(s) 18

File description The datafile contains information from the household questionnaire:

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Page 14: UGA 2018 RHCS v01 M

- Section 1A: Identification particulars- Section 9: Housing conditions (only for refugee households)

hsec2a

# Cases 10319

# Variable(s) 16

File description The datafile contains information from the household questionnaire:- Section 2: Household roster

hsec2b

# Cases 4680

# Variable(s) 23

File description The datafile contains information from the household questionnaire:- Section 2B: Information on Refugees - all household members

hsec2c

# Cases 874

# Variable(s) 18

File description The datafile contains information from the household questionnaire:- Section 2C: Information on Refugees (continued) - Changes in household composition.

hsec4

# Cases 9132

# Variable(s) 16

File description The datafile contains information from the household questionnaire:- Section 4: Education (All Persons 3 Years and above)

hsec5

# Cases 10334

# Variable(s) 42

File description The datafile contains information from the household questionnaire:- Section 5: Health

hsec7a

# Cases 4788

# Variable(s) 67

File description The datafile contains information from the household questionnaire:- Section 7: Soures of Income (for persons 16 years and above) - Mobile Money and Financial Inclusion

hsec7b

# Cases 2209

# Variable(s) 25

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Page 15: UGA 2018 RHCS v01 M

File description The datafile contains information from the household questionnaire:- Section 7: Soures of Income.

hsec8

# Cases 5030

# Variable(s) 46

File description The datafile contains information from the household questionnaire:- Section 8: Labor.

hsec9

# Cases 1987

# Variable(s) 43

File description The datafile contains information from the household questionnaire:- Section 9: Housing conditions

hsec10

# Cases 51974

# Variable(s) 18

hsec11

# Cases 47976

# Variable(s) 7

File description The datafile contains information from the household questionnaire:- Section 11: Property and other incomes during the last 12 months.

hsec13a

# Cases 2000

# Variable(s) 9

File description The datafile contains information from the household questionnaire:- Section 13: Non crop farming household enterprises/activities in Uganda

hsec13b

# Cases 509

# Variable(s) 29

File description The datafile contains information from the household questionnaire:- Section 13: Non crop farming household enterprises.

hsec15a

# Cases 3965

# Variable(s) 8

File description The datafile contains information from the household questionnaire:- Section 15: Household Consumption Expenditure - Part A: Number of household members present

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Page 16: UGA 2018 RHCS v01 M

hsec15b

# Cases 28225

# Variable(s) 24

File description The datafile contains information from the household questionnaire:- Section 15: Household Consumption Expenditure - Part B: Food, Beverage, and Tobacco (During the Last 7 Days)

hsec15c

# Cases 16094

# Variable(s) 12

File description The datafile contains information from the household questionnaire:- Section 15: Household Consumption Expenditure - Part C: Non-Durable Goods and Frequently Purchased Services (During the last 30 days)

hsec15d

# Cases 15554

# Variable(s) 11

File description The datafile contains information from the household questionnaire:- Section 15: Household Consumption Expenditure - Part D: Semi-Durable Goods and Durable Goods and Service (During the last 365 days)

hsec15e

# Cases 745

# Variable(s) 4

File description The datafile contains information from the household questionnaire:- Section 15: Household Consumption Expenditure - Part E: Non-consumption Expenditure

hsec22

# Cases 571

# Variable(s) 16

File description The datafile contains information from the household questionnaire:Section 22: Remittances (All usual and regular members 16 years and above) - In kind transfers

hsec22a

# Cases 4780

# Variable(s) 16

File description The datafile contains information from the household questionnaire:Section 22: Remittances (All usual and regular members 16 years and above)

pov_2018_share

# Cases 1977

# Variable(s) 12

File description Derived data on refugee’s poverty status

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Page 17: UGA 2018 RHCS v01 M

weights

# Cases 10138

# Variable(s) 5

File description Household weighting coefficients

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Page 18: UGA 2018 RHCS v01 M

Variable ListDataset contains 915 variable(s)

File agsec_1

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 1657

2 prcid Parcel identifier discrete numeric.0 1657

3 Parcel Parcel name contin character 1657

4 useRights Do you own or have user rights to the %Parcel_Roster% parcel

discrete numeric.2 1636 21

5 areaParcel What's the area of %Parcel_Roster% ?

contin numeric.2 1636 21

6 acquirep How did you acquire these %rostertitle% ?

discrete numeric.2 1637 20

7 acquire_oth How did you acquire these parcels? Others

discrete character 1657

8 cultivate Did you cultivate in %rostertitle% during the past cropping season?

discrete numeric.2 1637 20

9 waterSource What is the main water source to %rostertitle%?

discrete numeric.2 1300 357

10 SECTION_AGcrops__310

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

11 SECTION_AGcrops__130

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

12 SECTION_AGcrops__210

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

13 SECTION_AGcrops__620

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

14 SECTION_AGcrops__630

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

15 SECTION_AGcrops__741

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

16 SECTION_AGcrops__640

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

17 SECTION_AGcrops__420

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

18 SECTION_AGcrops__710

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

19 SECTION_AGcrops__450

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

20 SECTION_AGcrops__742

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

21 SECTION_AGcrops__744

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

22 SECTION_AGcrops__812

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

-18-

Page 19: UGA 2018 RHCS v01 M

File agsec_1

# Name Label Type Format Valid Invalid Question

23 SECTION_AGcrops__320

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

24 SECTION_AGcrops__610

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

25 SECTION_AGcrops__811

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

26 SECTION_AGcrops__410

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

27 SECTION_AGcrops__490

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

28 SECTION_AGcrops__790

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

29 SECTION_AGcrops__510

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

30 SECTION_AGcrops__530

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

31 SECTION_AGcrops__890

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

32 SECTION_AGcrops__720

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

33 SECTION_AGcrops__222

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

34 SECTION_AGcrops__440

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

35 SECTION_AGcrops__780

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

36 SECTION_AGcrops__770

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

37 SECTION_AGcrops__760

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

38 SECTION_AGcrops__750

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

39 SECTION_AGcrops__470

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

40 SECTION_AGcrops__840

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

41 SECTION_AGcrops__120

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

42 SECTION_AGcrops__141

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

43 SECTION_AGcrops__810

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

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Page 20: UGA 2018 RHCS v01 M

File agsec_1

# Name Label Type Format Valid Invalid Question

44 SECTION_AGcrops__150

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

45 SECTION_AGcrops__870

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

46 SECTION_AGcrops__340

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

47 SECTION_AGcrops__650

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

48 SECTION_AGcrops__460

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

49 SECTION_AGcrops__480

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

50 SECTION_AGcrops__700

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

51 SECTION_AGcrops__520

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

52 SECTION_AGcrops__330

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

53 SECTION_AGcrops__224

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

54 SECTION_AGcrops__221

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

55 SECTION_AGcrops__223

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

56 SECTION_AGcrops__112

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

57 SECTION_AGcrops__820

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

58 SECTION_AGcrops__430

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

59 SECTION_AGcrops__111

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

60 SECTION_AGcrops__830

Please select all crops grown on %rostertitle% in the second cropping season of

discrete numeric.0 1300 357

61 batch_num Batch Number contin numeric.2 1657

62 s1aq9 Sample number discrete numeric.2 1657

File agsec_2

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 2541

2 prcid Parcel identifier discrete numeric.0 2541

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File agsec_2

# Name Label Type Format Valid Invalid Question

3 SECTION_AG__id

discrete numeric.0 2541

4 seedlings Did you use seed/seedlings on %rostertitle% ?

discrete numeric.2 2492 49

5 pesticides Did you use pesticides on %rostertitle% ?

discrete numeric.2 2494 47

6 irrigated How was %rostertitle% irrigated?

discrete numeric.2 2494 47

7 irrigatedOthers Others discrete character 2541

8 fertilizers Did you use fertilizers on %rostertitle% ?

discrete numeric.2 2494 47

9 labour Did you use hired labor? discrete numeric.2 2494 47

10 Qty How much of %rostertitle% was harvested (Quatity)

contin numeric.2 2462 79

11 Unit_measure How much of %rostertitle% was harvested (Unit measure)

discrete numeric.2 2344 197

12 conditionState In what state was %rostertitle% harvested (condition State)

discrete numeric.2 2400 141

13 Conversion How much of %rostertitle% was harvested (Conversion KG)

contin numeric.2 2459 82

14 consume Did the household consume a portion of the %rostertitle%?

discrete numeric.2 2462 79

15 sell Did the household sell a portion of the %rostertitle%?

discrete numeric.2 2463 78

16 statenumber2 Was the %rostertitle% harvested in the second state?

discrete numeric.2 2463 78

17 Qty2 How much of %rostertitle% was harvested (Quatity)

discrete numeric.2 565 1976

18 Unit_measure2 How much of %rostertitle% was harvested (Unit measure)

discrete numeric.2 565 1976

19 conditionState2

In what state was %rostertitle% harvested (condition State)

discrete numeric.2 565 1976

20 Conversion2 How much of %rostertitle% was harvested (Conversion)

contin numeric.2 565 1976

21 consume2 Did the household consume a portion of the %rostertitle%?

discrete numeric.2 565 1976

22 sell2 Did the household sell a portion of the %rostertitle%?

discrete numeric.2 565 1976

23 batch_num Batch Number contin numeric.2 2541

24 s1aq9 Sample number discrete numeric.2 2541

File agsec_3

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 4904

2 lvstid Livestock identifier discrete numeric.0 4904

3 AG3 How many %rostertitle% (at your farm or away) are owned by your household now?

discrete numeric.2 4903 1

4 AG4 Did you consume any [ANIMAL] during the past 12 months?

discrete numeric.2 1021 3883

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File agsec_3

# Name Label Type Format Valid Invalid Question

5 AG5 Did you sell any [ANIMAL] during the past 12 months?

discrete numeric.2 1021 3883

6 AG6 Has the household produced any animal by-products from [ANIMAL GROUP]

discrete numeric.2 1021 3883

7 AG7 Did the household consume/sell any of the [EGGS]?

discrete numeric.2 158 4746

8 AG8 Did the household consume/sell any of the [MILK]?

discrete numeric.2 115 4789

9 AG9 Did the household consume/sell any of the [MEAT]?

discrete numeric.2 287 4617

10 AG10 Did the household consume /sell any of the [DUNG]?

discrete numeric.2 287 4617

11 AG11 Did the household consume/sell any of the [SKIN & HIDES]?

discrete numeric.2 115 4789

12 batch_num Batch Number contin numeric.2 4904

13 s1aq9 Sample number discrete numeric.2 4904

File agsec_4

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 6130

2 lvstinputid Livestock input identifier discrete numeric.0 6130

3 LIVESTOCKINPUTSothers

Other (specify) discrete character 6130

4 AAG3 Did you use %rostertitle% in the last 12 months?

discrete numeric.2 6130

5 AAG4 How did you obtain the %rostertitle%?

discrete numeric.2 382 5748

6 AAG4_oth How did you obtain the %rostertitle%? OTHERS

contin character 6130

7 AAG5 During the last month, how much did you spend on %rostertitle%, including transp

contin numeric.2 382 5748

8 batch_num Batch Number contin numeric.2 6130

9 s1aq9 Sample number discrete numeric.2 6130

File csec1

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 223

2 batch_num Batch ID contin numeric.0 223

3 s1aq2a District discrete character 223

4 s1bq2 Response code discrete numeric.0 215 8

File csec1c

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 1265

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File csec1c

# Name Label Type Format Valid Invalid Question

2 pid Key informat identifier discrete numeric.0 1265

3 CR02 Sex discrete numeric.0 1265

4 CR03 CR03: How old is %rostertitle%?

contin numeric.0 1265

5 CR04 CR04: What position does %rostertitle% currently have in this community?

discrete numeric.0 1265

6 CR04b Others contin character 1265

7 CR05 CR05: For how many years have %rostertitle% lived in this community?

contin numeric.0 1265

8 CR06 CR06: What is the highest educational qualification %rostertitle% has attained?

discrete numeric.0 1265

File csec2a

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 8055

2 SA01 Sr No discrete numeric.0 8055

3 SA03 Is [SERVICE] available to members of the LC1?

discrete numeric.0 8055

4 SA05 SA05: What is the distance from village centre to %rostertitle%

contin numeric.0 3445 4610

5 SA06 What is the most common means of transport to [SERVICE]?

discrete numeric.0 3445 4610

6 SA06b SA06b: OTHER-What is the most common means of transport to %rostertitle%?

discrete character 8055

7 SA07 Time taken to get to [SERVICE] from village centre using common means of transport

contin numeric.0 3445 4610

8 SA08 How do you rate the quality of service offered by [SERVICE]?

discrete numeric.0 3445 4610

File csec2d

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 212

2 A01 A01. How has the availability of safe water changed in the last 2 years?

discrete numeric.0 212

3 A03 A03. Do the people in your community pay for using water?

discrete numeric.0 212

4 A04 A04. What is the purpose of the payments?

discrete numeric.0 125 87

5 A04_oth Other(specify) discrete character 212

6 A05__1 Covered Latrine Private discrete numeric.0 212

7 A05__2 Covered Latrine Shared discrete numeric.0 212

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File csec2d

# Name Label Type Format Valid Invalid Question

8 A05__3 VIP Latrine Private discrete numeric.0 212

9 A05__4 VIP Latrine Shared discrete numeric.0 212

10 A05__5 Uncovered Pit Latrine discrete numeric.0 212

11 A05__6 Flush Toilet Private discrete numeric.0 212

12 A05__7 Flush Toilet Shared discrete numeric.0 212

13 A05__8 Ecosan Toilet discrete numeric.0 212

14 A05__9 No Toilet / Bush discrete numeric.0 212

File csec3a

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 210

2 cs3q2 cs3q2: What is the %cs3q1%’s EMIS number?

contin numeric.0 172 38

3 cs3q4 cs3q4: What is the function of the respondent?

discrete numeric.0 210

4 cs3q4_oth Other (specify) discrete character 210

5 cs3q5 cs3q5: How long has the respondent been at %cs3q1%?

discrete numeric.0 210

6 cs3q6 cs3q6: Who manages %cs3q1%?

discrete numeric.0 210

7 cs3q6_oth Other (specify) discrete character 210

8 cs3q7 cs3q7:INTERVIEWER: IS IT A SCHOOL DAY OR WEEKEND/HOLIDAY?

discrete numeric.0 210

9 cs3q7a cs3q7A:Is %cs3q1% shared by refugees and Uganda students?

discrete numeric.0 210

File csec3b

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 1115

2 cs3q8 Facility identifier discrete numeric.0 1115

3 facilityOthers Others(specify) discrete character 1115

4 cs3q9 Are %rostertitle% available at %cs3q1%?

discrete numeric.0 1046 69

5 cs3q10 Is the %rostertitle% adequate? discrete numeric.0 703 412

6 cs3q11 What type of buildings does %cs3q1% have?

discrete numeric.0 703 412

7 cs3q11_oth Other (Specify) discrete character 1115

8 cs3q12 What is the condition of the %rostertitle%?

discrete numeric.0 703 412

File csec3d

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 2096

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File csec3d

# Name Label Type Format Valid Invalid Question

2 cs3q25 type of payment identifier discrete numeric.0 2096

3 paymentService_oth

Others (specify) discrete character 2096

4 cs3q26 Does this school provide %rostertitle% to students?

discrete numeric.0 2096

5 cs3q27 Does the school charge for [ITEM]?

discrete numeric.0 668 1428

6 cs3q28a What is the average amount charged per child for %rostertitle%? Refugee

discrete numeric.0 224 1872

7 cs3q28b What is the average amount charged per child for %rostertitle%? Non-refugee

contin numeric.0 286 1810

8 cs3q29 What is the frequency of payment for %rostertitle%?

discrete numeric.0 296 1800

9 cs3q29_oth Other (specify) discrete character 2096

File csec3f

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 207

2 cs3q48__1 What are the MAJOR constraints/problems faced by the school?:Delayed remittance

discrete numeric.0 16 191

3 cs3q48__2 What are the MAJOR constraints/problems faced by the school?:Inadequate building

discrete numeric.0 105 102

4 cs3q48__3 What are the MAJOR constraints/problems faced by the school?:Inadequate number o

discrete numeric.0 76 131

5 cs3q48__4 What are the MAJOR constraints/problems faced by the school?:Inadequate number o

discrete numeric.0 13 194

6 cs3q48__5 What are the MAJOR constraints/problems faced by the school?:Insufficiency of fu

discrete numeric.0 60 147

7 cs3q48__6 What are the MAJOR constraints/problems faced by the school?:Long distances cove

discrete numeric.0 27 180

8 cs3q48__7 What are the MAJOR constraints/problems faced by the school?:Pupils are hungry

discrete numeric.0 27 180

9 cs3q48__8 What are the MAJOR constraints/problems faced by the school?:Bad behavior/strike

discrete numeric.0 1 206

10 cs3q48__9 What are the MAJOR constraints/problems faced by the school?:Irregular attendanc

discrete numeric.0 42 165

11 cs3q48__10 What are the MAJOR constraints/problems faced by the school?:Inadequate/lack of

discrete numeric.0 97 110

12 cs3q48__11 What are the MAJOR constraints/problems faced by the school?:Teacher absenteeism

discrete numeric.0 8 199

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File csec3f

# Name Label Type Format Valid Invalid Question

13 cs3q48__12 What are the MAJOR constraints/problems faced by the school?:Bad behavior/strike

discrete numeric.0 207

14 cs3q48__13 What are the MAJOR constraints/problems faced by the school?:Lack of parental in

discrete numeric.0 55 152

15 cs3q48__14 What are the MAJOR constraints/problems faced by the school?:Insecurity

discrete numeric.0 12 195

16 cs3q48__96 What are the MAJOR constraints/problems faced by the school?:Other (specify)

discrete numeric.0 66 141

17 cs3q48_oth Other (specify) contin character 207

File csec4

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 210

2 cs4q4 What is the function of the respondent?

discrete numeric.0 210

3 cs4q4_oth Other (specify) discrete character 210

4 cs4q5 How long has the respondent been at the facility?

discrete numeric.0 210

5 cs4q6 Who owns this facility? discrete numeric.0 210

6 cs4q6_oth Other (specify) discrete character 210

7 cs4q7 What is the level of this health facility?

discrete numeric.0 209 1

8 cs4q7_oth Other (specify) discrete character 210

File csec4c

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 2520

2 cs4q45 Service discrete numeric.0 2520

3 cs4q46 Is %rostertitle% offered at this health facility?

discrete numeric.0 2520

4 cs4q47 Do patients have to pay for %rostertitle%?

discrete numeric.0 1994 526

5 cs4q47b How much do patients pay on average for %rostertitle%?

discrete numeric.0 107 2413

File csec4m

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 209

2 cs4q106__1 What are the MAJOR limiting factors faced by the health facility?:Delayed remitt

discrete numeric.0 13 196

3 cs4q106__2 What are the MAJOR limiting factors faced by the health facility?:Inadequate fun

discrete numeric.0 36 173

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File csec4m

# Name Label Type Format Valid Invalid Question

4 cs4q106__3 What are the MAJOR limiting factors faced by the health facility?:Inadequate fac

discrete numeric.0 133 76

5 cs4q106__4 What are the MAJOR limiting factors faced by the health facility?:Inadequate dru

discrete numeric.0 108 101

6 cs4q106__5 What are the MAJOR limiting factors faced by the health facility?:Inadequate cli

discrete numeric.0 41 168

7 cs4q106__6 What are the MAJOR limiting factors faced by the health facility?:Inadequate num

discrete numeric.0 91 118

8 cs4q106__7 What are the MAJOR limiting factors faced by the health facility?:Inadequate sta

discrete numeric.0 1 208

9 cs4q106__8 What are the MAJOR limiting factors faced by the health facility?:Long distances

discrete numeric.0 17 192

10 cs4q106__9 What are the MAJOR limiting factors faced by the health facility?:Negative attit

discrete numeric.0 26 183

11 cs4q106__10 What are the MAJOR limiting factors faced by the health facility?:Low pay to sta

discrete numeric.0 9 200

12 cs4q106__11 What are the MAJOR limiting factors faced by the health facility?:Insecurity

discrete numeric.0 5 204

13 cs4q106__12 What are the MAJOR limiting factors faced by the health facility?:Low staff mora

discrete numeric.0 209

14 cs4q106__96 What are the MAJOR limiting factors faced by the health facility?:Other (specify

discrete numeric.0 106 103

15 cs4q106_oth Other (specify) contin character 209

File csec9

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 212

2 E01 During the past 12 months, were farmers in this community visited by any agricul

discrete numeric.0 212

3 E02__1 What were the types of extension services offered?:Treatment of Animal diseases

discrete numeric.0 77 135

4 E02__2 What were the types of extension services offered?:Control of crop diseases

discrete numeric.0 77 135

5 E02__3 What were the types of extension services offered?:Vaccination

discrete numeric.0 77 135

6 E02__4 What were the types of extension services offered?:Artificial insemination

discrete numeric.0 77 135

7 E02__5 What were the types of extension services offered?:Advice on good agricultural p

discrete numeric.0 77 135

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File csec9

# Name Label Type Format Valid Invalid Question

8 E02__6 What were the types of extension services offered?:Marketing

discrete numeric.0 77 135

9 E02__7 What were the types of extension services offered?:use of fertilizers

discrete numeric.0 77 135

10 E02__8 What were the types of extension services offered?:farm mechanization

discrete numeric.0 77 135

11 E02__9 What were the types of extension services offered?:Advice on credit services

discrete numeric.0 77 135

12 E02__10 What were the types of extension services offered?:Environmental conservation

discrete numeric.0 77 135

13 E02__96 What were the types of extension services offered?:Other(specify)

discrete numeric.0 77 135

14 E02b Others discrete character 212

15 E03 Do you comply with the services the EXTENSION officer gives?

discrete numeric.0 77 135

16 E04 Are there any irrigated fields in this community?

discrete numeric.0 212

17 E05 Do any farmers in this community use Organic fertilizers?

discrete numeric.0 212

18 E06 Do any farmers in this community use inorganic fertilizers?

discrete numeric.0 212

19 E07 Do any farmers in this community use pesticides?

discrete numeric.0 212

20 E08 Do any farmers in this community use herbicides?

discrete numeric.0 212

File cseccg

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 838

2 csnq0 Community groups discrete numeric.0 838

3 csnq5 Dose %rostertitle% exist within this community?

discrete numeric.0 838

File cseclp

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 1692

2 lp1 Project discrete numeric.0 1692

3 lp1_oth Other (Specify) discrete character 1692

4 lp3 Does %rostertitle% exist within this community?

discrete numeric.0 1692

5 lp4 How many members does the %rostertitle% have?

discrete numeric.0 209 1483

6 lp5 How many female members discrete numeric.0 209 1483

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File cseclp

# Name Label Type Format Valid Invalid Question

does the %rostertitle% have?

File csecn

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 630

2 ngo__id NGO ID discrete numeric.0 630

3 csnq1 NGO name contin character 630

4 csnq2 What is the type of %rostertitle%?

discrete numeric.0 621 9

5 csnq2_oth Other (specify) discrete character 630

6 csnq3 When did the [NGO] begin work within this community?

discrete numeric.0 620 10

7 csnq4__1 What is the main purpose of the [NGO]?:Health/Sanitation

discrete numeric.0 622 8

8 csnq4__2 What is the main purpose of the [NGO]?:Domestic Water Sources

discrete numeric.0 622 8

9 csnq4__3 What is the main purpose of the [NGO]?:Maternal/Child Nutrition

discrete numeric.0 622 8

10 csnq4__4 What is the main purpose of the [NGO]?:Education

discrete numeric.0 622 8

11 csnq4__5 What is the main purpose of the [NGO]?:Crop Production (Gen’l)

discrete numeric.0 622 8

12 csnq4__6 What is the main purpose of the [NGO]?:Irrigation

discrete numeric.0 622 8

13 csnq4__7 What is the main purpose of the [NGO]?:Sustainable Land Mgmt

discrete numeric.0 622 8

14 csnq4__8 What is the main purpose of the [NGO]?:Forestry/Agro-Forestry

discrete numeric.0 622 8

15 csnq4__9 What is the main purpose of the [NGO]?:Livestock Production (Gen’l)

discrete numeric.0 622 8

16 csnq4__10 What is the main purpose of the [NGO]?:Livestock Health

discrete numeric.0 622 8

17 csnq4__11 What is the main purpose of the [NGO]?:Fishing

discrete numeric.0 622 8

18 csnq4__96 What is the main purpose of the [NGO]?:Other(specify)

discrete numeric.0 622 8

19 csnq4_oth Other(specify) contin character 630

File csecsf

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 149

2 SRR1 SFR1. Do you feel that refugees are secure/ safe in Uganda?

discrete numeric.0 147 2

3 SFR2 SFR2. Why do you think they feel unsafe

discrete numeric.0 8 141

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File csecsf

# Name Label Type Format Valid Invalid Question

4 SFR2_oth Other (specify) discrete character 149

5 SFR2A SFR2A.Has your sense of safety in your community or camp district changed in the

discrete numeric.0 147 2

6 SFR2B__1 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

7 SFR2B__2 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

8 SFR2B__3 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

9 SFR2B__4 SFR2B.What can be done in your community to make the refugees

discrete numeric.0 142 7

10 SFR2B__5 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

11 SFR2B__6 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

12 SFR2B__7 SFR2B.What can be done in your community to make the refugees

discrete numeric.0 142 7

13 SFR2B__8 SFR2B. What can be done in your community to make the refugees

discrete numeric.0 142 7

14 SFR3 SFR3.How safe do you think it is for you or anyone in your family to walk during

discrete numeric.0 145 4

15 SFR4 SFR4. How safe do you think it is for you or anyone in your family to walk durin

discrete numeric.0 144 5

16 SFR6 SFR6. How do you feel towards UNHCR refugee related activities in this community

discrete numeric.0 145 4

17 SFR7 SFR7. How do you feel towards other NGO´s activities within this community?

discrete numeric.0 145 4

18 SFR8 SFR8. Would you think that not being a national of Uganda impacts on your safety

discrete numeric.0 144 5

19 SFR9 SFR9. How would you describe your interaction with the Ugandan community and the

discrete numeric.0 144 5

20 SFR11 SFR11. In the last 12 months, any refugees in this community ever been insulted,

discrete numeric.0 144 5

21 SFR11A__1 SFR11A. Who were the perpetrators?:Ugandans

discrete numeric.0 27 122

22 SFR11A__2 SFR11A. Who were the perpetrators?:Fellow Refugees

discrete numeric.0 27 122

23 SFR11A__3 SFR11A. Who were the perpetrators?:Refugee Leaders

discrete numeric.0 27 122

24 SFR11A__4 SFR11A. Who were the perpetrators?:Other Leaders (specify)

discrete numeric.0 27 122

25 SFR11A__5 SFR11A. Who were the perpetrators?:Unkown person

discrete numeric.0 27 122

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File csecsf

# Name Label Type Format Valid Invalid Question

26 SRF11A_OTH Other Leaders (specify) discrete character 149

27 SFR12 SFR12. Do the refugee children in your community have any friends who are Uganda

discrete numeric.0 145 4

28 SFR13 SRF13. Do the refugee children share recreational spaces (play areas etc.) with

discrete numeric.0 145 4

29 SFR14__1 SFR14. Who do refugees contact when faced with a safety/security problem?:Contac

discrete numeric.0 144 5

30 SFR14__2 SFR14. Who do refugees contact when faced with a safety/security problem?:Other

discrete numeric.0 144 5

31 SFR14__3 SFR14. Who do refugees contact when faced with a safety/security problem?:fellow

discrete numeric.0 144 5

32 SFR14__4 SFR14. Who do refugees contact when faced with a safety/security problem?:neighb

discrete numeric.0 144 5

33 SFR14__5 SFR14. Who do refugees contact when faced with a safety/security problem?:Police

discrete numeric.0 144 5

34 SFR14__6 SFR14. Who do refugees contact when faced with a safety/security problem?:Religi

discrete numeric.0 144 5

35 SFR14__7 SFR14. Who do refugees contact when faced with a safety/security problem?:NGO st

discrete numeric.0 144 5

36 SFR14__8 SFR14. Who do refugees contact when faced with a safety/security problem?:Street

discrete numeric.0 144 5

37 SFR14__9 SFR14. Who do refugees contact when faced with a safety/security problem?:Syrian

discrete numeric.0 144 5

38 SFR14__10 SFR14. Who do refugees contact when faced with a safety/security problem?:Jordan

discrete numeric.0 144 5

39 SFR14__96 SFR14. Who do refugees contact when faced with a safety/security problem?:Other

discrete numeric.0 144 5

40 SFR14_OTH Other (optional text) discrete character 149

File csecsf2

# Name Label Type Format Valid Invalid Question

1 cid Community identifier contin character 128

2 SRR1A SFR1. Do you feel that refugees are secure/ safe in Uganda?

discrete numeric.0 128

3 SFR2AA SFR2. Why do you think they feel unsafe

discrete numeric.0 3 125

4 SFR6A SFR6. How do you feel towards UNHCR refugee related activities in this community

discrete numeric.0 128

-31-

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File csecsf2

# Name Label Type Format Valid Invalid Question

5 SFR7A SFR7. How do you feel towards other NGO´s activities within this community?

discrete numeric.0 128

6 SFR8A SFR8. Would you think that not being a national of Uganda impacts on your safety

discrete numeric.0 126 2

7 SFR9A SFR9. How would you describe your interaction with the Ugandan community and the

discrete numeric.0 128

8 SFR11AAA SFR11. In the last 12 months, any refugees in this community ever been insulted,

discrete numeric.0 128

9 SFR11AA__1 SFR11A. Who were the perpetrators?:Ugandans

discrete numeric.0 11 117

10 SFR11AA__2 SFR11A. Who were the perpetrators?:Fellow Refugees

discrete numeric.0 11 117

11 SFR11AA__3 SFR11A. Who were the perpetrators?:Refugee Leaders

discrete numeric.0 11 117

12 SFR11AA__4 SFR11A. Who were the perpetrators?:Other Leaders (specify)

discrete numeric.0 11 117

13 SFR11AA__5 SFR11A. Who were the perpetrators?:Unkown person

discrete numeric.0 11 117

14 SFR12A SFR12. Do the refugee children in your community have any friends who are Uganda

discrete numeric.0 127 1

15 SFR13A SRF13. Do the refugee children share recreational spaces (play areas etc.) with

discrete numeric.0 128

16 SFR14A Have refugees faced problems or barriers in accessing services or assistance in

discrete numeric.0 128

17 SFR15A__1 How do refugees in your district presently get information on services that they

discrete numeric.0 126 2

18 SFR15A__2 How do refugees in your district presently get information on services that they

discrete numeric.0 126 2

19 SFR15A__3 How do refugees in your district presently get information on services that they

discrete numeric.0 126 2

20 SFR15A__4 How do refugees in your district presently get information on services that they

discrete numeric.0 126 2

21 SFR15A__96 How do refugees in your district presently get information on services that they

discrete numeric.0 126 2

22 SRF15A_OTH Other (specify) discrete character 128

23 SFR16A Are refugees facing challenges to registering (for the first time) or renewing r

discrete numeric.0 128

24 SFR17A SFR17A: Are refugees facing challenges specific to housing or rental for the spa

discrete numeric.0 128

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File hsec_bi

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 1988

2 BL1__1 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

3 BL1__2 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

4 BL1__3 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

5 BL1__4 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

6 BL1__5 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

7 BL1__6 BL1 At which place do you or your family usually obtain/purchase food and bevera

discrete numeric.0 1988

8 BL1_oth BL1 Others Specify discrete character 1988

9 BL2 BL2 At which place do you or your family usually obtain/purchase all other goods

discrete numeric.2 1987 1

10 BL2_oth BL2 Others Specify discrete character 1988

11 BL3 BL3 At which place do you or your family usually obtain/purchase household appli

discrete numeric.2 1987 1

12 BL3_oth BL2 Others Specify discrete character 1988

13 batch_num Batch Number contin numeric.2 1988

14 s1aq9 Sample number discrete numeric.2 1988

File hsec_hp

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 2209

2 HP1 HP1 Has your household ever received a food voucher within the last 30 days?

discrete numeric.2 1987 222

3 HP1A HP1A Who gave you this WFP food voucher most recently?

discrete numeric.2 243 1966

4 HP1A_oth HP1A Others specify discrete character 2209

5 HP2 HP2 Has your household ever received cash for food assistance within the last 30

discrete numeric.2 1988 221

6 HP2A HP2A Who gave you this cash for food recently?

discrete numeric.2 188 2021

7 HP2A_oth HP2A Others specify discrete character 2209

8 HP4 HP4 Has your household ever received food in-kind within the last 30 days?

discrete numeric.2 1987 222

9 HP4A HP4A Who gave you this food in kind?

discrete numeric.2 580 1629

10 HP4A_oth HP4A Others specify contin character 2209

11 HP5 HP5 Has your household ever discrete numeric.2 1987 222

-33-

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File hsec_hp

# Name Label Type Format Valid Invalid Question

received any FREE health care assistance?

12 HP5A HP5A Who gave you this assistance?

discrete numeric.2 1025 1184

13 HP5A_oth HP5A Others Specify discrete character 2209

14 HP10 HP10 Has your household ever received household items/non-food items (beddings,

discrete numeric.2 1988 221

15 HP10A HP10A Who gave you this cash/in-kind recently?

discrete numeric.2 517 1692

16 HP10A_oth HP10A Others Specify discrete character 2209

17 batch_num Batch Number contin numeric.2 2209

18 s1aq9 Sample number discrete numeric.2 2209

File hsec_hs

# Name Label Type Format Valid Invalid Question

1 ShockRoster__id

Shock Name discrete numeric.0 45720

2 shock_oths Others Specify contin character 45720

3 HS3 HS3 In the last 12 months, did you or any of your household members experience %

discrete numeric.2 45720

4 HS4 HS4 In the last 12 months, what did your household do in response to the %roster

discrete numeric.2 2718 43002

5 HS5 HS5 In the last month, have you or any of your household members experienced %ro

discrete numeric.2 2718 43002

6 HS6 HS6 In the last month, what did your household do in response to the [SHOCK] to

discrete numeric.2 948 44772

7 hh Household Identifier contin character 45720

File hsec_hs_a

# Name Label Type Format Valid Invalid Question

1 HHID Household ID contin character 1987

2 HS1a HS1a Does any member of your household belong to or participate in a Agricultura

discrete numeric.2 1987

3 HS1b HS1b Does any member of your household belong to or participate in a Farmers' Gr

discrete numeric.2 1987

4 HS1c HS1c Does any member of your household belong to or participate in a Livestock A

discrete numeric.2 1987

5 HS1d HS1d Does any member of your household belong to or participate in a Village sav

discrete numeric.2 1987

6 HS1e HS1e Does any member of your household belong to or participate in a Business As

discrete numeric.2 1987

7 HS1f HS1f Does any member of your household belong to or participate in a Women's gro

discrete numeric.2 1987

-34-

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File hsec_hs_a

# Name Label Type Format Valid Invalid Question

8 HS1g HS1g Does any member of your household belong to or participate in a Farmer Fiel

discrete numeric.2 1986 1

9 HS1h HS1h Does any member of your household belong to or participate in a Youth group

discrete numeric.2 1987

10 HS1i HS1i Does any member of your household belong to or participate in a Community p

discrete numeric.2 1987

11 HS1j HS1j Does any member of your household belong to or participate in a Cultural gr

discrete numeric.2 1987

12 HS1k HS1k Does any member of your household belong to or participate in Other (Speci

discrete numeric.2 1987

13 HS1k_oth HS1k Other (Specify) discrete character 1987

14 batch_num Batch Number contin numeric.2 1987

15 s1aq9 Sample number discrete numeric.2 1987

File hsec_sf

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 875

2 SFR1 SFR1 Do you feel secure/ safe in Uganda?

discrete numeric.2 875

3 SFR2 SFR2. Why do you feel unsafe?

discrete numeric.2 60 815

4 SFR2b SFR2b. Why do you feel unsafe? -OTHERS

discrete character 875

5 SFR3 SFR3 How safe do you think it is for you or anyone in your family to walk during

discrete numeric.2 875

6 SFR4 SFR4 How safe do you think it is for you or anyone in your family to walk during

discrete numeric.2 875

7 SFR6 SFR6 How do you feel towards UNHCR?

discrete numeric.2 875

8 SFR7 SFR7 How do you feel towards other NGO´s?

discrete numeric.2 875

9 SFR8 SFR8 Would you think that not being a national of Uganda impacts on your safety?

discrete numeric.2 874 1

10 SFR9 SFR9 How would you describe your interaction with the Ugandan community where yo

discrete numeric.2 875

11 SFR10 SFR10 During the last 12 months, did you ever feel unsafe interacting with Ugand

discrete numeric.2 875

12 SFR11 SFR11 In the last 12 months, have you or your family ever been insulted, or thre

discrete numeric.2 875

13 SFR11A__1 Who were the perpetrators?:Ugandans

discrete numeric.0 71 804

14 SFR11A__2 Who were the perpetrators?:Fellow Refugees

discrete numeric.0 71 804

15 SFR11A__3 Who were the perpetrators?:Refugee Leaders

discrete numeric.0 71 804

-35-

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File hsec_sf

# Name Label Type Format Valid Invalid Question

16 SFR11A__4 Who were the perpetrators?:Other Leaders (specify)

discrete numeric.0 71 804

17 SFR11A__5 Who were the perpetrators?:Unknown person

discrete numeric.0 71 804

18 SFR11Ab SFR11Ab Others discrete character 875

19 SFR12 SFR12 Do the children in your household have any friends who are Ugandans?

discrete numeric.2 875

20 SFR13 SFR13 Do the children share recreational spaces (play areas etc.) with Ugandans?

discrete numeric.2 875

21 batch_num Batch Number contin numeric.2 875

22 s1aq9 Sample number discrete numeric.2 875

File hsec_wf

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 1988

2 WF1 WF1 You were worried you would not have enough food to eat because of a lack of

discrete numeric.2 1988

3 WF2 WF2 Still thinking about the last 30 days, was there a time when you were unable

discrete numeric.2 1988

4 WF3 WF3 You ate only a few kinds of food because of a lack of money or other resourc

discrete numeric.2 1988

5 WF4 WF4 You had to skip a meal because there was not enough money or other resources

discrete numeric.2 1988

6 WF5 WF5 Still thinking about the last 30 days, was there a time when you ate less th

discrete numeric.2 1988

7 WF6 WF6 Your household ran out of food because of a lack of money or other resources

discrete numeric.2 1988

8 WF7 WF7 You were hungry but did not eat because there was not enough money or other

discrete numeric.2 1988

9 WF8 WF8 You went without eating for a whole day because of a lack of money or other

discrete numeric.2 1987 1

10 WF9 WF9 In the past 7 days, how often has your household had to rely on less preferr

discrete numeric.0 1988

11 WF10 WF10 In the past 7 days, how often has your household reduced the number of meal

discrete numeric.0 1988

12 WF11 WF11 In the past 7 days, how often has your household had to borrow food, or rel

discrete numeric.0 1988

13 WF12 WF12 In the past 7 days, how often has your household had to purchase food on cr

discrete numeric.0 1988

14 WF14 WF14 In the past 7 days, how often has your household had to gather wild foods,

discrete numeric.0 1988

15 WF15 WF15 In the past 7 days, how discrete numeric.0 1988

-36-

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File hsec_wf

# Name Label Type Format Valid Invalid Question

often has your household had to harvest and consume

16 WF16 WF16 In the past 7 days, how often has your household had to consume seed stock

discrete numeric.0 1987 1

17 WF17 WF17 In the past 7 days, how often has your household had to send household memb

discrete numeric.0 1988

18 WF18 WF18 In the past 7 days, how often has your household had to limit portion/ size

discrete numeric.0 1988

19 WF19 WF19 In the past 7 days, how often has your household had to reduce consumption

discrete numeric.0 1988

20 WF20 WF20 In the past 7 days, how often has your household had to reduce consumption

discrete numeric.0 1988

21 WF21 WF21 In the past 7 days, how often has your household had to go one entire day

discrete numeric.0 1988

22 WF22 WF22 In the past 7 days, how often has your household had to sell livestock?

discrete numeric.0 1988

23 WF23 WF23 In the past 7 days, how often has your household had to beg for food?

discrete numeric.0 1988

24 WF24 WF24 In the past 7 days, how often has your household had to sell assets (other

discrete numeric.0 1987 1

25 WF25 WF25 In the past 7 days, how often has your household had to increase the sellin

discrete numeric.0 1988

26 WF26 WF26 In the past 7 days, how often has your household had to rely on casual lab

discrete numeric.0 1987 1

27 WF27 WF27 In the past 7 days, how often has your household had to ask for loans from

discrete numeric.0 1988

28 batch_num Batch Number contin numeric.2 1988

29 s1aq9 Sample number discrete numeric.2 1988

File hsec1

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 2209

2 batch_num batch_num contin numeric.0 2209

3 s1aq2a district discrete character 2209

4 s1aq8 Household Serial Number discrete numeric.2 221 1988

5 hhid Household ID contin numeric.2 2209

6 AG1 AG1. Did you or any member of your households OWN/HAVE ACCESS (USE RIGHTS) to an

discrete numeric.2 1988 221

7 livestock 15. Have you or anyone in your household owned any ANIMAL during the past 12 pas

discrete numeric.2 1985 224

8 s1aq15 15. IS HOUSEHOLD A discrete numeric.2 2209

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File hsec1

# Name Label Type Format Valid Invalid Question

REFUGEE HOUSEHOLD?

9 day Day discrete character 2209

10 month Month discrete character 2209

11 year Year discrete character 2209

12 day3 day3 discrete character 2209

13 nonresp Final household response rate discrete numeric.0 2209

14 reason Reason discrete numeric.0 2008 201

15 district District discrete numeric.0 2209

16 HP3 HP3 Has your household ever received construction materials/shelter support?

discrete numeric.2 874 1335

17 HP3A HP3A Who gave you this support?

discrete numeric.2 426 1783

18 HP3A_oth Others Specify discrete character 2209

File hsec2a

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 10319

2 pid Individual indentifier discrete numeric.0 10319

3 R02 Sex of the household member discrete numeric.2 10319

4 R03 Relationship of household member to the head of the household

discrete numeric.2 10319

5 R04 Residental status of household member

discrete numeric.2 10316 3

6 R05 Duration stay in the household in the last 12 months

discrete numeric.2 10309 10

7 R06 Main reasons for staying less than 12 months

discrete numeric.2 1224 9095

8 R06b Other reasons for staying less than 12 months

contin character 10319

9 R07 Age in completed years contin numeric.2 10146 173

10 R08a Day of birth discrete numeric.2 10144 175

11 R08b Month of birth discrete numeric.2 10144 175

12 R08c Year of birth discrete numeric.2 10145 174

13 R09 Marital status of household member

discrete numeric.2 6559 3760

14 R10 Have a birth certificate discrete numeric.2 6099 4220

15 batch_num Batch Number contin numeric.2 10319

16 s1aq9 Sample number discrete numeric.2 10319

File hsec2b

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 4680

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File hsec2b

# Name Label Type Format Valid Invalid Question

2 pid Individual indentifier discrete numeric.0 4680

3 R12 In which country was (name) born?

discrete numeric.2 4680

4 R12_oth Other (specify) discrete character 4680

5 R13 What nationality is (name)? discrete numeric.2 4680

6 R13_oth Other (specify) discrete character 4680

7 R13_1 Does (name) have a birth certificate?

discrete numeric.2 4519 161

8 R14a R14a When did(name) arrive to Uganda?

discrete numeric.2 3969 711

9 R14b R14a When did(name) arrive to Uganda?

discrete numeric.2 3971 709

10 R15 R15 Since arriving to Uganda, has (name) been registered with the GoU?

discrete numeric.2 4519 161

11 R16 R16 Why has(name) not registered?

discrete numeric.2 203 4477

12 R16_oth Other (specify) discrete character 4680

13 R17 R17 Does (name) have any relatives still living in country of origin?

discrete numeric.2 4519 161

14 R18 R18 Would (name) like to go back to his/her country of origin after the c

discrete numeric.2 1655 3025

15 R20 R20 Is this place (CURRENT PLACE OF RESIDENCE) the first place of residence in U

discrete numeric.2 4519 161

16 R21a R21a Which was (name) s first place of residence in Uganda?-District

discrete numeric.2 227 4453

17 R21b R21b Which was (name)'s first place of residence in Uganda?-Settlement

discrete numeric.2 228 4452

18 R21b_oth R21b Others Specify discrete character 4680

19 R22 R22 Was(name) displaced by the South Sudan Crisis (2013-2018)?

discrete numeric.2 3971 709

20 R23 R23 Was (name) displaced by the recent DRC Crisis (2017-2018)?

discrete numeric.2 1128 3552

21 batch_num Batch Number contin numeric.2 4680

22 s1aq9 Sample number discrete numeric.2 4680

23 interview__key Uinque 8-digit long identifier of the interview

contin character 4680

File hsec2c

# Name Label Type Format Valid Invalid Question

1 hh Unique 32-character long identifier of the interview

contin character 874

2 interview__key Uinque 8-digit long identifier of the interview

contin character 874

3 R00_ID1 PID of main respondent discrete character 874

4 R24 R24 Think about your life discrete numeric.2 873 1

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File hsec2c

# Name Label Type Format Valid Invalid Question

before moving to Uganda and the household you were a p

5 R25 R25 How many members are no longer part of your household?

discrete numeric.2 653 221

6 R26__1 Why?:They are still in country of origin

discrete numeric.2 484 390

7 R26__2 Why?:They are deceased discrete numeric.2 484 390

8 R26__3 Why?:They are missing discrete numeric.2 484 390

9 R26__4 Why?:They are imprisoned discrete numeric.2 484 390

10 R26__5 Why?:They are working/studying somewhere else

discrete numeric.2 484 390

11 R26__6 Why?:Marriage/divorce discrete numeric.2 484 390

12 R26__7 Why?:They joined a different household

discrete numeric.2 484 390

13 R26__8 Why?:They formed their own household

discrete numeric.2 484 390

14 R26__9 Why?:Other (specify) discrete numeric.2 484 390

15 R26_oth Others Specify discrete character 874

16 R27 R27 How many new members joined?

discrete numeric.2 653 221

17 R28 R28 What is your relationship to the previous household head?

discrete numeric.2 220 654

18 R29 R29 Who in your household did you come with?

discrete numeric.2 873 1

File hsec4

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 9132

2 pid Individual indentifier discrete numeric.0 9132

3 E01_idE RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

discrete character 9132

4 E02 Can Name read and write with understanding in any language?

discrete numeric.2 9132

5 E03 Has Name ever attended any formal school?

discrete numeric.2 9132

6 E04 What is the MAIN reason this hh member has not attended school?

discrete numeric.2 1489 7643

7 E04b OTHER-What is the MAIN reason this hh member has not attended school?

discrete character 9132

8 E05 What was the highest grade that Name completed

discrete numeric.2 3288 5844

9 E09 Why did [NAME] leave school?

discrete numeric.2 3288 5844

10 E09b OTHER-Why did this hh member leave school?

discrete character 9132

11 E12 What grade is [NAME] currently attending?

discrete numeric.2 4339 4793

-40-

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File hsec4

# Name Label Type Format Valid Invalid Question

12 E13 Who manages the school? discrete numeric.2 4339 4793

13 E13b OTHER-Who manages the school?

discrete character 9132

14 E57 Who manages the school? discrete numeric.2 2216 6916

15 batch_num Batch Number contin numeric.2 9132

16 s1aq9 Sample number discrete numeric.2 9132

File hsec5

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 10334

2 pid Individual indentifier discrete numeric.0 10334

3 HE01 RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

discrete character 10334

4 HE02 During the last 30 days, did [NAME] suffer from any illness or injury?

discrete numeric.2 10139 195

5 HE03 How many times did [NAME] fall sick during the last 30 days?

discrete numeric.2 2997 7337

6 HE04 For how many days did [NAME] suffer due to illness or injury during the last 30

discrete numeric.2 2997 7337

7 HE06__1 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

8 HE06__2 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

9 HE06__3 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

10 HE06__4 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

11 HE06__5 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

12 HE06__6 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

13 HE06__7 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

14 HE06__8 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

15 HE06__9 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

16 HE06__10 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

17 HE06__11 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

18 HE06__12 Can you describe the major discrete numeric.2 2997 7337

-41-

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File hsec5

# Name Label Type Format Valid Invalid Question

symptoms of the illness or injury that [NAME] primari

19 HE06__13 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

20 HE06__14 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

21 HE06__15 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

22 HE06__16 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

23 HE06__17 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

24 HE06__20 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

25 HE06__21 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

26 HE06__22 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

27 HE06__23 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

28 HE06__24 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

29 HE06__25 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

30 HE06__26 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

31 HE06__27 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

32 HE06__96 Can you describe the major symptoms of the illness or injury that [NAME] primari

discrete numeric.2 2997 7337

33 HE06b OTHER-Can you describe the major symptoms of the illness or injury that %rostert

contin character 10334

34 HE07 Was anyone consulted for the major illness or injury [NAME] suffered during the

discrete numeric.2 2997 7337

35 HE08 Why was no one consulted for [NAME’S] major illness?

discrete numeric.2 421 9913

36 HE08b OTHER-Why was no one consulted for Name major illness?

contin character 10334

37 HE09_1 HE09_1. Where did %rostertitle% go for the first consultation during the last 30

discrete numeric.2 2573 7761

38 HE09_2 HE09_2. Did %rostertitle% pay for the consultation?

discrete numeric.2 2573 7761

39 HE09_3 HE09_3. How much did %rostertitle% pay for the consultation (not including

discrete numeric.2 362 9972

-42-

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File hsec5

# Name Label Type Format Valid Invalid Question

medic

40 HE11 Distance to the place where consultation for [NAME] was first sought from?

discrete numeric.2 2573 7761

41 batch_num Batch Number contin numeric.2 10334

42 s1aq9 Sample number discrete numeric.2 10334

File hsec7a

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 4788

2 pid Individual indentifier discrete numeric.0 4788

3 E01 ID/NAME OF PERSON RESPONDING

discrete character 4788

4 CB12 Has [NAME] borrowed or got money in the last 12 months to be paid back later?

discrete numeric.2 4765 23

5 CB13 Has [NAME] borrowed or got goods on credit in the last 12 months?

discrete numeric.2 4765 23

6 CB14a Has [name] been paying back money during the last 12 months?

discrete numeric.2 4765 23

7 CB14b Has been paying back goods during the last 12 months?

discrete numeric.2 4765 23

8 CB15__1 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 822 3966

9 CB15__2 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 816 3972

10 CB15__3 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 816 3972

11 CB15__4 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 816 3972

12 CB15__5 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 813 3975

13 CB15__6 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 817 3971

14 CB15__7 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 816 3972

15 CB15__8 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 812 3976

16 CB15__9 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 814 3974

17 CB15__10 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 817 3971

18 CB15__11 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 810 3978

-43-

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File hsec7a

# Name Label Type Format Valid Invalid Question

19 CB15__96 Which of the following does [NAME] currently have from any financial institution

discrete numeric.2 812 3976

20 CB15b Other-Which of the following does [NAME] currently have from any financial insti

discrete character 4788

21 CB16__1 What is the source of the current loan /credit:Commercial bank

discrete numeric.2 520 4268

22 CB16__2 What is the source of the current loan /credit:Savings club

discrete numeric.2 520 4268

23 CB16__3 What is the source of the current loan /credit:Credit Institutions

discrete numeric.2 520 4268

24 CB16__4 What is the source of the current loan /credit:ROSCAs

discrete numeric.2 520 4268

25 CB16__5 What is the source of the current loan /credit:MDI

discrete numeric.2 520 4268

26 CB16__6 What is the source of the current loan /credit:Welfare fund

discrete numeric.2 520 4268

27 CB16__7 What is the source of the current loan /credit:SACCOs

discrete numeric.2 520 4268

28 CB16__8 What is the source of the current loan /credit:Investment club

discrete numeric.2 520 4268

29 CB16__9 What is the source of the current loan /credit:NGOs

discrete numeric.2 520 4268

30 CB16__10 What is the source of the current loan /credit:Burial societies

discrete numeric.2 520 4268

31 CB16__11 What is the source of the current loan /credit:ASCAs

discrete numeric.2 520 4268

32 CB16__12 What is the source of the current loan /credit:MFIs

discrete numeric.2 520 4268

33 CB16__13 What is the source of the current loan /credit:VSLAs

discrete numeric.2 520 4268

34 CB16__97 What is the source of the current loan /credit:None

discrete numeric.2 520 4268

35 CB16__96 What is the source of the current loan /credit:Other

discrete numeric.2 520 4268

36 CB16b Other-What is the source of the current loan /credit

contin character 4788

37 CB17 What was the main reason for seeking the loan/credit?

discrete numeric.2 520 4268

38 CB17b Other-What was the main reason for seeking the loan/credit?

discrete character 4788

39 CB18__1 Do you currently use this or have such an account:Savings account

discrete numeric.2 4755 33

40 CB18__2 Do you currently use this or have such an account:A fixed deposit account

discrete numeric.2 4752 36

41 CB18__3 Do you currently use this or have such an account:A joint account

discrete numeric.2 4748 40

42 CB18__4 Do you currently use this or have such an account:Current

discrete numeric.2 4744 44

-44-

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File hsec7a

# Name Label Type Format Valid Invalid Question

or cheque account

43 CB18__5 Do you currently use this or have such an account:ATM card/Debit card

discrete numeric.2 4744 44

44 CB18__6 Do you currently use this or have such an account:Credit card

discrete numeric.2 4742 46

45 CB18__7 Do you currently use this or have such an account:An investment Account e.g. Sha

discrete numeric.2 4744 44

46 CB18__8 Do you currently use this or have such an account:Personal loan

discrete numeric.2 4744 44

47 CB18__9 Do you currently use this or have such an account:Overdraft

discrete numeric.2 4742 46

48 CB18__10 Do you currently use this or have such an account:A mortgage or Lease

discrete numeric.2 4740 48

49 CB18__11 Do you currently use this or have such an account:Home improvement Loan

discrete numeric.2 4741 47

50 CB18__12 Do you currently use this or have such an account:Commercial Loan

discrete numeric.2 4737 51

51 CB18__13 Do you currently use this or have such an account:Money transfer services (Weste

discrete numeric.2 4741 47

52 CB18__14 Do you currently use this or have such an account:Mobile banking (Day to day ban

discrete numeric.2 4741 47

53 CB18__15 Do you currently use this or have such an account:Cell phone banking (with a ban

discrete numeric.2 4742 46

54 CB18__16 Do you currently use this or have such an account:Internet banking

discrete numeric.2 4738 50

55 CB18__96 Do you currently use this or have such an account:Other (Specify)

discrete numeric.2 4700 88

56 CB18b Other-Do you currently use this or have such an account

discrete character 4788

57 CB19__1 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 623 4165

58 CB19__2 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 606 4182

59 CB19__3 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 607 4181

60 CB19__4 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 606 4182

61 CB19__5 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 611 4177

62 CB19__6 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 611 4177

63 CB19__7 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 605 4183

-45-

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File hsec7a

# Name Label Type Format Valid Invalid Question

64 CB19__96 Which financial Institutions are you currently using for the products that you a

discrete numeric.2 601 4187

65 CB19b Other-Which financial Institutions are you currently using for the products that

discrete character 4788

66 batch_num Batch Number contin numeric.2 4788

67 s1aq9 Sample number discrete numeric.2 4788

File hsec7b

# Name Label Type Format Valid Invalid Question

1 hh Unique 32-character long identifier of the interview

contin character 2209

2 CB01_1__1 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

3 CB01_1__2 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

4 CB01_1__3 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

5 CB01_1__4 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

6 CB01_1__5 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

7 CB01_1__6 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

8 CB01_1__7 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

9 CB01_1__8 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

10 CB01_1__9 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

11 CB01_1__96 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1789 420

12 CB01_1b Other-household’s most important source of earnings during the last 12 months?

contin character 2209

13 CB01__1 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

14 CB01__2 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

15 CB01__3 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

16 CB01__4 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

17 CB01__5 What was the household’s most important source of

discrete numeric.2 1923 286

-46-

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File hsec7b

# Name Label Type Format Valid Invalid Question

earnings during the last 12 mo

18 CB01__6 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

19 CB01__7 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

20 CB01__8 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

21 CB01__9 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

22 CB01__96 What was the household’s most important source of earnings during the last 12 mo

discrete numeric.2 1923 286

23 CB01b Other-household’s most important source of earnings during the last 12 months?

contin character 2209

24 batch_num Batch Number contin numeric.2 2209

25 s1aq9 Sample number discrete numeric.2 2209

File hsec8

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 5030

2 pid Individual indentifier discrete numeric.0 5030

3 LB1 RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

discrete character 5030

4 LB13 LB13. Did %rostertitle% do any work for pay or profit, help without pay in house

discrete numeric.2 5020 10

5 LB14 LB14. What best describes (Names) situation at this time?

discrete numeric.2 2541 2489

6 LB2 LB2. What was %rostertitle%’s main employment status during the last 7 days

discrete numeric.2 2479 2551

7 LB3a What are your main tasks or duties?

contin character 5030

8 LB3_oneDigit Main Category- ISCO code discrete numeric.2 2478 2552

9 LB3_twoDigit SubCategory Level1 - ISCO code

discrete numeric.2 2478 2552

10 LB2_threeDigit

SubCategory Level2 - ISCO code

discrete numeric.2 2478 2552

11 LB2_fourDigit SubCategory Level3 - ISCO code

discrete numeric.2 2478 2552

12 LB2_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 3663 1367

13 LB4a LB4a What is the main economic activity of your place of work?

contin character 5030

14 LB4_oneDigit Main Category - ISIC code discrete numeric.2 2477 2553

15 LB4_twoDigit SubCategory level1 - ISIC discrete numeric.2 2476 2554

-47-

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File hsec8

# Name Label Type Format Valid Invalid Question

code

16 LB4_threeDigit

SubCategory level2 - ISIC code

discrete numeric.2 2475 2555

17 LB4_fourDigit SubCategory level3 - ISIC code

discrete numeric.2 2475 2555

18 LB4_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 3655 1375

19 LB5a LB5a How much was your last payment (cash and in-kind) for this work?

contin numeric.2 695 4335

20 LB5b LB5b Codes LB5b discrete numeric.2 696 4334

21 LB6 LB6 Has %rostertitle% received any skills or job training?

discrete numeric.2 624 4406

22 LB7 Type of skills discrete numeric.2 42 4988

23 LB7_oth Others Specify discrete character 5030

24 LB8 LB8 Who provided the training?

discrete numeric.2 42 4988

25 LB8_oth LB8 Others discrete character 5030

26 LB9 LB9. At the time of leaving the country where %rostertitle% lived before moving

discrete numeric.2 1511 3519

27 LB10a LB10a What was the nature of the work (for the main employment status) you did

contin character 5030

28 LB10_oneDigit

Main Category- ISCO code discrete numeric.2 786 4244

29 LB10_twoDigit

SubCategory Level1 - ISCO code

discrete numeric.2 786 4244

30 LB10_threeDigit

SubCategory Level2 - ISCO code

discrete numeric.2 786 4244

31 LB10_fourDigit

SubCategory Level3 - ISCO code

discrete numeric.2 786 4244

32 LB10_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 476 4554

33 LB11a LB11a What was the main economic activity of the place you worked at before movi

contin character 5030

34 LB11_oneDigit

Main Category - ISIC code discrete numeric.2 786 4244

35 LB11_twoDigit

SubCategory level1 - ISIC code

discrete numeric.2 786 4244

36 LB11_threeDigit

SubCategory level2 - ISIC code

discrete numeric.2 786 4244

37 LB11_fourDigit

SubCategory level3 - ISIC code

discrete numeric.2 786 4244

38 LB11_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 3642 1388

39 LB12a LB12a. What the economic sector you would like to be

contin character 5030

-48-

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File hsec8

# Name Label Type Format Valid Invalid Question

engaged in the future?

40 LB12_oneDigit

Main Category - ISIC code discrete numeric.2 1560 3470

41 LB12_twoDigit

SubCategory level1 - ISIC code

discrete numeric.2 1560 3470

42 LB12_threeDigit

SubCategory level2 - ISIC code

discrete numeric.2 1560 3470

43 LB12_fourDigit

SubCategory level3 - ISIC code

discrete numeric.2 1560 3470

44 LB12_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 981 4049

45 batch_num Batch Number contin numeric.2 5030

46 s1aq9 Sample number discrete numeric.2 5030

File hsec9

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 1987

2 HP3 HP3 Has your household ever received construction materials/shelter support?

discrete numeric.2 874 1113

3 HP3A HP3A Who gave you this support?

discrete numeric.2 426 1561

4 HP3A_oth Others Specify discrete character 1987

5 HC01 What is the occupancy tenure of the dwelling unit?

discrete numeric.2 1987

6 HC01b Other-What is the occupancy tenure of the dwelling unit?

discrete character 1987

7 HC02 What type of dwelling is it? discrete numeric.2 1987

8 HC02b Other-What type of dwelling is it?

discrete character 1987

9 HC03 How many rooms does your household use for sleeping?

discrete numeric.2 1987

10 HC04 Type of material mainly used for construction of the roof

discrete numeric.2 1987

11 HC04b Other-Type of material mainly used for construction of the roof

contin character 1987

12 HC05 Type of material mainly used for construction of the wall

discrete numeric.2 1986 1

13 HC05b Other-Type of material mainly used for construction of the wall

discrete character 1987

14 HC06 Type of material mainly used for construction of the floor

discrete numeric.2 1987

15 HC07 What is the household’s main source of water for DRINKING?

discrete numeric.2 1987

16 HC07b Other-What is the household’s main source of water for DRINKING?

discrete character 1987

17 HC08a Time taken to and from the discrete numeric.2 1703 284

-49-

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File hsec9

# Name Label Type Format Valid Invalid Question

source of drinking water

18 HC08b Waiting time at source of drinking water.

discrete numeric.2 1703 284

19 HC09 What is the distance to this source of water?

discrete numeric.2 1703 284

20 HC14 What type of toilet facility does this household mainly use?

discrete numeric.2 1987

21 HC14b Other-What type of toilet facility does this household mainly use?

discrete character 1987

22 HC15 Does the household share this toilet facility with other households?

discrete numeric.2 1861 126

23 HC16 With how many other households does this household share this toilet?

discrete numeric.2 730 1257

24 HC17 Does this household have a hand washing facility next to the toilet?

discrete numeric.2 1853 134

25 HC18 What source of energy does this household mainly use for lighting?

discrete numeric.2 1986 1

26 HC18b Other-What source of energy does this household mainly use for lighting?

contin character 1987

27 HC19c What is the MAIN reason why the household is not connected to the grid?

discrete numeric.2 1636 351

28 HC19c_o Other-What is the MAIN reason why the household is not connected to the grid?

discrete character 1987

29 HC19a__1 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

30 HC19a__2 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

31 HC19a__3 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

32 HC19a__4 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

33 HC19a__5 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

34 HC19a__6 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

35 HC19a__97 What are other different sources of electricity that you use in your household i

discrete numeric.2 31 1956

36 HC19b In the last 7days on average how many hours of electricity were available each d

discrete numeric.2 350 1637

37 HC19 What source of energy does this household mainly use for cooking?

discrete numeric.2 1986 1

38 HC19_o Other-What source of energy does this household mainly use for cooking?

discrete character 1987

-50-

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File hsec9

# Name Label Type Format Valid Invalid Question

39 HC20 If firewood What is the source?

discrete numeric.2 1386 601

40 HC20b Other-If firewood What is the source?

discrete character 1987

41 HC22 Distance to the source of firewood?

discrete numeric.2 1387 600

42 batch_num Batch Number contin numeric.2 1987

43 s1aq9 Sample number discrete numeric.2 1987

File hsec10

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 51974

2 ha01 Type of assets discrete numeric.0 51974

3 ha03 Does any member of your household own [ASSET] at present?

discrete numeric.2 51632 342

4 ha04a Person IDs of the owner(s) discrete numeric.0 8245 43729

5 ha04b Person IDs of the owner(s) discrete numeric.0 2818 49156

6 HA04__2 Person IDs of the owner(s) discrete character 51974

7 HA04__3 Person IDs of the owner(s) discrete character 51974

8 ha05 How many [ASSET] do(es) your household own at present?

discrete numeric.2 4931 47043

9 ha06 What is the Total estimated value of the assets owned at present

contin numeric.2 8245 43729

10 ha07 Did any member of your household own [ASSET] 12 months ago?

discrete numeric.2 51632 342

11 ha08a Person IDs of the owner(s) discrete character 51974

12 ha08b Person IDs of the owner(s) discrete numeric.0 2242 49732

13 HA08__2 Person IDs of the owner(s) discrete character 51974

14 HA08__3 Person IDs of the owner(s) discrete character 51974

15 ha09 How many [ASSET] did your household own 12 months ago?

discrete numeric.2 3982 47992

16 ha10 What is the Total estimated value of the assets owned 12 months ago

contin numeric.2 6800 45174

17 batch_num Batch Number contin numeric.2 51974

18 s1aq9 Sample number discrete numeric.2 51974

File hsec11

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 47976

2 Income_source__id

Item Description discrete numeric.0 47976

3 P15 Did you receive any income discrete numeric.2 47653 323

-51-

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File hsec11

# Name Label Type Format Valid Invalid Question

from [SOURCE]?

4 P13 Income amount from Item in CASH

contin numeric.2 3380 44596

5 P14 Income amount from in KIND contin character 47976

6 batch_num Batch Number contin numeric.2 47976

7 s1aq9 Sample number discrete numeric.2 47976

File hsec13a

# Name Label Type Format Valid Invalid Question

1 hh Household Identifier contin character 2000

2 NA1a Does any member of your household own a non-agricultural business or provided a

discrete numeric.2 1987 13

3 NA1b Household processes & sell agric by-products, including flour, starch,juice,

discrete numeric.2 1987 13

4 NA1c Any member of your household own a trading business on a street or in a markjet

discrete numeric.2 1986 14

5 NA1d offer any service or sold anything on a street or in a market, including firewoo

discrete numeric.2 1987 13

6 NA1e Any member of your household own a professional office or offered professional s

discrete numeric.2 1986 14

7 NA1f Does any member of your household drive a household-owned taxi or pick-up truck

discrete numeric.2 1986 14

8 NA1g Does any member of your household own a bar or restaurant?

discrete numeric.2 1987 13

9 NA1h Does any member of your household own any other non-agricultural business, even

discrete numeric.2 1987 13

File hsec13b

# Name Label Type Format Valid Invalid Question

1 HH_Enterprize__id

HH_Enterprize__id discrete numeric.0 509

2 N00 Enterprise ID contin character 509

3 N01 Please describe the enterprise in more detail

contin character 509

4 N02_oneDigit One-digit ISIC code discrete numeric.2 508 1

5 N02_twoDigit Two-digit ISIC code discrete numeric.2 508 1

6 N02_threeDigit

Three-digit ISIC code discrete numeric.2 508 1

7 N02_fourDigit Four-digit ISIC code discrete numeric.2 508 1

8 N02_superConfirm

SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

discrete numeric.2 205 304

-52-

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File hsec13b

# Name Label Type Format Valid Invalid Question

9 N03 ID code/name of person responsible

discrete character 509

10 N04 Year started discrete numeric.2 509

11 N15 Where is this [BUSINESS] located?

discrete numeric.2 509

12 N08__0 Which people in the household work in this enterprise/activity

discrete character 509

13 N08__1 Which people in the household work in this enterprise/activity

discrete character 509

14 N08__2 Which people in the household work in this enterprise/activity

discrete character 509

15 N08__3 Which people in the household work in this enterprise/activity

discrete character 509

16 N08__4 Which people in the household work in this enterprise/activity

discrete character 509

17 N09 In the past 12 months, how many months did the enterprise operate?

discrete numeric.2 509

18 N10 What is/was the average monthly gross revenues during the months when the enterp

contin numeric.2 508 1

19 N10_1 N10_1. In the last month, who were the most frequent customers of the %rostertit

discrete numeric.2 509

20 N10_1b N10_1b. In the last month, who were the most frequent customers of the %rosterti

contin character 509

21 N11A Number of PAID people enterprise hires during a month enterprise was operating

discrete numeric.2 509

22 N11B Number of UNPAID people enterprise hires during a month enterprise was operatg

discrete numeric.2 509

23 N11_c N11_c For the most part, which country are they from?

discrete numeric.2 504 5

24 N12 What is/was the average expenditure on wages during that month?

discrete numeric.2 166 343

25 N13 What is/was the average expenditure on raw materials during that month?

contin numeric.2 509

26 N14 Other operating expenses such as fuel, kerosene, electricity etc during that mon

discrete numeric.2 509

27 hh Household Identifier contin character 509

28 batch_num Batch Number contin numeric.2 509

29 s1aq9 Sample number discrete numeric.2 509

File hsec15a

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 3965

2 batch_num Batch Number contin numeric.2 3965

3 s1aq9 Sample number discrete numeric.2 3965

4 HH_numbers__ discrete numeric.0 3965

-53-

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File hsec15a

# Name Label Type Format Valid Invalid Question

id

5 CEA01A Number of people present for selected category in the last7 days (Male adults)

discrete numeric.0 3963 2

6 CEA01B Number of people present for selected category in the last7 days (Female adults)

discrete numeric.0 3964 1

7 CEA01C Number of people present for selected category in the last7 days(Male children)

discrete numeric.0 3962 3

8 CEA01D Number of people present for selected category in the last7 day(Female children)

discrete numeric.0 3960 5

File hsec15b

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 28225

2 CEB01 Item description contin character 28225

3 itmcd Item Code discrete numeric.0 28225

4 untcd Unit of Qty discrete numeric.0 27803 422

5 CEB04 Quantity of hhold [item] purchased for consumptn at home during the last 7 days

contin numeric.1 21500 6725

6 CEB05 What is the total Value for [item] purchased for consumption at home

contin numeric.0 14572 13653

7 CEB06 Quantity of hhold [item] purchasd for consumptn Away from home during last7 days

discrete numeric.1 4393 23832

8 CEB07 What is the total Value for [item] purchased for consumptn Away from home

contin numeric.0 4632 23593

9 CEB08 Quantity consumed out of home produce during the last 7 days?

contin numeric.1 3176 25049

10 CEB09 Total Value for [item] consumed out of Home produce during the last 7 days .

contin numeric.0 3174 25051

11 CEB10 Quantity of [item] your household RECEIVED INKIND/FREE during the last 7 days

contin numeric.1 5375 22850

12 CEB11 Total value of [item] Received in kind if it were sold in the market

contin numeric.0 5426 22799

13 CEB012 Quantity of [item] your household RECEIVED INKIND/FREE during the last 7 days

discrete numeric.1 860 27365

14 CEB013 Total value of [item] Received in kind if it were sold in the market

discrete numeric.0 860 27365

15 CEB14a Market price for purchasing [item] for consumption at home per unit of consumptn

discrete numeric.0 3793 24432

16 CEB14b Market price for purchasg[item] for consumptn Away from home per unit of consmpn

discrete numeric.0 60 28165

-54-

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File hsec15b

# Name Label Type Format Valid Invalid Question

17 CEB14c Price of [item] if you were to sell it in the market per unit of consump

discrete numeric.0 860 27365

18 CEB15 Farm gate/producer price per unit of consumption

discrete numeric.0 2369 25856

19 interview__key contin character 28225

20 CEB3B How many days were [ITEM] consumed out of the last 7 days?

discrete numeric.0 21291 6934

21 CEB12a Market price for purchasing [item] for consumption at home per unit of consumptn

contin numeric.0 14571 13654

22 CEB12b Market price for purchasg[item] for consumptn Away from home per unit of consmpn

discrete numeric.0 404 27821

23 CEB13 Farm gate/producer price per unit of consumption

contin numeric.0 2829 25396

24 CEB12c Price of [item] if you were to sell it in the market per unit of consump

contin numeric.0 2978 25247

File hsec15c

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 16094

2 CEC01 Item description discrete character 16094

3 itmcd Item Code discrete numeric.0 16094

4 untcd Unit of Quantity discrete numeric.2 15518 576

5 CEC04 Qty purchased contin numeric.1 3585 12509

6 CEC05 Value purchased contin numeric.0 10915 5179

7 CEC06 home produced Qty for item discrete numeric.1 215 15879

8 CEC07 home produced Valuefor item contin numeric.0 1512 14582

9 CEC08 Qty received inkind for item discrete numeric.1 1044 15050

10 CEC09 Qty received inkind Value for item

contin numeric.0 4169 11925

11 CEC10 Unit Price for item contin numeric.0 4115 11979

12 CEC10_1 Unit Price for item contin numeric.0 3586 12508

File hsec15d

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 15554

2 itmcd Item Code discrete numeric.0 15554

3 coicop_1 Classification of consumption by purpose:division

discrete numeric.0 15554

4 coicop_2 Classification of consumption by purpose:group

discrete numeric.0 15554

5 coicop_3 Classification of consumption by purpose:Class

discrete numeric.0 15554

-55-

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File hsec15d

# Name Label Type Format Valid Invalid Question

6 coicop_6 Classification of consumption by purpose

discrete numeric.0 15554

7 CED01 Item description contin character 15554

8 CED03 Purchases Value for item contin numeric.0 14252 1302

9 CED04 Consumption out of household /enterprise stock Value

discrete numeric.0 63 15491

10 CED05 Received in-kind/Free Value contin numeric.0 2131 13423

11 consumed_365 contin numeric.0 15440 114

File hsec15e

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 745

2 CEE01 Item description discrete character 745

3 CEE02 Item Code discrete numeric.0 745

4 CEE03 Value contin numeric.2 738 7

File hsec22

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 571

2 InkindREMITTANCES__id

discrete numeric.0 571

3 InkindOthers1 Others Specify discrete character 571

4 RM10__0 Who in the household received item?

discrete character 571

5 RM10__1 Who in the household received item?

discrete character 571

6 RM10__2 Who in the household received item?

discrete character 571

7 RM11 RM11. Where did items in kind originate?

discrete numeric.2 568 3

8 RM11_oth RM11. Others Specify discrete character 571

9 RM12 RM12. Total value recieved in the last 12 months?

contin numeric.0 568 3

10 RM13 RM13. How often does %rostertitle% receive transfers?

discrete numeric.2 568 3

11 RM14 RM14 Through what channels does %rostertitle% receive

discrete numeric.2 568 3

12 RM14_oth RM14 Others Specify contin character 571

13 RM15 RM15 What was the main purpose of the %rostertitle% received?

discrete numeric.2 568 3

14 RM15_oth RM15 Others Specify contin character 571

15 batch_num Batch Number contin numeric.2 571

16 s1aq9 Sample number discrete numeric.2 571

-56-

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File hsec22a

# Name Label Type Format Valid Invalid Question

1 hh InterviewId contin character 4780

2 pid Individual indentifier discrete numeric.0 4780

3 R01_8 RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

discrete character 4780

4 RM1 RM3 Did %rostertitle% receive money/personal transfers in the last 12 months?

discrete numeric.2 4780

5 RM2 RM2 Type of personal transfer discrete numeric.2 642 4138

6 RM2_1 RM2_1. Where did the transfer originate?

discrete numeric.2 582 4198

7 RM2_1oth Others Specify discrete character 4780

8 RM3 RM3 How much money in total did %rostertitle% receive in the last 12 months?

contin numeric.2 582 4198

9 RM4 RM4 How often does %rostertitle% receive money?

discrete numeric.2 582 4198

10 RM4_oth RM4 Other Specify discrete character 4780

11 RM5 RM5 Through what channels does %rostertitle% receive the money?

discrete numeric.2 582 4198

12 RM5_oth RM5 Others Specify discrete character 4780

13 RM6 RM6 What was the main purpose of the money received?

discrete numeric.2 582 4198

14 RM6_oth RM6 Others Specify discrete character 4780

15 batch_num Batch Number contin numeric.2 4780

16 s1aq9 Sample number discrete numeric.2 4780

File pov_2018_share

# Name Label Type Format Valid Invalid Question

1 HHID Household Identifier contin character 1977

2 ea batch_num contin numeric.0 1977

3 district discrete numeric.0 1977

4 urban Urban discrete numeric.0 1977

5 region Region discrete numeric.0 1977

6 equiv (sum) equiv contin numeric.0 1977

7 hsize (sum) hsize discrete numeric.0 1977

8 poor_2018 Poverty status discrete numeric.0 1977

9 fpoor_2018 food Poor in 2018 based on welfare variable

discrete numeric.0 1977

10 quints Quintiles based on the national population

discrete numeric.0 1977

11 rquints Quintiles based on the rural population

discrete numeric.0 1154 823

12 uquints Quintiles based on the urban population

discrete numeric.0 823 1154

-57-

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File weights

# Name Label Type Format Valid Invalid Question

1 HHID Household ID contin character 10138

2 batch_num Batch number contin numeric.2 10138

3 weight Household weight contin numeric.0 10138

4 HHSIZE Number of regular and usual HH members

discrete numeric.0 10138

5 REFUGEE Is refugee, using s1aq15 discrete numeric.0 10138

-58-

Page 59: UGA 2018 RHCS v01 M

Variable DescriptionDataset contains 915 variable(s)

File agsec_1

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# prcid: Parcel identifier

Information [Type= discrete] [Format= numeric] [Range= 1-6] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=1.37054918527459 /-] [StDev=0.70044964864771 /-]

Literal Question Parcel Number

Value Label Cases Percentage

1 1200 72.42%

2 340 20.51%

3 90 5.43%

4 17 1.02%

5 7 0.42%

6 3 0.18%

# Parcel: Parcel name

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Parcel name

# useRights: Do you own or have user rights to the %Parcel_Roster% parcel

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1636 /-] [Invalid=21 /-] [Mean=1.32885085574572 /-] [StDev=0.469939315236961 /-]

Literal Question Do you own or have user rights to the parcel

Value Label Cases Percentage

1 Own 1098 66.26%

2 Use rights 538 32.46%

NA 21 1.26%

# areaParcel: What's the area of %Parcel_Roster% ?

Information [Type= contin] [Format= numeric] [Range= 0-800] [Missing=*]

Statistics [NW/ W] [Valid=1636 /-] [Invalid=21 /-] [Mean=2.50927139364303 /-] [StDev=21.1916110374312 /-]

Literal Question What's the area of this [PARCEL]?

# acquirep: How did you acquire these %rostertitle% ?

Information [Type= discrete] [Format= numeric] [Range= 1-97] [Missing=*]

Statistics [NW/ W] [Valid=1637 /-] [Invalid=20 /-] [Mean=3.90653634697618 /-] [StDev=7.8914045987395 /-]

Literal Question How did you acquire these parcels?

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Value Label Cases Percentage

1 purchased 257 15.5%

2 inherited or received as gift 801 48.34%

3 leased-in 35 2.11%

4 just walked in 3 0.18%

6 received from the government for the refugee status 360 21.72%

7 agreement with land/use rights owner (user rights) 158 9.53%

8 without agreement with land/use rights owner (user rights)

12 0.72%

96 Other (specify) 10 0.6%

97 Don’t know 1 0.06%

NA 20 1.2%

# acquire_oth: How did you acquire these parcels? Others

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question How did you acquire these parcels?

Value Label Cases Percentage

1642 99.09%

##N/A## 5 0.3%

church property

1 0.06%

family land 1 0.06%

FAMILY LAND

1 0.06%

Hired from the national

1 0.06%

Hiring every croping season

1 0.06%

rented 3 0.18%

Rented 2 0.12%

# cultivate: Did you cultivate in %rostertitle% during the past cropping season?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1637 /-] [Invalid=20 /-] [Mean=1.20586438607208 /-] [StDev=0.404455399100667 /-]

Literal Question Did you cultivate in this [PARCEL] during the past cropping season?

Post-Question Text No>>Next parcel

Value Label Cases Percentage

1 Yes 1300 78.45%

2 No 337 20.33%

NA 20 1.2%

# waterSource: What is the main water source to %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=1.99692307692308 /-] [StDev=0.117674713465296 /-]

Literal Question What is the main water source to this parcel?

Value Label Cases Percentage

1 Irrigated 11 0.66%

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Value Label Cases Percentage

2 Rain-fed 1282 77.36%

3 Swamp/wetland 7 0.42%

NA 357 21.54%

# SECTION_AGcrops__310: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.121538461538462 /-] [StDev=0.326877737826345 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1142 68.91%

1 yes 158 9.53%

NA 357 21.54%

# SECTION_AGcrops__130: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.566923076923077 /-] [StDev=0.495691748676222 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 563 33.97%

1 yes 737 44.47%

NA 357 21.54%

# SECTION_AGcrops__210: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.403076923076923 /-] [StDev=0.490704739241906 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 776 46.83%

1 yes 524 31.62%

NA 357 21.54%

# SECTION_AGcrops__620: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.102307692307692 /-] [StDev=0.303169143513924 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1167 70.42%

1 yes 133 8.02%

NA 357 21.54%

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# SECTION_AGcrops__630: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.263846153846154 /-] [StDev=0.440886475982435 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 957 57.75%

1 yes 343 20.7%

NA 357 21.54%

# SECTION_AGcrops__741: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0592307692307692 /-] [StDev=0.236146949280585 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1223 73.8%

1 yes 77 4.64%

NA 357 21.54%

# SECTION_AGcrops__640: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00230769230769231 /-] [StDev=0.0480014507982324 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1297 78.27%

1 yes 3 0.18%

NA 357 21.54%

# SECTION_AGcrops__420: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0192307692307692 /-] [StDev=0.137388013796876 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1275 76.94%

1 yes 25 1.5%

NA 357 21.54%

# SECTION_AGcrops__710: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.000769230769230769 /-] [StDev=0.0277350098112615 /-]

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Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1299 78.39%

1 yes 1 0.06%

NA 357 21.54%

# SECTION_AGcrops__450: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00692307692307692 /-] [StDev=0.0829484211759976 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1291 77.91%

1 yes 9 0.54%

NA 357 21.54%

# SECTION_AGcrops__742: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.000769230769230769 /-] [StDev=0.0277350098112615 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1299 78.39%

1 yes 1 0.06%

NA 357 21.54%

# SECTION_AGcrops__744: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00230769230769231 /-] [StDev=0.0480014507982324 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1297 78.27%

1 yes 3 0.18%

NA 357 21.54%

# SECTION_AGcrops__812: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00153846153846154 /-] [StDev=0.0392081266509356 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1298 78.33%

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Value Label Cases Percentage

1 yes 2 0.12%

NA 357 21.54%

# SECTION_AGcrops__320: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00538461538461538 /-] [StDev=0.0732102737456642 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1293 78.03%

1 yes 7 0.42%

NA 357 21.54%

# SECTION_AGcrops__610: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0307692307692308 /-] [StDev=0.172758337686962 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1260 76.04%

1 yes 40 2.41%

NA 357 21.54%

# SECTION_AGcrops__811: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00153846153846154 /-] [StDev=0.0392081266509356 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1298 78.33%

1 yes 2 0.12%

NA 357 21.54%

# SECTION_AGcrops__410: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00846153846153846 /-] [StDev=0.0916318699870486 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1289 77.79%

1 yes 11 0.66%

NA 357 21.54%

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# SECTION_AGcrops__490: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00153846153846154 /-] [StDev=0.0392081266509356 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1298 78.33%

1 yes 2 0.12%

NA 357 21.54%

# SECTION_AGcrops__790: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__510: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00230769230769231 /-] [StDev=0.0480014507982324 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1297 78.27%

1 yes 3 0.18%

NA 357 21.54%

# SECTION_AGcrops__530: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0176923076923077 /-] [StDev=0.131881268256407 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1277 77.06%

1 yes 23 1.38%

NA 357 21.54%

# SECTION_AGcrops__890: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.01 /-] [StDev=0.0995370345505288 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

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Value Label Cases Percentage

no 1287 77.67%

1 yes 13 0.78%

NA 357 21.54%

# SECTION_AGcrops__720: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00153846153846154 /-] [StDev=0.0392081266509356 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1298 78.33%

1 yes 2 0.12%

NA 357 21.54%

# SECTION_AGcrops__222: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0115384615384615 /-] [StDev=0.106836817272699 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1285 77.54%

1 yes 15 0.9%

NA 357 21.54%

# SECTION_AGcrops__440: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0107692307692308 /-] [StDev=0.10325432464323 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1286 77.61%

1 yes 14 0.84%

NA 357 21.54%

# SECTION_AGcrops__780: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__770: Please select all crops grown on %rostertitle% in the second cropping season of

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Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00461538461538462 /-] [StDev=0.0678057480645903 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1294 78.09%

1 yes 6 0.36%

NA 357 21.54%

# SECTION_AGcrops__760: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00461538461538462 /-] [StDev=0.0678057480645903 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1294 78.09%

1 yes 6 0.36%

NA 357 21.54%

# SECTION_AGcrops__750: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00461538461538462 /-] [StDev=0.0678057480645903 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1294 78.09%

1 yes 6 0.36%

NA 357 21.54%

# SECTION_AGcrops__470: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00769230769230769 /-] [StDev=0.0874014431113692 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1290 77.85%

1 yes 10 0.6%

NA 357 21.54%

# SECTION_AGcrops__840: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

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Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__120: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.02 /-] [StDev=0.140053877238862 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1274 76.88%

1 yes 26 1.56%

NA 357 21.54%

# SECTION_AGcrops__141: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0346153846153846 /-] [StDev=0.182873959489899 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1255 75.73%

1 yes 45 2.71%

NA 357 21.54%

# SECTION_AGcrops__810: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00615384615384615 /-] [StDev=0.0782348039573549 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1292 77.97%

1 yes 8 0.48%

NA 357 21.54%

# SECTION_AGcrops__150: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0838461538461538 /-] [StDev=0.277263612888808 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1191 71.87%

1 yes 109 6.57%

NA 357 21.54%

# SECTION_AGcrops__870: Please select all crops grown on %rostertitle% in the second cropping season of

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Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__340: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.0776923076923077 /-] [StDev=0.267789797442655 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1199 72.35%

1 yes 101 6.09%

NA 357 21.54%

# SECTION_AGcrops__650: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__460: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00923076923076923 /-] [StDev=0.0956692353565719 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1288 77.73%

1 yes 12 0.72%

NA 357 21.54%

# SECTION_AGcrops__480: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

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Value Label Cases Percentage

NA 357 21.54%

# SECTION_AGcrops__700: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__520: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00384615384615385 /-] [StDev=0.0619218088907015 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1295 78.15%

1 yes 5 0.3%

NA 357 21.54%

# SECTION_AGcrops__330: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00307692307692308 /-] [StDev=0.0554059294571322 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1296 78.21%

1 yes 4 0.24%

NA 357 21.54%

# SECTION_AGcrops__224: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__221: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00384615384615385 /-] [StDev=0.0619218088907015 /-]

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Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1295 78.15%

1 yes 5 0.3%

NA 357 21.54%

# SECTION_AGcrops__223: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0.00230769230769231 /-] [StDev=0.0480014507982324 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1297 78.27%

1 yes 3 0.18%

NA 357 21.54%

# SECTION_AGcrops__112: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__820: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__430: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__111: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

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Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# SECTION_AGcrops__830: Please select all crops grown on %rostertitle% in the second cropping season of

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=1300 /-] [Invalid=357 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Please list all crops grown on this parcel in the second cropping season of 2017 (July-December 2017)

Value Label Cases Percentage

no 1300 78.45%

NA 357 21.54%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=110.240193120097 /-] [StDev=55.1876049582285 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=1657 /-] [Invalid=0 /-] [Mean=5.42546771273386 /-] [StDev=2.87932045275257 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 173 10.44%

2 164 9.89%

3 174 10.5%

4 177 10.68%

5 169 10.19%

6 165 9.95%

7 147 8.87%

8 162 9.77%

9 161 9.71%

10 165 9.95%

File agsec_2

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Household Identifier

# prcid: Parcel identifier

Information [Type= discrete] [Format= numeric] [Range= 1-6] [Missing=*]

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Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=1.28374655647383 /-] [StDev=0.612988912303666 /-]

Literal Question Parcel Number

Value Label Cases Percentage

1 1975 77.72%

2 453 17.82%

3 87 3.42%

4 16 0.62%

5 4 0.15%

6 6 0.23%

# SECTION_AG__id:

Information [Type= discrete] [Format= numeric] [Range= 120-890] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=322.329791420701 /-] [StDev=216.718066456531 /-]

Value Label Cases Percentage

120 28 1.1%

130 745 29.31%

141 45 1.77%

150 112 4.4%

210 528 20.77%

221 5 0.19%

222 15 0.59%

223 3 0.11%

310 160 6.29%

320 8 0.31%

330 4 0.15%

340 104 4.09%

410 11 0.43%

420 26 1.02%

440 14 0.55%

450 11 0.43%

460 12 0.47%

470 10 0.39%

490 2 0.07%

510 4 0.15%

520 5 0.19%

530 24 0.94%

610 40 1.57%

620 135 5.31%

630 348 13.69%

640 4 0.15%

710 2 0.07%

720 2 0.07%

741 79 3.1%

742 2 0.07%

744 3 0.11%

750 7 0.27%

760 7 0.27%

770 7 0.27%

810 8 0.31%

811 2 0.07%

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Value Label Cases Percentage

812 2 0.07%

820 1 0.03%

890 16 0.62%

# seedlings: Did you use seed/seedlings on %rostertitle% ?

Information [Type= discrete] [Format= numeric] [Range= 1-6] [Missing=*]

Statistics [NW/ W] [Valid=2492 /-] [Invalid=49 /-] [Mean=3.55497592295345 /-] [StDev=2.01852801781732 /-]

Literal Question Did you use seed/seedlings on [CROP]?

Value Label Cases Percentage

1 Yes, purchased 886 34.86%

2 Yes, from Refugee support package/UNHCR/Relief assistance

85 3.34%

3 Yes Both(purchased and Refugee support package/UNHCR/Relief assistance

13 0.51%

4 No 68 2.67%

5 Own seed 1148 45.17%

6 Neibour/ friend 292 11.49%

NA 49 1.92%

# pesticides: Did you use pesticides on %rostertitle% ?

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=2494 /-] [Invalid=47 /-] [Mean=3.7794707297514 /-] [StDev=0.78817700099853 /-]

Literal Question Did you use pesticides on [CROP]?

Value Label Cases Percentage

1 Yes, purchased 181 7.12%

2 Yes, from Refugee support package/UNHCR/Relief assistance

7 0.27%

3 Both 3 0.11%

4 No 2293 90.24%

5 Neibour/ friend 10 0.39%

NA 47 1.84%

# irrigated: How was %rostertitle% irrigated?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=2494 /-] [Invalid=47 /-] [Mean=1.08179631114675 /-] [StDev=2.69206568091781 /-]

Literal Question How was [CROP] irrigated?

Value Label Cases Percentage

1 Rain-fed 2486 97.83%

3 Sprinkler 4 0.15%

4 Surface 2 0.07%

96 Other(specify) 2 0.07%

NA 47 1.84%

# irrigatedOthers: Others

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question How was [CROP] irrigated? - Other(specify)

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Value Label Cases Percentage

2539 99.92%

Using water from river

2 0.07%

# fertilizers: Did you use fertilizers on %rostertitle% ?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=2494 /-] [Invalid=47 /-] [Mean=3.86206896551724 /-] [StDev=0.593639141617584 /-]

Literal Question Did you use fertilizers on [CROP]

Value Label Cases Percentage

1 Yes, organic 84 3.3%

2 Yes inorganic 39 1.53%

3 Yes, organic and inorganic 14 0.55%

4 No 2357 92.75%

NA 47 1.84%

# labour: Did you use hired labor?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2494 /-] [Invalid=47 /-] [Mean=1.785084202085 /-] [StDev=0.410846294890798 /-]

Literal Question Did you use hired labor?

Value Label Cases Percentage

1 Yes 536 21.09%

2 No 1958 77.05%

NA 47 1.84%

# Qty: How much of %rostertitle% was harvested (Quatity)

Information [Type= contin] [Format= numeric] [Range= 0-12000] [Missing=*]

Statistics [NW/ W] [Valid=2462 /-] [Invalid=79 /-] [Mean=26.2450040617384 /-] [StDev=294.662037384043 /-]

Literal Question How much of [CROP] was harvested - Qty

# Unit_measure: How much of %rostertitle% was harvested (Unit measure)

Information [Type= discrete] [Format= numeric] [Range= 1-94] [Missing=*]

Statistics [NW/ W] [Valid=2344 /-] [Invalid=197 /-] [Mean=17.5209044368601 /-] [StDev=17.1969457988014 /-]

Literal Question How much of [CROP] was harvested - Unit of measure

Value Label Cases Percentage

1 Kilogram (KG) 213 8.38%

9 Sack (120 kgs) 278 10.94%

10 Sack (100 kgs) 766 30.14%

12 Sack (50 kgs) 310 12.19%

14 Jerrican (20 lts) 10 0.39%

15 Jerrican(10 lts) 1 0.03%

16 Jerrican (5 lts) 1 0.03%

20 Tin (20 lts) 13 0.51%

21 Tin (5 lts) 5 0.19%

22 Plastic Basin (15 lts) 432 17%

30 Kimbo/Cowboy/Blueband Tin (1 kg) 6 0.23%

32 Cup/Mug(0.5 lt) 1 0.03%

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Value Label Cases Percentage

37 Basket (20 kg) 84 3.3%

38 Basket (10 kg) 53 2.08%

39 Basket (5 kg) 36 1.41%

40 Basket (2 kg) 9 0.35%

67 Bunch (Big) 10 0.39%

68 Bunch (Medium) 45 1.77%

69 Bunch (Small) 12 0.47%

83 Tobacco leaf (Number) 1 0.03%

87 Piece (Large) 6 0.23%

88 Piece (Medium) 16 0.62%

89 Piece (Small) 1 0.03%

90 Heap (Large) 18 0.7%

91 Heap (Medium) 10 0.39%

92 Heap (Small) 6 0.23%

94 Cluster (Medium) 1 0.03%

NA 197 7.75%

# conditionState: In what state was %rostertitle% harvested (condition State)

Information [Type= discrete] [Format= numeric] [Range= 11-99] [Missing=*]

Statistics [NW/ W] [Valid=2400 /-] [Invalid=141 /-] [Mean=31.0666666666667 /-] [StDev=18.7627442678503 /-]

Literal Question How much of [CROP] was harvested - Condition/State

Value Label Cases Percentage

11 Green harvested - with shell/cob and with stalk 57 2.24%

12 Green harvested - with shell/cob without stalk 91 3.58%

13 Green harvested - in the cob 132 5.19%

14 Green harvested - in the pods 119 4.68%

20 Fresh/raw harvested - state not applicable 551 21.68%

21 Fresh/raw harvested - with shell/cob and with stalk 25 0.98%

22 Fresh/raw harvested - with shell/cob without stalk 71 2.79%

23 Fresh/raw harvested - in the cob 69 2.71%

24 Fresh/raw harvested - in pods 174 6.84%

31 Dry at harvest - with shell/cob and with stalk 18 0.7%

32 Dry at harvest - with shell 70 2.75%

33 Dry at harvest - in the cob 74 2.91%

35 Dry at harvest - grain 287 11.29%

40 Dry after additional drying - state not applicable 68 2.67%

41 Dry after additional drying - with shell and with stalk 6 0.23%

42 Dry after additional drying - with shell 34 1.33%

43 Dry after additional drying - in the cob 39 1.53%

44 Dry after additional drying - In pods or shell/husks 98 3.85%

45 Dry - grain 303 11.92%

99 Not Applicable 114 4.48%

NA 141 5.54%

# Conversion: How much of %rostertitle% was harvested (Conversion KG)

Information [Type= contin] [Format= numeric] [Range= 0-20000] [Missing=*]

Statistics [NW/ W] [Valid=2459 /-] [Invalid=82 /-] [Mean=152.252948352989 /-] [StDev=852.380837546031 /-]

Literal Question How much of [CROP] was harvested - Conversion (Kg)

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# consume: Did the household consume a portion of the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2462 /-] [Invalid=79 /-] [Mean=1.11088545897644 /-] [StDev=0.314054031758303 /-]

Literal Question Did the household consume a portion of the [CROP]

Value Label Cases Percentage

1 Yes 2189 86.14%

2 No 273 10.74%

NA 79 3.1%

# sell: Did the household sell a portion of the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2463 /-] [Invalid=78 /-] [Mean=1.51360129922858 /-] [StDev=0.499916466001698 /-]

Literal Question Did the household sell a portion of the [crop]?

Value Label Cases Percentage

1 Yes 1198 47.14%

2 No 1265 49.78%

NA 78 3.06%

# statenumber2: Was the %rostertitle% harvested in the second state?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2463 /-] [Invalid=78 /-] [Mean=1.77060495330897 /-] [StDev=0.420529142624787 /-]

Literal Question How much of [CROP] was harvested

Value Label Cases Percentage

1 Yes 565 22.23%

2 No 1898 74.69%

NA 78 3.06%

# Qty2: How much of %rostertitle% was harvested (Quatity)

Information [Type= discrete] [Format= numeric] [Range= 0.5-2000] [Missing=*]

Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=15.5163716814159 /-] [StDev=108.49384857764 /-]

Literal Question How much of [CROP] was harvested - Quantity

Value Label Cases Percentage

0.5 4 0.15%

1 201 7.91%

1.25 1 0.03%

1.5 22 0.86%

2 130 5.11%

2.5 6 0.23%

3 50 1.96%

3.5 1 0.03%

4 27 1.06%

4.5 1 0.03%

5 21 0.82%

6 12 0.47%

7 8 0.31%

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Value Label Cases Percentage

7.5 1 0.03%

8 4 0.15%

9 3 0.11%

10 10 0.39%

12 5 0.19%

14 1 0.03%

15 3 0.11%

16 1 0.03%

18 4 0.15%

20 7 0.27%

25 5 0.19%

30 3 0.11%

35 2 0.07%

40 2 0.07%

46 1 0.03%

50 5 0.19%

56 1 0.03%

60 1 0.03%

65 1 0.03%

70 2 0.07%

80 3 0.11%

100 3 0.11%

110 1 0.03%

120 1 0.03%

150 4 0.15%

200 1 0.03%

240 2 0.07%

270 1 0.03%

500 1 0.03%

1440 1 0.03%

2000 1 0.03%

NA 1976 77.76%

# Unit_measure2: How much of %rostertitle% was harvested (Unit measure)

Information [Type= discrete] [Format= numeric] [Range= 1-88] [Missing=*]

Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=13.1946902654867 /-] [StDev=9.09412795413024 /-]

Literal Question How much of [CROP] was harvested - Unit of measure

Value Label Cases Percentage

1 Kilogram (KG) 31 1.21%

9 Sack (120 kgs) 52 2.04%

10 Sack (100 kgs) 278 10.94%

12 Sack (50 kgs) 87 3.42%

14 Jerrican (20 lts) 5 0.19%

20 Tin (20 lts) 2 0.07%

22 Plastic Basin (15 lts) 80 3.14%

30 Kimbo/Cowboy/Blueband Tin (1 kg) 8 0.31%

37 Basket (20 kg) 12 0.47%

38 Basket (10 kg) 3 0.11%

39 Basket (5 kg) 1 0.03%

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Value Label Cases Percentage

67 Bunch (Big) 3 0.11%

68 Bunch (Medium) 2 0.07%

88 Piece (Medium) 1 0.03%

NA 1976 77.76%

# conditionState2: In what state was %rostertitle% harvested (condition State)

Information [Type= discrete] [Format= numeric] [Range= 11-99] [Missing=*]

Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=39.1504424778761 /-] [StDev=9.26675331507469 /-]

Literal Question How much of [CROP] was harvested - Condition/State

Value Label Cases Percentage

11 Green harvested - with shell/cob and with stalk 7 0.27%

12 Green harvested - with shell/cob without stalk 1 0.03%

13 Green harvested - in the cob 10 0.39%

14 Green harvested - in the pods 12 0.47%

20 Fresh/raw harvested - state not applicable 11 0.43%

22 Fresh/raw harvested - with shell/cob without stalk 7 0.27%

23 Fresh/raw harvested - in the cob 5 0.19%

24 Fresh/raw harvested - in pods 10 0.39%

32 Dry at harvest - with shell 6 0.23%

33 Dry at harvest - in the cob 51 2%

35 Dry at harvest - grain 74 2.91%

40 Dry after additional drying - state not applicable 22 0.86%

41 Dry after additional drying - with shell and with stalk 1 0.03%

42 Dry after additional drying - with shell 6 0.23%

43 Dry after additional drying - in the cob 16 0.62%

44 Dry after additional drying - In pods or shell/husks 46 1.81%

45 Dry - grain 279 10.97%

99 Not Applicable 1 0.03%

NA 1976 77.76%

# Conversion2: How much of %rostertitle% was harvested (Conversion)

Information [Type= contin] [Format= numeric] [Range= 1-2850] [Missing=*]

Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=95.0336283185841 /-] [StDev=164.814318265826 /-]

Literal Question How much of [CROP] was harvested - Conversion (Kg)

# consume2: Did the household consume a portion of the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=1.04070796460177 /-] [StDev=0.197787930049667 /-]

Literal Question Did the household consume a portion of the [CROP]

Value Label Cases Percentage

1 Yes 542 21.33%

2 No 23 0.9%

NA 1976 77.76%

# sell2: Did the household sell a portion of the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

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Statistics [NW/ W] [Valid=565 /-] [Invalid=1976 /-] [Mean=1.33274336283186 /-] [StDev=0.471613060735225 /-]

Literal Question Did the household sell a portion of the [crop]?

Value Label Cases Percentage

1 Yes 377 14.83%

2 No 188 7.39%

NA 1976 77.76%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=117.441951987407 /-] [StDev=56.1351248269553 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=0 /-] [Mean=5.35655253837072 /-] [StDev=2.89439884013283 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 284 11.17%

2 261 10.27%

3 260 10.23%

4 280 11.01%

5 245 9.64%

6 261 10.27%

7 239 9.4%

8 209 8.22%

9 251 9.87%

10 251 9.87%

File agsec_3

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4904 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# lvstid: Livestock identifier

Information [Type= discrete] [Format= numeric] [Range= 101-108] [Missing=*]

Statistics [NW/ W] [Valid=4904 /-] [Invalid=0 /-] [Mean=104.5 /-] [StDev=2.29152149738904 /-]

Literal Question Type of livestock species

Value Label Cases Percentage

101 EXOTIC/CROSS- Large ruminants eg Bulls,Cows,Oxen

613 12.5%

102 EXOTIC/CROSS- Small ruminants eg. goats, Sheep, 613 12.5%

103 EXOTIC/CROSS- Poultry 613 12.5%

104 EXOTIC/CROSS- Pigs 613 12.5%

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Value Label Cases Percentage

105 INDIGENOUS- Large ruminants eg Bulls,Cows,Oxen 613 12.5%

106 INDIGENOUS- Small ruminants eg. goats, Sheep, 613 12.5%

107 INDIGENOUS- Poultry 613 12.5%

108 INDIGENOUS- Pigs 613 12.5%

# AG3: How many %rostertitle% (at your farm or away) are owned by your household now?

Information [Type= discrete] [Format= numeric] [Range= 0-200] [Missing=*]

Statistics [NW/ W] [Valid=4903 /-] [Invalid=1 /-] [Mean=1.35570059147461 /-] [StDev=7.0126024308829 /-]

Literal Question How many [ANIMAL] (at your farm or away) are owned by your household now?

Post-Question Text None >> next species

Value Label Cases Percentage

None 3882 79.15%

1 159 3.24%

2 175 3.56%

3 142 2.89%

4 114 2.32%

5 112 2.28%

6 70 1.42%

7 37 0.75%

8 32 0.65%

9 11 0.22%

10 54 1.1%

11 4 0.08%

12 22 0.44%

13 2 0.04%

14 3 0.06%

15 25 0.5%

16 3 0.06%

18 4 0.08%

19 1 0.02%

20 20 0.4%

21 1 0.02%

22 1 0.02%

24 1 0.02%

25 2 0.04%

27 1 0.02%

28 1 0.02%

30 11 0.22%

40 2 0.04%

45 2 0.04%

50 2 0.04%

60 1 0.02%

100 2 0.04%

200 4 0.08%

NA 1 0.02%

# AG4: Did you consume any [ANIMAL] during the past 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

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Statistics [NW/ W] [Valid=1021 /-] [Invalid=3883 /-] [Mean=1.68560235063663 /-] [StDev=0.464503059947242 /-]

Literal Question Did you consume any [ANIMAL] during the past 12 months?

Value Label Cases Percentage

1 Yes 321 6.54%

2 No 700 14.27%

NA 3883 79.18%

# AG5: Did you sell any [ANIMAL] during the past 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1021 /-] [Invalid=3883 /-] [Mean=1.68560235063663 /-] [StDev=0.464503059947242 /-]

Literal Question Did you sell any [ANIMAL] during the past 12 months?

Value Label Cases Percentage

1 Yes 321 6.54%

2 No 700 14.27%

NA 3883 79.18%

# AG6: Has the household produced any animal by-products from [ANIMAL GROUP]

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1021 /-] [Invalid=3883 /-] [Mean=1.71890303623898 /-] [StDev=0.449755021989191 /-]

Literal Question Has the household produced any animal by-products from [ANIMAL GROUP]

Value Label Cases Percentage

1 Yes 287 5.85%

2 No 734 14.96%

NA 3883 79.18%

# AG7: Did the household consume/sell any of the [EGGS]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=158 /-] [Invalid=4746 /-] [Mean=1.82911392405063 /-] [StDev=1.20610463138283 /-]

Literal Question Did the household consume/sell any of the [EGGS]?

Value Label Cases Percentage

1 Yes, consumed 102 2.07%

2 Yes, sold 9 0.18%

3 Yes, both 19 0.38%

4 No 28 0.57%

NA 4746 96.77%

# AG8: Did the household consume/sell any of the [MILK]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=115 /-] [Invalid=4789 /-] [Mean=2.55652173913043 /-] [StDev=1.2990637947939 /-]

Literal Question Did the household consume/sell any of the [MILK]?

Value Label Cases Percentage

1 Yes, consumed 42 0.85%

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Value Label Cases Percentage

2 Yes, sold 7 0.14%

3 Yes, both 26 0.53%

4 No 40 0.81%

NA 4789 97.65%

# AG9: Did the household consume/sell any of the [MEAT]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=287 /-] [Invalid=4617 /-] [Mean=2.86062717770035 /-] [StDev=1.35154028564979 /-]

Literal Question Did the household consume/sell any of the [MEAT]?

Value Label Cases Percentage

1 Yes, consumed 93 1.89%

2 Yes, sold 5 0.1%

3 Yes, both 38 0.77%

4 No 151 3.07%

NA 4617 94.14%

# AG10: Did the household consume /sell any of the [DUNG]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=287 /-] [Invalid=4617 /-] [Mean=3.50871080139373 /-] [StDev=1.09947257380403 /-]

Literal Question Did the household consume/sell any of the [DUNG/URINE]?

Value Label Cases Percentage

1 Yes, consumed 45 0.91%

2 Yes, sold 2 0.04%

3 Yes, both 2 0.04%

4 No 238 4.85%

NA 4617 94.14%

# AG11: Did the household consume/sell any of the [SKIN & HIDES]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=115 /-] [Invalid=4789 /-] [Mean=3.55652173913043 /-] [StDev=0.860347791240081 /-]

Literal Question Did the household consume/sell any of the [SKIN & HIDES]?

Value Label Cases Percentage

1 Yes, consumed 5 0.1%

2 Yes, sold 13 0.26%

3 Yes, both 10 0.2%

4 No 87 1.77%

NA 4789 97.65%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=4904 /-] [Invalid=0 /-] [Mean=112.412724306688 /-] [StDev=55.6518501090441 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

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Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=4904 /-] [Invalid=0 /-] [Mean=5.40619902120718 /-] [StDev=2.86592261785108 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 496 10.11%

2 504 10.27%

3 512 10.44%

4 536 10.92%

5 544 11.09%

6 440 8.97%

7 440 8.97%

8 456 9.29%

9 520 10.6%

10 456 9.29%

File agsec_4

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# lvstinputid: Livestock input identifier

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=5.5 /-] [StDev=2.87251563263215 /-]

Literal Question INPUT CODE

Value Label Cases Percentage

1 Fodder/feed 613 10%

2 Manufactured feeds, salt 613 10%

3 Vet Services/Drugs/Vaccine 613 10%

4 Enclosure/shelter 613 10%

5 Hiring livestock 613 10%

6 Access to water 613 10%

7 Branding, De-horning, etc 613 10%

8 Livestock Insurance 613 10%

9 Purchase and repairs of facilities/structures 613 10%

10 Other (specify) 613 10%

# LIVESTOCKINPUTSothers: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question INPUT CODE - Other

Value Label Cases Percentage

5517 90%

- 25 0.4%

##N/A## 2 0.03%

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Value Label Cases Percentage

0 107 1.74%

1 1 0.01%

BULLS HELPING IN CULTIVATION

1 0.01%

Hired labour

1 0.01%

Labor 2 0.03%

n/a 13 0.21%

N/A 12 0.19%

NA 3 0.04%

no 33 0.53%

No 7 0.11%

NO 1 0.01%

NO NONE 1 0.01%

no other 13 0.21%

no others 1 0.01%

none 138 2.25%

None 97 1.58%

NONE 68 1.1%

not applicable

14 0.22%

Not applicable

26 0.42%

nothing 7 0.11%

nothing to specify

2 0.03%

nt applicable

1 0.01%

o 2 0.03%

OTHER 21 0.34%

ropes 10 0.16%

Ropes 2 0.03%

ROPES 2 0.03%

# AAG3: Did you use %rostertitle% in the last 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=1.93768352365416 /-] [StDev=0.241749182002421 /-]

Literal Question Did you use [INPUT] in the last 12 months?

Post-Question Text NO >> NEXT ROW

Value Label Cases Percentage

1 Yes 382 6.23%

2 No 5748 93.76%

# AAG4: How did you obtain the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=382 /-] [Invalid=5748 /-] [Mean=1.80104712041885 /-] [StDev=0.967828401136691 /-]

Literal Question How did you obtain the [INPUT]?

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Value Label Cases Percentage

1 Purchase or rent 224 3.65%

2 Refugee support package (UNHCR) / Relief assistance 10 0.16%

3 Other [specify] 148 2.41%

NA 5748 93.76%

# AAG4_oth: How did you obtain the %rostertitle%? OTHERS

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question How did you obtain the [INPUT]? - Other [specify]

# AAG5: During the last month, how much did you spend on %rostertitle%, including transp

Information [Type= contin] [Format= numeric] [Range= 0-3200000] [Missing=*]

Statistics [NW/ W] [Valid=382 /-] [Invalid=5748 /-] [Mean=49291.3612565445 /-] [StDev=206192.318055047 /-]

Literal Question During the last month, how much did you spend on [INPUT], including transport in total?

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=112.412724306688 /-] [StDev=55.6507150866581 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=6130 /-] [Invalid=0 /-] [Mean=5.40619902120718 /-] [StDev=2.86586416720979 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 620 10.11%

2 630 10.27%

3 640 10.44%

4 670 10.92%

5 680 11.09%

6 550 8.97%

7 550 8.97%

8 570 9.29%

9 650 10.6%

10 570 9.29%

File csec1

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=223 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# batch_num: Batch ID

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=223 /-] [Invalid=0 /-] [Mean=112.668161434978 /-] [StDev=64.9028186878773 /-]

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# s1aq2a: District

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=223 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question DISTRICT

Value Label Cases Percentage

Adjumani 11 4.93%

ADJUMANI

7 3.13%

Arua 7 3.13%

ARUA 12 5.38%

Hoima 7 3.13%

HOIMA 11 4.93%

Isingiro 9 4.03%

ISINGIRO 9 4.03%

Kampala 36 16.14%

Kamwenge 8 3.58%

KAMWENGE

9 4.03%

Kiryandongo

5 2.24%

KIRYANDONGO

7 3.13%

KOBOKO 6 2.69%

Kyegegwa 4 1.79%

KYEGEGWA

10 4.48%

Lamwo 3 1.34%

LAMWO 7 3.13%

Moyo 4 1.79%

MOYO 6 2.69%

WAKISO 8 3.58%

Yumbe 28 12.55%

YUMBE 9 4.03%

# s1bq2: Response code

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=215 /-] [Invalid=8 /-] [Mean=1.07441860465116 /-] [StDev=0.340486885618841 /-]

Literal Question Response code

Value Label Cases Percentage

1 Completed 204 91.47%

2 Partial 6 2.69%

3 Not done 5 2.24%

NA 8 3.58%

File csec1c

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

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# pid: Key informat identifier

Information [Type= discrete] [Format= numeric] [Range= 1-19] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=3.91620553359684 /-] [StDev=2.53879983022996 /-]

Literal Question Key informant

Value Label Cases Percentage

1 212 16.75%

2 209 16.52%

3 208 16.44%

4 204 16.12%

5 170 13.43%

6 95 7.5%

7 58 4.58%

8 42 3.32%

9 26 2.05%

10 16 1.26%

11 10 0.79%

12 4 0.31%

13 3 0.23%

14 1 0.07%

15 2 0.15%

16 1 0.07%

17 2 0.15%

18 1 0.07%

19 1 0.07%

# CR02: Sex

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=1.32648221343874 /-] [StDev=0.469111439428513 /-]

Literal Question Sex

Value Label Cases Percentage

1 Male 852 67.35%

2 Female 413 32.64%

# CR03: CR03: How old is %rostertitle%?

Information [Type= contin] [Format= numeric] [Range= 1-95] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=41.1233201581028 /-] [StDev=13.2667604186479 /-]

Literal Question How old is [NAME]?

# CR04: CR04: What position does %rostertitle% currently have in this community?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=20.7644268774704 /-] [StDev=32.3028073104194 /-]

Literal Question What position does [NAME] currently have in this community?

Value Label Cases Percentage

1 Chairperson 158 12.49%

2 Representative Women 118 9.32%

3 Representative Youth 88 6.95%

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Value Label Cases Percentage

4 Elderly 92 7.27%

5 School Headmaster 9 0.71%

6 School Teacher 34 2.68%

7 Agricultural Extension officer 1 0.07%

8 Health worker 55 4.34%

9 Business man/woman 75 5.92%

10 Religious leader 15 1.18%

11 Police 16 1.26%

12 Local community member 410 32.41%

96 Other Specify 194 15.33%

# CR04b: Others

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What position does [NAME] currently have in this community? - Other Specify

# CR05: CR05: For how many years have %rostertitle% lived in this community?

Information [Type= contin] [Format= numeric] [Range= 0-2016] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=22.6521739130435 /-] [StDev=81.3379171690554 /-]

Literal Question For how many years have [NAME] lived in this Community?

# CR06: CR06: What is the highest educational qualification %rostertitle% has attained?

Information [Type= discrete] [Format= numeric] [Range= 1-6] [Missing=*]

Statistics [NW/ W] [Valid=1265 /-] [Invalid=0 /-] [Mean=3.24347826086957 /-] [StDev=1.44328670046004 /-]

Literal Question What is the highest educational qualification [NAME} has attained?

Value Label Cases Percentage

1 Never attended 108 8.53%

2 Some Primary 413 32.64%

3 Completed primary 155 12.25%

4 Some secondary 356 28.14%

5 Completed secondary 118 9.32%

6 Beyond Secondary 115 9.09%

File csec2a

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=8055 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# SA01: Sr No

Information [Type= discrete] [Format= numeric] [Range= 1-38] [Missing=*]

Statistics [NW/ W] [Valid=8055 /-] [Invalid=0 /-] [Mean=19.4990689013035 /-] [StDev=10.96689910432 /-]

Literal Question Sr. No

Value Label Cases Percentage

1 Government Primary School 212 2.63%

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Value Label Cases Percentage

2 Private Primary School 212 2.63%

3 Government Secondary School 212 2.63%

4 Private Secondary School 212 2.63%

5 Technical/Vocational School 212 2.63%

6 Alternative Basic Education for Karamoja 212 2.63%

7 Functional Adult Literacy (FAL) Centre 212 2.63%

8 Government Health Centre 212 2.63%

9 Government Hospital 212 2.63%

10 Private (NGO) Clinic 212 2.63%

11 Private Hospital 212 2.63%

12 Pharmacy 212 2.63%

13 Bank 212 2.63%

14 Post Office 212 2.63%

15 Market Selling Agricultural Inputs 212 2.63%

16 Market Selling Agricultural Produce 212 2.63%

17 Market Selling Non-Agricultural Produce 212 2.63%

18 Primary Market for Livestock 212 2.63%

19 National Road (Paved) 212 2.63%

20 National Road (Unpaved) 212 2.63%

21 Feeder/District Road 212 2.63%

22 Community Road 212 2.63%

23 Traditional Healer 212 2.63%

24 Agricultural Extension Services 212 2.63%

25 Veterinary Services 212 2.63%

26 Slaughter Slabs 212 2.63%

27 Dip Tank 211 2.61%

28 Crushes 212 2.63%

29 Charcos Dam 212 2.63%

30 Hides & Skins Bandas 212 2.63%

31 Fisheries Extension Services 212 2.63%

32 Police Station/Police post 212 2.63%

33 Army Detach/Barracks 212 2.63%

34 NGO 212 2.63%

35 Microfinance institutions services 212 2.63%

36 Internet Point of access 212 2.63%

37 Pay phone 212 2.63%

38 Urban Roads 212 2.63%

# SA03: Is [SERVICE] available to members of the LC1?

Information [Type= discrete] [Format= numeric] [Range= 1-97] [Missing=*]

Statistics [NW/ W] [Valid=8055 /-] [Invalid=0 /-] [Mean=3.91880819366853 /-] [StDev=11.6586715098911 /-]

Literal Question Is [SERVICE] available to members of the LC1/cluster (even if they must travel to use it?)

Post-Question Text - No (>> NEXT ITEM)- Not Applicable (>> NEXT ITEM)

Value Label Cases Percentage

1 Yes,within LC1 809 10.04%

2 Yes,outside LC1 2637 32.73%

3 No 4485 55.67%

97 Not applicable 124 1.53%

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File csec2a

# SA05: SA05: What is the distance from village centre to %rostertitle%

Information [Type= contin] [Format= numeric] [Range= 0-250] [Missing=*]

Statistics [NW/ W] [Valid=3445 /-] [Invalid=4610 /-] [Mean=6.40252830188679 /-] [StDev=14.1567464769477 /-]

Literal Question What is the distance from village centre (i.e. geographical middle) to [SERVICE] in kms?

# SA06: What is the most common means of transport to [SERVICE]?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=3445 /-] [Invalid=4610 /-] [Mean=2.47982583454282 /-] [StDev=5.2079254770528 /-]

Literal Question What is the most common means of transport to [SERVICE]?

Value Label Cases Percentage

1 Walking 2351 29.18%

2 Taxi (Car) 222 2.75%

3 Pickup/Truck 1 0.01%

4 Bus/Mini-bus 158 1.96%

5 Boda Boda (Bicycle) 50 0.62%

6 Boda Boda (M/cycle) 620 7.69%

7 Own motorcycle 1 0.01%

8 Own bicycle 29 0.36%

10 Own car 4 0.04%

96 Other 9 0.11%

NA 4610 57.23%

# SA06b: SA06b: OTHER-What is the most common means of transport to %rostertitle%?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=8055 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the most common means of transport to [SERVICE]? - Other (specify)

Value Label Cases Percentage

8046 99.88%

Ambulance 1 0.01%

Boda boda then a taxi

1 0.01%

Boda boda then gets a taxi

1 0.01%

NGO vans 1 0.01%

UNHCR vans

5 0.06%

# SA07: Time taken to get to [SERVICE] from village centre using common means of transport

Information [Type= contin] [Format= numeric] [Range= 0-720] [Missing=*]

Statistics [NW/ W] [Valid=3445 /-] [Invalid=4610 /-] [Mean=35.1596516690856 /-] [StDev=43.9898962622726 /-]

Literal Question What is the time taken to get to [SERVICE] from village centre using common means of transport?

# SA08: How do you rate the quality of service offered by [SERVICE]?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=3445 /-] [Invalid=4610 /-] [Mean=1.63657474600871 /-] [StDev=0.675820914760551 /-]

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Literal Question How do you rate the quality of service offered by [SERVICE]?

Value Label Cases Percentage

1 Good 1640 20.36%

2 Average 1417 17.59%

3 Poor 388 4.81%

NA 4610 57.23%

File csec2d

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# A01: A01. How has the availability of safe water changed in the last 2 years?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=1.7122641509434 /-] [StDev=0.947553880491169 /-]

Literal Question How has the availability of safe water changed in the last 2 years?

Value Label Cases Percentage

1 Improved 116 54.71%

2 Same 59 27.83%

3 Deteriorated 19 8.96%

4 No safe water in this period 18 8.49%

# A03: A03. Do the people in your community pay for using water?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=2.08962264150943 /-] [StDev=0.852365456329443 /-]

Literal Question Do the people in your community pay for using water?

Value Label Cases Percentage

1 Yes, Always 68 32.07%

2 Yes, Sometimes 57 26.88%

3 No 87 41.03%

# A04: A04. What is the purpose of the payments?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=125 /-] [Invalid=87 /-] [Mean=2.312 /-] [StDev=8.46188417971835 /-]

Literal Question What is the purpose of the payments?

Value Label Cases Percentage

1 User fees/tariffs 55 25.94%

2 Maintenance costs 69 32.54%

96 Other(specify) 1 0.47%

NA 87 41.03%

# A04_oth: Other(specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

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Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the purpose of the payments? - Other(specify)

Value Label Cases Percentage

211 99.52%

Whenever it breaks down

1 0.47%

# A05__1: Covered Latrine Private

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.688679245283019 /-] [StDev=0.464129568998125 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Covered Latrine Private

Value Label Cases Percentage

No 66 31.13%

1 Yes 146 68.86%

# A05__2: Covered Latrine Shared

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.693396226415094 /-] [StDev=0.462174720849516 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Covered Latrine Shared

Value Label Cases Percentage

No 65 30.66%

1 Yes 147 69.33%

# A05__3: VIP Latrine Private

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.179245283018868 /-] [StDev=0.384465402490578 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - VIP Latrine Private

Value Label Cases Percentage

No 174 82.07%

1 Yes 38 17.92%

# A05__4: VIP Latrine Shared

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.122641509433962 /-] [StDev=0.328801649788854 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - VIP Latrine Shared

Value Label Cases Percentage

No 186 87.73%

1 Yes 26 12.26%

# A05__5: Uncovered Pit Latrine

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.438679245283019 /-] [StDev=0.497400018240248 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Uncovered Pit Latrine

Value Label Cases Percentage

No 119 56.13%

1 Yes 93 43.86%

# A05__6: Flush Toilet Private

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.160377358490566 /-] [StDev=0.367824202106861 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Flush Toilet Private

Value Label Cases Percentage

No 178 83.96%

1 Yes 34 16.03%

# A05__7: Flush Toilet Shared

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.0235849056603774 /-] [StDev=0.152111138461544 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Flush Toilet Shared

Value Label Cases Percentage

No 207 97.64%

1 Yes 5 2.35%

# A05__8: Ecosan Toilet

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.00943396226415094 /-] [StDev=0.0968981503565465 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - Ecosan Toilet

Value Label Cases Percentage

No 210 99.05%

1 Yes 2 0.94%

# A05__9: No Toilet / Bush

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=0.0283018867924528 /-] [StDev=0.16622642981183 /-]

Literal Question Which of the following types of toilets are mostly used in your community? - No Toilet / Bush

Value Label Cases Percentage

No 206 97.16%

1 Yes 6 2.83%

File csec3a

# cid: Community identifier

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Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs3q2: cs3q2: What is the %cs3q1%’s EMIS number?

Information [Type= contin] [Format= numeric] [Range= 0-5030082] [Missing=*]

Statistics [NW/ W] [Valid=172 /-] [Invalid=38 /-] [Mean=106777.122093023 /-] [StDev=420645.479865542 /-]

Literal Question What is the school’s EMIS number?

# cs3q4: cs3q4: What is the function of the respondent?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=7.54761904761905 /-] [StDev=22.7907082352381 /-]

Literal Question What is the function of the respondent?

Value Label Cases Percentage

1 Headmaster 105 50%

2 Deputy Headmaster 44 20.95%

3 Teacher 48 22.85%

96 Other (specify) 13 6.19%

# cs3q4_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the function of the respondent? - Other (specify)

Value Label Cases Percentage

197 93.8%

DIRECTOR 2 0.95%

Director of studies

2 0.95%

DIRECTOR OF STUDIES

3 1.42%

Director of the school

1 0.47%

school Bursar

1 0.47%

Secretary 1 0.47%

Senior Woman

1 0.47%

Senior woman

1 0.47%

SENIOR WOMAN

1 0.47%

# cs3q5: cs3q5: How long has the respondent been at %cs3q1%?

Information [Type= discrete] [Format= numeric] [Range= 0-25] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=4.55238095238095 /-] [StDev=4.29638983284894 /-]

Literal Question How long has the respondent been at the school?

Value Label Cases Percentage

19 9.04%

1 39 18.57%

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Value Label Cases Percentage

2 30 14.28%

3 15 7.14%

4 22 10.47%

5 23 10.95%

6 8 3.8%

7 13 6.19%

8 13 6.19%

9 5 2.38%

10 8 3.8%

12 1 0.47%

13 2 0.95%

14 3 1.42%

15 3 1.42%

18 4 1.9%

19 1 0.47%

25 1 0.47%

# cs3q6: cs3q6: Who manages %cs3q1%?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=5.68571428571429 /-] [StDev=19.1754998615916 /-]

Literal Question Who manages this school?

Value Label Cases Percentage

1 Government 125 59.52%

2 Private 23 10.95%

3 NGO/Religious Association 53 25.23%

96 Other (specify) 9 4.28%

# cs3q6_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who manages this school? - Other (specify)

Value Label Cases Percentage

201 95.71%

Both NGO and Government aided school

1 0.47%

commuity school managed by international service voluntary Association an NGO

1 0.47%

COMMUNITY

1 0.47%

Government and Ngo supported

1 0.47%

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Value Label Cases Percentage

Implemented by Windle Trust and funded by United Nations High Commissioner of Refugees

1 0.47%

implemented by Windle Trust International and funded by United Nations High Commissioner of Refugees

1 0.47%

implemented by Windle Trust International but funded by United Nations High Commissioner of Refugees

1 0.47%

management under UNCR project to Window Trust International to Uganda

1 0.47%

PARENTS 1 0.47%

# cs3q7: cs3q7:INTERVIEWER: IS IT A SCHOOL DAY OR WEEKEND/HOLIDAY?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=1.2047619047619 /-] [StDev=0.404491754431476 /-]

Literal Question INTERVIEWER: IS IT A SCHOOL DAY OR WEEKEND/HOLIDAY?

Value Label Cases Percentage

1 School Day 167 79.52%

2 Weekend/Holiday 43 20.47%

# cs3q7a: cs3q7A:Is %cs3q1% shared by refugees and Uganda students?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=1.25714285714286 /-] [StDev=0.438103162974277 /-]

Literal Question Is this school shared by refugees and Uganda students?

Value Label Cases Percentage

1 Yes 156 74.28%

2 No 54 25.71%

File csec3b

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1115 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Literal Question Community identifier

# cs3q8: Facility identifier

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=1115 /-] [Invalid=0 /-] [Mean=3 /-] [StDev=1.41484816575364 /-]

Literal Question Facility

Value Label Cases Percentage

1 Classrooms 223 20%

2 Teachers’ houses 223 20%

3 Library 223 20%

4 Toilets/Latrines 223 20%

5 Others(specify) 223 20%

# facilityOthers: Others(specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1115 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Facility - Others(specify)

Value Label Cases Percentage

913 81.88%

0 31 2.78%

borehole 3 0.26%

Borehole 1 0.08%

domitries 1 0.08%

Dormitories 1 0.08%

DORMITORIES

1 0.08%

Furniture 1 0.08%

FURNITURE

1 0.08%

kitchen 1 0.08%

Kitchen 11 0.98%

KITCHEN 1 0.08%

Kitchen and dinning room

1 0.08%

N/A 1 0.08%

NA 1 0.08%

NIL 1 0.08%

no 17 1.52%

No 7 0.62%

none 50 4.48%

None 12 1.07%

NONE 1 0.08%

noneel 1 0.08%

Not applicable

1 0.08%

not applicable

1 0.08%

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Value Label Cases Percentage

note about this school is that they have not yet registered any primary seven students they will sitPLE this year

1 0.08%

NOTHING 1 0.08%

o 1 0.08%

play ground 2 0.17%

RELIABLE WATER POINT

1 0.08%

School kitchen

1 0.08%

STAFF QUARTER LATRINES

1 0.08%

Staff toilets 1 0.08%

TAP WATER

1 0.08%

TOILET FOR TEACHER'S

1 0.08%

TOILET IN THE TEACHER'S QUATERS

1 0.08%

Water 3 0.26%

Water facility

1 0.08%

water facility

1 0.08%

Water facility

9 0.8%

Water facilty

1 0.08%

WATER POINT

24 2.15%

WATER SOURCE

1 0.08%

water supply

1 0.08%

water tank 1 0.08%

Water tank 1 0.08%

# cs3q9: Are %rostertitle% available at %cs3q1%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1046 /-] [Invalid=69 /-] [Mean=1.32791586998088 /-] [StDev=0.469678559119136 /-]

Literal Question Are [FACILITIES] available at the school?

Post-Question Text No (>>NEXT)

Value Label Cases Percentage

1 Yes 703 63.04%

2 No 343 30.76%

NA 69 6.18%

# cs3q10: Is the %rostertitle% adequate?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

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Statistics [NW/ W] [Valid=703 /-] [Invalid=412 /-] [Mean=1.69416785206259 /-] [StDev=0.46108704734881 /-]

Literal Question Is the [FACILITY] adequate?

Value Label Cases Percentage

1 Yes 215 19.28%

2 No 488 43.76%

NA 412 36.95%

# cs3q11: What type of buildings does %cs3q1% have?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=703 /-] [Invalid=412 /-] [Mean=7.43385490753912 /-] [StDev=22.9194885365411 /-]

Literal Question What type of buildings does the school have?

Value Label Cases Percentage

1 Permanent 482 43.22%

2 Semi-permanent 55 4.93%

3 Both permanent & Semi-permanent 78 6.99%

4 Temporary 44 3.94%

96 Other (Specify) 44 3.94%

NA 412 36.95%

# cs3q11_oth: Other (Specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1115 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What type of buildings does the school have? - Other (Specify)

Value Label Cases Percentage

1071 96.05%

BOTH PERMANENT AND TEMPORARY STRUCTURE

1 0.08%

EMPTY TANK

1 0.08%

Good condition

1 0.08%

grass thatched

1 0.08%

KEEPS BREAKING DOWN

2 0.17%

LEAKING TENTS

1 0.08%

NOT FUCTIONING

1 0.08%

shared room with offices

1 0.08%

TEACHER'S SLEEPING IN CLASSROOMS

1 0.08%

TEMPORARY AND SEMI PERMANENT

1 0.08%

TENT 29 2.6%

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Value Label Cases Percentage

Tents 1 0.08%

TENTS 1 0.08%

UN RELIABLE

1 0.08%

within the headmasters office

1 0.08%

# cs3q12: What is the condition of the %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=703 /-] [Invalid=412 /-] [Mean=1.7724039829303 /-] [StDev=0.752568855420789 /-]

Literal Question What is the condition of the [FACILITY]?

Value Label Cases Percentage

1 Good 297 26.63%

2 Fair 269 24.12%

3 Poor 137 12.28%

NA 412 36.95%

File csec3d

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2096 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs3q25: type of payment identifier

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=2096 /-] [Invalid=0 /-] [Mean=5.49379770992366 /-] [StDev=2.87063308446039 /-]

Literal Question Payment for services by parents/guardians at the school - Type

Value Label Cases Percentage

1 Development/building fees 210 10.01%

2 Lunch 210 10.01%

3 School uniform 210 10.01%

4 Exercise books 210 10.01%

5 Text books 209 9.97%

6 Pens and Pencils 210 10.01%

7 Geometry sets 210 10.01%

8 Rulers 210 10.01%

9 Coaching Services 210 10.01%

10 Others (specify) 207 9.87%

# paymentService_oth: Others (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2096 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Payment for services by parents/guardians at the school - Others (specify)

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Value Label Cases Percentage

1896 90.45%

0 30 1.43%

00 1 0.04%

boarding fees

1 0.04%

Computer skills

1 0.04%

CONSELLING AND GUIDIANCE

1 0.04%

counselling 1 0.04%

drinking water

1 0.04%

E learning 1 0.04%

examination fee

1 0.04%

Exams 1 0.04%

EXAMS 3 0.14%

EXTRA TIME TO WEAK PUPILS

1 0.04%

Firewood 1 0.04%

First aid 1 0.04%

Monthly exams

1 0.04%

N/A 1 0.04%

NA 1 0.04%

NIL 2 0.09%

no 19 0.9%

No 5 0.23%

non 1 0.04%

none 74 3.53%

None 13 0.62%

NONE 25 1.19%

not applicable

3 0.14%

Not applicable

1 0.04%

o 1 0.04%

remidal lessons

1 0.04%

SANITARY PADS

3 0.14%

school fees 1 0.04%

sports 1 0.04%

SWIMMING

1 0.04%

the scolastic materials are provided by Windle Trust

1 0.04%

# cs3q26: Does this school provide %rostertitle% to students?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2096 /-] [Invalid=0 /-] [Mean=1.68129770992366 /-] [StDev=0.466084523370537 /-]

Literal Question Does this school provide [ITEM] to students?

Post-Question Text No (>>NEXT)

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Value Label Cases Percentage

1 Yes 668 31.87%

2 No 1428 68.12%

# cs3q27: Does the school charge for [ITEM]?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=668 /-] [Invalid=1428 /-] [Mean=3.41916167664671 /-] [StDev=0.741402223614007 /-]

Literal Question Does the school charge for [ITEM]?

Post-Question Text No (>>NEXT)

Value Label Cases Percentage

1 Yes, only refugee students 10 0.47%

2 Yes, only non-refugee students 72 3.43%

3 Yes, Both 214 10.2%

4 No 372 17.74%

NA 1428 68.12%

# cs3q28a: What is the average amount charged per child for %rostertitle%? Refugee

Information [Type= discrete] [Format= numeric] [Range= 0-150000] [Missing=*]

Statistics [NW/ W] [Valid=224 /-] [Invalid=1872 /-] [Mean=23410.7142857143 /-] [StDev=28450.3118336811 /-]

Literal Question What is the average amount charged per child for [ITEM]? - Refugee

Value Label Cases Percentage

10 0.47%

500 1 0.04%

1000 9 0.42%

1500 1 0.04%

2000 22 1.04%

2500 2 0.09%

3000 19 0.9%

3500 2 0.09%

4000 4 0.19%

4500 2 0.09%

5000 18 0.85%

6000 3 0.14%

7000 3 0.14%

8000 4 0.19%

10000 13 0.62%

12000 3 0.14%

15000 8 0.38%

16000 1 0.04%

20000 12 0.57%

21000 1 0.04%

22500 2 0.09%

25000 10 0.47%

30000 17 0.81%

35000 2 0.09%

37000 1 0.04%

38000 1 0.04%

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Value Label Cases Percentage

40000 9 0.42%

45000 2 0.09%

48000 1 0.04%

50000 13 0.62%

52000 5 0.23%

55000 1 0.04%

56000 2 0.09%

60000 4 0.19%

65000 2 0.09%

70000 1 0.04%

75000 2 0.09%

78000 2 0.09%

80000 1 0.04%

120000 6 0.28%

150000 2 0.09%

NA 1872 89.31%

# cs3q28b: What is the average amount charged per child for %rostertitle%? Non-refugee

Information [Type= contin] [Format= numeric] [Range= 0-300000] [Missing=*]

Statistics [NW/ W] [Valid=286 /-] [Invalid=1810 /-] [Mean=21395.1048951049 /-] [StDev=30878.7017468012 /-]

Literal Question What is the average amount charged per child for [ITEM]? - Non-refugee

# cs3q29: What is the frequency of payment for %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=296 /-] [Invalid=1800 /-] [Mean=6.84459459459459 /-] [StDev=20.6468983472219 /-]

Literal Question What is the frequency of payment for [ITEM]?

Value Label Cases Percentage

1 Annual 40 1.9%

2 Per term 207 9.87%

3 Monthly 4 0.19%

4 When required 30 1.43%

96 Other (specify) 15 0.71%

NA 1800 85.87%

# cs3q29_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2096 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the frequency of payment for [ITEM]? - Other (specify)

Value Label Cases Percentage

2081 99.28%

Don't pay 3 0.14%

Free 1 0.04%

no charge 1 0.04%

none 6 0.28%

over the holidays

1 0.04%

per term holiday

1 0.04%

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Value Label Cases Percentage

per week 1 0.04%

they do not pay for it

1 0.04%

File csec3f

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=207 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs3q48__1: What are the MAJOR constraints/problems faced by the school?:Delayed remittance

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=16 /-] [Invalid=191 /-] [Mean=1.875 /-] [StDev=0.885061203156784 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Delayed remittance of funds

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 7 3.38%

2 Serious 4 1.93%

3 Least serious 5 2.41%

NA 191 92.27%

# cs3q48__2: What are the MAJOR constraints/problems faced by the school?:Inadequate building

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=105 /-] [Invalid=102 /-] [Mean=1.79047619047619 /-] [StDev=0.816832980000267 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Inadequate buildings

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 48 23.18%

2 Serious 31 14.97%

3 Least serious 26 12.56%

NA 102 49.27%

# cs3q48__3: What are the MAJOR constraints/problems faced by the school?:Inadequate number o

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=76 /-] [Invalid=131 /-] [Mean=1.77631578947368 /-] [StDev=0.704247763419027 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Inadequate number of staff

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 29 14%

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Value Label Cases Percentage

2 Serious 35 16.9%

3 Least serious 12 5.79%

NA 131 63.28%

# cs3q48__4: What are the MAJOR constraints/problems faced by the school?:Inadequate number o

Information [Type= discrete] [Format= numeric] [Range= 2-3] [Missing=*]

Statistics [NW/ W] [Valid=13 /-] [Invalid=194 /-] [Mean=2.38461538461538 /-] [StDev=0.506369683541833 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Inadequate number of qualified teachers

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

2 Serious 8 3.86%

3 Least serious 5 2.41%

NA 194 93.71%

# cs3q48__5: What are the MAJOR constraints/problems faced by the school?:Insufficiency of fu

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=60 /-] [Invalid=147 /-] [Mean=1.83333333333333 /-] [StDev=0.78474149185547 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Insufficiency of funds

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 24 11.59%

2 Serious 22 10.62%

3 Least serious 14 6.76%

NA 147 71.01%

# cs3q48__6: What are the MAJOR constraints/problems faced by the school?:Long distances cove

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=180 /-] [Mean=1.85185185185185 /-] [StDev=0.818239371770675 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Long distances covered by pupils

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 11 5.31%

2 Serious 9 4.34%

3 Least serious 7 3.38%

NA 180 86.95%

# cs3q48__7: What are the MAJOR constraints/problems faced by the school?:Pupils are hungry

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=180 /-] [Mean=2.40740740740741 /-] [StDev=0.747264717757073 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?

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- Pupils are hungry

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 4 1.93%

2 Serious 8 3.86%

3 Least serious 15 7.24%

NA 180 86.95%

# cs3q48__8: What are the MAJOR constraints/problems faced by the school?:Bad behavior/strike

Information [Type= discrete] [Format= numeric] [Range= 2-2] [Missing=*]

Statistics [NW/ W] [Valid=1 /-] [Invalid=206 /-] [Mean=2 /-] [StDev=NA /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Bad behavior/strikes by pupils

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

2 Serious 1 0.48%

NA 206 99.51%

# cs3q48__9: What are the MAJOR constraints/problems faced by the school?:Irregular attendanc

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=42 /-] [Invalid=165 /-] [Mean=2.47619047619048 /-] [StDev=0.706696030770716 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Irregular attendance by pupils

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 5 2.41%

2 Serious 12 5.79%

3 Least serious 25 12.07%

NA 165 79.71%

# cs3q48__10: What are the MAJOR constraints/problems faced by the school?:Inadequate/lack of

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=97 /-] [Invalid=110 /-] [Mean=1.84536082474227 /-] [StDev=0.808035248116883 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Inadequate/lack of teachers accommodation

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 40 19.32%

2 Serious 32 15.45%

3 Least serious 25 12.07%

NA 110 53.14%

# cs3q48__11: What are the MAJOR constraints/problems faced by the school?:Teacher absenteeism

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File csec3f

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=8 /-] [Invalid=199 /-] [Mean=2.25 /-] [StDev=0.707106781186548 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Teacher absenteeism

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 1 0.48%

2 Serious 4 1.93%

3 Least serious 3 1.44%

NA 199 96.13%

# cs3q48__12: What are the MAJOR constraints/problems faced by the school?:Bad behavior/strike

Information [Type= discrete] [Format= numeric] [Range= *-*] [Missing=*]

Statistics [NW/ W] [Valid=0 /-] [Invalid=207 /-] [Mean=* /-] [StDev=* /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Bad behavior/strikes by teachers

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

NA 207 100%

# cs3q48__13: What are the MAJOR constraints/problems faced by the school?:Lack of parental in

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=55 /-] [Invalid=152 /-] [Mean=2.10909090909091 /-] [StDev=0.831614388753881 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Lack of parental interest in school affairs

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 16 7.72%

2 Serious 17 8.21%

3 Least serious 22 10.62%

NA 152 73.42%

# cs3q48__14: What are the MAJOR constraints/problems faced by the school?:Insecurity

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=12 /-] [Invalid=195 /-] [Mean=1.91666666666667 /-] [StDev=0.792961461098759 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Insecurity

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 4 1.93%

2 Serious 5 2.41%

3 Least serious 3 1.44%

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Value Label Cases Percentage

NA 195 94.2%

# cs3q48__96: What are the MAJOR constraints/problems faced by the school?:Other (specify)

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=66 /-] [Invalid=141 /-] [Mean=2.18181818181818 /-] [StDev=0.839580314737729 /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Other (specify)

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 18 8.69%

2 Serious 18 8.69%

3 Least serious 30 14.49%

NA 141 68.11%

# cs3q48_oth: Other (specify)

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=207 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What are the MAJOR constraints/problems faced by the school?- Other (specify)

Interviewer Instructions - SHOULD NOT BE READ TO RESPONDENT- RANK UP TO 3 SOURCES BY IMPORTANCE

File csec4

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs4q4: What is the function of the respondent?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=19.6190476190476 /-] [StDev=36.5871525421977 /-]

Literal Question What is the function of the respondent?

Value Label Cases Percentage

1 In Charge 93 44.28%

2 Medical Doctor 3 1.42%

3 Nurse 40 19.04%

4 Midwife 18 8.57%

5 Administrator 17 8.09%

96 Other (specify) 39 18.57%

# cs4q4_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Literal Question What is the function of the respondent? - Other (specify)

Value Label Cases Percentage

171 81.42%

Clinic officer

1 0.47%

clinical officer

2 0.95%

Clinical officer

5 2.38%

Clinical Officer

2 0.95%

CLINICAL OFFICER

10 4.76%

Data Clerk 1 0.47%

Director 1 0.47%

Emergency Coordinator

3 1.42%

In charge maternity

4 1.9%

labaratory assistant

1 0.47%

laboratory assistant

1 0.47%

linkage facilitator

1 0.47%

nursing assistant

1 0.47%

NURSING ASSISTANT

1 0.47%

nursing officer

1 0.47%

SENIOR CLINICAL OFFICER

1 0.47%

Senior clinicians office

1 0.47%

SENIOR NURSING OFFICER

2 0.95%

# cs4q5: How long has the respondent been at the facility?

Information [Type= discrete] [Format= numeric] [Range= 0-2017] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=12.2428571428571 /-] [StDev=139.039263572432 /-]

Literal Question How long has the respondent been at the facility?

Value Label Cases Percentage

16 7.61%

1 91 43.33%

2 30 14.28%

3 23 10.95%

4 15 7.14%

5 10 4.76%

6 7 3.33%

7 3 1.42%

8 3 1.42%

9 3 1.42%

11 4 1.9%

12 3 1.42%

30 1 0.47%

2017 1 0.47%

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# cs4q6: Who owns this facility?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=8.63333333333333 /-] [StDev=25.161560896146 /-]

Literal Question Who owns this facility?

Value Label Cases Percentage

1 Government 147 70%

2 Private 11 5.23%

3 NGO/Religious Association 36 17.14%

96 Other (specify) 16 7.61%

# cs4q6_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who owns this facility? - Other (specify)

Value Label Cases Percentage

194 92.38%

ACTION AFRICA HELP INTERNATIONAL under the funding of UNHCR

1 0.47%

Both Government & NGOs

2 0.95%

Both govt and NGOs

3 1.42%

Church of Uganda

1 0.47%

International rescue commitee

1 0.47%

managed by both the Government and International rescue commitee

1 0.47%

managed by International Rescue commitee

1 0.47%

managed by International Rescue commitee and government assistsin giving drugs

1 0.47%

managed by international rescue commitee but akso assisted by Government in the supply of drugs

1 0.47%

managed by missionary and also aided by government

1 0.47%

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Value Label Cases Percentage

Private assisted by Outreach Uganda an NGO abd Government

1 0.47%

PRIVATE BUT NOT FOR PROFIT

1 0.47%

supported by Hoima diocese and the government

1 0.47%

# cs4q7: What is the level of this health facility?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=209 /-] [Invalid=1 /-] [Mean=6.77033492822966 /-] [StDev=21.0930830893496 /-]

Literal Question What is the level of this health facility?

Value Label Cases Percentage

1 Health Center II 70 33.33%

2 Health Center III 95 45.23%

3 Health Center IV 33 15.71%

96 Other (specify) 11 5.23%

NA 1 0.47%

# cs4q7_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=210 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the level of this health facility? - Other (specify)

Value Label Cases Percentage

199 94.76%

HOSPITAL 2 0.95%

private clinic

5 2.38%

private hospital

1 0.47%

PRIVATE HOSPITAL

1 0.47%

REGIONAL REFERAL HOSPITAL

1 0.47%

small clinic 1 0.47%

File csec4c

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2520 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs4q45: Service

Information [Type= discrete] [Format= numeric] [Range= 1-12] [Missing=*]

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Statistics [NW/ W] [Valid=2520 /-] [Invalid=0 /-] [Mean=6.5 /-] [StDev=3.45273766450807 /-]

Literal Question Service

Value Label Cases Percentage

1 General outpatient 210 8.33%

2 Immunization for children 210 8.33%

3 Antenatal care 210 8.33%

4 Family planning 210 8.33%

5 Tuberculosis treatment 210 8.33%

6 STIs treatment 210 8.33%

7 Community and Outreach Services 210 8.33%

8 Laboratory 210 8.33%

9 Dental services 210 8.33%

10 General inpatient-medical 210 8.33%

11 General inpatient-surgical 210 8.33%

12 Deliveries 210 8.33%

# cs4q46: Is %rostertitle% offered at this health facility?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2520 /-] [Invalid=0 /-] [Mean=1.20873015873016 /-] [StDev=0.406481790506626 /-]

Literal Question Is [SERVICE] offered at this health facility?

Post-Question Text No (>NEXT SERVICE)

Value Label Cases Percentage

1 Yes 1994 79.12%

2 No 526 20.87%

# cs4q47: Do patients have to pay for %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1994 /-] [Invalid=526 /-] [Mean=1.94633901705115 /-] [StDev=0.225403996811195 /-]

Literal Question Do patients have to pay for [SERVICE]?

Post-Question Text No ( >>NEXT SERVICE)

Value Label Cases Percentage

1 Yes 107 4.24%

2 No 1887 74.88%

NA 526 20.87%

# cs4q47b: How much do patients pay on average for %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 0-1000000] [Missing=*]

Statistics [NW/ W] [Valid=107 /-] [Invalid=2413 /-] [Mean=42654.2056074766 /-] [StDev=109973.418984268 /-]

Literal Question How much do patients pay on average for [SERVICE]?

Value Label Cases Percentage

12 0.47%

1000 1 0.03%

2000 9 0.35%

3000 2 0.07%

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Value Label Cases Percentage

5000 10 0.39%

7000 3 0.11%

8000 1 0.03%

10000 5 0.19%

12000 1 0.03%

13000 1 0.03%

15000 5 0.19%

20000 11 0.43%

25000 2 0.07%

30000 12 0.47%

35000 1 0.03%

40000 7 0.27%

45000 2 0.07%

50000 7 0.27%

60000 1 0.03%

65000 1 0.03%

80000 2 0.07%

85000 2 0.07%

100000 1 0.03%

120000 2 0.07%

150000 3 0.11%

180000 1 0.03%

500000 1 0.03%

1000000 1 0.03%

NA 2413 95.75%

File csec4m

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# cs4q106__1: What are the MAJOR limiting factors faced by the health facility?:Delayed remitt

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=13 /-] [Invalid=196 /-] [Mean=1.84615384615385 /-] [StDev=0.688737231721194 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Delayed remittance of funds

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 4 1.91%

2 2nd most serious 7 3.34%

3 3rd most serious 2 0.95%

NA 196 93.77%

# cs4q106__2: What are the MAJOR limiting factors faced by the health facility?:Inadequate fun

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

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Statistics [NW/ W] [Valid=36 /-] [Invalid=173 /-] [Mean=2.16666666666667 /-] [StDev=0.87831006565368 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate funding

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 11 5.26%

2 2nd most serious 8 3.82%

3 3rd most serious 17 8.13%

NA 173 82.77%

# cs4q106__3: What are the MAJOR limiting factors faced by the health facility?:Inadequate fac

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=133 /-] [Invalid=76 /-] [Mean=1.86466165413534 /-] [StDev=0.746526856031336 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate facilities

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 47 22.48%

2 2nd most serious 57 27.27%

3 3rd most serious 29 13.87%

NA 76 36.36%

# cs4q106__4: What are the MAJOR limiting factors faced by the health facility?:Inadequate dru

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=108 /-] [Invalid=101 /-] [Mean=2.00925925925926 /-] [StDev=0.825927633343831 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate drugs

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 36 17.22%

2 2nd most serious 35 16.74%

3 3rd most serious 37 17.7%

NA 101 48.32%

# cs4q106__5: What are the MAJOR limiting factors faced by the health facility?:Inadequate cli

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=41 /-] [Invalid=168 /-] [Mean=2.26829268292683 /-] [StDev=0.7424415884062 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate clinical equipment

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 7 3.34%

2 2nd most serious 16 7.65%

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Value Label Cases Percentage

3 3rd most serious 18 8.61%

NA 168 80.38%

# cs4q106__6: What are the MAJOR limiting factors faced by the health facility?:Inadequate num

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=91 /-] [Invalid=118 /-] [Mean=1.75824175824176 /-] [StDev=0.765080378357716 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate number of staff

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 40 19.13%

2 2nd most serious 33 15.78%

3 3rd most serious 18 8.61%

NA 118 56.45%

# cs4q106__7: What are the MAJOR limiting factors faced by the health facility?:Inadequate sta

Information [Type= discrete] [Format= numeric] [Range= 3-3] [Missing=*]

Statistics [NW/ W] [Valid=1 /-] [Invalid=208 /-] [Mean=3 /-] [StDev=NA /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Inadequate staff skills

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

3 3rd most serious 1 0.47%

NA 208 99.52%

# cs4q106__8: What are the MAJOR limiting factors faced by the health facility?:Long distances

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=17 /-] [Invalid=192 /-] [Mean=2.17647058823529 /-] [StDev=0.808957208204416 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Long distances from service users

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 4 1.91%

2 2nd most serious 6 2.87%

3 3rd most serious 7 3.34%

NA 192 91.86%

# cs4q106__9: What are the MAJOR limiting factors faced by the health facility?:Negative attit

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=26 /-] [Invalid=183 /-] [Mean=2.03846153846154 /-] [StDev=0.773602959186131 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Negative attitudes of some service users

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Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 7 3.34%

2 2nd most serious 11 5.26%

3 3rd most serious 8 3.82%

NA 183 87.55%

# cs4q106__10: What are the MAJOR limiting factors faced by the health facility?:Low pay to sta

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=9 /-] [Invalid=200 /-] [Mean=2.22222222222222 /-] [StDev=0.666666666666667 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Low pay to staff

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 1 0.47%

2 2nd most serious 5 2.39%

3 3rd most serious 3 1.43%

NA 200 95.69%

# cs4q106__11: What are the MAJOR limiting factors faced by the health facility?:Insecurity

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=5 /-] [Invalid=204 /-] [Mean=2.2 /-] [StDev=1.09544511501033 /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Insecurity

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 2 0.95%

3 3rd most serious 3 1.43%

NA 204 97.6%

# cs4q106__12: What are the MAJOR limiting factors faced by the health facility?:Low staff mora

Information [Type= discrete] [Format= numeric] [Range= *-*] [Missing=*]

Statistics [NW/ W] [Valid=0 /-] [Invalid=209 /-] [Mean=* /-] [StDev=* /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Low staff morale

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

NA 209 100%

# cs4q106__96: What are the MAJOR limiting factors faced by the health facility?:Other (specify

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=106 /-] [Invalid=103 /-] [Mean=1.81132075471698 /-] [StDev=0.852036300894117 /-]

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Literal Question What are the MAJOR limiting factors faced by the health facility?- Other (specify)

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

Value Label Cases Percentage

1 Most serious 50 23.92%

2 2nd most serious 26 12.44%

3 3rd most serious 30 14.35%

NA 103 49.28%

# cs4q106_oth: Other (specify)

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What are the MAJOR limiting factors faced by the health facility?- Other (specify)

Interviewer Instructions - DO NOT READ LIST OUT TO RESPONDENTS- RANK UP TO 3 SOURCES BY IMPORTANCE

File csec9

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# E01: During the past 12 months, were farmers in this community visited by any agricul

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=3.27830188679245 /-] [StDev=1.06779701613844 /-]

Literal Question During the past 12 months, were farmers in this community visited by any agricultural extension worker(s)

Post-Question Text No>>A04

Value Label Cases Percentage

1 Yes, Govt 23 10.84%

2 Yes, private 30 14.15%

3 Yes, both private and government 24 11.32%

4 No 135 63.67%

# E02__1: What were the types of extension services offered?:Treatment of Animal diseases

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.324675324675325 /-] [StDev=0.471323959477824 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 52 24.52%

1 Yes 25 11.79%

NA 135 63.67%

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# E02__2: What were the types of extension services offered?:Control of crop diseases

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.285714285714286 /-] [StDev=0.454716304186724 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 55 25.94%

1 Yes 22 10.37%

NA 135 63.67%

# E02__3: What were the types of extension services offered?:Vaccination

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.168831168831169 /-] [StDev=0.377059167582259 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 64 30.18%

1 Yes 13 6.13%

NA 135 63.67%

# E02__4: What were the types of extension services offered?:Artificial insemination

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 77 36.32%

NA 135 63.67%

# E02__5: What were the types of extension services offered?:Advice on good agricultural p

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.493506493506494 /-] [StDev=0.503236279740196 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 39 18.39%

1 Yes 38 17.92%

NA 135 63.67%

# E02__6: What were the types of extension services offered?:Marketing

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.12987012987013 /-] [StDev=0.338364850990036 /-]

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Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 67 31.6%

1 Yes 10 4.71%

NA 135 63.67%

# E02__7: What were the types of extension services offered?:use of fertilizers

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.103896103896104 /-] [StDev=0.307126563334521 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 69 32.54%

1 Yes 8 3.77%

NA 135 63.67%

# E02__8: What were the types of extension services offered?:farm mechanization

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.012987012987013 /-] [StDev=0.113960576459638 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 76 35.84%

1 Yes 1 0.47%

NA 135 63.67%

# E02__9: What were the types of extension services offered?:Advice on credit services

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.025974025974026 /-] [StDev=0.160100788487652 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 75 35.37%

1 Yes 2 0.94%

NA 135 63.67%

# E02__10: What were the types of extension services offered?:Environmental conservation

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.0909090909090909 /-] [StDev=0.289364920846097 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

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Value Label Cases Percentage

No 70 33.01%

1 Yes 7 3.3%

NA 135 63.67%

# E02__96: What were the types of extension services offered?:Other(specify)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=0.168831168831169 /-] [StDev=0.377059167582259 /-]

Literal Question IF YES IN A01; What were the types of extension services offered?

Interviewer Instructions READ OUT

Value Label Cases Percentage

No 64 30.18%

1 Yes 13 6.13%

NA 135 63.67%

# E02b: Others

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES IN A01; What were the types of extension services offered? - Other (specify)

Value Label Cases Percentage

199 93.86%

BACK YARD AGRICULTURAL PRACTICES

1 0.47%

distributed cassava cuttings

1 0.47%

distributing heifers

1 0.47%

DISTRIBUTION OF INPUYS

1 0.47%

gave them oxen and sheep

1 0.47%

Good fishing practices

1 0.47%

How to work with other groups

1 0.47%

INPUT DISTRIBUTION

1 0.47%

safe and legal fishing sensitisation

1 0.47%

SEED DISTRIBUTION

3 1.41%

taught how to plant sunflower

1 0.47%

# E03: Do you comply with the services the EXTENSION officer gives?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=77 /-] [Invalid=135 /-] [Mean=1.50649350649351 /-] [StDev=0.528736742359028 /-]

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Literal Question Do you comply with the services the EXTENSION Officer gives?

Value Label Cases Percentage

1 Yes, Always 39 18.39%

2 Yes, Sometimes 37 17.45%

3 No 1 0.47%

NA 135 63.67%

# E04: Are there any irrigated fields in this community?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=1.93867924528302 /-] [StDev=0.240485588819288 /-]

Literal Question Are there any irrigated fields in this Community?

Value Label Cases Percentage

1 Yes 13 6.13%

2 No 199 93.86%

# E05: Do any farmers in this community use Organic fertilizers?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=2.70754716981132 /-] [StDev=0.505270442944448 /-]

Literal Question Do any farmers in this community use Organic Fertilizers?

Value Label Cases Percentage

1 Yes, most 5 2.35%

2 Yes, some 52 24.52%

3 No 155 73.11%

# E06: Do any farmers in this community use inorganic fertilizers?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=2.73584905660377 /-] [StDev=0.492635562067259 /-]

Literal Question Do any farmers in this community use inorganic Fertilizers?

Value Label Cases Percentage

1 Yes, most 5 2.35%

2 Yes, some 46 21.69%

3 No 161 75.94%

# E07: Do any farmers in this community use pesticides?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=2.61792452830189 /-] [StDev=0.542295833958009 /-]

Literal Question Do any farmers in this community use Pesticides?

Value Label Cases Percentage

1 Yes, most 6 2.83%

2 Yes, some 69 32.54%

3 No 137 64.62%

# E08: Do any farmers in this community use herbicides?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

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Statistics [NW/ W] [Valid=212 /-] [Invalid=0 /-] [Mean=2.88207547169811 /-] [StDev=0.33762402876329 /-]

Literal Question Do any farmers in this community use Herbicides?

Value Label Cases Percentage

1 Yes, most 1 0.47%

2 Yes, some 23 10.84%

3 No 188 88.67%

File cseccg

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=838 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# csnq0: Community groups

Information [Type= discrete] [Format= numeric] [Range= 301-304] [Missing=*]

Statistics [NW/ W] [Valid=838 /-] [Invalid=0 /-] [Mean=302.488066825776 /-] [StDev=1.11435762351756 /-]

Literal Question Community groups

Value Label Cases Percentage

301 Water user mgmt. Committees 211 25.17%

302 Village Health Teams 211 25.17%

303 Neighbourhood watch 212 25.29%

304 Food monitoring committees (for refugee communities only)

204 24.34%

# csnq5: Dose %rostertitle% exist within this community?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=838 /-] [Invalid=0 /-] [Mean=1.39260143198091 /-] [StDev=0.488620970346366 /-]

Literal Question Which of the following groups exist within this community?

Post-Question Text No>>NEXT PROJECT

Value Label Cases Percentage

1 Yes 509 60.73%

2 No 329 39.26%

File cseclp

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1692 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# lp1: Project

Information [Type= discrete] [Format= numeric] [Range= 401-496] [Missing=*]

Statistics [NW/ W] [Valid=1692 /-] [Invalid=0 /-] [Mean=415.309692671395 /-] [StDev=30.2759408889652 /-]

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Literal Question Project

Value Label Cases Percentage

401 Cash for work 212 12.52%

402 Poultry Keeping 212 12.52%

403 Seed distribution 212 12.52%

404 SACCO 212 12.52%

405 Goat rearing 212 12.52%

406 Tool distribution 212 12.52%

407 Vegetable growing (eg Okra) 212 12.52%

496 Other (Specify) 208 12.29%

# lp1_oth: Other (Specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1692 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Project - Other (Specify)

Value Label Cases Percentage

1487 87.88%

0 34 2%

Art and craft

1 0.05%

Basket weaving

1 0.05%

burial group 1 0.05%

Chalk making

1 0.05%

CULTURAL GROUP

1 0.05%

ECO PROJECT

1 0.05%

farmers group

1 0.05%

Fish group 1 0.05%

Fishfarming 1 0.05%

goat and poultry rearing are done individually and not in groups

1 0.05%

goat rearing and poutry are done on individual basis

1 0.05%

n 1 0.05%

N/A 1 0.05%

NA 1 0.05%

no 17 1%

No 7 0.41%

NO 3 0.17%

non 1 0.05%

none 75 4.43%

None 12 0.7%

NONE 28 1.65%

pamoja group

1 0.05%

Pesticides 1 0.05%

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Value Label Cases Percentage

PIG REARING

1 0.05%

please note that when itcomes to growing Okra,goat rearing,and seed distribution theyare done onindividual basis

1 0.05%

poultry keeping is done individually

1 0.05%

poultry rearingm okra growing and goat rearing are done on individaul basis

1 0.05%

Ruyonza group

1 0.05%

the growing of Okra is done here but on individual leveland nit in a group

1 0.05%

Tree planting group

1 0.05%

tufatane group

1 0.05%

VSLA 1 0.05%

women group

1 0.05%

Yahura Oyehoze

1 0.05%

youth group 1 0.05%

# lp3: Does %rostertitle% exist within this community?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1692 /-] [Invalid=0 /-] [Mean=1.87056737588652 /-] [StDev=0.335777388978517 /-]

Literal Question Which of the following projects exist within this community?

Post-Question Text No>>NEXT PROJECT

Value Label Cases Percentage

1 Yes 219 12.94%

2 No 1473 87.05%

# lp4: How many members does the %rostertitle% have?

Information [Type= discrete] [Format= numeric] [Range= 1-3000] [Missing=*]

Statistics [NW/ W] [Valid=209 /-] [Invalid=1483 /-] [Mean=53.2392344497608 /-] [StDev=223.609937234865 /-]

Literal Question How many members does the [PROJECT] have?

Value Label Cases Percentage

1 23 1.35%

2 3 0.17%

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Value Label Cases Percentage

3 3 0.17%

4 1 0.05%

5 1 0.05%

7 3 0.17%

8 1 0.05%

9 1 0.05%

10 15 0.88%

12 1 0.05%

15 18 1.06%

16 2 0.11%

17 1 0.05%

18 1 0.05%

19 1 0.05%

20 20 1.18%

23 1 0.05%

25 15 0.88%

26 3 0.17%

28 3 0.17%

29 1 0.05%

30 44 2.6%

32 2 0.11%

35 6 0.35%

36 1 0.05%

40 3 0.17%

41 1 0.05%

42 1 0.05%

43 1 0.05%

45 1 0.05%

48 1 0.05%

50 7 0.41%

52 1 0.05%

58 2 0.11%

60 2 0.11%

66 1 0.05%

74 1 0.05%

98 1 0.05%

100 5 0.29%

130 2 0.11%

150 1 0.05%

180 1 0.05%

250 1 0.05%

350 1 0.05%

400 1 0.05%

600 1 0.05%

1000 1 0.05%

3000 1 0.05%

NA 1483 87.64%

# lp5: How many female members does the %rostertitle% have?

Information [Type= discrete] [Format= numeric] [Range= 0-600] [Missing=*]

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Statistics [NW/ W] [Valid=209 /-] [Invalid=1483 /-] [Mean=23.1244019138756 /-] [StDev=55.0773392232651 /-]

Literal Question How many female members does the [PROJECT] have?

Value Label Cases Percentage

4 0.23%

1 26 1.53%

2 3 0.17%

3 3 0.17%

4 1 0.05%

5 12 0.7%

6 1 0.05%

7 3 0.17%

8 9 0.53%

9 4 0.23%

10 24 1.41%

12 7 0.41%

13 6 0.35%

15 19 1.12%

16 4 0.23%

17 4 0.23%

18 6 0.35%

19 3 0.17%

20 23 1.35%

21 3 0.17%

22 1 0.05%

23 5 0.29%

24 2 0.11%

25 3 0.17%

26 1 0.05%

27 1 0.05%

29 1 0.05%

30 8 0.47%

31 1 0.05%

33 1 0.05%

35 2 0.11%

40 3 0.17%

48 1 0.05%

50 2 0.11%

60 3 0.17%

70 2 0.11%

90 1 0.05%

97 1 0.05%

125 1 0.05%

220 1 0.05%

250 1 0.05%

400 1 0.05%

600 1 0.05%

NA 1483 87.64%

File csecn

# cid: Community identifier

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Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=630 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# ngo__id: NGO ID

Information [Type= discrete] [Format= numeric] [Range= 1-14] [Missing=*]

Statistics [NW/ W] [Valid=630 /-] [Invalid=0 /-] [Mean=3.63809523809524 /-] [StDev=2.6302283730832 /-]

Value Label Cases Percentage

1 166 26.34%

2 108 17.14%

3 90 14.28%

4 73 11.58%

5 53 8.41%

6 41 6.5%

7 35 5.55%

8 24 3.8%

9 19 3.01%

10 10 1.58%

11 6 0.95%

12 3 0.47%

13 1 0.15%

14 1 0.15%

# csnq1: NGO name

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=630 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question PLEASE RECORD THE NAMES OF ALL NONGOVERNMENTAL ORGANIZATIONS (NGOs) THAT ARE CURRENTLY OPERATING IN THE COMMUNITY, INCLUDING FARMER FIELD SCHOOLS.

# csnq2: What is the type of %rostertitle%?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=621 /-] [Invalid=9 /-] [Mean=3.25764895330113 /-] [StDev=11.2598900017168 /-]

Literal Question What is the type of [NGO]?

Value Label Cases Percentage

1 National 65 10.31%

2 International 547 86.82%

96 Other (specify) 9 1.42%

NA 9 1.42%

# csnq2_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=630 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the type of [NGO]?- Other (specify)

Value Label Cases Percentage

621 98.57%

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Value Label Cases Percentage

CATHOLIC CHURCH

1 0.15%

communal 2 0.31%

not applicable

4 0.63%

Not applicable

1 0.15%

PRIVATE 1 0.15%

# csnq3: When did the [NGO] begin work within this community?

Information [Type= discrete] [Format= numeric] [Range= 0-20013] [Missing=*]

Statistics [NW/ W] [Valid=620 /-] [Invalid=10 /-] [Mean=2112.66290322581 /-] [StDev=1237.8042564545 /-]

Literal Question When did the [NGO] begin work within this community?

Value Label Cases Percentage

4 0.63%

1 5 0.79%

2 2 0.31%

7 1 0.15%

10 1 0.15%

20 1 0.15%

1980 16 2.53%

1990 1 0.15%

1994 7 1.11%

1996 3 0.47%

1998 13 2.06%

2000 4 0.63%

2001 5 0.79%

2002 4 0.63%

2003 2 0.31%

2004 1 0.15%

2005 8 1.26%

2006 2 0.31%

2007 1 0.15%

2008 12 1.9%

2009 7 1.11%

2010 19 3.01%

2011 7 1.11%

2012 27 4.28%

2013 37 5.87%

2014 63 10%

2015 47 7.46%

2016 66 10.47%

2017 137 21.74%

2018 107 16.98%

9999 9 1.42%

20013 1 0.15%

NA 10 1.58%

# csnq4__1: What is the main purpose of the [NGO]?:Health/Sanitation

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.34887459807074 /-] [StDev=0.476997811090643 /-]

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Literal Question What is the main purpose of the [NGO]?- Health/Sanitation

Value Label Cases Percentage

No 405 64.28%

1 Yes 217 34.44%

NA 8 1.26%

# csnq4__2: What is the main purpose of the [NGO]?:Domestic Water Sources

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.141479099678457 /-] [StDev=0.348795579451981 /-]

Literal Question What is the main purpose of the [NGO]?- Domestic Water Sources

Value Label Cases Percentage

No 534 84.76%

1 Yes 88 13.96%

NA 8 1.26%

# csnq4__3: What is the main purpose of the [NGO]?:Maternal/Child Nutrition

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.165594855305466 /-] [StDev=0.372015725914587 /-]

Literal Question What is the main purpose of the [NGO]?- Maternal/Child Nutrition

Value Label Cases Percentage

No 519 82.38%

1 Yes 103 16.34%

NA 8 1.26%

# csnq4__4: What is the main purpose of the [NGO]?:Education

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.290996784565916 /-] [StDev=0.454587604856137 /-]

Literal Question What is the main purpose of the [NGO]?- Education

Value Label Cases Percentage

No 441 70%

1 Yes 181 28.73%

NA 8 1.26%

# csnq4__5: What is the main purpose of the [NGO]?:Crop Production (Gen’l)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.0964630225080386 /-] [StDev=0.295462787326722 /-]

Literal Question What is the main purpose of the [NGO]?- Crop Production (Gen’l)

Value Label Cases Percentage

No 562 89.2%

1 Yes 60 9.52%

NA 8 1.26%

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# csnq4__6: What is the main purpose of the [NGO]?:Irrigation

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question What is the main purpose of the [NGO]?- Irrigation

Value Label Cases Percentage

No 622 98.73%

NA 8 1.26%

# csnq4__7: What is the main purpose of the [NGO]?:Sustainable Land Mgmt

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.0160771704180064 /-] [StDev=0.125873618952425 /-]

Literal Question What is the main purpose of the [NGO]?- Sustainable Land Mgmt

Value Label Cases Percentage

No 612 97.14%

1 Yes 10 1.58%

NA 8 1.26%

# csnq4__8: What is the main purpose of the [NGO]?:Forestry/Agro-Forestry

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.0160771704180064 /-] [StDev=0.125873618952425 /-]

Literal Question What is the main purpose of the [NGO]?- Forestry/Agro-Forestry

Value Label Cases Percentage

No 612 97.14%

1 Yes 10 1.58%

NA 8 1.26%

# csnq4__9: What is the main purpose of the [NGO]?:Livestock Production (Gen’l)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.0369774919614148 /-] [StDev=0.1888584133623 /-]

Literal Question What is the main purpose of the [NGO]?- Livestock Production (Gen’l)

Value Label Cases Percentage

No 599 95.07%

1 Yes 23 3.65%

NA 8 1.26%

# csnq4__10: What is the main purpose of the [NGO]?:Livestock Health

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.0209003215434084 /-] [StDev=0.14316581503875 /-]

Literal Question What is the main purpose of the [NGO]?- Livestock Health

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Value Label Cases Percentage

No 609 96.66%

1 Yes 13 2.06%

NA 8 1.26%

# csnq4__11: What is the main purpose of the [NGO]?:Fishing

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question What is the main purpose of the [NGO]?- Fishing

Value Label Cases Percentage

No 622 98.73%

NA 8 1.26%

# csnq4__96: What is the main purpose of the [NGO]?:Other(specify)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=622 /-] [Invalid=8 /-] [Mean=0.353697749196141 /-] [StDev=0.47850157820972 /-]

Literal Question What is the main purpose of the [NGO]?- Other(specify)

Value Label Cases Percentage

No 402 63.8%

1 Yes 220 34.92%

NA 8 1.26%

# csnq4_oth: Other(specify)

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=630 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the main purpose of the [NGO]?- Other(specify)

File csecsf

# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=149 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# SRR1: SFR1. Do you feel that refugees are secure/ safe in Uganda?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=147 /-] [Invalid=2 /-] [Mean=1.18367346938776 /-] [StDev=0.561558596257801 /-]

Literal Question Do you feel that refugees are secure/ safe in Uganda?

Post-Question Text - Secure/safe>>SF3- Somewhat secure/safe>>SF3

Value Label Cases Percentage

1 Secure/safe 130 87.24%

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Value Label Cases Percentage

2 Somewhat secure/safe 9 6.04%

3 Somewhat unsecure/unsafe 6 4.02%

4 Unsecure/unsafe 2 1.34%

NA 2 1.34%

# SFR2: SFR2. Why do you think they feel unsafe

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=8 /-] [Invalid=141 /-] [Mean=13.5 /-] [StDev=33.3552309026849 /-]

Literal Question Why do you think they feel unsafe?

Value Label Cases Percentage

1 Social problems 5 3.35%

3 Political problems 1 0.67%

4 Economic Problems 1 0.67%

96 Other (specify) 1 0.67%

NA 141 94.63%

# SFR2_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=149 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why do you think they feel unsafe?- Other (specify)

Value Label Cases Percentage

148 99.32%

wrangles between cattle keepers who cows to graze in their gardens

1 0.67%

# SFR2A: SFR2A.Has your sense of safety in your community or camp district changed in the

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=147 /-] [Invalid=2 /-] [Mean=1.57823129251701 /-] [StDev=0.495530296656503 /-]

Literal Question Has your sense of safety in your community or camp district changed in the last two months?

Value Label Cases Percentage

1 Yes 62 41.61%

2 No 85 57.04%

NA 2 1.34%

# SFR2B__1: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.204225352112676 /-] [StDev=0.404561445321542 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Limit number of movements outside my residence

Interviewer Instructions (Select all that apply)

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Value Label Cases Percentage

No 113 75.83%

1 Yes 29 19.46%

NA 7 4.69%

# SFR2B__2: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.267605633802817 /-] [StDev=0.444277929716617 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Only stay close to my residence

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 104 69.79%

1 Yes 38 25.5%

NA 7 4.69%

# SFR2B__3: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.345070422535211 /-] [StDev=0.47707404078986 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Only go out with another family member or tribal member

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 93 62.41%

1 Yes 49 32.88%

NA 7 4.69%

# SFR2B__4: SFR2B.What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.345070422535211 /-] [StDev=0.47707404078986 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Only go out during the day, stay inside at night

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 93 62.41%

1 Yes 49 32.88%

NA 7 4.69%

# SFR2B__5: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.0563380281690141 /-] [StDev=0.23138950880439 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Limit my visits to the latrine/shower facilities (camp only)

Interviewer Instructions (Select all that apply)

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Value Label Cases Percentage

No 134 89.93%

1 Yes 8 5.36%

NA 7 4.69%

# SFR2B__6: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.119718309859155 /-] [StDev=0.325780989962945 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Limit my visits to the communal kitchen (camp only)

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 125 83.89%

1 Yes 17 11.4%

NA 7 4.69%

# SFR2B__7: SFR2B.What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.359154929577465 /-] [StDev=0.481450958532622 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- Nothing

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 91 61.07%

1 Yes 51 34.22%

NA 7 4.69%

# SFR2B__8: SFR2B. What can be done in your community to make the refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=142 /-] [Invalid=7 /-] [Mean=0.0140845070422535 /-] [StDev=0.118256572423635 /-]

Literal Question What can be done in your community to make the refugees families feel safe?- I prefer not to answer

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 140 93.95%

1 Yes 2 1.34%

NA 7 4.69%

# SFR3: SFR3.How safe do you think it is for you or anyone in your family to walk during

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=145 /-] [Invalid=4 /-] [Mean=1.13793103448276 /-] [StDev=0.401744281145295 /-]

Literal Question How safe do you think it is for you or anyone in your family to walk during the day within the settlement?

Value Label Cases Percentage

1 Secure/safe 128 85.9%

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Value Label Cases Percentage

2 Somewhat secure/safe 14 9.39%

3 Somewhat unsecure/unsafe 3 2.01%

NA 4 2.68%

# SFR4: SFR4. How safe do you think it is for you or anyone in your family to walk durin

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=1.47222222222222 /-] [StDev=0.738022726396379 /-]

Literal Question How safe do you think it is for you or anyone in your family to walk during the evening within the settlement?

Value Label Cases Percentage

1 Secure/safe 95 63.75%

2 Somewhat secure/safe 32 21.47%

3 Somewhat unsecure/unsafe 15 10.06%

4 Unsecure/unsafe 2 1.34%

NA 5 3.35%

# SFR6: SFR6. How do you feel towards UNHCR refugee related activities in this community

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=145 /-] [Invalid=4 /-] [Mean=1.20689655172414 /-] [StDev=0.423224259638268 /-]

Literal Question How do you feel towards UNHCR?

Value Label Cases Percentage

1 Good 116 77.85%

2 Neutral/Indifferent 28 18.79%

3 Bad 1 0.67%

NA 4 2.68%

# SFR7: SFR7. How do you feel towards other NGO´s activities within this community?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=145 /-] [Invalid=4 /-] [Mean=1.2551724137931 /-] [StDev=0.496925412814019 /-]

Literal Question How do you feel towards other NGO´s activities within this community?

Value Label Cases Percentage

1 Good 112 75.16%

2 Indifferent/Neutral 29 19.46%

3 Bad 4 2.68%

NA 4 2.68%

# SFR8: SFR8. Would you think that not being a national of Uganda impacts on your safety

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=1.25694444444444 /-] [StDev=0.438473636333052 /-]

Literal Question Would you think that not being a national of Uganda impacts on your safety?

Value Label Cases Percentage

1 No 107 71.81%

2 Yes 37 24.83%

NA 5 3.35%

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# SFR9: SFR9. How would you describe your interaction with the Ugandan community and the

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=1.49305555555556 /-] [StDev=1.12813062638097 /-]

Literal Question How would you describe your interaction with the Ugandan community and the refugees in this community

Value Label Cases Percentage

1 Receptive 112 75.16%

2 Neutral/Indifferent 16 10.73%

3 Non-receptive 4 2.68%

4 Hostile 1 0.67%

5 No interaction 11 7.38%

NA 5 3.35%

# SFR11: SFR11. In the last 12 months, any refugees in this community ever been insulted,

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=1.8125 /-] [StDev=0.39167472590032 /-]

Literal Question In the last 12 months, were any refugees in this community ever were insulted, or threatened verbally or assaulted/ beaten?

Post-Question Text No<<SFR12

Value Label Cases Percentage

1 Yes 27 18.12%

2 No 117 78.52%

NA 5 3.35%

# SFR11A__1: SFR11A. Who were the perpetrators?:Ugandans

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=122 /-] [Mean=0.333333333333333 /-] [StDev=0.480384461415261 /-]

Literal Question Who were the perpetrators?- Ugandan's

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 18 12.08%

1 Yes 9 6.04%

NA 122 81.87%

# SFR11A__2: SFR11A. Who were the perpetrators?:Fellow Refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=122 /-] [Mean=0.703703703703704 /-] [StDev=0.465321626968075 /-]

Literal Question Who were the perpetrators?- Fellow Refugees

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 8 5.36%

1 Yes 19 12.75%

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Value Label Cases Percentage

NA 122 81.87%

# SFR11A__3: SFR11A. Who were the perpetrators?:Refugee Leaders

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=122 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who were the perpetrators?- Refugee Leaders

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 27 18.12%

NA 122 81.87%

# SFR11A__4: SFR11A. Who were the perpetrators?:Other Leaders (specify)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=122 /-] [Mean=0.037037037037037 /-] [StDev=0.192450089729875 /-]

Literal Question Who were the perpetrators?- Other Leaders (specify)

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 26 17.44%

1 Yes 1 0.67%

NA 122 81.87%

# SFR11A__5: SFR11A. Who were the perpetrators?:Unkown person

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=27 /-] [Invalid=122 /-] [Mean=0.111111111111111 /-] [StDev=0.320256307610174 /-]

Literal Question Who were the perpetrators?- Unknown person

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 24 16.1%

1 Yes 3 2.01%

NA 122 81.87%

# SRF11A_OTH: Other Leaders (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=149 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who were the perpetrators? - Other Leaders(specify)

Value Label Cases Percentage

148 99.32%

both refugees and Ugandans

1 0.67%

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# SFR12: SFR12. Do the refugee children in your community have any friends who are Uganda

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=145 /-] [Invalid=4 /-] [Mean=19.7862068965517 /-] [StDev=38.25629690487 /-]

Literal Question Do the refugee children in your community have any friends who are Ugandans?

Value Label Cases Percentage

1 Yes 101 67.78%

2 No 16 10.73%

97 N/A 8 5.36%

98 Dont Know 20 13.42%

NA 4 2.68%

# SFR13: SRF13. Do the refugee children share recreational spaces (play areas etc.) with

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=145 /-] [Invalid=4 /-] [Mean=19.1379310344828 /-] [StDev=37.7137649291886 /-]

Literal Question Do the refugee children share recreational spaces (play areas etc.) with Ugandans?

Value Label Cases Percentage

1 Yes 99 66.44%

2 No 19 12.75%

97 N/A 8 5.36%

98 Dont Know 19 12.75%

NA 4 2.68%

# SFR14__1: SFR14. Who do refugees contact when faced with a safety/security problem?:Contac

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Contact no one - do nothing

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 144 96.64%

NA 5 3.35%

# SFR14__2: SFR14. Who do refugees contact when faced with a safety/security problem?:Other

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.159722222222222 /-] [StDev=0.36762694766512 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Other family member

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 121 81.2%

1 Yes 23 15.43%

NA 5 3.35%

# SFR14__3: SFR14. Who do refugees contact when faced with a safety/security problem?:fellow

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.256944444444444 /-] [StDev=0.438473636333052 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- fellow refugee

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 107 71.81%

1 Yes 37 24.83%

NA 5 3.35%

# SFR14__4: SFR14. Who do refugees contact when faced with a safety/security problem?:neighb

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.0625 /-] [StDev=0.242906353361736 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Neighbour

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 135 90.6%

1 Yes 9 6.04%

NA 5 3.35%

# SFR14__5: SFR14. Who do refugees contact when faced with a safety/security problem?:Police

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.784722222222222 /-] [StDev=0.412449521292737 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Police/local authorities

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 31 20.8%

1 Yes 113 75.83%

NA 5 3.35%

# SFR14__6: SFR14. Who do refugees contact when faced with a safety/security problem?:Religi

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.0347222222222222 /-] [StDev=0.183714374100045 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Religious leader

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 139 93.28%

1 Yes 5 3.35%

NA 5 3.35%

# SFR14__7: SFR14. Who do refugees contact when faced with a safety/security problem?:NGO st

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.284722222222222 /-] [StDev=0.452857198882432 /-]

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Literal Question Who do refugees contact when faced with a safety/security problem?- NGO staff

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 103 69.12%

1 Yes 41 27.51%

NA 5 3.35%

# SFR14__8: SFR14. Who do refugees contact when faced with a safety/security problem?:Street

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.180555555555556 /-] [StDev=0.385992097056273 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Street leader (for camp residents)

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 118 79.19%

1 Yes 26 17.44%

NA 5 3.35%

# SFR14__9: SFR14. Who do refugees contact when faced with a safety/security problem?:Syrian

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Ugandan lawyer

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 144 96.64%

NA 5 3.35%

# SFR14__10: SFR14. Who do refugees contact when faced with a safety/security problem?:Jordan

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Sudanese lawyer

Interviewer Instructions (Select all that apply)

Value Label Cases Percentage

No 144 96.64%

NA 5 3.35%

# SFR14__96: SFR14. Who do refugees contact when faced with a safety/security problem?:Other

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=144 /-] [Invalid=5 /-] [Mean=0.0972222222222222 /-] [StDev=0.297294195005282 /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Other (specify)

Interviewer Instructions (Select all that apply)

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Value Label Cases Percentage

No 130 87.24%

1 Yes 14 9.39%

NA 5 3.35%

# SFR14_OTH: Other (optional text)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=149 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who do refugees contact when faced with a safety/security problem?- Other (specify)

Value Label Cases Percentage

135 90.6%

camp commandant

1 0.67%

commandant

1 0.67%

Defence 1 0.67%

not so secure

1 0.67%

not sure 2 1.34%

office of the prime minister

1 0.67%

Office of the Prime Minister's staff

1 0.67%

OPM 3 2.01%

OPM AND UNHCR

1 0.67%

RWC 1 0.67%

RWC LEADER

1 0.67%

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# cid: Community identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Community identifier

# SRR1A: SFR1. Do you feel that refugees are secure/ safe in Uganda?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=1.140625 /-] [StDev=0.447818421441858 /-]

Literal Question Do you feel that refugees are secure/ safe in Uganda?

Post-Question Text - Secure/safe>>SF3- Somewhat secure/safe>>SF3

Value Label Cases Percentage

1 Secure/safe 114 89.06%

2 Somewhat secure/safe 11 8.59%

3 Somewhat unsecure/unsafe 2 1.56%

4 Unsecure/unsafe 1 0.78%

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# SFR2AA: SFR2. Why do you think they feel unsafe

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=3 /-] [Invalid=125 /-] [Mean=2.33333333333333 /-] [StDev=1.15470053837925 /-]

Literal Question Why do you think they feel unsafe?

Value Label Cases Percentage

1 Social problems 1 0.78%

3 Political problems 2 1.56%

NA 125 97.65%

# SFR6A: SFR6. How do you feel towards UNHCR refugee related activities in this community

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=1.4921875 /-] [StDev=0.575019256781276 /-]

Literal Question How do you feel towards UNHCR refugee related activities in this community?

Value Label Cases Percentage

1 Good 70 54.68%

2 Neutral/Indifferent 53 41.4%

3 Bad 5 3.9%

# SFR7A: SFR7. How do you feel towards other NGO´s activities within this community?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=1.4921875 /-] [StDev=0.588553461603408 /-]

Literal Question How do you feel towards other NGO´s activities within this community?

Value Label Cases Percentage

1 Good 71 55.46%

2 Neutral/Indifferent 51 39.84%

3 Bad 6 4.68%

# SFR8A: SFR8. Would you think that not being a national of Uganda impacts on your safety

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=1.22222222222222 /-] [StDev=0.417399355799961 /-]

Literal Question Would you think that not being a national of Uganda impacts on refugee’s safety?

Value Label Cases Percentage

1 No 98 76.56%

2 Yes 28 21.87%

NA 2 1.56%

# SFR9A: SFR9. How would you describe your interaction with the Ugandan community and the

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=1.8203125 /-] [StDev=1.30071811631507 /-]

Literal Question How would you describe your interaction with the Ugandan community and the refugees in this community?

Value Label Cases Percentage

1 Receptive 74 57.81%

2 Neutral/Indifferent 35 27.34%

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Value Label Cases Percentage

3 Non-receptive 2 1.56%

4 Hostile 2 1.56%

5 No interaction 15 11.71%

# SFR11AAA: SFR11. In the last 12 months, any refugees in this community ever been insulted,

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=1.9140625 /-] [StDev=0.281373004598052 /-]

Literal Question In the last 12 months, any refugees in this community ever been insulted, or threatened verbally or assaulted/beaten?

Value Label Cases Percentage

1 Yes 11 8.59%

2 No 117 91.4%

# SFR11AA__1: SFR11A. Who were the perpetrators?:Ugandans

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=11 /-] [Invalid=117 /-] [Mean=0.181818181818182 /-] [StDev=0.404519917477945 /-]

Literal Question Who were the perpetrators? - Ugandans

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 9 7.03%

1 Yes 2 1.56%

NA 117 91.4%

# SFR11AA__2: SFR11A. Who were the perpetrators?:Fellow Refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=11 /-] [Invalid=117 /-] [Mean=0.909090909090909 /-] [StDev=0.301511344577764 /-]

Literal Question Who were the perpetrators? - Fellow Refugees

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 1 0.78%

1 Yes 10 7.81%

NA 117 91.4%

# SFR11AA__3: SFR11A. Who were the perpetrators?:Refugee Leaders

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=11 /-] [Invalid=117 /-] [Mean=0.0909090909090909 /-] [StDev=0.301511344577764 /-]

Literal Question Who were the perpetrators? - Refugee Leaders

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 10 7.81%

1 Yes 1 0.78%

NA 117 91.4%

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# SFR11AA__4: SFR11A. Who were the perpetrators?:Other Leaders (specify)

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=11 /-] [Invalid=117 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who were the perpetrators? - Other Leaders (specify)

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 11 8.59%

NA 117 91.4%

# SFR11AA__5: SFR11A. Who were the perpetrators?:Unkown person

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=11 /-] [Invalid=117 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who were the perpetrators? - Unknown person

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

No 11 8.59%

NA 117 91.4%

# SFR12A: SFR12. Do the refugee children in your community have any friends who are Uganda

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=127 /-] [Invalid=1 /-] [Mean=30.6692913385827 /-] [StDev=44.5398083256348 /-]

Literal Question Do the refugee children in your community have any friends who are Ugandans?

Value Label Cases Percentage

1 Yes 76 59.37%

2 No 12 9.37%

97 N/A 27 21.09%

98 Dont Know 12 9.37%

NA 1 0.78%

# SFR13A: SRF13. Do the refugee children share recreational spaces (play areas etc.) with

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=30.46875 /-] [StDev=44.4550445309862 /-]

Literal Question Do the refugee children share recreational spaces (play areas etc.) with Ugandans?

Value Label Cases Percentage

1 Yes 75 58.59%

2 No 14 10.93%

97 N/A 25 19.53%

98 Dont Know 14 10.93%

# SFR14A: Have refugees faced problems or barriers in accessing services or assistance in

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=36.921875 /-] [StDev=46.5317788919615 /-]

Literal Question Have refugees faced problems or barriers in accessing services or assistance in your district?

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Value Label Cases Percentage

1 Yes 31 24.21%

2 No 50 39.06%

97 N/A 11 8.59%

98 Dont Know 36 28.12%

# SFR15A__1: How do refugees in your district presently get information on services that they

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=0.373015873015873 /-] [StDev=0.485536849009456 /-]

Literal Question How do refugees in your district presently get information on services that they need?- Radio/TV announcements

Value Label Cases Percentage

No 79 61.71%

1 Yes 47 36.71%

NA 2 1.56%

# SFR15A__2: How do refugees in your district presently get information on services that they

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=0.00793650793650794 /-] [StDev=0.0890870806374748 /-]

Literal Question How do refugees in your district presently get information on services that they need?- Flyers

Value Label Cases Percentage

No 125 97.65%

1 Yes 1 0.78%

NA 2 1.56%

# SFR15A__3: How do refugees in your district presently get information on services that they

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=0.5 /-] [StDev=0.501996015920445 /-]

Literal Question How do refugees in your district presently get information on services that they need?- Local community meetings

Value Label Cases Percentage

No 63 49.21%

1 Yes 63 49.21%

NA 2 1.56%

# SFR15A__4: How do refugees in your district presently get information on services that they

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=0.357142857142857 /-] [StDev=0.481070235442364 /-]

Literal Question How do refugees in your district presently get information on services that they need?- NGO community meetings

Value Label Cases Percentage

No 81 63.28%

1 Yes 45 35.15%

NA 2 1.56%

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# SFR15A__96: How do refugees in your district presently get information on services that they

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=126 /-] [Invalid=2 /-] [Mean=0.325396825396825 /-] [StDev=0.470393283614723 /-]

Literal Question How do refugees in your district presently get information on services that they need?- Other (specify)

Value Label Cases Percentage

No 85 66.4%

1 Yes 41 32.03%

NA 2 1.56%

# SRF15A_OTH: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question How do refugees in your district presently get information on services that they need?- Other (specify)

Value Label Cases Percentage

87 67.96%

area LC1 1 0.78%

community address system is used to inform thrm

1 0.78%

do not know 1 0.78%

Don't know 2 1.56%

don't know 4 3.12%

Don't know 21 16.4%

local leaders

1 0.78%

Mobile communication through speakers

1 0.78%

not so sure 1 0.78%

not sure 2 1.56%

own personal struggle

1 0.78%

They have their own councils who attend to them

1 0.78%

Through OPM

1 0.78%

UNHCR 3 2.34%

# SFR16A: Are refugees facing challenges to registering (for the first time) or renewing r

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=53.453125 /-] [StDev=48.1454259239813 /-]

Literal Question Are refugees facing challenges to registering (for the first time) or renewing registration specifically with UNHCR?

Value Label Cases Percentage

1 Yes 24 18.75%

2 No 35 27.34%

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Value Label Cases Percentage

97 N/A 14 10.93%

98 Dont Know 55 42.96%

# SFR17A: SFR17A: Are refugees facing challenges specific to housing or rental for the spa

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=128 /-] [Invalid=0 /-] [Mean=41.4140625 /-] [StDev=47.5503094277338 /-]

Literal Question Are refugees facing challenges specific to housing or rental for the space they are living in?

Value Label Cases Percentage

1 Yes 30 23.43%

2 No 45 35.15%

97 N/A 13 10.15%

98 Dont Know 40 31.25%

File hsec_bi

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# BL1__1: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.353621730382294 /-] [StDev=0.478213798011496 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Market/Shop within the settlements owned by Ugandans

Value Label Cases Percentage

no 1285 64.63%

1 yes 703 35.36%

# BL1__2: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.360160965794769 /-] [StDev=0.480167700789215 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Market/Shop within the settlements owned by Non-Ugandans

Value Label Cases Percentage

no 1272 63.98%

1 yes 716 36.01%

# BL1__3: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.494969818913481 /-] [StDev=0.500100492261212 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Market/Shop outside the settlements owned by Ugandans

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Value Label Cases Percentage

no 1004 50.5%

1 yes 984 49.49%

# BL1__4: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0482897384305835 /-] [StDev=0.21443173471498 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Market/Shop Outside the settlements owned by Non-Ugandans

Value Label Cases Percentage

no 1892 95.17%

1 yes 96 4.82%

# BL1__5: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.00704225352112676 /-] [StDev=0.0836431670335132 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Market/Shop across the Ugandan borders

Value Label Cases Percentage

no 1974 99.29%

1 yes 14 0.7%

# BL1__6: BL1 At which place do you or your family usually obtain/purchase food and bevera

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0382293762575453 /-] [StDev=0.191797797879636 /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Other (Specify)

Value Label Cases Percentage

no 1912 96.17%

1 yes 76 3.82%

# BL1_oth: BL1 Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question At which place do you or your family usually obtain/purchase food and beverages?- Other (Specify)

Value Label Cases Percentage

1912 96.17%

AUCTION AT DZAIPI

1 0.05%

Both ugandans and refugees shops

1 0.05%

COMMUNITY MARKET

1 0.05%

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Value Label Cases Percentage

DO NOT BUY

1 0.05%

doesn't buy 1 0.05%

Doesn't buy 1 0.05%

Doesnt buy 1 0.05%

donot buy 1 0.05%

free 1 0.05%

Garden 1 0.05%

host community

1 0.05%

Household doesn't buy

1 0.05%

If they're in his shop he picks them from there

1 0.05%

its a host community

1 0.05%

its a host community far away from the camps and goods are purchased at shops in the trading centre owned by ugandans

1 0.05%

market for Ugandans

1 0.05%

market owned by Ugandans

24 1.2%

Market owned by Ugandans

1 0.05%

market owned by Ugandans not in camps

1 0.05%

N/A 1 0.05%

not applicable

7 0.35%

own garden 2 0.1%

own garden and village market around

1 0.05%

Own garden and village market around

1 0.05%

owned by Ugandans

4 0.2%

Owned by Ugandans

1 0.05%

RESTAURANT

1 0.05%

Restaurants 2 0.1%

She buys often from her shop

1 0.05%

Shops in the trading center near the home

1 0.05%

Shops near the home. Not living in the camp

1 0.05%

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Value Label Cases Percentage

shops owned by Ugandans

4 0.2%

stays In a host community far away from the camps and buys goods in their trading centre

1 0.05%

their own shop

1 0.05%

THIS IS A UGANDAN HOUSEHOLD

1 0.05%

Trading center in the small town

1 0.05%

Trading center near the household

1 0.05%

UNHCR Intambabiniga distribution point

1 0.05%

within the camp own by both ugandan and foreigner's

1 0.05%

# BL2: BL2 At which place do you or your family usually obtain/purchase all other goods

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=5.27126321087066 /-] [StDev=16.5779125603521 /-]

Literal Question At which place do you or your family usually obtain/purchase all other goods: such as soap, toilet paper, sanitary towels, clothing? (Non-durable, semi-durable, and personal goods)

Value Label Cases Percentage

1 Market/Shop within the settlements owned by Ugandans

484 24.34%

2 Market/Shop within the settlements owned by Non-Ugandans

522 26.25%

3 Market/Shop outside the settlements owned by Ugandans

872 43.86%

4 Market/Shop Outside the settlements owned by Non-Ugandans

39 1.96%

5 Market/Shop across the Ugandan borders 6 0.3%

96 Other (Specify) 64 3.21%

NA 1 0.05%

# BL2_oth: BL2 Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question At which place do you or your family usually obtain/purchase all other goods: such as soap, toilet paper, sanitary towels, clothing? (Non-durable, semi-durable, and personal goods)- Other (Specify)

Value Label Cases Percentage

1924 96.78%

both 1 0.05%

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Value Label Cases Percentage

do not buy 2 0.1%

Do not buy 2 0.1%

DO NOT BUY

1 0.05%

does not buy

1 0.05%

Doesn't buy 2 0.1%

donations from UNHCR

1 0.05%

His own shop

1 0.05%

host community

1 0.05%

i havnt bought since i came from South Sudan

1 0.05%

its a host community

1 0.05%

market owned by Ubandans

1 0.05%

market owned by Ugandans

16 0.8%

Market owned by Ugandans

7 0.35%

Markets and shops near the home

1 0.05%

N/A 1 0.05%

Never bought

1 0.05%

not applicable

6 0.3%

owned by Ugandans

4 0.2%

Owned by Ugandans

1 0.05%

Shops and stores near the home. Not living in a settlement

1 0.05%

shops in the trading centre near home

1 0.05%

Shops nearby to home

1 0.05%

shops owned by Ugandans

4 0.2%

Shops owned by Ugandans

1 0.05%

shops owned by Ugandans and not in settlement

1 0.05%

THIS IS A UGANDAN HOUSEHOLD

1 0.05%

Trading center near the household

1 0.05%

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Value Label Cases Percentage

UNHCR Intambabiniga distribution point

1 0.05%

# BL3: BL3 At which place do you or your family usually obtain/purchase household appli

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=6.3427277302466 /-] [StDev=13.9221979000598 /-]

Literal Question At which place do you or your family usually obtain/purchase household appliances and equipment such as: electric iron, kettles, refrigerator, DVD´s , stoves, TV, radio, bicycle, computer, phone? (Semi-durable and durable goods)

Value Label Cases Percentage

1 Market/Shop within the settlements owned by Ugandans

184 9.25%

2 Market/Shop within the settlements owned by Non-Ugandans

111 5.58%

3 Market/Shop outside the settlements owned by Ugandans

674 33.9%

4 Market/Shop Outside the settlements owned by Non-Ugandans

30 1.5%

5 Market/Shop across the Ugandan borders 13 0.65%

6 DO NOT BUY 929 46.73%

96 Other (Specify) 46 2.31%

NA 1 0.05%

# BL3_oth: BL2 Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question At which place do you or your family usually obtain/purchase household appliances and equipment such as: electric iron, kettles, refrigerator, DVD´s , stoves, TV, radio, bicycle, computer, phone? (Semi-durable and durable goods)- Other (Specify)

Value Label Cases Percentage

1942 97.68%

Arua town 1 0.05%

From specialized stores in town

1 0.05%

from stores in the capital city centre

1 0.05%

host community

1 0.05%

its a host community

1 0.05%

market owned by Ubandans

2 0.1%

market owned by Ugandans

15 0.75%

Market owned by Ugandans

6 0.3%

not applicable

5 0.25%

Not Applicable

1 0.05%

owned by Ugandans

4 0.2%

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Value Label Cases Percentage

Shops of Ugandans not in the settlement

1 0.05%

shops owned by Ugandans

4 0.2%

Shops owned by Ugandans

1 0.05%

specialized stores in town

1 0.05%

super market in the city

1 0.05%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=110.308350100604 /-] [StDev=64.8999383953354 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=5.50452716297787 /-] [StDev=2.8628223863645 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 197 9.9%

2 194 9.75%

3 195 9.8%

4 208 10.46%

5 204 10.26%

6 200 10.06%

7 196 9.85%

8 195 9.8%

9 201 10.11%

10 198 9.95%

File hsec_hp

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# HP1: HP1 Has your household ever received a food voucher within the last 30 days?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=222 /-] [Mean=1.87770508303976 /-] [StDev=0.327708587033417 /-]

Literal Question Has your household ever received a food voucher within the last 30 days?

Post-Question Text No>>HP2

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Value Label Cases Percentage

1 Yes 243 11%

2 No 1744 78.94%

NA 222 10.04%

# HP1A: HP1A Who gave you this WFP food voucher most recently?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=243 /-] [Invalid=1966 /-] [Mean=6.02057613168724 /-] [StDev=6.54952434060583 /-]

Literal Question Who gave you this WFP food voucher most recently?-

Value Label Cases Percentage

1 Government of Uganda 3 0.13%

2 UNRWA 1 0.04%

3 UNHCR 130 5.88%

6 International NGO 4 0.18%

9 WFP 92 4.16%

10 AFORD 12 0.54%

96 Other (specify) 1 0.04%

NA 1966 88.99%

# HP1A_oth: HP1A Others specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this WFP food voucher most recently?- Other (specify)

Value Label Cases Percentage

2208 99.95%

family friend

1 0.04%

# HP2: HP2 Has your household ever received cash for food assistance within the last 30

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=221 /-] [Mean=1.90543259557344 /-] [StDev=0.292690113860701 /-]

Literal Question Has your household ever received cash for food assistance within the last 30 days?

Post-Question Text No>>HP4

Value Label Cases Percentage

1 Yes 188 8.51%

2 No 1800 81.48%

NA 221 10%

# HP2A: HP2A Who gave you this cash for food recently?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=188 /-] [Invalid=2021 /-] [Mean=13.7978723404255 /-] [StDev=26.9787318838096 /-]

Literal Question Who gave you this cash for food recently?

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Value Label Cases Percentage

1 Government of Uganda 20 0.9%

3 UNHCR 77 3.48%

4 UNICEF 1 0.04%

5 Other UN agencies 2 0.09%

6 International NGO 9 0.4%

7 Local NGO 1 0.04%

9 WFP 60 2.71%

96 Other (specify) 18 0.81%

NA 2021 91.48%

# HP2A_oth: HP2A Others specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this cash for food recently? - Other (specify)

Value Label Cases Percentage

2191 99.18%

a friend 1 0.04%

A friend 1 0.04%

DANISH REFRUGEE COUNCIL

1 0.04%

Daughter 1 0.04%

friend 1 0.04%

From a relative

1 0.04%

from relatives

1 0.04%

INTER AID 1 0.04%

jimmy the son to Evelyn

1 0.04%

parents 1 0.04%

PARENTS 1 0.04%

post bank Uganda

1 0.04%

relative 1 0.04%

Relative 1 0.04%

relatives 2 0.09%

Rwandan 1 0.04%

spouse 1 0.04%

# HP4: HP4 Has your household ever received food in-kind within the last 30 days?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=222 /-] [Mean=1.7081026673377 /-] [StDev=0.454749771866928 /-]

Literal Question Has your household ever received food in-kind within the last 30 days?

Post-Question Text No>> HP5

Value Label Cases Percentage

1 Yes 580 26.25%

2 No 1407 63.69%

NA 222 10.04%

# HP4A: HP4A Who gave you this food in kind?

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Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=580 /-] [Invalid=1629 /-] [Mean=39.6551724137931 /-] [StDev=43.4992115641878 /-]

Literal Question Who gave you this food in kind?

Value Label Cases Percentage

1 Government of Uganda 6 0.27%

3 UNHCR 134 6.06%

4 UNICEF 1 0.04%

5 Other UN agencies 8 0.36%

6 International NGO 39 1.76%

8 Religious organization 6 0.27%

9 WFP 170 7.69%

96 Other (specify) 216 9.77%

NA 1629 73.74%

# HP4A_oth: HP4A Others specify

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this food in kind?- Other (specify)

# HP5: HP5 Has your household ever received any FREE health care assistance?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=222 /-] [Mean=1.48414695520886 /-] [StDev=0.499874419823315 /-]

Literal Question Has your household ever received any FREE health care assistance? (e.g. immunization, medical checkups, drugs, treatment)

Post-Question Text No>>HP10

Value Label Cases Percentage

1 Yes 1025 46.4%

2 No 962 43.54%

NA 222 10.04%

# HP5A: HP5A Who gave you this assistance?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1025 /-] [Invalid=1184 /-] [Mean=4.37853658536585 /-] [StDev=11.1414523625491 /-]

Literal Question Who gave you this assistance?

Value Label Cases Percentage

1 Government of Uganda 553 25.03%

3 UNHCR 166 7.51%

4 UNICEF 6 0.27%

5 Other UN agencies 4 0.18%

6 International NGO 160 7.24%

7 Local NGO 3 0.13%

8 Religious organization 3 0.13%

9 Medical Teams International 116 5.25%

96 Other (specify) 14 0.63%

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Value Label Cases Percentage

NA 1184 53.59%

# HP5A_oth: HP5A Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this assistance? - Other (specify)

Value Label Cases Percentage

2195 99.36%

at work place

1 0.04%

friend 1 0.04%

INTERNATIONAL RESCUE COMMITTEE

5 0.22%

REAL MEDICAL FRONTIERS

1 0.04%

REAL MEDICINE FRONTIERS

3 0.13%

Relatives 2 0.09%

SAVE THE CHILDREN

1 0.04%

# HP10: HP10 Has your household ever received household items/non-food items (beddings,

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=221 /-] [Mean=1.73993963782696 /-] [StDev=0.438777636360808 /-]

Literal Question Has your household ever received household items/non-food items (beddings, cooking utensils, garden tools clothing, other items) assistance?

Post-Question Text No>>CB04

Value Label Cases Percentage

1 Yes 517 23.4%

2 No 1471 66.59%

NA 221 10%

# HP10A: HP10A Who gave you this cash/in-kind recently?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=517 /-] [Invalid=1692 /-] [Mean=6.99806576402321 /-] [StDev=18.3653173120535 /-]

Literal Question Who gave you this cash/in-kind recently?

Value Label Cases Percentage

1 Government of Uganda 28 1.26%

3 UNHCR 413 18.69%

4 UNICEF 2 0.09%

5 Other UN agencies 5 0.22%

6 International NGO 39 1.76%

7 Local NGO 4 0.18%

8 Religious organization 5 0.22%

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Value Label Cases Percentage

96 Other (specify) 21 0.95%

NA 1692 76.59%

# HP10A_oth: HP10A Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this cash/in-kind recently? - Other (specify)

Value Label Cases Percentage

2188 99.04%

AA JAPAN 1 0.04%

daughter and sons support

1 0.04%

family friend

1 0.04%

father 1 0.04%

Freinds and Neighbours

1 0.04%

friend 1 0.04%

friends 2 0.09%

Friends 1 0.04%

friends and relatives

1 0.04%

friends and relatives in the same camp with him

1 0.04%

Friends and relatives.

1 0.04%

lwf 1 0.04%

mukwano company

1 0.04%

Neighbors 1 0.04%

relatives 2 0.09%

Relatives 1 0.04%

save the children

1 0.04%

WFP 1 0.04%

WORLD VISION

1 0.04%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=112.288365776369 /-] [StDev=64.8035888106185 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=5.50158442734269 /-] [StDev=2.87261593452616 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 221 10%

2 220 9.95%

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Value Label Cases Percentage

3 221 10%

4 221 10%

5 221 10%

6 221 10%

7 221 10%

8 221 10%

9 221 10%

10 221 10%

File hsec_hs

# ShockRoster__id: Shock Name

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=45720 /-] [Invalid=0 /-] [Mean=16.0380796150481 /-] [StDev=18.1803947926075 /-]

Literal Question Shock name

Value Label Cases Percentage

1 Drought 1988 4.34%

2 Floods 1988 4.34%

4 Unusually high level of crop pests &amp; disease 1988 4.34%

5 Unusually high level of livestock disease 1988 4.34%

6 Unusually high costs of agricultural inputs 1988 4.34%

7 Unusually low prices of agricultural output 1988 4.34%

8 Serious illness of accident of income earner(s) 1988 4.34%

9 Serious illness of accident of other household member(s)

1988 4.34%

10 Death of other household member(s) 1988 4.34%

11 Theft of money/valuables/non-agricultural assets 1988 4.34%

12 Theft of agricultural assets/output (crop or livestock) 1988 4.34%

13 Conflict/Violence 1988 4.34%

14 Fire 1988 4.34%

15 Displacements 1988 4.34%

16 Loss of assets 1988 4.34%

17 Diseases 1988 4.34%

18 Accommodation 1988 4.34%

19 Loss of Employment 1988 4.34%

20 Loss of Business 1988 4.34%

21 Loss of household&nbsp; member 1988 4.34%

22 Family disintegration 1988 4.34%

23 Education 1987 4.34%

96 Other (Specify) 1985 4.34%

# shock_oths: Others Specify

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=45720 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Shock name - Otherv(specify)

# HS3: HS3 In the last 12 months, did you or any of your household members experience %

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

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Statistics [NW/ W] [Valid=45720 /-] [Invalid=0 /-] [Mean=1.94055118110236 /-] [StDev=0.236465388241724 /-]

Literal Question In the last 12 months, did you or any of your household members experience [SHOCK]?

Post-Question Text No>> NEXT SHOCK

Value Label Cases Percentage

1 Yes 2718 5.94%

2 No 43002 94.05%

# HS4: HS4 In the last 12 months, what did your household do in response to the %roster

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=2718 /-] [Invalid=43002 /-] [Mean=15.5805739514349 /-] [StDev=29.9226450518503 /-]

Literal Question In the last 12 months, what did your household do in response to the [SHOCK] to try to regain your former welfare level?

Interviewer Instructions Use coping strategies codes below

Value Label Cases Percentage

1 Unconditional help provided by relatives/friends 743 1.62%

2 Unconditional help provided by local government 182 0.39%

3 Changed dietary patterns involuntarily (Relied on less preferred food options, reduced the proportion or number of meals per day, skipped days without eating, etc…)

160 0.34%

4 Changed cropping practices (crop choices or technology)

376 0.82%

5 Household member(s) took on more non-farm (wage- or self-) employment

86 0.18%

6 Household member(s) took on more farm wage employment

112 0.24%

7 Household member(s) migrated 53 0.11%

9 Relied on savings 554 1.21%

10 Obtained credit 78 0.17%

11 Sold durable household assets (agricultural or non-agricultural)

15 0.03%

12 Sold land/building 1 0%

13 Rented out land/building 7 0.01%

14 Distress sales of animal stock 10 0.02%

15 Sent children to live elsewhere 6 0.01%

16 Reduced expenditures on health and education 8 0.01%

96 Other (specify) 327 0.71%

NA 43002 94.05%

# HS5: HS5 In the last month, have you or any of your household members experienced %ro

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2718 /-] [Invalid=43002 /-] [Mean=1.65121412803532 /-] [StDev=0.476673772026892 /-]

Literal Question In the last month have you or any of your household members experienced [SHOCK]?

Post-Question Text No>>NEXT SHOCK

Value Label Cases Percentage

1 Yes 948 2.07%

2 No 1770 3.87%

NA 43002 94.05%

# HS6: HS6 In the last month, what did your household do in response to the [SHOCK] to

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Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=948 /-] [Invalid=44772 /-] [Mean=23.2784810126582 /-] [StDev=36.8076492356143 /-]

Literal Question In the last month, what did your household do in response to the [SHOCK] to try to regain your former welfare level?

Interviewer Instructions Use coping strategies codes below

Value Label Cases Percentage

1 Unconditional help provided by relatives/friends 227 0.49%

2 Unconditional help provided by local government 67 0.14%

3 Changed dietary patterns involuntarily (Relied on less preferred food options, reduced the proportion or number of meals per day, skipped days without eating, etc…)

53 0.11%

4 Changed cropping practices (crop choices or technology)

91 0.19%

5 Household member(s) took on more non-farm (wage- or self-) employment

16 0.03%

6 Household member(s) took on more farm wage employment

41 0.08%

7 Household member(s) migrated 6 0.01%

9 Relied on savings 218 0.47%

10 Obtained credit 22 0.04%

11 Sold durable household assets (agricultural or non-agricultural)

5 0.01%

13 Rented out land/building 2 0%

14 Distress sales of animal stock 3 0%

15 Sent children to live elsewhere 1 0%

16 Reduced expenditures on health and education 4 0%

96 Other (specify) 192 0.41%

NA 44772 97.92%

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=45720 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

File hsec_hs_a

# HHID: Household ID

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# HS1a: HS1a Does any member of your household belong to or participate in a Agricultura

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.97181680926019 /-] [StDev=0.165537577261736 /-]

Literal Question Does any member of your household belong to or participate in an agricultural cooperation?

Value Label Cases Percentage

1 Yes 56 2.81%

2 No 1931 97.18%

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# HS1b: HS1b Does any member of your household belong to or participate in a Farmers' Gr

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.91394061399094 /-] [StDev=0.280522319788501 /-]

Literal Question Does any member of your household belong to or participate in a Farmers' Group?

Value Label Cases Percentage

1 Yes 171 8.6%

2 No 1816 91.39%

# HS1c: HS1c Does any member of your household belong to or participate in a Livestock A

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.98087569199799 /-] [StDev=0.136996402316614 /-]

Literal Question Does any member of your household belong to or participate in a Livestock Association?

Value Label Cases Percentage

1 Yes 38 1.91%

2 No 1949 98.08%

# HS1d: HS1d Does any member of your household belong to or participate in a Village sav

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.80825364871666 /-] [StDev=0.393773696619734 /-]

Literal Question Does any member of your household belong to or participate in a Village saving and loans association (VSLA)?

Value Label Cases Percentage

1 Yes 381 19.17%

2 No 1606 80.82%

# HS1e: HS1e Does any member of your household belong to or participate in a Business As

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.98691494715652 /-] [StDev=0.113667658855643 /-]

Literal Question Does any member of your household belong to or participate in a Business Association?

Value Label Cases Percentage

1 Yes 26 1.3%

2 No 1961 98.69%

# HS1f: HS1f Does any member of your household belong to or participate in a Women's gro

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.87166582788123 /-] [StDev=0.334545720234691 /-]

Literal Question Does any member of your household belong to or participate in a Women's group?

Value Label Cases Percentage

1 Yes 255 12.83%

2 No 1732 87.16%

# HS1g: HS1g Does any member of your household belong to or participate in a Farmer Fiel

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

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Statistics [NW/ W] [Valid=1986 /-] [Invalid=1 /-] [Mean=1.98640483383686 /-] [StDev=0.115832177989238 /-]

Literal Question Does any member of your household belong to or participate in a Farmer Field School (FFS)/Pastoral Field School (PFS)?

Value Label Cases Percentage

1 Yes 27 1.35%

2 No 1959 98.59%

NA 1 0.05%

# HS1h: HS1h Does any member of your household belong to or participate in a Youth group

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.97332662304982 /-] [StDev=0.161167553724174 /-]

Literal Question Does any member of your household belong to or participate in a Youth group?

Value Label Cases Percentage

1 Yes 53 2.66%

2 No 1934 97.33%

# HS1i: HS1i Does any member of your household belong to or participate in a Community p

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.98288877705083 /-] [StDev=0.129718531799856 /-]

Literal Question Does any member of your household belong to or participate in a Community police/Watch group?

Value Label Cases Percentage

1 Yes 34 1.71%

2 No 1953 98.28%

# HS1j: HS1j Does any member of your household belong to or participate in a Cultural gr

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.94715651736286 /-] [StDev=0.223777235030679 /-]

Literal Question Does any member of your household belong to or participate in a Cultural group?

Value Label Cases Percentage

1 Yes 105 5.28%

2 No 1882 94.71%

# HS1k: HS1k Does any member of your household belong to or participate in Other (Speci

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.97886260694514 /-] [StDev=0.143878497000566 /-]

Literal Question Does any member of your household belong to or participate in a Other (Specify)?

Value Label Cases Percentage

1 Yes 42 2.11%

2 No 1945 97.88%

# HS1k_oth: HS1k Other (Specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Literal Question Does any member of your household belong to or participate in a Other (Specify)?

Value Label Cases Percentage

1945 97.88%

A Church Group

1 0.05%

burial group 5 0.25%

Burial group

1 0.05%

Catering group

1 0.05%

Charity Project.

1 0.05%

choir 1 0.05%

CHURCH 8 0.4%

Church Organisations like Christian Women Fellowship -Pastoral care

1 0.05%

CHURCH COMMUNITY

5 0.25%

Development group

1 0.05%

elderly member who gets a grant from Government

1 0.05%

FOOD COMMITTEE

1 0.05%

Kisugu Joint Malwa

1 0.05%

livelihood group

1 0.05%

Local Council

1 0.05%

members of the church foundation

1 0.05%

MUSLIM COMMUNITY

2 0.1%

NAMUNGOONA AMBAXT DEVELOPMENT SAACO

1 0.05%

PD MOTHER FOR NUTRITION WITH PLAN

1 0.05%

RELIGIOUS COUNCIL

1 0.05%

Sacco 1 0.05%

village Health Team

1 0.05%

village Health Team

1 0.05%

village groups

1 0.05%

VILLAGE HEALTH TEAM

2 0.1%

# batch_num: Batch Number

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Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=110.362355309512 /-] [StDev=64.8715793296388 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=5.5047810770005 /-] [StDev=2.86352065536292 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 197 9.91%

2 194 9.76%

3 195 9.81%

4 208 10.46%

5 203 10.21%

6 200 10.06%

7 196 9.86%

8 195 9.81%

9 201 10.11%

10 198 9.96%

File hsec_sf

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

# SFR1: SFR1 Do you feel secure/ safe in Uganda?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.25714285714286 /-] [StDev=0.672390163669923 /-]

Literal Question Do you feel secure/ safe in Uganda?

Post-Question Text - Secure/safe>>SF3- Somewhat secure/safe>>SF3

Value Label Cases Percentage

1 Secure/safe 737 84.22%

2 Somewhat secure/safe 78 8.91%

3 Somewhat unsecure/unsafe 33 3.77%

4 Unsecure/unsafe 27 3.08%

# SFR2: SFR2. Why do you feel unsafe?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=60 /-] [Invalid=815 /-] [Mean=9.21666666666667 /-] [StDev=23.4239423122225 /-]

Literal Question Why do you feel unsafe?

Value Label Cases Percentage

1 Social problems 15 1.71%

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Value Label Cases Percentage

2 Cultural problems 2 0.22%

3 Political problems 6 0.68%

4 Economic Problems 33 3.77%

96 Other(specify) 4 0.45%

NA 815 93.14%

# SFR2b: SFR2b. Why do you feel unsafe? -OTHERS

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why do you feel unsafe? - Other (specify)

Value Label Cases Percentage

871 99.54%

food is not sufficient

1 0.11%

problems with neighbours

1 0.11%

She eats one type of food every day

1 0.11%

there are many diseases in Uganda, we now have hepatitis B

1 0.11%

# SFR3: SFR3 How safe do you think it is for you or anyone in your family to walk during

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.17142857142857 /-] [StDev=0.485823882410588 /-]

Literal Question How safe do you think it is for you or anyone in your family to walk during the day within the settlement?

Value Label Cases Percentage

1 Secure/safe 758 86.62%

2 Somewhat secure/safe 92 10.51%

3 Somewhat unsecure/unsafe 17 1.94%

4 Unsecure/unsafe 8 0.91%

# SFR4: SFR4 How safe do you think it is for you or anyone in your family to walk during

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.416 /-] [StDev=0.758307159588879 /-]

Literal Question How safe do you think it is for you or anyone in your family to walk during the evening within the settlement?

Value Label Cases Percentage

1 Secure/safe 625 71.42%

2 Somewhat secure/safe 167 19.08%

3 Somewhat unsecure/unsafe 52 5.94%

4 Unsecure/unsafe 31 3.54%

# SFR6: SFR6 How do you feel towards UNHCR?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

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Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.14057142857143 /-] [StDev=0.473206253362782 /-]

Literal Question How do you feel towards UNHCR?

Value Label Cases Percentage

1 Good 797 91.08%

2 Bad 33 3.77%

3 Indifferent 45 5.14%

# SFR7: SFR7 How do you feel towards other NGO´s?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.31085714285714 /-] [StDev=0.682778394066279 /-]

Literal Question How do you feel towards other NGO´s?

Value Label Cases Percentage

1 Good 713 81.48%

2 Bad 52 5.94%

3 Indifferent 110 12.57%

# SFR8: SFR8 Would you think that not being a national of Uganda impacts on your safety?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=1 /-] [Mean=1.53890160183066 /-] [StDev=0.498769787307266 /-]

Literal Question Would you think that not being a national of Uganda impacts on your safety?

Value Label Cases Percentage

1 Yes 403 46.05%

2 No 471 53.82%

NA 1 0.11%

# SFR9: SFR9 How would you describe your interaction with the Ugandan community where yo

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.49485714285714 /-] [StDev=1.07004504767492 /-]

Literal Question How would you describe your interaction with the Ugandan community where you live?

Value Label Cases Percentage

1 Receptive 652 74.51%

2 Neutral/Indifferent 136 15.54%

3 Non-receptive 22 2.51%

4 Hostile 7 0.8%

5 No interaction 58 6.62%

# SFR10: SFR10 During the last 12 months, did you ever feel unsafe interacting with Ugand

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=2.75314285714286 /-] [StDev=0.493294692330588 /-]

Literal Question During the last 12 months, did you ever feel unsafe interacting with Ugandan Community

Value Label Cases Percentage

1 At all times 25 2.85%

2 Sometimes 166 18.97%

3 Never 684 78.17%

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File hsec_sf

# SFR11: SFR11 In the last 12 months, have you or your family ever been insulted, or thre

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.91885714285714 /-] [StDev=0.273210543917355 /-]

Literal Question In the last 12 months, have you or your family ever been insulted, or threatened verbally or assaulted/beaten?

Post-Question Text No>>SFR12

Value Label Cases Percentage

1 yes 71 8.11%

2 No 804 91.88%

# SFR11A__1: Who were the perpetrators?:Ugandans

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=71 /-] [Invalid=804 /-] [Mean=0.619718309859155 /-] [StDev=0.488911244738131 /-]

Literal Question Who were the perpetrators?- Ugandans

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

no 27 3.08%

1 yes 44 5.02%

NA 804 91.88%

# SFR11A__2: Who were the perpetrators?:Fellow Refugees

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=71 /-] [Invalid=804 /-] [Mean=0.422535211267606 /-] [StDev=0.497478551755491 /-]

Literal Question Who were the perpetrators?- Fellow refugees

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

no 41 4.68%

1 yes 30 3.42%

NA 804 91.88%

# SFR11A__3: Who were the perpetrators?:Refugee Leaders

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=71 /-] [Invalid=804 /-] [Mean=0.0140845070422535 /-] [StDev=0.118678165819385 /-]

Literal Question Who were the perpetrators?- Refugee Leaders

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

no 70 8%

1 yes 1 0.11%

NA 804 91.88%

# SFR11A__4: Who were the perpetrators?:Other Leaders (specify)

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Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=71 /-] [Invalid=804 /-] [Mean=0 /-] [StDev=0 /-]

Literal Question Who were the perpetrators?- Other Leaders (specify)

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

no 71 8.11%

NA 804 91.88%

# SFR11A__5: Who were the perpetrators?:Unknown person

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=71 /-] [Invalid=804 /-] [Mean=0.0422535211267606 /-] [StDev=0.202598809636177 /-]

Literal Question Who were the perpetrators?- Unknown person

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

no 68 7.77%

1 yes 3 0.34%

NA 804 91.88%

# SFR11Ab: SFR11Ab Others

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who were the perpetrators?- Others

Interviewer Instructions (Multiple responses)

Value Label Cases Percentage

875 100%

# SFR12: SFR12 Do the children in your household have any friends who are Ugandans?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.63657142857143 /-] [StDev=0.698502578080772 /-]

Literal Question Do the children in your household have any friends who are Ugandans?

Value Label Cases Percentage

1 yes 430 49.14%

2 No 333 38.05%

3 N/A 112 12.8%

# SFR13: SFR13 Do the children share recreational spaces (play areas etc.) with Ugandans?

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=1.59542857142857 /-] [StDev=0.70042624672435 /-]

Literal Question Do the children share recreational spaces (play areas etc.) with Ugandans?

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Value Label Cases Percentage

1 yes 463 52.91%

2 No 303 34.62%

3 N/A 109 12.45%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-219] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=65.0937142857143 /-] [StDev=57.4894708838417 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=875 /-] [Invalid=0 /-] [Mean=5.52571428571429 /-] [StDev=2.88453848565994 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 89 10.17%

2 88 10.05%

3 80 9.14%

4 89 10.17%

5 90 10.28%

6 85 9.71%

7 84 9.6%

8 92 10.51%

9 90 10.28%

10 88 10.05%

File hsec_wf

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.

Post-Question Text

# WF1: WF1 You were worried you would not have enough food to eat because of a lack of

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.54728370221328 /-] [StDev=4.36936741202594 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- You were worried you would not have enough food to eat because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 1285 64.63%

2 No 699 35.16%

98 Don't know 3 0.15%

99 Refused 1 0.05%

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# WF2: WF2 Still thinking about the last 30 days, was there a time when you were unable

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.41498993963783 /-] [StDev=3.10093848318483 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- Still thinking about the last 30 days, was there a time when you were unable to eat healthy and nutritious food because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 1355 68.15%

2 No 631 31.74%

98 Don't know 2 0.1%

# WF3: WF3 You ate only a few kinds of food because of a lack of money or other resourc

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.5 /-] [StDev=4.36962337678629 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- You ate only a few kinds of food because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 1379 69.36%

2 No 605 30.43%

98 Don't know 3 0.15%

99 Refused 1 0.05%

# WF4: WF4 You had to skip a meal because there was not enough money or other resources

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.68008048289738 /-] [StDev=3.79139831078761 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- You had to skip a meal because there was not enough money or other resources to get food?

Value Label Cases Percentage

1 Yes 925 46.52%

2 No 1060 53.31%

98 Don't know 2 0.1%

99 Refused 1 0.05%

# WF5: WF5 Still thinking about the last 30 days, was there a time when you ate less th

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.53672032193159 /-] [StDev=3.7826132192216 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- Still thinking about the last 30 days, was there a time when you ate less than you thought youshould because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 1209 60.81%

2 No 776 39.03%

98 Don't know 3 0.15%

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# WF6: WF6 Your household ran out of food because of a lack of money or other resources

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.79778672032193 /-] [StDev=4.86737597670714 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- Your household ran out of food because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 883 44.41%

2 No 1100 55.33%

98 Don't know 4 0.2%

99 Refused 1 0.05%

# WF7: WF7 You were hungry but did not eat because there was not enough money or other

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.85110663983903 /-] [StDev=4.87384521392469 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- You were hungry but did not eat because there was not enough money or other resources forfood?

Value Label Cases Percentage

1 Yes 778 39.13%

2 No 1205 60.61%

98 Don't know 3 0.15%

99 Refused 2 0.1%

# WF8: WF8 You went without eating for a whole day because of a lack of money or other

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=2.0785103170609 /-] [StDev=5.32365147719341 /-]

Literal Question Now I would like to ask some questions about food. During the last 30 days, was there a time when:- You went without eating for a whole day because of a lack of money or other resources?

Value Label Cases Percentage

1 Yes 423 21.27%

2 No 1558 78.37%

98 Don't know 3 0.15%

99 Refused 3 0.15%

NA 1 0.05%

# WF9: WF9 In the past 7 days, how often has your household had to rely on less preferr

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=3.09356136820926 /-] [StDev=2.74852731629344 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to rely on less preferred or less expensive food?

Value Label Cases Percentage

607 30.53%

1 109 5.48%

2 266 13.38%

3 202 10.16%

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Value Label Cases Percentage

4 131 6.58%

5 144 7.24%

6 44 2.21%

7 485 24.39%

# WF10: WF10 In the past 7 days, how often has your household reduced the number of meal

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.83450704225352 /-] [StDev=2.40140799339272 /-]

Literal Question In the past 7 days, how often (# of days) has your household reduced the number of meals eaten in a day?

Value Label Cases Percentage

980 49.29%

1 169 8.5%

2 279 14.03%

3 154 7.74%

4 71 3.57%

5 75 3.77%

6 21 1.05%

7 239 12.02%

# WF11: WF11 In the past 7 days, how often has your household had to borrow food, or rel

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.408450704225352 /-] [StDev=1.15753108922869 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to borrow food, or rely on help from a relative?

Value Label Cases Percentage

1655 83.24%

1 114 5.73%

2 118 5.93%

3 44 2.21%

4 16 0.8%

5 10 0.5%

6 1 0.05%

7 30 1.5%

# WF12: WF12 In the past 7 days, how often has your household had to purchase food on cr

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.272635814889336 /-] [StDev=0.894604806382352 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to purchase food on credit?

Value Label Cases Percentage

1745 87.77%

1 90 4.52%

2 84 4.22%

3 34 1.71%

4 16 0.8%

5 7 0.35%

6 1 0.05%

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Value Label Cases Percentage

7 11 0.55%

# WF14: WF14 In the past 7 days, how often has your household had to gather wild foods,

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.067907444668008 /-] [StDev=0.480014518616307 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to gather wild foods, “famine foods” or hunt?

Value Label Cases Percentage

1924 96.78%

1 33 1.65%

2 15 0.75%

3 8 0.4%

4 2 0.1%

5 1 0.05%

7 5 0.25%

# WF15: WF15 In the past 7 days, how often has your household had to harvest and consume

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.192655935613682 /-] [StDev=0.801738415880592 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to harvest and consumes immature crops?

Value Label Cases Percentage

1840 92.55%

1 40 2.01%

2 43 2.16%

3 35 1.76%

4 17 0.85%

5 3 0.15%

6 1 0.05%

7 9 0.45%

# WF16: WF16 In the past 7 days, how often has your household had to consume seed stock

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=0.114745848012079 /-] [StDev=0.563150908681022 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to consume seed stock that will be needed for next season?

Value Label Cases Percentage

1876 94.36%

1 47 2.36%

2 38 1.91%

3 9 0.45%

4 12 0.6%

5 2 0.1%

6 1 0.05%

7 2 0.1%

NA 1 0.05%

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# WF17: WF17 In the past 7 days, how often has your household had to send household memb

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0653923541247485 /-] [StDev=0.473504848392627 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to send household member elsewhere?

Value Label Cases Percentage

1934 97.28%

1 19 0.95%

2 14 0.7%

3 14 0.7%

4 2 0.1%

5 1 0.05%

7 4 0.2%

# WF18: WF18 In the past 7 days, how often has your household had to limit portion/ size

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=1.1172032193159 /-] [StDev=1.99441742889348 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to limit portion/ size

Value Label Cases Percentage

1340 67.4%

1 113 5.68%

2 171 8.6%

3 121 6.08%

4 58 2.91%

5 59 2.96%

6 6 0.3%

7 120 6.03%

# WF19: WF19 In the past 7 days, how often has your household had to reduce consumption

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.48692152917505 /-] [StDev=1.36360411596706 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to reduce consumption by adults in order for small children to eat?

Value Label Cases Percentage

1684 84.7%

1 58 2.91%

2 88 4.42%

3 48 2.41%

4 33 1.65%

5 38 1.91%

6 5 0.25%

7 34 1.71%

# WF20: WF20 In the past 7 days, how often has your household had to reduce consumption

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0719315895372233 /-] [StDev=0.547085328505911 /-]

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Literal Question In the past 7 days, how often (# of days) has your household had to reduce consumption by others so working members could eat?

Value Label Cases Percentage

1940 97.58%

1 9 0.45%

2 18 0.9%

3 10 0.5%

4 1 0.05%

5 3 0.15%

7 7 0.35%

# WF21: WF21 In the past 7 days, how often has your household had to go one entire day

Information [Type= discrete] [Format= numeric] [Range= 0-4] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.100603621730382 /-] [StDev=0.418422803517247 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to go one entire day without eating?

Value Label Cases Percentage

1851 93.1%

1 93 4.67%

2 27 1.35%

3 15 0.75%

4 2 0.1%

# WF22: WF22 In the past 7 days, how often has your household had to sell livestock?

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0125754527162978 /-] [StDev=0.218294636685566 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to sell livestock?

Value Label Cases Percentage

1976 99.39%

1 8 0.4%

2 1 0.05%

3 1 0.05%

5 1 0.05%

7 1 0.05%

# WF23: WF23 In the past 7 days, how often has your household had to beg for food?

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0970824949698189 /-] [StDev=0.569419962191471 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to beg for food?

Value Label Cases Percentage

1900 95.57%

1 36 1.81%

2 31 1.55%

3 12 0.6%

4 1 0.05%

6 1 0.05%

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Value Label Cases Percentage

7 7 0.35%

# WF24: WF24 In the past 7 days, how often has your household had to sell assets (other

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=0.0100654252642174 /-] [StDev=0.141561375767268 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to sell assets (other than livestock)?

Value Label Cases Percentage

1975 99.34%

1 6 0.3%

2 4 0.2%

3 2 0.1%

NA 1 0.05%

# WF25: WF25 In the past 7 days, how often has your household had to increase the sellin

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0387323943661972 /-] [StDev=0.385975587725417 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to increase the selling of firewood and charcoal)?

Value Label Cases Percentage

1959 98.54%

1 8 0.4%

2 10 0.5%

3 6 0.3%

5 2 0.1%

7 3 0.15%

# WF26: WF26 In the past 7 days, how often has your household had to rely on casual lab

Information [Type= discrete] [Format= numeric] [Range= 0-7] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=1 /-] [Mean=0.36436839456467 /-] [StDev=1.33550878965973 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to rely on casual labour?

Value Label Cases Percentage

1802 90.64%

1 32 1.6%

2 37 1.86%

3 28 1.4%

4 17 0.85%

5 13 0.65%

6 5 0.25%

7 53 2.66%

NA 1 0.05%

# WF27: WF27 In the past 7 days, how often has your household had to ask for loans from

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=0.0216297786720322 /-]

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[StDev=0.190448731775452 /-]

Literal Question In the past 7 days, how often (# of days) has your household had to ask for loans from Villages Savings and Loans Associations (VSLAs) and other institutions?

Value Label Cases Percentage

1955 98.34%

1 28 1.4%

3 5 0.25%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=110.308350100604 /-] [StDev=64.8999383953354 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=0 /-] [Mean=5.50452716297787 /-] [StDev=2.8628223863645 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 197 9.9%

2 194 9.75%

3 195 9.8%

4 208 10.46%

5 204 10.26%

6 200 10.06%

7 196 9.85%

8 195 9.8%

9 201 10.11%

10 198 9.95%

File hsec1

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question HOUSEHOLD SERIAL NO.:

# batch_num: batch_num

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=112.288365776369 /-] [StDev=64.8035888106185 /-]

Literal Question Batch Sequence Number

# s1aq2a: district

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question DISTRICT

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Value Label Cases Percentage

ADJUMANI

180 8.14%

ARUA 190 8.6%

HOIMA 180 8.14%

ISINGIRO 180 8.14%

KAMPALA 349 15.79%

KAMWENGE

170 7.69%

KIRYANDONGO

120 5.43%

KOBOKO 60 2.71%

KYEGEGWA

140 6.33%

LAMWO 100 4.52%

MOYO 100 4.52%

WAKISO 80 3.62%

YUMBE 360 16.29%

# s1aq8: Household Serial Number

Information [Type= discrete] [Format= numeric] [Range= 1-58] [Missing=*]

Statistics [NW/ W] [Valid=221 /-] [Invalid=1988 /-] [Mean=10.7239819004525 /-] [StDev=12.3840371769335 /-]

Literal Question Household Serial Number

Value Label Cases Percentage

1 15 0.67%

2 21 0.95%

3 16 0.72%

4 19 0.86%

5 14 0.63%

6 18 0.81%

7 17 0.76%

8 20 0.9%

9 20 0.9%

10 20 0.9%

11 1 0.04%

15 2 0.09%

16 2 0.09%

18 1 0.04%

19 1 0.04%

20 1 0.04%

22 2 0.09%

23 3 0.13%

24 2 0.09%

26 2 0.09%

29 1 0.04%

30 4 0.18%

31 1 0.04%

32 1 0.04%

34 1 0.04%

36 1 0.04%

37 1 0.04%

40 1 0.04%

41 1 0.04%

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Value Label Cases Percentage

44 1 0.04%

45 2 0.09%

47 1 0.04%

51 1 0.04%

52 1 0.04%

53 3 0.13%

54 2 0.09%

58 1 0.04%

NA 1988 89.99%

# hhid: Household ID

Information [Type= contin] [Format= numeric] [Range= 0-60] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=20.960615663196 /-] [StDev=16.5681723751496 /-]

Literal Question Household ID

# AG1: AG1. Did you or any member of your households OWN/HAVE ACCESS (USE RIGHTS) to an

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1988 /-] [Invalid=221 /-] [Mean=1.40040241448692 /-] [StDev=0.490103199832817 /-]

Literal Question Did you or any member of your households OWN/HAVE ACCESS (USE RIGHTS) to any land during the second cropping season of 2017(JULY TO DEC 2017)?

Post-Question Text No>> Livestock section

Value Label Cases Percentage

1 Yes 1192 53.96%

2 No 796 36.03%

NA 221 10%

# livestock: 15. Have you or anyone in your household owned any ANIMAL during the past 12 pas

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1985 /-] [Invalid=224 /-] [Mean=1.6911838790932 /-] [StDev=0.462121531003918 /-]

Literal Question Have you or anyone in your household owned any ANIMAL during the past 12 past months?

Value Label Cases Percentage

1 Yes 613 27.75%

2 No 1372 62.1%

NA 224 10.14%

# s1aq15: 15. IS HOUSEHOLD A REFUGEE HOUSEHOLD?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=1.56858306926211 /-] [StDev=0.495386169546257 /-]

Literal Question IS HOUSEHOLD A REFUGEE HOUSEHOLD?

Value Label Cases Percentage

1 Yes 953 43.14%

2 No 1256 56.85%

# day: Day

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Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Day

Value Label Cases Percentage

291 13.17%

01 93 4.21%

02 115 5.2%

03 129 5.83%

04 130 5.88%

05 131 5.93%

06 127 5.74%

07 157 7.1%

08 107 4.84%

09 94 4.25%

10 83 3.75%

11 86 3.89%

12 60 2.71%

13 51 2.3%

14 43 1.94%

15 56 2.53%

16 52 2.35%

17 60 2.71%

18 64 2.89%

19 43 1.94%

20 41 1.85%

21 40 1.81%

22 20 0.9%

23 20 0.9%

24 19 0.86%

25 3 0.13%

26 8 0.36%

27 12 0.54%

28 6 0.27%

29 13 0.58%

30 55 2.48%

# month: Month

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Month

Value Label Cases Percentage

291 13.17%

06 817 36.98%

07 1101 49.84%

# year: Year

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Literal Question Year

Value Label Cases Percentage

291 13.17%

2018 1918 86.82%

# day3: day3

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Value Label Cases Percentage

2170 98.23%

04 4 0.18%

05 2 0.09%

07 1 0.04%

09 1 0.04%

10 3 0.13%

11 3 0.13%

12 1 0.04%

13 4 0.18%

15 1 0.04%

17 4 0.18%

18 1 0.04%

19 4 0.18%

20 2 0.09%

21 1 0.04%

22 1 0.04%

23 1 0.04%

24 1 0.04%

27 2 0.09%

28 2 0.09%

# nonresp: Final household response rate

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=1.19284744228158 /-] [StDev=0.584308316775107 /-]

Literal Question RESPONSE CODE

Value Label Cases Percentage

1 Completed 1988 89.99%

2 Partially completed 16 0.72%

3 Not done 205 9.28%

# reason: Reason

Information [Type= discrete] [Format= numeric] [Range= 1-9] [Missing=*]

Statistics [NW/ W] [Valid=2008 /-] [Invalid=201 /-] [Mean=1.11354581673307 /-] [StDev=0.639238286820143 /-]

Literal Question Reason

Value Label Cases Percentage

1 completed 1933 87.5%

2 Partialy completed 6 0.27%

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Value Label Cases Percentage

3 No household member at home / no competent respondent at the time of visit

26 1.17%

4 Entire household absent for extended period of time 23 1.04%

5 Refused 5 0.22%

6 Dwelling vacant or address not a dwelling 12 0.54%

7 Dwelling destroyed 1 0.04%

8 Dwelling not found 1 0.04%

9 Other (specify) 1 0.04%

NA 201 9.09%

# district: District

Information [Type= discrete] [Format= numeric] [Range= 102-422] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=307.513807152558 /-] [StDev=110.463536324361 /-]

Literal Question District

Value Label Cases Percentage

102 KAMPALA 349 15.79%

113 WAKISO 80 3.62%

301 Adjumani 180 8.14%

303 Arua 190 8.6%

309 Moyo 100 4.52%

313 Yumbe 360 16.29%

319 Koboko 60 2.71%

326 Lamwo 100 4.52%

403 Hoima 180 8.14%

413 Kamwenge 170 7.69%

418 Isingiro 180 8.14%

421 Kiryandongo 120 5.43%

422 KYEGEGWA 140 6.33%

# HP3: HP3 Has your household ever received construction materials/shelter support?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=1335 /-] [Mean=1.51258581235698 /-] [StDev=0.50012776839926 /-]

Literal Question Has your household ever received construction materials/shelter support?

Post-Question Text No>>HC01

Value Label Cases Percentage

1 Yes 426 19.28%

2 No 448 20.28%

NA 1335 60.43%

# HP3A: HP3A Who gave you this support?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=426 /-] [Invalid=1783 /-] [Mean=6.58450704225352 /-] [StDev=17.1300532430393 /-]

Literal Question Who gave you this support?

Value Label Cases Percentage

1 Government of Uganda 5 0.22%

3 UNHCR 357 16.16%

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Value Label Cases Percentage

4 UNICEF 2 0.09%

5 Other UN agencies 5 0.22%

6 International NGO 39 1.76%

7 Local NGO 2 0.09%

8 Religious organisation 1 0.04%

96 Other(specify) 15 0.67%

NA 1783 80.71%

# HP3A_oth: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who gave you this support?- Other (Specify)

Value Label Cases Percentage

2194 99.32%

AMERICAN REFUGEE COMMITTEE

2 0.09%

Danish Refugee Council

1 0.04%

FIDA 1 0.04%

friend 5 0.22%

friends 2 0.09%

Friends 1 0.04%

InterAid 1 0.04%

LWF 1 0.04%

Parents 1 0.04%

File hsec2a

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Household identifier

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=3.98478534741739 /-] [StDev=2.83336754270516 /-]

Pre-Question Text We would like to make a complete list of household members in the last 12 months including guests who slept here last night and those that left the household permanently.

Literal Question Person ID

Value Label Cases Percentage

1 1982 19.2%

2 1775 17.2%

3 1587 15.37%

4 1370 13.27%

5 1100 10.65%

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Value Label Cases Percentage

6 822 7.96%

7 586 5.67%

8 409 3.96%

9 254 2.46%

10 158 1.53%

11 106 1.02%

12 60 0.58%

13 36 0.34%

14 27 0.26%

15 12 0.11%

16 6 0.05%

17 4 0.03%

18 3 0.02%

19 2 0.01%

20 2 0.01%

21 2 0.01%

22 2 0.01%

23 2 0.01%

24 2 0.01%

25 2 0.01%

26 1 0%

27 1 0%

28 1 0%

29 1 0%

30 1 0%

31 1 0%

32 1 0%

33 1 0%

# R02: Sex of the household member

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=1.51846109119101 /-] [StDev=0.499683284274219 /-]

Literal Question Sex

Value Label Cases Percentage

1 Male 4969 48.15%

2 Female 5350 51.84%

# R03: Relationship of household member to the head of the household

Information [Type= discrete] [Format= numeric] [Range= 1-11] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=3.19304196143037 /-] [StDev=2.02847199266044 /-]

Literal Question What is the relationship of [NAME] to the head of the household?

Value Label Cases Percentage

1 Head 2001 19.39%

2 Spouse 1073 10.39%

3 Son/daughter 5219 50.57%

4 Grand child 707 6.85%

5 Step child 97 0.94%

6 Parent of head or spouse 61 0.59%

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Value Label Cases Percentage

7 Sister/Brother of head or spouse 359 3.47%

8 Nephew/Niece 427 4.13%

9 Other relatives 260 2.51%

10 Servant 68 0.65%

11 Non-relative 47 0.45%

# R04: Residental status of household member

Information [Type= discrete] [Format= numeric] [Range= 1-8] [Missing=*]

Statistics [NW/ W] [Valid=10316 /-] [Invalid=3 /-] [Mean=1.32725862737495 /-] [StDev=0.859898587961682 /-]

Literal Question During the past 12 months, how many months did [NAME] live here?

Post-Question Text WRITE 12 IF ALWAYS PRESENT OR IF AWAY LESS THAN A MONTH AND SKIP TO R06

Value Label Cases Percentage

1 Usual member present 8261 80.05%

2 Usual member absent 1529 14.81%

3 Regular member present 49 0.47%

4 Regular member absent 318 3.08%

5 Guest 68 0.65%

6 Usual member who left hh more than 6 months ago 40 0.38%

7 Left permanently 34 0.32%

8 Died 17 0.16%

NA 3 0.02%

# R05: Duration stay in the household in the last 12 months

Information [Type= discrete] [Format= numeric] [Range= 0-12] [Missing=*]

Statistics [NW/ W] [Valid=10309 /-] [Invalid=10 /-] [Mean=11.0313318459598 /-] [StDev=2.82466683097844 /-]

Literal Question If [NAME] has not stayed for 12 months, what is the main reason for absence?

Value Label Cases Percentage

176 1.7%

1 110 1.06%

2 94 0.91%

3 302 2.92%

4 160 1.55%

5 54 0.52%

6 111 1.07%

7 43 0.41%

8 52 0.5%

9 41 0.39%

10 54 0.52%

11 28 0.27%

12 9084 88.03%

NA 10 0.09%

# R06: Main reasons for staying less than 12 months

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1224 /-] [Invalid=9095 /-] [Mean=16.4959150326797 /-] [StDev=29.7125225791636 /-]

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Literal Question What is the residential status of [NAME]?

Post-Question Text - Guest (>> NEXT PERSON)- Usual member who left hh more than 6 months ago (>> NEXT PERSON)- Left permanently (>>NEXT PERSON)

Value Label Cases Percentage

1 New born 246 2.38%

2 Returned home from abduction/displacement 7 0.06%

3 To escape insecurity from home area 140 1.35%

4 Bad living conditions at home 23 0.22%

5 To look for work 66 0.63%

6 Other economic reasons 55 0.53%

7 Education 379 3.67%

8 Marriage 52 0.5%

9 Divorce 4 0.03%

10 Deceased 17 0.16%

12 Looking for work elsewhere 37 0.35%

14 Illness 17 0.16%

18 Started own household 33 0.31%

96 Other specify 148 1.43%

NA 9095 88.13%

# R06b: Other reasons for staying less than 12 months

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the residential status of [NAME]?- Other (specify)

Post-Question Text - Guest (>> NEXT PERSON)- Usual member who left hh more than 6 months ago (>> NEXT PERSON)- Left permanently (>>NEXT PERSON)

# R07: Age in completed years

Information [Type= contin] [Format= numeric] [Range= 0-102] [Missing=*]

Statistics [NW/ W] [Valid=10146 /-] [Invalid=173 /-] [Mean=19.3476246796767 /-] [StDev=16.9759605282167 /-]

Literal Question How old is [NAME] in completed years?

# R08a: Day of birth

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=10144 /-] [Invalid=175 /-] [Mean=26.7786869085174 /-] [StDev=33.0248997867702 /-]

Literal Question What is [NAME’S] exact date of birth?- Day

Value Label Cases Percentage

1 1260 12.21%

2 391 3.78%

3 275 2.66%

4 259 2.5%

5 471 4.56%

6 249 2.41%

7 187 1.81%

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Value Label Cases Percentage

8 335 3.24%

9 251 2.43%

10 293 2.83%

11 217 2.1%

12 418 4.05%

13 203 1.96%

14 220 2.13%

15 385 3.73%

16 206 1.99%

17 203 1.96%

18 255 2.47%

19 167 1.61%

20 276 2.67%

21 190 1.84%

22 139 1.34%

23 193 1.87%

24 215 2.08%

25 323 3.13%

26 156 1.51%

27 162 1.56%

28 209 2.02%

29 98 0.94%

30 172 1.66%

31 64 0.62%

98 1702 16.49%

NA 175 1.69%

# R08b: Month of birth

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=10144 /-] [Invalid=175 /-] [Mean=15.1581230283912 /-] [StDev=28.5049094028956 /-]

Literal Question What is [NAME’S] exact date of birth?- Month

Value Label Cases Percentage

1 JANUARY 1510 14.63%

2 FEBRUARY 806 7.81%

3 MARCH 893 8.65%

4 APRIL 899 8.71%

5 MAY 907 8.78%

6 JUNE 726 7.03%

7 JULY 558 5.4%

8 AUGUST 622 6.02%

9 SEPTEMBER 564 5.46%

10 OCTOBER 568 5.5%

11 NOVEMBER 500 4.84%

12 DECEMBER 530 5.13%

98 DON'T KNOW 1061 10.28%

NA 175 1.69%

# R08c: Year of birth

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Information [Type= discrete] [Format= numeric] [Range= 99-9998] [Missing=*]

Statistics [NW/ W] [Valid=10145 /-] [Invalid=174 /-] [Mean=2019.48043371119 /-] [StDev=412.949096459083 /-]

Literal Question What is [NAME’S] exact date of birth?- Year

Value Label Cases Percentage

99 1 0%

1916 1 0%

1919 1 0%

1925 1 0%

1926 1 0%

1927 1 0%

1928 3 0.02%

1929 3 0.02%

1930 3 0.02%

1932 3 0.02%

1933 4 0.03%

1934 4 0.03%

1935 4 0.03%

1936 5 0.04%

1937 8 0.07%

1938 8 0.07%

1939 4 0.03%

1940 10 0.09%

1941 5 0.04%

1942 12 0.11%

1943 11 0.1%

1944 10 0.09%

1945 14 0.13%

1946 13 0.12%

1947 16 0.15%

1948 35 0.33%

1949 16 0.15%

1950 11 0.1%

1951 11 0.1%

1952 19 0.18%

1953 28 0.27%

1954 14 0.13%

1955 26 0.25%

1956 22 0.21%

1957 20 0.19%

1958 37 0.35%

1959 16 0.15%

1960 36 0.34%

1961 19 0.18%

1962 42 0.4%

1963 33 0.31%

1964 30 0.29%

1965 37 0.35%

1966 35 0.33%

1967 30 0.29%

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Value Label Cases Percentage

1968 48 0.46%

1969 35 0.33%

1970 36 0.34%

1971 41 0.39%

1972 60 0.58%

1973 92 0.89%

1974 45 0.43%

1975 68 0.65%

1976 67 0.64%

1977 65 0.62%

1978 94 0.91%

1979 88 0.85%

1980 73 0.7%

1981 68 0.65%

1982 121 1.17%

1983 104 1%

1984 89 0.86%

1985 85 0.82%

1986 134 1.29%

1987 102 0.98%

1988 157 1.52%

1989 121 1.17%

1990 154 1.49%

1991 125 1.21%

1992 172 1.66%

1993 188 1.82%

1994 154 1.49%

1995 126 1.22%

1996 180 1.74%

1997 141 1.36%

1998 209 2.02%

1999 200 1.93%

2000 266 2.57%

2001 227 2.19%

2002 237 2.29%

2003 245 2.37%

2004 277 2.68%

2005 317 3.07%

2006 311 3.01%

2007 306 2.96%

2008 336 3.25%

2009 348 3.37%

2010 390 3.77%

2011 338 3.27%

2012 386 3.74%

2013 379 3.67%

2014 401 3.88%

2015 352 3.41%

2016 387 3.75%

2017 345 3.34%

2018 165 1.59%

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Value Label Cases Percentage

9998 IF NOT KNOWN AND AFTER THOROUGHLY PROBING!

27 0.26%

NA 174 1.68%

# R09: Marital status of household member

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=6559 /-] [Invalid=3760 /-] [Mean=3.33053819179753 /-] [StDev=1.81205146936498 /-]

Pre-Question Text For persons 10 years and above

Literal Question What is the present marital status of [NAME]?

Value Label Cases Percentage

1 Married monogamous 2110 20.44%

2 Married polygamous 469 4.54%

3 Divorced/ Separated 365 3.53%

4 Widow/ Widower 373 3.61%

5 Never married 3242 31.41%

NA 3760 36.43%

# R10: Have a birth certificate

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=6099 /-] [Invalid=4220 /-] [Mean=3.21085423839974 /-] [StDev=5.72386959010445 /-]

Pre-Question Text For persons below 18 years

Literal Question Is [NAME]’s biological parent still alive?

Value Label Cases Percentage

1 Yes, only Father alive 116 1.12%

2 Yes, only Mother alive 808 7.83%

3 Yes, both parents are alive 4917 47.64%

4 No 236 2.28%

98 Don’t Know 22 0.21%

NA 4220 40.89%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=106.68620990406 /-] [StDev=64.1480798862944 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=10319 /-] [Invalid=0 /-] [Mean=5.48095745711794 /-] [StDev=2.88501633643835 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 1046 10.13%

2 1004 9.72%

3 1098 10.64%

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Value Label Cases Percentage

4 1053 10.2%

5 1056 10.23%

6 981 9.5%

7 968 9.38%

8 1019 9.87%

9 1036 10.03%

10 1058 10.25%

File hsec2b

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-18] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=3.97136752136752 /-] [StDev=2.62780450935801 /-]

Value Label Cases Percentage

1 866 18.5%

2 788 16.83%

3 717 15.32%

4 644 13.76%

5 526 11.23%

6 389 8.31%

7 273 5.83%

8 187 3.99%

9 109 2.32%

10 67 1.43%

11 49 1.04%

12 27 0.57%

13 16 0.34%

14 13 0.27%

15 5 0.1%

16 2 0.04%

17 1 0.02%

18 1 0.02%

# R12: In which country was (name) born?

Information [Type= discrete] [Format= numeric] [Range= 1-11] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=2.29230769230769 /-] [StDev=1.16954689495571 /-]

Literal Question In which country was [NAME] born?

Value Label Cases Percentage

1 Uganda 709 15.14%

2 South Sudan 2705 57.79%

3 DR of Congo 950 20.29%

4 Burundi 95 2.02%

5 Somalia 120 2.56%

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Value Label Cases Percentage

6 Rwanda 55 1.17%

7 Tanzania 1 0.02%

8 Ethiopia 4 0.08%

9 Kenya 4 0.08%

10 Eriterean 33 0.7%

11 Pakistan 4 0.08%

# R12_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question In which country was [NAME] born? - Other (Specify)

Value Label Cases Percentage

4643 99.2%

Eriterea 8 0.17%

Eriterean 1 0.02%

eritrea 2 0.04%

Eritrea 15 0.32%

Eritrean 4 0.08%

Erittea 2 0.04%

Erritea 1 0.02%

Pakistan 4 0.08%

# R13: What nationality is (name)?

Information [Type= discrete] [Format= numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=2.51047008547009 /-] [StDev=1.16399344347035 /-]

Literal Question What nationality is [NAME]?

Post-Question Text If R12 and R13==1<<Next module

Value Label Cases Percentage

1 Uganda 148 3.16%

2 South Sudan 2986 63.8%

3 DR of Congo 1162 24.82%

4 Burundi 107 2.28%

5 Somalia 147 3.14%

6 Rwanda 79 1.68%

7 Tanzania 1 0.02%

8 Ethiopia 3 0.06%

9 Kenya 3 0.06%

10 Eriterean 37 0.79%

11 Pakistan 6 0.12%

12 Russian 1 0.02%

# R13_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What nationality is [NAME]? - Other (Specify)

Post-Question Text If R12 and R13==1<<Next module

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Value Label Cases Percentage

4636 99.05%

Eritean 1 0.02%

Eriterea 5 0.1%

Eriterean 5 0.1%

Eritrea 1 0.02%

eritrean 4 0.08%

Eritrean 17 0.36%

Eritreans 1 0.02%

Erittea 1 0.02%

Erritea 3 0.06%

pakistan 3 0.06%

Pakistan 2 0.04%

Russian 1 0.02%

# R13_1: Does (name) have a birth certificate?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=4519 /-] [Invalid=161 /-] [Mean=4.57778269528657 /-] [StDev=10.4782116459215 /-]

Literal Question Does [NAME] have a birth certificate?

Post-Question Text If R12 and R13==1<<Next module

Value Label Cases Percentage

1 Yes, -given by GOU 387 8.26%

2 Yes, - issue by country of origin 385 8.22%

3 Yes, left it back home 706 15.08%

4 No 2985 63.78%

97 N/A 16 0.34%

98 DK 40 0.85%

NA 161 3.44%

# R14a: R14a When did(name) arrive to Uganda?

Information [Type= discrete] [Format= numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=3969 /-] [Invalid=711 /-] [Mean=6.87351977828168 /-] [StDev=3.40209060669223 /-]

Literal Question When did [NAME] arrive to Uganda?

Value Label Cases Percentage

1 JANUAR 284 6.06%

2 FEBRUA 301 6.43%

3 MARCH 251 5.36%

4 APRIL 320 6.83%

5 MAY 304 6.49%

6 JUNE 283 6.04%

7 JULY 355 7.58%

8 AUGUST 299 6.38%

9 SEPTEM 460 9.82%

10 OCTOBE 430 9.18%

11 NOVEMB 357 7.62%

12 DECEMB 325 6.94%

NA 711 15.19%

# R14b: R14a When did(name) arrive to Uganda?

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Information [Type= discrete] [Format= numeric] [Range= 15-20161] [Missing=*]

Statistics [NW/ W] [Valid=3971 /-] [Invalid=709 /-] [Mean=2016.30395366406 /-] [StDev=300.92170087485 /-]

Literal Question When did [NAME] arrive to Uganda?

Value Label Cases Percentage

15 1 0.02%

16 1 0.02%

50 1 0.02%

201 4 0.08%

217 1 0.02%

1986 1 0.02%

1987 1 0.02%

1988 2 0.04%

1989 3 0.06%

1990 2 0.04%

1992 1 0.02%

1994 11 0.23%

1995 2 0.04%

1996 11 0.23%

1997 6 0.12%

1998 8 0.17%

1999 5 0.1%

2000 8 0.17%

2001 6 0.12%

2002 14 0.29%

2003 12 0.25%

2004 1 0.02%

2005 5 0.1%

2006 6 0.12%

2007 24 0.51%

2008 54 1.15%

2009 53 1.13%

2010 48 1.02%

2011 53 1.13%

2012 173 3.69%

2013 178 3.8%

2014 327 6.98%

2015 224 4.78%

2016 1824 38.97%

2017 707 15.1%

2018 186 3.97%

2044 2 0.04%

2061 1 0.02%

2816 3 0.06%

20161 1 0.02%

NA 709 15.14%

# R15: R15 Since arriving to Uganda, has (name) been registered with the GoU?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=4519 /-] [Invalid=161 /-] [Mean=1.55277716308918 /-] [StDev=5.90111750745458 /-]

Literal Question Since arriving to Uganda, has [NAME] been registered with the GoU?

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Post-Question Text - Yes, document seen>>R17- Yes, document not seen>>R17

Value Label Cases Percentage

1 Yes, document seen 3843 82.11%

2 Yes, document not seen 456 9.74%

3 No 203 4.33%

97 N/A 13 0.27%

98 DK 4 0.08%

NA 161 3.44%

# R16: R16 Why has(name) not registered?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=203 /-] [Invalid=4477 /-] [Mean=23.4384236453202 /-] [StDev=36.6015460025944 /-]

Literal Question Why has [NAME] not registered?

Value Label Cases Percentage

1 Unaware of the process 3 0.06%

4 See no benefit in registration 4 0.08%

5 Waiting for registration 141 3.01%

7 Distance or difficulty of reaching the registration centre 14 0.29%

96 Other (specify) 41 0.87%

NA 4477 95.66%

# R16_oth: Other (specify)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why has [NAME] not registered?- Other (Specify)

Value Label Cases Percentage

4639 99.12%

Do not give rwandense

1 0.02%

has not got the time

1 0.02%

has not got time

1 0.02%

has not got time but he is interested

1 0.02%

hasn't got time

1 0.02%

He is not a refugee

1 0.02%

He is not a refugee he came to study

1 0.02%

He is not a refugee he came to study and going back after studies

1 0.02%

Indifferent 1 0.02%

missed the regeneration

1 0.02%

new born 1 0.02%

New born 2 0.04%

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Value Label Cases Percentage

NEW BORN

1 0.02%

No settlement for rwandense

1 0.02%

No settlement for rwandense

2 0.04%

not given 3 0.06%

not yet given

3 0.06%

parent is relaxed to register

6 0.12%

Parent is relaxed to register

1 0.02%

period for registering ended

2 0.04%

Registeted with UN

1 0.02%

registration completed

1 0.02%

she is going back to congo soon

1 0.02%

She is not a refugee

1 0.02%

since shes visiting,shes here on a temporary visa

2 0.04%

the day was to go and register, they all fell sick

1 0.02%

they were not given that rwandese are no longer given

1 0.02%

told him that they had no more settlement for rwandense

1 0.02%

# R17: R17 Does (name) have any relatives still living in country of origin?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=4519 /-] [Invalid=161 /-] [Mean=2.71475990263333 /-] [StDev=12.3648007232881 /-]

Literal Question Does [NAME] have any relatives still living in country of origin?

Value Label Cases Percentage

1 Yes 3959 84.59%

2 No 485 10.36%

97 N/A 11 0.23%

98 DK 64 1.36%

NA 161 3.44%

# R18: R18 Would (name) like to go back to his/her country of origin after the c

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=1655 /-] [Invalid=3025 /-] [Mean=3.02779456193353 /-]

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[StDev=12.4628279568998 /-]

Pre-Question Text FOR PERSONS 18 YEARS AND ABOVE

Literal Question Would [NAME] like to go back to his/her country of origin after the conflict?

Value Label Cases Percentage

1 Yes 985 21.04%

2 No 642 13.71%

97 N/A 2 0.04%

98 DK 26 0.55%

NA 3025 64.63%

# R20: R20 Is this place (CURRENT PLACE OF RESIDENCE) the first place of residence in U

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=4519 /-] [Invalid=161 /-] [Mean=2.05023235229033 /-] [StDev=9.75069488512553 /-]

Literal Question Is this place (CURRENT PLACE OF RESIDENCE) the first place of residence in Uganda for [NAME]?

Post-Question Text Yes>>R22

Value Label Cases Percentage

1 Yes 4244 90.68%

2 No 228 4.87%

97 N/A 41 0.87%

98 DK 6 0.12%

NA 161 3.44%

# R21a: R21a Which was (name) s first place of residence in Uganda?-District

Information [Type= discrete] [Format= numeric] [Range= 97-421] [Missing=*]

Statistics [NW/ W] [Valid=227 /-] [Invalid=4453 /-] [Mean=316.674008810573 /-] [StDev=111.487565810356 /-]

Literal Question Which was [NAME's] first place of residence in Uganda?

Interviewer Instructions RECORD DISTRICT NAME IN R21a AND PLACE OF RESIDENCE IN R21b

Value Label Cases Percentage

97 N/A 1 0.02%

101 KALANGALA 5 0.1%

102 KAMPALA 29 0.61%

103 KIBOGA 1 0.02%

112 KAYUNGA 2 0.04%

123 KYANKWANZI 3 0.06%

301 ADJUMANI 54 1.15%

303 ARUA 14 0.29%

309 MOYO 7 0.14%

326 LAMWO 9 0.19%

401 BUNDIBUGYO 1 0.02%

403 HOIMA 19 0.4%

404 KABALE 3 0.06%

408 KISORO 9 0.19%

410 MBARARA 5 0.1%

411 NTUNGAMO 3 0.06%

413 KAMWENGE 18 0.38%

414 KANUNGU 3 0.06%

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Value Label Cases Percentage

415 KYENJOJO 4 0.08%

418 ISINGIRO 34 0.72%

421 KIRYANDONGO 3 0.06%

NA 4453 95.14%

# R21b: R21b Which was (name)'s first place of residence in Uganda?-Settlement

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=228 /-] [Invalid=4452 /-] [Mean=39.7587719298246 /-] [StDev=27.8807824216098 /-]

Literal Question Which was [NAME's] first place of residence in Uganda?

Interviewer Instructions RECORD DISTRICT NAME IN R21a AND PLACE OF RESIDENCE IN R21b

Value Label Cases Percentage

1 Kampala 30 0.64%

5 Baratuku 5 0.1%

7 Boroli 6 0.12%

8 Elegu CP I 1 0.02%

12 Maaji II 9 0.19%

13 Maaji III 3 0.06%

15 Mungula I 3 0.06%

17 Nyumanzi 3 0.06%

18 Nyumanzi TC 1 0.02%

20 Olua I 4 0.08%

23 Pagrinya RC1 1 0.02%

24 Pagrinya RC2 3 0.06%

25 Agojo II 1 0.02%

26 Dzaipi 16 0.34%

27 Imvepi RC 4 0.08%

29 Ocea RC 3 0.06%

30 Rhino Camp 7 0.14%

33 Laufori 4 0.08%

36 Palorinya 3 0.06%

43 Ngomoromo 1 0.02%

46 Palabek RC 8 0.17%

49 Kyangwali 1 0.02%

50 Nyakabande TC 12 0.25%

51 Matanda 2 0.04%

52 Rwamwanja 21 0.44%

53 Nakivale 40 0.85%

55 Kiryandongo 1 0.02%

57 Kyaka II 9 0.19%

96 Others 26 0.55%

NA 4452 95.12%

# R21b_oth: R21b Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which was [NAME's] first place of residence in Uganda? - Other (Specify)

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Value Label Cases Percentage

4654 99.44%

Bugangezi 3 0.06%

Bugerere 2 0.04%

MUNSISA 1 0.02%

Not in a refugee settlement

1 0.02%

Not in a settlement

1 0.02%

Not in refugee

1 0.02%

Not in refugee settlement

3 0.06%

Not in settlement

1 0.02%

Not refugee settlement

1 0.02%

nyakinsa 3 0.06%

SINGA 4 0.08%

SINGA (AT THE LAKE)

1 0.02%

sipaguro 1 0.02%

Songa Kaiso

1 0.02%

SONGA KAISO

1 0.02%

Wawa 1 0.02%

# R22: R22 Was(name) displaced by the South Sudan Crisis (2013-2018)?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=3971 /-] [Invalid=709 /-] [Mean=3.00125912868295 /-] [StDev=12.6981919586502 /-]

Literal Question Was [NAME] displaced by the South Sudan Crisis (2013-2018)?

Post-Question Text Yes>>R24

Value Label Cases Percentage

1 Yes 2772 59.23%

2 No 1128 24.1%

97 N/A 68 1.45%

98 DK 3 0.06%

NA 709 15.14%

# R23: R23 Was (name) displaced by the recent DRC Crisis (2017-2018)?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=1128 /-] [Invalid=3552 /-] [Mean=1.96897163120567 /-] [StDev=4.04784101283764 /-]

Literal Question Was [NAME] displaced by the recent DRC Crisis (2017-2018)?

Value Label Cases Percentage

1 Yes 226 4.82%

2 No 900 19.23%

97 N/A 1 0.02%

98 DK 1 0.02%

NA 3552 75.89%

# batch_num: Batch Number

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Information [Type= contin] [Format= numeric] [Range= 1-219] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=63.1222222222222 /-] [StDev=55.540554294861 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=5.43098290598291 /-] [StDev=2.90115377033161 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 501 10.7%

2 493 10.53%

3 488 10.42%

4 433 9.25%

5 483 10.32%

6 444 9.48%

7 423 9.03%

8 503 10.74%

9 450 9.61%

10 462 9.87%

# interview__key: Uinque 8-digit long identifier of the interview

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4680 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

File hsec2c

# hh: Unique 32-character long identifier of the interview

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# interview__key: Uinque 8-digit long identifier of the interview

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# R00_ID1: PID of main respondent

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question PID of main respondent

Value Label Cases Percentage

1 699 79.97%

2 148 16.93%

3 15 1.71%

4 1 0.11%

5 4 0.45%

6 4 0.45%

7 3 0.34%

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# R24: R24 Think about your life before moving to Uganda and the household you were a p

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=873 /-] [Invalid=1 /-] [Mean=1.25200458190149 /-] [StDev=0.434412753433822 /-]

Literal Question Think about your life before moving to Uganda and the household you were a part of at that time. How has your household composition changed since then?

Post-Question Text No>>R28

Value Label Cases Percentage

1 Yes 653 74.71%

2 No 220 25.17%

NA 1 0.11%

# R25: R25 How many members are no longer part of your household?

Information [Type= discrete] [Format= numeric] [Range= 0-36] [Missing=*]

Statistics [NW/ W] [Valid=653 /-] [Invalid=221 /-] [Mean=2.58805513016845 /-] [StDev=3.06228463121901 /-]

Literal Question How many members are no longer part of your household?

Value Label Cases Percentage

None 169 19.33%

1 136 15.56%

2 92 10.52%

3 73 8.35%

4 59 6.75%

5 33 3.77%

6 34 3.89%

7 16 1.83%

8 17 1.94%

9 8 0.91%

10 5 0.57%

11 1 0.11%

12 1 0.11%

13 4 0.45%

14 1 0.11%

15 1 0.11%

16 1 0.11%

20 1 0.11%

36 1 0.11%

NA 221 25.28%

# R26__1: Why?:They are still in country of origin

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.570247933884298 /-] [StDev=0.495552831904907 /-]

Literal Question Why?- They are still in country of origin

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 208 23.79%

1 yes 276 31.57%

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Value Label Cases Percentage

NA 390 44.62%

# R26__2: Why?:They are deceased

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.316115702479339 /-] [StDev=0.465439745141599 /-]

Literal Question Why?- They are deceased

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 331 37.87%

1 yes 153 17.5%

NA 390 44.62%

# R26__3: Why?:They are missing

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.0805785123966942 /-] [StDev=0.272468350647584 /-]

Literal Question Why?- They are missing

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 445 50.91%

1 yes 39 4.46%

NA 390 44.62%

# R26__4: Why?:They are imprisoned

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.00413223140495868 /-] [StDev=0.0642158552106484 /-]

Literal Question Why?- They are imprisoned

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 482 55.14%

1 yes 2 0.22%

NA 390 44.62%

# R26__5: Why?:They are working/studying somewhere else

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.0247933884297521 /-] [StDev=0.1556558244692 /-]

Literal Question Why?- They are working/studying somewhere else

Interviewer Instructions Multiple answers are allowed

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Value Label Cases Percentage

no 472 54%

1 yes 12 1.37%

NA 390 44.62%

# R26__6: Why?:Marriage/divorce

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.0702479338842975 /-] [StDev=0.255828820906653 /-]

Literal Question Why?- Marriage/divorce

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 450 51.48%

1 yes 34 3.89%

NA 390 44.62%

# R26__7: Why?:They joined a different household

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.115702479338843 /-] [StDev=0.320198764476548 /-]

Literal Question Why?- They joined a different household

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 428 48.97%

1 yes 56 6.4%

NA 390 44.62%

# R26__8: Why?:They formed their own household

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.0723140495867769 /-] [StDev=0.259275181217102 /-]

Literal Question Why?- They formed their own household

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 449 51.37%

1 yes 35 4%

NA 390 44.62%

# R26__9: Why?:Other (specify)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=484 /-] [Invalid=390 /-] [Mean=0.0103305785123967 /-] [StDev=0.101217711232568 /-]

Literal Question Why?- Other (specify)

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Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

no 479 54.8%

1 yes 5 0.57%

NA 390 44.62%

# R26_oth: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why?- Other (specify)

Interviewer Instructions Multiple answers are allowed

Value Label Cases Percentage

818 93.59%

- 3 0.34%

##N/A## 6 0.68%

0 4 0.45%

6 1 0.11%

because of the displacement in south sudan, they ended up in different camps

1 0.11%

GRAND PARENTS

1 0.11%

IN ANOTHER CAMP

2 0.22%

IN ANOTHER HOUSEHOLD AT THE BORDER

1 0.11%

MARRIED ANOTHER WIFE

1 0.11%

NA 1 0.11%

nome 1 0.11%

none 6 0.68%

None 8 0.91%

NONE 11 1.25%

not applicable

1 0.11%

one was left in congo

1 0.11%

separated 1 0.11%

they are in another settlement

1 0.11%

THEY ARE IN MVEPI REFUGEES SETTLEMENT

1 0.11%

They don't know what happened to them

1 0.11%

they left and went to kampala

1 0.11%

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Value Label Cases Percentage

they went to another camp

1 0.11%

went to another camp

1 0.11%

# R27: R27 How many new members joined?

Information [Type= discrete] [Format= numeric] [Range= 0-12] [Missing=*]

Statistics [NW/ W] [Valid=653 /-] [Invalid=221 /-] [Mean=1.29709035222052 /-] [StDev=1.7251142363122 /-]

Literal Question How many new members joined?

Value Label Cases Percentage

None 288 32.95%

1 162 18.53%

2 82 9.38%

3 45 5.14%

4 40 4.57%

5 15 1.71%

6 9 1.02%

7 4 0.45%

8 6 0.68%

9 1 0.11%

12 1 0.11%

NA 221 25.28%

# R28: R28 What is your relationship to the previous household head?

Information [Type= discrete] [Format= numeric] [Range= 1-11] [Missing=*]

Statistics [NW/ W] [Valid=220 /-] [Invalid=654 /-] [Mean=1.52272727272727 /-] [StDev=1.4252875439063 /-]

Literal Question What is your relationship to the previous household head?

Value Label Cases Percentage

1 Head 162 18.53%

2 Spouse 40 4.57%

3 Son/daughter 11 1.25%

7 Sister/Brother of head or spouse 3 0.34%

8 Nephew/Niece 1 0.11%

9 Other relatives 1 0.11%

11 Non-relative 2 0.22%

NA 654 74.82%

# R29: R29 Who in your household did you come with?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=873 /-] [Invalid=1 /-] [Mean=2.01374570446735 /-] [StDev=1.1402936264514 /-]

Literal Question Who in your household did you come with?

Value Label Cases Percentage

1 Entire household came together as one Unit 415 47.48%

2 The household head and some household members 177 20.25%

3 Some members without the household head 135 15.44%

4 Came alone 146 16.7%

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Value Label Cases Percentage

NA 1 0.11%

File hsec4

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=3.73959702146299 /-] [StDev=2.74293352834712 /-]

Value Label Cases Percentage

1 1967 21.53%

2 1734 18.98%

3 1422 15.57%

4 1171 12.82%

5 896 9.81%

6 667 7.3%

7 466 5.1%

8 297 3.25%

9 190 2.08%

10 113 1.23%

11 78 0.85%

12 48 0.52%

13 27 0.29%

14 17 0.18%

15 9 0.09%

16 5 0.05%

17 4 0.04%

18 3 0.03%

19 2 0.02%

20 2 0.02%

21 2 0.02%

22 1 0.01%

23 1 0.01%

24 1 0.01%

25 2 0.02%

26 1 0.01%

27 1 0.01%

28 1 0.01%

29 1 0.01%

31 1 0.01%

32 1 0.01%

33 1 0.01%

# E01_idE: RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Literal Question RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Value Label Cases Percentage

1 5915 64.77%

10 26 0.28%

11 11 0.12%

12 1 0.01%

13 1 0.01%

18 8 0.08%

2 2446 26.78%

3 363 3.97%

4 138 1.51%

5 81 0.88%

6 65 0.71%

7 34 0.37%

8 28 0.3%

9 15 0.16%

# E02: Can Name read and write with understanding in any language?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=2.16819973718791 /-] [StDev=2.98636417010495 /-]

Literal Question Can [NAME] read and write with understanding in any language?

Value Label Cases Percentage

1 Unable to read and write 3977 43.55%

2 Able to read only 399 4.36%

3 Able to read and write 4747 51.98%

4 Uses Braille 1 0.01%

97 N/A 4 0.04%

98 DK 4 0.04%

# E03: Has Name ever attended any formal school?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=2.47919404292597 /-] [StDev=4.04331285024635 /-]

Literal Question Has [NAME] ever attended any formal school?

Post-Question Text - Attended school in the past (>> E05)- Currently attending school (>>E12)

Value Label Cases Percentage

1 Never attended 1489 16.3%

2 Attended school in the past 3288 36%

3 Currently attending school 4339 47.51%

97 N/A 10 0.1%

98 DK 6 0.06%

# E04: What is the MAIN reason this hh member has not attended school?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=1489 /-] [Invalid=7643 /-] [Mean=8.78912021490934 /-] [StDev=13.4893372802523 /-]

Literal Question What is the MAIN reason [NAME] has not attended school?

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Post-Question Text >> NEXT PERSON

Value Label Cases Percentage

1 Too expensive 313 3.42%

2 Too far away 111 1.21%

4 Had to help at home 93 1.01%

5 Had to help with farm work 34 0.37%

6 Had to help with family business 3 0.03%

7 Education not useful 28 0.3%

8 Parents did not want 231 2.52%

9 Not willing to attend 58 0.63%

10 Too young 376 4.11%

11 Orphaned 110 1.2%

12 Displaced 4 0.04%

13 Disabled 28 0.3%

14 Insecurity 62 0.67%

25 Language barrier 1 0.01%

26 Different school systems 1 0.01%

27 Marriage 5 0.05%

96 Other 23 0.25%

97 N/A 2 0.02%

98 DK 6 0.06%

NA 7643 83.69%

# E04b: OTHER-What is the MAIN reason this hh member has not attended school?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the MAIN reason [NAME] has not attended school?- Other (Specify)

Post-Question Text >> NEXT PERSON

Value Label Cases Percentage

9109 99.74%

A dumb 1 0.01%

AVAILABLE NURSERY SCHOOL CLOSED DOWN AND TOO YOUNG FOR PRIMARY

1 0.01%

culture didnot allow girls to go to school during their time

1 0.01%

Disable 1 0.01%

Disease problem

1 0.01%

family could not afford

1 0.01%

he is abnormal can't talk

1 0.01%

mental disability

1 0.01%

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Value Label Cases Percentage

she is ill with epilepsy

1 0.01%

she was always sick

1 0.01%

SICKNESS 1 0.01%

that the child is stIll young

1 0.01%

the family didnt know the importance of education

1 0.01%

The head is waiting for next term so that Milongo Salomo can go to school

1 0.01%

The head of the house hold is waiting for the next term to begin so that she can take the children to school

1 0.01%

waiting on their visa to go the U.S.A

1 0.01%

waiting on their visa to go to the U.S.A

2 0.02%

waiting on their visa to go to the united states. they wil study from there

1 0.01%

war 1 0.01%

WAR 2 0.02%

Where she was stayingthere was no school

1 0.01%

# E05: What was the highest grade that Name completed

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=3288 /-] [Invalid=5844 /-] [Mean=2.41271289537713 /-] [StDev=5.18037732981623 /-]

Literal Question What was the highest grade that [NAME] completed?

Value Label Cases Percentage

1 Some primary 1668 18.26%

2 Completed Primary 368 4.02%

3 Some secondary 668 7.31%

4 Completed secondary 246 2.69%

5 Post-secondary 312 3.41%

6 Junior 17 0.18%

97 N/A 3 0.03%

98 DK 6 0.06%

NA 5844 63.99%

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# E09: Why did [NAME] leave school?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=3288 /-] [Invalid=5844 /-] [Mean=7.92913625304136 /-] [StDev=14.0397376928277 /-]

Literal Question Why did [NAME] leave school?

Post-Question Text >> NEXT PERSON

Value Label Cases Percentage

1 Completed desired schooling 325 3.55%

2 Further schooling not available 57 0.62%

3 Too expensive 1876 20.54%

4 Too far away 18 0.19%

5 Had to help at home 90 0.98%

6 Had to help with farm work 43 0.47%

7 Had to help with family business 9 0.09%

8 Poor school quality 5 0.05%

9 Parents did not want 95 1.04%

10 Not willing to attend further 161 1.76%

11 Poor academic progress 66 0.72%

12 Sickness or calamity in family 112 1.22%

13 Pregnancy 101 1.1%

25 Language barrier 4 0.04%

26 Different school systems 7 0.07%

27 Marriage 59 0.64%

28 Crisis/War 200 2.19%

96 Other 40 0.43%

97 N/A 2 0.02%

98 DK 18 0.19%

NA 5844 63.99%

# E09b: OTHER-Why did this hh member leave school?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why did [NAME] leave school?- Other (Specify)

Post-Question Text >> NEXT PERSON

Value Label Cases Percentage

9092 99.56%

Completed a nursing training course

1 0.01%

Disability problem

1 0.01%

eye problems

1 0.01%

Failure to have certificate from Congo

1 0.01%

Father died 1 0.01%

First went back to Somalia

1 0.01%

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Value Label Cases Percentage

HE BECAME AN ORPHAN

1 0.01%

HE COMPLETED PRIMARY FROM SUDAN AND HAS NO PLE CERTIFICATES OF UGANDAN TO REGISTER FOR O LEVEL EXAMS

1 0.01%

He fell sick 1 0.01%

HE IS DEATH

1 0.01%

Her parents had no money for her further schooling

1 0.01%

His parents had no money for his further schooling

1 0.01%

In senior six vacation

1 0.01%

INSECURITY

1 0.01%

lack of school fees

1 0.01%

looking for money

1 0.01%

Lost her father

1 0.01%

lost parents 2 0.02%

no one was able to buy him scholastic materials

1 0.01%

on vacation 1 0.01%

On vacation 1 0.01%

Orphan 1 0.01%

ORPHAN 2 0.02%

Orphaned 1 0.01%

ORPHANED

1 0.01%

orphanged 1 0.01%

parents had no money for his further schooling

1 0.01%

parents died 4 0.04%

parents had no money for his further schooling

1 0.01%

parents weren't so informed about the advantages of educating a child

1 0.01%

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Value Label Cases Percentage

person has a mental disability

1 0.01%

planning to enroll for a diploma in medicine

1 0.01%

pregnancy 1 0.01%

She's in her S6 vacation

1 0.01%

sickness 1 0.01%

# E12: What grade is [NAME] currently attending?

Information [Type= discrete] [Format= numeric] [Range= 1-61] [Missing=*]

Statistics [NW/ W] [Valid=4339 /-] [Invalid=4793 /-] [Mean=12.3885687946531 /-] [StDev=10.0902437143001 /-]

Literal Question What grade is [NAME] currently attending?

Value Label Cases Percentage

1 Attending nursery, kindergarten etc (lower than P.1) 953 10.43%

10 Attending P.1 623 6.82%

11 Attending P.2 561 6.14%

12 Attending P.3 517 5.66%

13 Attending P.4 453 4.96%

14 Attending P.5 346 3.78%

15 Attending P.6 253 2.77%

16 Attending P.7 162 1.77%

30 Attending S.1 96 1.05%

31 Attending S.2 83 0.9%

32 Attending S.3 77 0.84%

33 Attending S.4 53 0.58%

34 Attending S.5 30 0.32%

35 Attending S.6 20 0.21%

40 Attending post primary/junior specialized training or certificate or diploma

35 0.38%

50 Attending Post-secondary Specialized training or diploma

37 0.4%

61 Attending Degree and above 40 0.43%

NA 4793 52.48%

# E13: Who manages the school?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=4339 /-] [Invalid=4793 /-] [Mean=2.67550126757317 /-] [StDev=7.63821628634949 /-]

Literal Question Who manages/funds the school?

Value Label Cases Percentage

1 Gov’t 1760 19.27%

2 Private 1072 11.73%

3 NGO / religious organization 946 10.35%

4 UNHCR 500 5.47%

5 Community 33 0.36%

96 Other (specify) 20 0.21%

97 N/A 2 0.02%

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Value Label Cases Percentage

98 DK 6 0.06%

NA 4793 52.48%

# E13b: OTHER-Who manages the school?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who manages/funds the school?- Other (Specify)

Value Label Cases Percentage

9112 99.78%

AR JAPAN 2 0.02%

FINN CHURCH AID

1 0.01%

PLAN INTERNATIONAL

2 0.02%

save the children

1 0.01%

SAVE THE CHILDREN

5 0.05%

SAVE THE CHILDREN FUND

3 0.03%

WINDLE TRUST

2 0.02%

WORLD VISION

4 0.04%

# E57: Who manages the school?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=2216 /-] [Invalid=6916 /-] [Mean=6.24323104693141 /-] [StDev=20.8553212319194 /-]

Literal Question At the time of leaving the country where [NAME] lived before moving to Uganda, was [NAME] attending school?

Value Label Cases Percentage

1 Yes 1144 12.52%

2 No 961 10.52%

97 N/A 109 1.19%

98 DK 2 0.02%

NA 6916 75.73%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=106.914586070959 /-] [StDev=64.3026511662512 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=9132 /-] [Invalid=0 /-] [Mean=5.46561541830924 /-] [StDev=2.89104530337313 /-]

Literal Question SAMPLE NO.

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Value Label Cases Percentage

1 940 10.29%

2 895 9.8%

3 973 10.65%

4 938 10.27%

5 929 10.17%

6 868 9.5%

7 851 9.31%

8 881 9.64%

9 917 10.04%

10 940 10.29%

File hsec5

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=3.98248500096768 /-] [StDev=2.83314208364421 /-]

Literal Question Person ID

Value Label Cases Percentage

1 1990 19.25%

2 1777 17.19%

3 1589 15.37%

4 1371 13.26%

5 1101 10.65%

6 822 7.95%

7 586 5.67%

8 409 3.95%

9 255 2.46%

10 158 1.52%

11 106 1.02%

12 60 0.58%

13 36 0.34%

14 27 0.26%

15 12 0.11%

16 6 0.05%

17 4 0.03%

18 3 0.02%

19 2 0.01%

20 2 0.01%

21 2 0.01%

22 2 0.01%

23 2 0.01%

24 2 0.01%

25 2 0.01%

26 1 0%

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Value Label Cases Percentage

27 1 0%

28 1 0%

29 1 0%

30 1 0%

31 1 0%

32 1 0%

33 1 0%

# HE01: RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Value Label Cases Percentage

173 1.67%

-999999999 22 0.21%

1 6543 63.31%

10 25 0.24%

11 11 0.1%

12 2 0.01%

14 1 0%

18 2 0.01%

2 2869 27.76%

3 333 3.22%

4 139 1.34%

5 91 0.88%

6 56 0.54%

7 33 0.31%

8 25 0.24%

9 9 0.08%

# HE02: During the last 30 days, did [NAME] suffer from any illness or injury?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=10139 /-] [Invalid=195 /-] [Mean=1.89367787750271 /-] [StDev=4.29494769818203 /-]

Literal Question During the last 30 days, did [NAME] suffer from any illness or injury?

Post-Question Text - No (>> Next person)- DK>>Next person

Value Label Cases Percentage

1 Yes 2997 29%

2 No 7122 68.91%

97 N/A 1 0%

98 DK 19 0.18%

NA 195 1.88%

# HE03: How many times did [NAME] fall sick during the last 30 days?

Information [Type= discrete] [Format= numeric] [Range= 1-30] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=1.79746413079746 /-] [StDev=3.35116805690078 /-]

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Value Label Cases Percentage

1 2309 22.34%

2 407 3.93%

3 113 1.09%

4 46 0.44%

5 20 0.19%

6 7 0.06%

7 35 0.33%

8 3 0.02%

9 1 0%

10 6 0.05%

11 1 0%

12 2 0.01%

14 8 0.07%

16 1 0%

18 1 0%

20 1 0%

21 1 0%

24 1 0%

25 1 0%

30 33 0.31%

NA 7337 70.99%

# HE04: For how many days did [NAME] suffer due to illness or injury during the last 30

Information [Type= discrete] [Format= numeric] [Range= 1-30] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=8.24924924924925 /-] [StDev=7.56288303956217 /-]

Literal Question For how many days did [NAME] suffer due to illness or injury during the last 30 days?

Value Label Cases Percentage

1 57 0.55%

2 267 2.58%

3 412 3.98%

4 344 3.32%

5 323 3.12%

6 151 1.46%

7 663 6.41%

8 79 0.76%

9 25 0.24%

10 73 0.7%

11 8 0.07%

12 16 0.15%

13 6 0.05%

14 226 2.18%

15 24 0.23%

16 7 0.06%

17 2 0.01%

18 3 0.02%

20 34 0.32%

21 26 0.25%

24 4 0.03%

25 6 0.05%

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Value Label Cases Percentage

27 1 0%

28 5 0.04%

30 235 2.27%

NA 7337 70.99%

# HE06__1: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.045045045045045 /-] [StDev=0.207437573184475 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Diarrhoea (acute)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2862 27.69%

1 yes 135 1.3%

NA 7337 70.99%

# HE06__2: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00467133800467134 /-] [StDev=0.0681987427596496 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Diarrhoea (chronic, 1 month or more)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2983 28.86%

1 yes 14 0.13%

NA 7337 70.99%

# HE06__3: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.005005005005005 /-] [StDev=0.0705805719100507 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Weight loss (major)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2982 28.85%

1 yes 15 0.14%

NA 7337 70.99%

# HE06__4: Can you describe the major symptoms of the illness or injury that [NAME] primari

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Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.105772439105772 /-] [StDev=0.307597465098794 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Fever (acute)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2680 25.93%

1 yes 317 3.06%

NA 7337 70.99%

# HE06__5: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0463797130463797 /-] [StDev=0.21034114629799 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Fever (recurring)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2858 27.65%

1 yes 139 1.34%

NA 7337 70.99%

# HE06__6: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.434434434434434 /-] [StDev=0.495765233093159 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Malaria

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 1695 16.4%

1 yes 1302 12.59%

NA 7337 70.99%

# HE06__7: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.026026026026026 /-] [StDev=0.159239231453082 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Skin rash

Interviewer Instructions - Record up to 2 symptom codes- See code below

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Value Label Cases Percentage

no 2919 28.24%

1 yes 78 0.75%

NA 7337 70.99%

# HE06__8: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0600600600600601 /-] [StDev=0.23763773266405 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Weakness

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2817 27.25%

1 yes 180 1.74%

NA 7337 70.99%

# HE06__9: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.123123123123123 /-] [StDev=0.328633314901893 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Severe headache

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2628 25.43%

1 yes 369 3.57%

NA 7337 70.99%

# HE06__10: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00367033700367034 /-] [StDev=0.060482114815897 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Fainting

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2986 28.89%

1 yes 11 0.1%

NA 7337 70.99%

# HE06__11: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.033033033033033 /-] [StDev=0.178752659451334 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Chills (feeling hot and cold)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2898 28.04%

1 yes 99 0.95%

NA 7337 70.99%

# HE06__12: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0363697030363697 /-] [StDev=0.187239540830846 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Vomiting

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2888 27.94%

1 yes 109 1.05%

NA 7337 70.99%

# HE06__13: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.228228228228228 /-] [StDev=0.419760521994463 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Cough

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2313 22.38%

1 yes 684 6.61%

NA 7337 70.99%

# HE06__14: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00133466800133467 /-] [StDev=0.036514812766877 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Coughing blood

Interviewer Instructions - Record up to 2 symptom codes- See code below

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Value Label Cases Percentage

no 2993 28.96%

1 yes 4 0.03%

NA 7337 70.99%

# HE06__15: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00166833500166833 /-] [StDev=0.0408179811493746 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Pain on passing urine

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2992 28.95%

1 yes 5 0.04%

NA 7337 70.99%

# HE06__16: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00166833500166833 /-] [StDev=0.0408179811493746 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Genital sores

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2992 28.95%

1 yes 5 0.04%

NA 7337 70.99%

# HE06__17: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00867534200867534 /-] [StDev=0.092752094157233 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Mental disorder

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2971 28.74%

1 yes 26 0.25%

NA 7337 70.99%

# HE06__20: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0937604270937604 /-] [StDev=0.29154377090932 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Abdominal pain

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2716 26.28%

1 yes 281 2.71%

NA 7337 70.99%

# HE06__21: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0116783450116783 /-] [StDev=0.107451448228952 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Sore throat

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2962 28.66%

1 yes 35 0.33%

NA 7337 70.99%

# HE06__22: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0163496830163497 /-] [StDev=0.126837450420496 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Difficulty breathing

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2948 28.52%

1 yes 49 0.47%

NA 7337 70.99%

# HE06__23: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.003003003003003 /-] [StDev=0.0547264497605638 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Burn

Interviewer Instructions - Record up to 2 symptom codes- See code below

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Value Label Cases Percentage

no 2988 28.91%

1 yes 9 0.08%

NA 7337 70.99%

# HE06__24: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00800800800800801 /-] [StDev=0.0891433189365153 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Fracture

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2973 28.76%

1 yes 24 0.23%

NA 7337 70.99%

# HE06__25: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0196863530196864 /-] [StDev=0.138943305152408 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Wound

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2938 28.43%

1 yes 59 0.57%

NA 7337 70.99%

# HE06__26: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.00934267600934268 /-] [StDev=0.0962209938810865 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Child birth related

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2969 28.73%

1 yes 28 0.27%

NA 7337 70.99%

# HE06__27: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.0804137470804138 /-] [StDev=0.271978047635713 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- NOTHING ELSE

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2756 26.66%

1 yes 241 2.33%

NA 7337 70.99%

# HE06__96: Can you describe the major symptoms of the illness or injury that [NAME] primari

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=0.160827494160828 /-] [StDev=0.367433066942908 /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Other (specify)

Interviewer Instructions - Record up to 2 symptom codes- See code below

Value Label Cases Percentage

no 2515 24.33%

1 yes 482 4.66%

NA 7337 70.99%

# HE06b: OTHER-Can you describe the major symptoms of the illness or injury that %rostert

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Can you describe the major symptoms of the illness or injury that [NAME] primarily suffered from during the last 30 days?- Other (specify)

# HE07: Was anyone consulted for the major illness or injury [NAME] suffered during the

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=2997 /-] [Invalid=7337 /-] [Mean=1.23757090423757 /-] [StDev=3.08311920043101 /-]

Literal Question Was anyone consulted (e.g. a doctor, nurse, pharmacist or traditional healer) for the major illness or injury [NAME] suffered during the last 30 days?

Post-Question Text Yes (>> HE09_1)

Value Label Cases Percentage

1 Yes 2573 24.89%

2 No 421 4.07%

98 DK 3 0.02%

NA 7337 70.99%

# HE08: Why was no one consulted for [NAME’S] major illness?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=421 /-] [Invalid=9913 /-] [Mean=15.4275534441805 /-] [StDev=31.7518293578739 /-]

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Literal Question Why was no one consulted for [NAME’S] major illness?

Post-Question Text [>>next Person]

Interviewer Instructions See codes below

Value Label Cases Percentage

1 Illness mild 209 2.02%

2 Facility too far 46 0.44%

3 Hard to get to facility 6 0.05%

4 Too dangerous to go 2 0.01%

5 Available facilities are costly 46 0.44%

6 No qualified staff present 3 0.02%

7 Staff attitude not good 4 0.03%

8 Too busy / long waiting time 17 0.16%

10 Facility is closed 2 0.01%

12 Drugs not available 30 0.29%

96 Other 56 0.54%

NA 9913 95.92%

# HE08b: OTHER-Why was no one consulted for Name major illness?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Why was no one consulted for [NAME’S] major illness?- Other (Specify)

Post-Question Text [>>next Person]

Interviewer Instructions See codes below

# HE09_1: HE09_1. Where did %rostertitle% go for the first consultation during the last 30

Information [Type= discrete] [Format= numeric] [Range= 1-97] [Missing=*]

Statistics [NW/ W] [Valid=2573 /-] [Invalid=7761 /-] [Mean=26.1263116984065 /-] [StDev=25.4222195943821 /-]

Literal Question Where did [NAME] go for the first consultation during the last 30 days?

Value Label Cases Percentage

1 Gov’t Health Facility 1271 12.29%

49 Private Health Facility 805 7.78%

50 NGO 461 4.46%

96 Other (specify) 35 0.33%

97 N/A 1 0%

NA 7761 75.1%

# HE09_2: HE09_2. Did %rostertitle% pay for the consultation?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=2573 /-] [Invalid=7761 /-] [Mean=2.19471434123591 /-] [StDev=5.68131942443183 /-]

Literal Question Did you pay for the consultation?

Post-Question Text - No (>>HE11)- DK>>HE11

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Value Label Cases Percentage

1 Yes 362 3.5%

2 No 2202 21.3%

97 N/A 1 0%

98 DK 8 0.07%

NA 7761 75.1%

# HE09_3: HE09_3. How much did %rostertitle% pay for the consultation (not including medic

Information [Type= discrete] [Format= numeric] [Range= 0-300000] [Missing=*]

Statistics [NW/ W] [Valid=362 /-] [Invalid=9972 /-] [Mean=22389.7790055249 /-] [StDev=39538.5324235917 /-]

Literal Question How much did you pay for the consultation (not including medicines)?

Value Label Cases Percentage

7 0.06%

1000 5 0.04%

2000 38 0.36%

2500 1 0%

3000 34 0.32%

4000 4 0.03%

5000 47 0.45%

7000 4 0.03%

7200 1 0%

8000 6 0.05%

9000 4 0.03%

9600 1 0%

10000 57 0.55%

12000 5 0.04%

14000 1 0%

15000 19 0.18%

16000 1 0%

17000 2 0.01%

17800 1 0%

18000 1 0%

20000 47 0.45%

25000 7 0.06%

27000 1 0%

28000 1 0%

30000 10 0.09%

31000 1 0%

35000 2 0.01%

40000 8 0.07%

45000 1 0%

49000 1 0%

50000 16 0.15%

52000 1 0%

60000 5 0.04%

66000 1 0%

80000 1 0%

90000 1 0%

100000 5 0.04%

115000 1 0%

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Value Label Cases Percentage

120000 1 0%

150000 3 0.02%

167000 1 0%

170000 1 0%

180000 1 0%

200000 3 0.02%

250000 1 0%

300000 2 0.01%

NA 9972 96.49%

# HE11: Distance to the place where consultation for [NAME] was first sought from?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=2573 /-] [Invalid=7761 /-] [Mean=1.73571706179557 /-] [StDev=5.08161567670168 /-]

Literal Question Distance to the place where consultation for [NAME] was first sought from?

Value Label Cases Percentage

1 0 to &lt;3kms 1820 17.61%

2 3 to &lt;5kms 458 4.43%

3 5 to &lt;8kms 105 1.01%

4 8 or more Kms 183 1.77%

97 N/A 3 0.02%

98 DK 4 0.03%

NA 7761 75.1%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=106.697503386878 /-] [StDev=64.1304169936459 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=10334 /-] [Invalid=0 /-] [Mean=5.48171085736404 /-] [StDev=2.88446590460494 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 1046 10.12%

2 1006 9.73%

3 1098 10.62%

4 1054 10.19%

5 1061 10.26%

6 983 9.51%

7 968 9.36%

8 1020 9.87%

9 1039 10.05%

10 1059 10.24%

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# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=2.43650793650794 /-] [StDev=2.12772139422902 /-]

Literal Question Person ID

Value Label Cases Percentage

1 1969 41.12%

2 1421 29.67%

3 513 10.71%

4 305 6.37%

5 189 3.94%

6 128 2.67%

7 83 1.73%

8 60 1.25%

9 39 0.81%

10 32 0.66%

11 20 0.41%

12 8 0.16%

13 5 0.1%

14 6 0.12%

15 3 0.06%

16 2 0.04%

17 2 0.04%

18 1 0.02%

24 1 0.02%

33 1 0.02%

# E01: ID/NAME OF PERSON RESPONDING

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Value Label Cases Percentage

-999999999 22 0.45%

1 2925 61.09%

10 8 0.16%

11 9 0.18%

12 1 0.02%

18 6 0.12%

2 1393 29.09%

3 205 4.28%

4 88 1.83%

5 53 1.1%

6 37 0.77%

7 20 0.41%

8 14 0.29%

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Value Label Cases Percentage

9 7 0.14%

# CB12: Has [NAME] borrowed or got money in the last 12 months to be paid back later?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=4765 /-] [Invalid=23 /-] [Mean=1.87618048268625 /-] [StDev=0.329410104516188 /-]

Literal Question Has [NAME] borrowed or got money in the last 12 months to be paid back later?

Value Label Cases Percentage

1 Yes 590 12.32%

2 No 4175 87.19%

NA 23 0.48%

# CB13: Has [NAME] borrowed or got goods on credit in the last 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=4765 /-] [Invalid=23 /-] [Mean=1.93452256033578 /-] [StDev=0.247392378294303 /-]

Literal Question Has [NAME] borrowed or got goods on credit in the last 12 months?

Value Label Cases Percentage

1 Yes 312 6.51%

2 No 4453 93%

NA 23 0.48%

# CB14a: Has [name] been paying back money during the last 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=4765 /-] [Invalid=23 /-] [Mean=1.86484784889822 /-] [StDev=0.341921895216914 /-]

Literal Question Has [NAME] been paying back money or goods during the last 12 months?- Money

Value Label Cases Percentage

1 Yes 644 13.45%

2 No 4121 86.06%

NA 23 0.48%

# CB14b: Has been paying back goods during the last 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=4765 /-] [Invalid=23 /-] [Mean=1.91710388247639 /-] [StDev=0.275754073977734 /-]

Literal Question Has [NAME] been paying back money or goods during the last 12 months?- Goods

Value Label Cases Percentage

1 Yes 395 8.24%

2 No 4370 91.26%

NA 23 0.48%

# CB15__1: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=822 /-] [Invalid=3966 /-] [Mean=0.236009732360097 /-] [StDev=0.424886761330459 /-]

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Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Personal loan

Value Label Cases Percentage

no 628 13.11%

1 yes 194 4.05%

NA 3966 82.83%

# CB15__2: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=816 /-] [Invalid=3972 /-] [Mean=0.0110294117647059 /-] [StDev=0.104504294649284 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Credit card

Value Label Cases Percentage

no 807 16.85%

1 yes 9 0.18%

NA 3972 82.95%

# CB15__3: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=816 /-] [Invalid=3972 /-] [Mean=0.00122549019607843 /-] [StDev=0.0350070021007002 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Overdraft

Value Label Cases Percentage

no 815 17.02%

1 yes 1 0.02%

NA 3972 82.95%

# CB15__4: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=816 /-] [Invalid=3972 /-] [Mean=0.00245098039215686 /-] [StDev=0.04947699520234 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- A mortgage or Lease

Value Label Cases Percentage

no 814 17%

1 yes 2 0.04%

NA 3972 82.95%

# CB15__5: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=813 /-] [Invalid=3975 /-] [Mean=0.001230012300123 /-] [StDev=0.0350715311915947 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?

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- Hire purchase

Value Label Cases Percentage

no 812 16.95%

1 yes 1 0.02%

NA 3975 83.02%

# CB15__6: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=817 /-] [Invalid=3971 /-] [Mean=0.02937576499388 /-] [StDev=0.168960858241863 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Services obtained on credit for e.g. school, hospital

Value Label Cases Percentage

no 793 16.56%

1 yes 24 0.5%

NA 3971 82.93%

# CB15__7: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=816 /-] [Invalid=3972 /-] [Mean=0.174019607843137 /-] [StDev=0.379358864508684 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Goods obtained on credit e.g. from shop, agro vet, wholesale.

Value Label Cases Percentage

no 674 14.07%

1 yes 142 2.96%

NA 3972 82.95%

# CB15__8: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=812 /-] [Invalid=3976 /-] [Mean=0.0972906403940887 /-] [StDev=0.296535772090495 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Money owed to Money lenders

Value Label Cases Percentage

no 733 15.3%

1 yes 79 1.64%

NA 3976 83.04%

# CB15__9: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=814 /-] [Invalid=3974 /-] [Mean=0.0540540540540541 /-] [StDev=0.226263356612731 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Money owed Family members

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Value Label Cases Percentage

no 770 16.08%

1 yes 44 0.91%

NA 3974 82.99%

# CB15__10: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=817 /-] [Invalid=3971 /-] [Mean=0.192166462668299 /-] [StDev=0.394244539048986 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Money owed to friends who are not members of the family.

Value Label Cases Percentage

no 660 13.78%

1 yes 157 3.27%

NA 3971 82.93%

# CB15__11: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=810 /-] [Invalid=3978 /-] [Mean=0.00864197530864197 /-] [StDev=0.0926168534804942 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Money from Employer

Value Label Cases Percentage

no 803 16.77%

1 yes 7 0.14%

NA 3978 83.08%

# CB15__96: Which of the following does [NAME] currently have from any financial institution

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=812 /-] [Invalid=3976 /-] [Mean=0.0160098522167488 /-] [StDev=0.125590452178499 /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Others (specify)

Value Label Cases Percentage

no 799 16.68%

1 yes 13 0.27%

NA 3976 83.04%

# CB15b: Other-Which of the following does [NAME] currently have from any financial insti

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which of the following does [NAME] currently have from any financial institution, group or organization?- Others (specify)

Value Label Cases Percentage

4766 99.54%

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Value Label Cases Percentage

##N/A## 9 0.18%

Friends 3 0.06%

Money owed to private health facility

1 0.02%

N/A 1 0.02%

not sure 1 0.02%

Salary loan 1 0.02%

vgsa 1 0.02%

village groups

1 0.02%

Village SACCO

1 0.02%

Village savings group

1 0.02%

VLSA 1 0.02%

vslas 1 0.02%

# CB16__1: What is the source of the current loan /credit:Commercial bank

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.115384615384615 /-] [StDev=0.319793174601976 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Commercial bank

Value Label Cases Percentage

no 460 9.6%

1 yes 60 1.25%

NA 4268 89.13%

# CB16__2: What is the source of the current loan /credit:Savings club

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.0192307692307692 /-] [StDev=0.137467405894688 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Savings club

Value Label Cases Percentage

no 510 10.65%

1 yes 10 0.2%

NA 4268 89.13%

# CB16__3: What is the source of the current loan /credit:Credit Institutions

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.0269230769230769 /-] [StDev=0.16201451517477 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?

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- Credit Institutions

Value Label Cases Percentage

no 506 10.56%

1 yes 14 0.29%

NA 4268 89.13%

# CB16__4: What is the source of the current loan /credit:ROSCAs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00384615384615385 /-] [StDev=0.0619575915050087 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- ROSCAs

Value Label Cases Percentage

no 518 10.81%

1 yes 2 0.04%

NA 4268 89.13%

# CB16__5: What is the source of the current loan /credit:MDI

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00769230769230769 /-] [StDev=0.0874519495837215 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- MDI

Value Label Cases Percentage

no 516 10.77%

1 yes 4 0.08%

NA 4268 89.13%

# CB16__6: What is the source of the current loan /credit:Welfare fund

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00576923076923077 /-] [StDev=0.0758089616475111 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Welfare fund

Value Label Cases Percentage

no 517 10.79%

1 yes 3 0.06%

NA 4268 89.13%

# CB16__7: What is the source of the current loan /credit:SACCOs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.136538461538462 /-] [StDev=0.34369007757491 /-]

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Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- SACCOs

Value Label Cases Percentage

no 449 9.37%

1 yes 71 1.48%

NA 4268 89.13%

# CB16__8: What is the source of the current loan /credit:Investment club

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00769230769230769 /-] [StDev=0.0874519495837215 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Investment club

Value Label Cases Percentage

no 516 10.77%

1 yes 4 0.08%

NA 4268 89.13%

# CB16__9: What is the source of the current loan /credit:NGOs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00576923076923077 /-] [StDev=0.0758089616475111 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- NGOs

Value Label Cases Percentage

no 517 10.79%

1 yes 3 0.06%

NA 4268 89.13%

# CB16__10: What is the source of the current loan /credit:Burial societies

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00384615384615385 /-] [StDev=0.0619575915050087 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Burial societies

Value Label Cases Percentage

no 518 10.81%

1 yes 2 0.04%

NA 4268 89.13%

# CB16__11: What is the source of the current loan /credit:ASCAs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.00576923076923077 /-] [StDev=0.0758089616475111 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- ASCAs

Value Label Cases Percentage

no 517 10.79%

1 yes 3 0.06%

NA 4268 89.13%

# CB16__12: What is the source of the current loan /credit:MFIs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.0115384615384615 /-] [StDev=0.106898554820338 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- MFIs

Value Label Cases Percentage

no 514 10.73%

1 yes 6 0.12%

NA 4268 89.13%

# CB16__13: What is the source of the current loan /credit:VSLAs

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.301923076923077 /-] [StDev=0.459534146540137 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- VSLAs

Value Label Cases Percentage

no 363 7.58%

1 yes 157 3.27%

NA 4268 89.13%

# CB16__97: What is the source of the current loan /credit:None

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.132692307692308 /-] [StDev=0.339568554232523 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- None

Value Label Cases Percentage

no 451 9.41%

1 yes 69 1.44%

NA 4268 89.13%

# CB16__96: What is the source of the current loan /credit:Other

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Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=0.355769230769231 /-] [StDev=0.479206739162496 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Others (specify)

Value Label Cases Percentage

no 335 6.99%

1 yes 185 3.86%

NA 4268 89.13%

# CB16b: Other-What is the source of the current loan /credit

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What is the source of the current loan /credit for [NAME]?- Others (specify)

# CB17: What was the main reason for seeking the loan/credit?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=520 /-] [Invalid=4268 /-] [Mean=14.0307692307692 /-] [StDev=24.6990950078101 /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What was the main reason for [NAME] seeking the loan/credit?

Value Label Cases Percentage

1 Buy land 16 0.33%

2 Buy livestock 5 0.1%

3 Buy farm tools and implements 10 0.2%

4 Buy farm inputs 31 0.64%

5 Purchase inputs/ working capital for non-farm enterprises

58 1.21%

6 Pay for building materials (To buy house) 13 0.27%

7 Buy consumption goods and services 185 3.86%

8 To pay educ. Expenses 112 2.33%

9 Pay for health expenses 41 0.85%

10 Pay for ceremonial expenses 6 0.12%

96 Other (specify) 43 0.89%

NA 4268 89.13%

# CB17b: Other-What was the main reason for seeking the loan/credit?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text IF ANY YES IN CB015

Literal Question What was the main reason for [NAME] seeking the loan/credit?- Other (specify)

Value Label Cases Percentage

4736 98.91%

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Value Label Cases Percentage

##N/A## 9 0.18%

business 2 0.04%

Business 1 0.02%

buy solar panel

1 0.02%

electricity pole

1 0.02%

for consumption

1 0.02%

for paying farm laborers

1 0.02%

for travelling to kampala

1 0.02%

for weeding 1 0.02%

home consumption

3 0.06%

house expenses

1 0.02%

Household expenses

1 0.02%

investing in business

1 0.02%

no loan obtained

1 0.02%

none 4 0.08%

NOT APPLICABLE

1 0.02%

Not applicable as she only got goods on credit from a shop

1 0.02%

not loan 1 0.02%

pay for rent 1 0.02%

paying farm laborers

1 0.02%

personal use 1 0.02%

shortage of food items

1 0.02%

start business

1 0.02%

To buy charcoal

1 0.02%

To buy fishing nets

1 0.02%

to buy iron sheets

1 0.02%

To hire workers in the farm

1 0.02%

to pay debtors

1 0.02%

To pay for another loan in the bank

1 0.02%

to pay for house rent

1 0.02%

To pay the debts

1 0.02%

To rent and furnish a house

1 0.02%

TO START A BUSINESS

1 0.02%

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Value Label Cases Percentage

to start up a bussiness

1 0.02%

to start up the retail shop i have right now

1 0.02%

upkeep 1 0.02%

upkeep and survival

1 0.02%

weeding crops

1 0.02%

# CB18__1: Do you currently use this or have such an account:Savings account

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4755 /-] [Invalid=33 /-] [Mean=0.0984227129337539 /-] [StDev=0.297916679611154 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Savings account

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4287 89.53%

1 yes 468 9.77%

NA 33 0.68%

# CB18__2: Do you currently use this or have such an account:A fixed deposit account

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4752 /-] [Invalid=36 /-] [Mean=0.00231481481481481 /-] [StDev=0.0480618616598296 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- A fixed deposit account

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4741 99.01%

1 yes 11 0.22%

NA 36 0.75%

# CB18__3: Do you currently use this or have such an account:A joint account

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4748 /-] [Invalid=40 /-] [Mean=0.0031592249368155 /-] [StDev=0.0561240380977799 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- A joint account

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4733 98.85%

1 yes 15 0.31%

NA 40 0.83%

# CB18__4: Do you currently use this or have such an account:Current or cheque account

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

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Statistics [NW/ W] [Valid=4744 /-] [Invalid=44 /-] [Mean=0.0187605396290051 /-] [StDev=0.13569253108559 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Current or cheque account

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4655 97.22%

1 yes 89 1.85%

NA 44 0.91%

# CB18__5: Do you currently use this or have such an account:ATM card/Debit card

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4744 /-] [Invalid=44 /-] [Mean=0.0564924114671164 /-] [StDev=0.230894471007636 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- ATM card/Debit card

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4476 93.48%

1 yes 268 5.59%

NA 44 0.91%

# CB18__6: Do you currently use this or have such an account:Credit card

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4742 /-] [Invalid=46 /-] [Mean=0.00948966680725432 /-] [StDev=0.0969618257542148 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Credit card

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4697 98.09%

1 yes 45 0.93%

NA 46 0.96%

# CB18__7: Do you currently use this or have such an account:An investment Account e.g. Sha

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4744 /-] [Invalid=44 /-] [Mean=0.000632377740303541 /-] [StDev=0.0251418194055882 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- An investment Account e.g. Shares Account

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4741 99.01%

1 yes 3 0.06%

NA 44 0.91%

# CB18__8: Do you currently use this or have such an account:Personal loan

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Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4744 /-] [Invalid=44 /-] [Mean=0.0109612141652614 /-] [StDev=0.104131415275868 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Personal loan

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4692 97.99%

1 yes 52 1.08%

NA 44 0.91%

# CB18__9: Do you currently use this or have such an account:Overdraft

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4742 /-] [Invalid=46 /-] [Mean=0.000210881484605652 /-] [StDev=0.0145217590052187 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Overdraft

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4741 99.01%

1 yes 1 0.02%

NA 46 0.96%

# CB18__10: Do you currently use this or have such an account:A mortgage or Lease

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4740 /-] [Invalid=48 /-] [Mean=0.000843881856540084 /-] [StDev=0.0290404483676754 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- A mortgage or Lease

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4736 98.91%

1 yes 4 0.08%

NA 48 1%

# CB18__11: Do you currently use this or have such an account:Home improvement Loan

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4741 /-] [Invalid=47 /-] [Mean=0.00021092596498629 /-] [StDev=0.0145232904324843 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Home improvement Loan

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4740 98.99%

1 yes 1 0.02%

NA 47 0.98%

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# CB18__12: Do you currently use this or have such an account:Commercial Loan

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4737 /-] [Invalid=51 /-] [Mean=0.000844416297234537 /-] [StDev=0.0290496369194929 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Commercial Loan

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4733 98.85%

1 yes 4 0.08%

NA 51 1.06%

# CB18__13: Do you currently use this or have such an account:Money transfer services (Weste

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4741 /-] [Invalid=47 /-] [Mean=0.00358574140476693 /-] [StDev=0.0597799099724315 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Money transfer services (Western union, money gram)

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4724 98.66%

1 yes 17 0.35%

NA 47 0.98%

# CB18__14: Do you currently use this or have such an account:Mobile banking (Day to day ban

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4741 /-] [Invalid=47 /-] [Mean=0.00126555578991774 /-] [StDev=0.0355558829936172 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Mobile banking (Day to day banking transactions NOT just mere account opening e.g mobile van)

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4735 98.89%

1 yes 6 0.12%

NA 47 0.98%

# CB18__15: Do you currently use this or have such an account:Cell phone banking (with a ban

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4742 /-] [Invalid=46 /-] [Mean=0.00189793336145086 /-] [StDev=0.0435285053045118 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Cell phone banking (with a bank account)

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4733 98.85%

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Value Label Cases Percentage

1 yes 9 0.18%

NA 46 0.96%

# CB18__16: Do you currently use this or have such an account:Internet banking

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4738 /-] [Invalid=50 /-] [Mean=0.00105529759392149 /-] [StDev=0.032471625820626 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Internet banking

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4733 98.85%

1 yes 5 0.1%

NA 50 1.04%

# CB18__96: Do you currently use this or have such an account:Other (Specify)

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=4700 /-] [Invalid=88 /-] [Mean=0.00212765957446809 /-] [StDev=0.0460823661033732 /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Other (Specify)

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

no 4690 97.95%

1 yes 10 0.2%

NA 88 1.83%

# CB18b: Other-Do you currently use this or have such an account

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Concerning [product], does [NAME] currently use it or have such an account?- Other (Specify)

Interviewer Instructions PRODUCT OPTIONS (READ OUT)

Value Label Cases Percentage

4769 99.6%

##N/A## 9 0.18%

Business account

1 0.02%

bussiness account and personal accounts

1 0.02%

call Account

1 0.02%

dahabshiil money transfer services

1 0.02%

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Value Label Cases Percentage

dahbshil somali money transfer services

2 0.04%

Friends and relatives

2 0.04%

INSIDE THE HOUSE

1 0.02%

VSLA 1 0.02%

# CB19__1: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=623 /-] [Invalid=4165 /-] [Mean=0.630818619582664 /-] [StDev=0.482970914597647 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- Commercial Bank

Interviewer Instructions Read out

Value Label Cases Percentage

no 230 4.8%

1 yes 393 8.2%

NA 4165 86.98%

# CB19__2: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=606 /-] [Invalid=4182 /-] [Mean=0.0214521452145215 /-] [StDev=0.145005683058828 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- MDIs

Interviewer Instructions Read out

Value Label Cases Percentage

no 593 12.38%

1 yes 13 0.27%

NA 4182 87.34%

# CB19__3: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=607 /-] [Invalid=4181 /-] [Mean=0.0214168039538715 /-] [StDev=0.144888608337826 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- MFIS

Interviewer Instructions Read out

Value Label Cases Percentage

no 594 12.4%

1 yes 13 0.27%

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Value Label Cases Percentage

NA 4181 87.32%

# CB19__4: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=606 /-] [Invalid=4182 /-] [Mean=0.0594059405940594 /-] [StDev=0.236578175846727 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- Credit institutions

Interviewer Instructions Read out

Value Label Cases Percentage

no 570 11.9%

1 yes 36 0.75%

NA 4182 87.34%

# CB19__5: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=611 /-] [Invalid=4177 /-] [Mean=0.0785597381342062 /-] [StDev=0.269270820372712 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- SACCOS

Interviewer Instructions Read out

Value Label Cases Percentage

no 563 11.75%

1 yes 48 1%

NA 4177 87.23%

# CB19__6: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=611 /-] [Invalid=4177 /-] [Mean=0.196399345335516 /-] [StDev=0.397599515452541 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- VSLAs

Interviewer Instructions Read out

Value Label Cases Percentage

no 491 10.25%

1 yes 120 2.5%

NA 4177 87.23%

# CB19__7: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=605 /-] [Invalid=4183 /-] [Mean=0 /-] [StDev=0 /-]

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Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- ROSCAs

Interviewer Instructions Read out

Value Label Cases Percentage

no 605 12.63%

NA 4183 87.36%

# CB19__96: Which financial Institutions are you currently using for the products that you a

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=601 /-] [Invalid=4187 /-] [Mean=0.00499168053244592 /-] [StDev=0.0705339747734223 /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- Others

Interviewer Instructions Read out

Value Label Cases Percentage

no 598 12.48%

1 yes 3 0.06%

NA 4187 87.44%

# CB19b: Other-Which financial Institutions are you currently using for the products that

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text IF ANY YES IN CB18:

Literal Question Which financial Institutions is [NAME] currently using for the products that you are using?- Others

Interviewer Instructions Read out

Value Label Cases Percentage

4774 99.7%

##N/A## 9 0.18%

getting money for the elderly citizens

1 0.02%

Home 1 0.02%

Mobile Money

1 0.02%

None 2 0.04%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=113.49895572264 /-] [StDev=64.7581397899722 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=4788 /-] [Invalid=0 /-] [Mean=5.48642439431913 /-] [StDev=2.8804650815794 /-]

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Literal Question SAMPLE NO.

Value Label Cases Percentage

1 486 10.15%

2 458 9.56%

3 503 10.5%

4 502 10.48%

5 478 9.98%

6 462 9.64%

7 467 9.75%

8 459 9.58%

9 483 10.08%

10 490 10.23%

File hsec7b

# hh: Unique 32-character long identifier of the interview

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# CB01_1__1: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.457238680827278 /-] [StDev=0.660476896667038 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1121 50.74%

1 yes 536 24.26%

2 114 5.16%

3 18 0.81%

NA 420 19.01%

# CB01_1__2: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.197316936836221 /-] [StDev=0.631635745008007 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1616 73.15%

1 yes 28 1.26%

2 110 4.97%

3 35 1.58%

NA 420 19.01%

# CB01_1__3: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-2] [Missing=*]

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Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.00670765790944662 /-] [StDev=0.105549346223951 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1781 80.62%

1 yes 4 0.18%

2 4 0.18%

NA 420 19.01%

# CB01_1__4: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.25321408608161 /-] [StDev=0.586144084322879 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1446 65.45%

1 yes 261 11.81%

2 54 2.44%

3 28 1.26%

NA 420 19.01%

# CB01_1__5: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.267747344885411 /-] [StDev=0.634904307556542 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1463 66.22%

1 yes 205 9.28%

2 89 4.02%

3 32 1.44%

NA 420 19.01%

# CB01_1__6: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.0128563443264394 /-] [StDev=0.147128183927716 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1772 80.21%

1 yes 13 0.58%

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Value Label Cases Percentage

2 2 0.09%

3 2 0.09%

NA 420 19.01%

# CB01_1__7: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-2] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.00391280044717719 /-] [StDev=0.0783377731982388 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1784 80.76%

1 yes 3 0.13%

2 2 0.09%

NA 420 19.01%

# CB01_1__8: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.103968697596423 /-] [StDev=0.439048838614243 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1671 75.64%

1 yes 71 3.21%

2 26 1.17%

3 21 0.95%

NA 420 19.01%

# CB01_1__9: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.0268306316377865 /-] [StDev=0.187280265997502 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1748 79.13%

1 yes 35 1.58%

2 5 0.22%

3 1 0.04%

NA 420 19.01%

# CB01_1__96: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1789 /-] [Invalid=420 /-] [Mean=0.372833985466741 /-]

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[StDev=0.509594594590046 /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

Value Label Cases Percentage

no 1141 51.65%

1 yes 633 28.65%

2 11 0.49%

3 4 0.18%

NA 420 19.01%

# CB01_1b: Other-household’s most important source of earnings during the last 12 months?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What was the household’s most important source of earnings before coming to Uganda?

Interviewer Instructions RANK UP TO 3 IN ORDER OF IMPORTANCE)

# CB01__1: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.586583463338534 /-] [StDev=0.756633465091538 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1072 48.52%

1 614 27.79%

2 197 8.91%

3 40 1.81%

NA 286 12.94%

# CB01__2: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.157566302652106 /-] [StDev=0.575812058478355 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1779 80.53%

1 17 0.76%

2 95 4.3%

3 32 1.44%

NA 286 12.94%

# CB01__3: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.0275611024440978 /-] [StDev=0.238730667745904 /-]

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Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1893 85.69%

1 13 0.58%

2 11 0.49%

3 6 0.27%

NA 286 12.94%

# CB01__4: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.411336453458138 /-] [StDev=0.725495584077124 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1363 61.7%

1 371 16.79%

2 147 6.65%

3 42 1.9%

NA 286 12.94%

# CB01__5: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.303692147685907 /-] [StDev=0.680730687850634 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1546 69.98%

1 205 9.28%

2 137 6.2%

3 35 1.58%

NA 286 12.94%

# CB01__6: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.0384815392615705 /-] [StDev=0.289562055926506 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1884 85.28%

1 14 0.63%

2 15 0.67%

3 10 0.45%

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Value Label Cases Percentage

NA 286 12.94%

# CB01__7: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.0124804992199688 /-] [StDev=0.154199736713991 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1909 86.41%

1 5 0.22%

2 8 0.36%

3 1 0.04%

NA 286 12.94%

# CB01__8: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.344773790951638 /-] [StDev=0.78434705328669 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1548 70.07%

1 173 7.83%

2 116 5.25%

3 86 3.89%

NA 286 12.94%

# CB01__9: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.351534061362455 /-] [StDev=0.607943846381611 /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1367 61.88%

1 452 20.46%

2 88 3.98%

3 16 0.72%

NA 286 12.94%

# CB01__96: What was the household’s most important source of earnings during the last 12 mo

Information [Type= discrete] [Format= numeric] [Range= 0-3] [Missing=*]

Statistics [NW/ W] [Valid=1923 /-] [Invalid=286 /-] [Mean=0.0712428497139886 /-] [StDev=0.336196304324123 /-]

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Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

Value Label Cases Percentage

1827 82.7%

1 59 2.67%

2 33 1.49%

3 4 0.18%

NA 286 12.94%

# CB01b: Other-household’s most important source of earnings during the last 12 months?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the household’s most important source of earnings currently?

Interviewer Instructions Rank up to 3 in order of importance

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=112.288365776369 /-] [StDev=64.8035888106185 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=2209 /-] [Invalid=0 /-] [Mean=5.50158442734269 /-] [StDev=2.87261593452616 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 221 10%

2 220 9.95%

3 221 10%

4 221 10%

5 221 10%

6 221 10%

7 221 10%

8 221 10%

9 221 10%

10 221 10%

File hsec8

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=2.66679920477137 /-] [StDev=2.22807496479732 /-]

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Literal Question Person ID

Value Label Cases Percentage

1 1781 35.4%

2 1462 29.06%

3 637 12.66%

4 401 7.97%

5 263 5.22%

6 164 3.26%

7 110 2.18%

8 70 1.39%

9 47 0.93%

10 33 0.65%

11 28 0.55%

12 11 0.21%

13 5 0.09%

14 7 0.13%

15 4 0.07%

16 2 0.03%

17 1 0.01%

18 1 0.01%

24 1 0.01%

25 1 0.01%

33 1 0.01%

# LB1: RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Value Label Cases Percentage

-999999999 10 0.19%

1 3031 60.25%

10 12 0.23%

11 7 0.13%

12 2 0.03%

13 1 0.01%

2 1501 29.84%

3 221 4.39%

4 93 1.84%

5 57 1.13%

6 45 0.89%

7 23 0.45%

8 18 0.35%

9 9 0.17%

# LB13: LB13. Did %rostertitle% do any work for pay or profit, help without pay in house

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=5020 /-] [Invalid=10 /-] [Mean=1.50617529880478 /-] [StDev=0.50001166866979 /-]

Literal Question Did (Name) do any work for pay or profit, help without pay in household business in the last 7 days, or have a job or business they will definitely return to?

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Post-Question Text yes >> LB2

Value Label Cases Percentage

1 Yes 2479 49.28%

2 No 2541 50.51%

NA 10 0.19%

# LB14: LB14. What best describes (Names) situation at this time?

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=2541 /-] [Invalid=2489 /-] [Mean=2.1310507674144 /-] [StDev=1.26013374094159 /-]

Literal Question What best describes (Names) situation at this time?

Post-Question Text Skip to LB9

Value Label Cases Percentage

1 In school 1101 21.88%

2 Taking care of household or family 590 11.72%

3 Without work and Looking for work 453 9%

4 Not working and not looking for work 210 4.17%

5 iIl/sick 187 3.71%

NA 2489 49.48%

# LB2: LB2. What was %rostertitle%’s main employment status during the last 7 days

Information [Type= discrete] [Format= numeric] [Range= 1-6] [Missing=*]

Statistics [NW/ W] [Valid=2479 /-] [Invalid=2551 /-] [Mean=3.23396530859217 /-] [StDev=1.68891129321301 /-]

Literal Question What was [NAME]’s main employment status during the last 7 days

Value Label Cases Percentage

1 employer 13 0.25%

2 Own account worker 1371 27.25%

3 Unpaid family worker 398 7.91%

4 Paid Employee-Government permanent 39 0.77%

5 Paid Employee-Government temporary/Casual 36 0.71%

6 Paid Employee-Private permanent /temporary 622 12.36%

NA 2551 50.71%

# LB3a: What are your main tasks or duties?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What was the nature of your work (for the main employment status) that you did during the last 7 days?

# LB3_oneDigit: Main Category- ISCO code

Information [Type= discrete] [Format= numeric] [Range= 0-9] [Missing=*]

Statistics [NW/ W] [Valid=2478 /-] [Invalid=2552 /-] [Mean=6.12187247780468 /-] [StDev=1.80802438163745 /-]

Value Label Cases Percentage

Armed forces occupations 12 0.23%

1 Managers 24 0.47%

2 Professionals 121 2.4%

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Value Label Cases Percentage

3 Technicians and associate professionals 45 0.89%

4 Clerical support workers 16 0.31%

5 Service and sales workers 420 8.34%

6 Skilled agricultural, forestry and fishery workers 1203 23.91%

7 Craft and related trades workers 137 2.72%

8 Plant and machine operators and assemblers 72 1.43%

9 Elementary occupations 428 8.5%

NA 2552 50.73%

# LB3_twoDigit: SubCategory Level1 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 11-993] [Missing=*]

Statistics [NW/ W] [Valid=2478 /-] [Invalid=2552 /-] [Mean=68.6404358353511 /-] [StDev=66.8129990214746 /-]

Value Label Cases Percentage

11 Chief executives, senior officials and legislators 1 0.01%

12 Administrative and commercial managers 9 0.17%

13 Production and specialized services managers 7 0.13%

14 Hospitality, retail and other services managers 7 0.13%

21 Science and engineering professionals 8 0.15%

22 Health professionals 23 0.45%

23 Teaching professionals 70 1.39%

24 Business and administration professionals 8 0.15%

25 Information and communications technology professionals

2 0.03%

26 Legal, social and cultural professionals 10 0.19%

31 Science and engineering associate professionals 13 0.25%

32 Health associate professionals 5 0.09%

33 Business and administration associate professionals 12 0.23%

34 Legal, social, cultural and related associate professionals

11 0.21%

35 Information and communications technicians 4 0.07%

41 General and keyboard clerks 5 0.09%

42 Customer services clerks 4 0.07%

43 Numerical and material recording clerks 1 0.01%

44 Other clerical support workers 6 0.11%

51 Personal service workers 117 2.32%

52 Sales workers 283 5.62%

53 Personal care workers 6 0.11%

54 Protective services workers 14 0.27%

61 Market-oriented skilled agricultural workers 40 0.79%

62 Market-oriented skilled forestry, fishery and hunting workers

9 0.17%

63 Subsistence farmers, fishers, hunters and gatherers 1154 22.94%

71 Building and related trades workers, excluding electricians

52 1.03%

72 Metal, machinery and related trades workers 14 0.27%

73 Handicraft and printing workers 32 0.63%

74 Electrical and electronic trades workers 4 0.07%

75 Food processing, wood working, garment and other craft and related trades workers

35 0.69%

81 Stationary plant and machine operators 20 0.39%

82 Assemblers 3 0.05%

83 Drivers and mobile plant operators 49 0.97%

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Value Label Cases Percentage

91 Cleaners and helpers 75 1.49%

92 Agricultural, forestry and fishery labourers 234 4.65%

93 Labourers in mining, construction, manufacturing and transport

41 0.81%

94 Food preparation assistants 19 0.37%

95 Street and related sales and service workers 29 0.57%

96 Refuse workers and other elementary workers 30 0.59%

991 Commissioned armed forces officers 2 0.03%

992 Non-commissioned armed forces officers 2 0.03%

993 Armed forces occupations, other ranks 8 0.15%

NA 2552 50.73%

# LB2_threeDigit: SubCategory Level2 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 111-9931] [Missing=*]

Statistics [NW/ W] [Valid=2478 /-] [Invalid=2552 /-] [Mean=688.078692493947 /-] [StDev=667.977874421435 /-]

Value Label Cases Percentage

111 Legislators and senior officials 1 0.01%

112 Managing directors and chief executives 3 0.05%

121 Business services and administration managers 2 0.03%

122 Sales, marketing and development managers 4 0.07%

131 Production managers in agriculture, forestry and fisheries

2 0.03%

132 Manufacturing, mining, construction, and distribution managers

2 0.03%

133 Information and communications technology service managers

1 0.01%

134 Professional services managers 2 0.03%

141 Hotel and restaurant managers 4 0.07%

142 Retail and wholesale trade managers 1 0.01%

143 Other services managers 2 0.03%

211 Physical and earth science professionals 1 0.01%

214 Engineering professionals (excluding electrotechnology)

5 0.09%

216 Architects, planners, surveyors and designers 2 0.03%

221 Medical doctors 6 0.11%

222 Nursing and midwifery professionals 9 0.17%

223 Traditional and complementary medicine professionals 1 0.01%

225 Veterinarians 3 0.05%

226 Other health professionals 4 0.07%

231 University and higher education teachers 2 0.03%

233 Secondary education teachers 8 0.15%

234 Primary school and early childhood teachers 54 1.07%

235 Other teaching professionals 6 0.11%

241 Finance professionals 7 0.13%

242 Administration professionals 1 0.01%

251 Software and applications developers and analysts 2 0.03%

261 Legal professionals 1 0.01%

262 Librarians, archivists and curators 1 0.01%

263 Social and religious professionals 6 0.11%

264 Authors, journalists and linguists 1 0.01%

265 Creative and performing artists 1 0.01%

311 Physical and engineering science technicians 11 0.21%

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Value Label Cases Percentage

312 Mining, manufacturing and construction supervisors 1 0.01%

313 Process control technicians 1 0.01%

321 Medical and pharmaceutical technicians 1 0.01%

324 Veterinary technicians and assistants 1 0.01%

325 Other health associate professionals 3 0.05%

331 Financial and mathematical associate professionals 3 0.05%

332 Sales and purchasing agents and brokers 2 0.03%

333 Business services agents 2 0.03%

334 Administrative and specialized secretaries 3 0.05%

335 Regulatory government associate professionals 2 0.03%

341 Legal, social and religious associate professionals 8 0.15%

342 Sports and fitness workers 1 0.01%

343 Artistic, cultural and culinary associate professionals 2 0.03%

351 Information and communications technology operations and user support technicians

4 0.07%

411 General office clerks 1 0.01%

412 Secretaries (general) 3 0.05%

413 Keyboard operators 1 0.01%

421 Tellers, money collectors and related clerks 1 0.01%

422 Client information workers 3 0.05%

432 Material-recording and transport clerks 1 0.01%

441 Other clerical support workers 6 0.11%

511 Travel attendants, conductors and guides 12 0.23%

512 Cooks 15 0.29%

513 Waiters and bartenders 13 0.25%

514 Hairdressers, beauticians and related workers 20 0.39%

515 Building and housekeeping supervisors 15 0.29%

516 Other personal services workers 42 0.83%

521 Street and market salespersons 95 1.88%

522 Shop salespersons 116 2.3%

523 Cashiers and ticket clerks 5 0.09%

524 Other sales workers 67 1.33%

531 Child care workers and teachers' aides 4 0.07%

532 Personal care workers in health services 2 0.03%

541 Protective services workers 14 0.27%

611 Market gardeners and crop growers 30 0.59%

612 Animal producers 3 0.05%

613 Mixed crop and animal producers 7 0.13%

621 Forestry and related workers 3 0.05%

622 Fishery workers, hunters and trappers 6 0.11%

631 Subsistence crop farmers 982 19.52%

632 Subsistence livestock farmers 17 0.33%

633 Subsistence mixed crop and livestock farmers 135 2.68%

634 Subsistence fishers, hunters, trappers and gatherers 20 0.39%

711 Building frame and related trades workers 42 0.83%

712 Building finishers and related trades workers 5 0.09%

713 Painters, building structure cleaners and related trades workers

5 0.09%

721 Sheet and structural metal workers, moulders and welders, and related workers

1 0.01%

722 Blacksmiths, toolmakers and related trades workers 2 0.03%

723 Machinery mechanics and repairers 11 0.21%

731 Handicraft workers 31 0.61%

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Value Label Cases Percentage

732 Printing trades workers 1 0.01%

741 Electrical equipment installers and repairers 3 0.05%

742 Electronics and telecommunications installers and repairers

1 0.01%

751 Food processing and related trades workers 17 0.33%

752 Wood treaters, cabinet-makers and related trades workers

3 0.05%

753 Garment and related trades workers 9 0.17%

754 Other craft and related workers 6 0.11%

811 Mining and mineral processing plant operators 2 0.03%

812 Metal processing and finishing plant operators 1 0.01%

815 Textile, fur and leather products machine operators 4 0.07%

816 Food and related products machine operators 5 0.09%

818 Other stationary plant and machine operators 9 0.17%

821 Assemblers 2 0.03%

831 Locomotive engine drivers and related workers 36 0.71%

833 Heavy truck and bus drivers 13 0.25%

911 Domestic, hotel and office cleaners and helpers 62 1.23%

912 Vehicle, window, laundry and other hand cleaning workers

13 0.25%

921 Agricultural, forestry and fishery labourers 234 4.65%

931 Mining and construction labourers 30 0.59%

932 Manufacturing labourers 10 0.19%

933 Transport and storage labourers 1 0.01%

941 Food preparation assistants 19 0.37%

951 Street and related service workers 20 0.39%

952 Street vendors (excluding food) 9 0.17%

961 Refuse workers 2 0.03%

962 Other elementary workers 28 0.55%

9911 Commissioned armed forces officers 2 0.03%

9921 Non-commissioned armed forces officers 2 0.03%

9931 Armed forces occupations, other ranks 8 0.15%

NA 2552 50.73%

# LB2_fourDigit: SubCategory Level3 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 832-99310] [Missing=*]

Statistics [NW/ W] [Valid=2478 /-] [Invalid=2552 /-] [Mean=6873.20137207425 /-] [StDev=6682.80368128513 /-]

Value Label Cases Percentage

832 Car, van and motorcycle drivers 3 0.05%

1112 Senior government officials 1 0.01%

1120 Managing directors and chief executives 3 0.05%

1211 Finance managers 1 0.01%

1213 Policy and planning managers 1 0.01%

1221 Sales and marketing managers 4 0.07%

1311 Agricultural and forestry production managers 2 0.03%

1324 Supply, distribution and related managers 2 0.03%

1330 Information and communications technology service managers

1 0.01%

1349 Professional services managers not elsewhere classified 2 0.03%

1411 Hotel managers 1 0.01%

1412 Restaurant managers 3 0.05%

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Value Label Cases Percentage

1420 Retail and wholesale trade managers 1 0.01%

1439 Services managers not elsewhere classified 2 0.03%

2113 Chemists 1 0.01%

2141 Industrial and production engineers 1 0.01%

2142 Civil engineers 2 0.03%

2144 Mechanical engineers 1 0.01%

2149 Engineering professionals not elsewhere classified 1 0.01%

2162 Landscape architects 1 0.01%

2165 Cartographers and surveyors 1 0.01%

2211 Generalist medical practitioners 3 0.05%

2212 Specialist medical practitioners 3 0.05%

2221 Nursing professionals 6 0.11%

2222 Midwifery professionals 3 0.05%

2230 Traditional and complementary medicine professionals 1 0.01%

2250 Veterinarians 3 0.05%

2262 Pharmacists 1 0.01%

2269 Health professionals not elsewhere classified 3 0.05%

2310 University and higher education teachers 2 0.03%

2330 Secondary education teachers 8 0.15%

2341 Primary school teachers 44 0.87%

2342 Early childhood educators 10 0.19%

2352 Special needs teachers 1 0.01%

2353 Other language teachers 1 0.01%

2355 Other arts teachers 1 0.01%

2359 Teaching professionals not elsewhere classified 3 0.05%

2411 Accountants 6 0.11%

2413 Financial analysts 1 0.01%

2421 Management and organization analysts 1 0.01%

2514 Applications programmers 1 0.01%

2519 Software and applications developers and analysts not elsewhere classified

1 0.01%

2611 Lawyers 1 0.01%

2621 Archivists and curators 1 0.01%

2635 Social work and counselling professionals 5 0.09%

2636 Religious professionals 1 0.01%

2643 Translators, interpreters and other linguists 1 0.01%

2652 Musicians, singers and composers 1 0.01%

3113 Electrical engineering technicians 3 0.05%

3115 Mechanical engineering technicians 6 0.11%

3116 Chemical engineering technicians 1 0.01%

3119 Physical and engineering science technicians not elsewhere classified

1 0.01%

3123 Construction supervisors 1 0.01%

3131 Power production plant operators 1 0.01%

3212 Medical and pathology laboratory technicians 1 0.01%

3240 Veterinary technicians and assistants 1 0.01%

3253 Community health workers 2 0.03%

3257 Environmental and occupational health inspectors and associates

1 0.01%

3312 Credit and loans officers 1 0.01%

3313 Accounting associate professionals 2 0.03%

3323 Buyers 1 0.01%

3324 Trade brokers 1 0.01%

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Value Label Cases Percentage

3334 Real estate agents and property managers 2 0.03%

3343 Administrative and executive secretaries 3 0.05%

3352 Government tax and excise officials 1 0.01%

3355 Police inspectors and detectives 1 0.01%

3411 Legal and related associate professionals 1 0.01%

3412 Social work associate professionals 6 0.11%

3413 Religious associate professionals 1 0.01%

3421 Athletes and sports players 1 0.01%

3432 Interior designers and decorators 2 0.03%

3511 Information and communications technology operations technicians

2 0.03%

3513 Computer network and systems technicians 2 0.03%

4110 General office clerks 1 0.01%

4120 Secretaries (general) 3 0.05%

4132 Data entry clerks 1 0.01%

4211 Bank tellers and related clerks 1 0.01%

4222 Contact centre information clerks 1 0.01%

4224 Hotel receptionists 1 0.01%

4226 Receptionists (general) 1 0.01%

4321 Stock clerks 1 0.01%

4413 Coding, proof-reading and related clerks 1 0.01%

4419 Clerical support workers not elsewhere classified 5 0.09%

5111 Travel attendants and travel stewards 8 0.15%

5112 Transport conductors 3 0.05%

5113 Travel guides 1 0.01%

5120 Cooks 15 0.29%

5131 Waiters 5 0.09%

5132 Bartenders 8 0.15%

5141 Hairdressers 19 0.37%

5142 Beauticians and related workers 1 0.01%

5151 Cleaning and housekeeping supervisors in offices, hotels and other establishments

1 0.01%

5152 Domestic housekeepers 11 0.21%

5153 Building caretakers 3 0.05%

5169 Personal services workers not elsewhere classified 42 0.83%

5211 Stall and market salespersons 83 1.65%

5212 Street food salespersons 12 0.23%

5221 Shop keepers 109 2.16%

5222 Shop supervisors 3 0.05%

5223 Shop sales assistants 4 0.07%

5230 Cashiers and ticket clerks 5 0.09%

5241 Fashion and other models 1 0.01%

5243 Door to door salespersons 8 0.15%

5245 Service station attendants 1 0.01%

5246 Food service counter attendants 4 0.07%

5249 Sales workers not elsewhere classified 53 1.05%

5311 Child care workers 4 0.07%

5321 Health care assistants 1 0.01%

5329 Personal care workers in health services not elsewhere classified

1 0.01%

5412 Police officers 2 0.03%

5414 Security guards 10 0.19%

5419 Protective services workers not elsewhere classified 2 0.03%

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Value Label Cases Percentage

6111 Field crop and vegetable growers 14 0.27%

6112 Tree and shrub crop growers 4 0.07%

6113 Gardeners, horticultural and nursery growers 3 0.05%

6114 Mixed crop growers 9 0.17%

6122 Poultry producers 2 0.03%

6129 Animal producers not elsewhere classified 1 0.01%

6130 Mixed crop and animal producers 7 0.13%

6210 Forestry and related workers 3 0.05%

6222 Inland and coastal waters fishery workers 5 0.09%

6223 Deep-sea fishery workers 1 0.01%

6310 Subsistence crop farmers 982 19.52%

6320 Subsistence livestock farmers 17 0.33%

6330 Subsistence mixed crop and livestock farmers 135 2.68%

6340 Subsistence fishers, hunters, trappers and gatherers 20 0.39%

7111 House builders 14 0.27%

7112 Bricklayers and related workers 18 0.35%

7115 Carpenters and joiners 8 0.15%

7119 Building frame and related trades workers not elsewhere classified

2 0.03%

7122 Floor layers and tile setters 2 0.03%

7123 Plasterers 2 0.03%

7126 Plumbers and pipe fitters 1 0.01%

7131 Painters and related workers 4 0.07%

7133 Building structure cleaners 1 0.01%

7212 Welders and flamecutters 1 0.01%

7221 Blacksmiths, hammersmiths and forging press workers 2 0.03%

7231 Motor vehicle mechanics and repairers 9 0.17%

7234 Bicycle and related repairers 2 0.03%

7313 Jewellery and precious-metal workers 1 0.01%

7314 Potters and related workers 2 0.03%

7316 Sign writers, decorative painters, engravers and etchers 3 0.05%

7317 Handicraft workers in wood, basketry and related materials

12 0.23%

7318 Handicraft workers in textile, leather and related materials

6 0.11%

7319 Handicraft workers not elsewhere classified 7 0.13%

7322 Printers 1 0.01%

7411 Building and related electricians 1 0.01%

7413 Electrical line installers and repairers 2 0.03%

7422 Information and communications technology installers and servicers

1 0.01%

7511 Butchers, fishmongers and related food preparers 3 0.05%

7512 Bakers, pastry-cooks and confectionery makers 8 0.15%

7515 Food and beverage tasters and graders 6 0.11%

7522 Cabinet-makers and related workers 2 0.03%

7523 Woodworking-machine tool setters and operators 1 0.01%

7531 Tailors, dressmakers, furriers and hatters 8 0.15%

7533 Sewing, embroidery and related workers 1 0.01%

7549 Craft and related workers not elsewhere classified 6 0.11%

8111 Miners and quarriers 2 0.03%

8121 Metal processing plant operators 1 0.01%

8153 Sewing machine operators 4 0.07%

8160 Food and related products machine operators 5 0.09%

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Value Label Cases Percentage

8189 Stationary plant and machine operators not elsewhere classified

9 0.17%

8211 Mechanical machinery assemblers 1 0.01%

8219 Assemblers not elsewhere classified 1 0.01%

8321 Motorcycle drivers 27 0.53%

8322 Car, taxi and van drivers 6 0.11%

8331 Bus and tram drivers 1 0.01%

8332 Heavy truck and lorry drivers 12 0.23%

9111 Domestic cleaners and helpers 56 1.11%

9112 Cleaners and helpers in offices, hotels and other establishments

6 0.11%

9121 Hand launderers and pressers 11 0.21%

9122 Vehicle cleaners 1 0.01%

9129 Other cleaning workers 1 0.01%

9211 Crop farm labourers 209 4.15%

9212 Livestock farm labourers 11 0.21%

9213 Mixed crop and livestock farm labourers 6 0.11%

9214 Garden and horticultural labourers 2 0.03%

9215 Forestry labourers 4 0.07%

9216 Fishery and aquaculture labourers 2 0.03%

9311 Mining and quarrying labourers 6 0.11%

9312 Civil engineering labourers 2 0.03%

9313 Building construction labourers 22 0.43%

9329 Manufacturing labourers not elsewhere classified 10 0.19%

9331 Hand and pedal vehicle drivers 1 0.01%

9411 Fast food preparers 10 0.19%

9412 Kitchen helpers 9 0.17%

9510 Street and related service workers 20 0.39%

9520 Street vendors (excluding food) 9 0.17%

9611 Garbage and recycling collectors 2 0.03%

9621 Messengers, package deliverers and luggage porters 4 0.07%

9622 Odd job persons 9 0.17%

9624 Water and firewood collectors 3 0.05%

9629 Elementary workers not elsewhere classified 12 0.23%

99110 Commissioned armed forces officers 2 0.03%

99210 Non-commissioned armed forces officers 2 0.03%

99310 Armed forces occupations, other ranks 8 0.15%

NA 2552 50.73%

# LB2_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=3663 /-] [Invalid=1367 /-] [Mean=1.00600600600601 /-] [StDev=0.0772758962193343 /-]

Value Label Cases Percentage

1 Yes 3641 72.38%

2 No 22 0.43%

NA 1367 27.17%

# LB4a: LB4a What is the main economic activity of your place of work?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

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Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the main economic activity of your place of work?

# LB4_oneDigit: Main Category - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 11111-211111] [Missing=*]

Statistics [NW/ W] [Valid=2477 /-] [Invalid=2553 /-] [Mean=50953.5514735567 /-] [StDev=59855.9073325167 /-]

Value Label Cases Percentage

11111 Agriculture, forestry and fishing 1440 28.62%

21111 Mining and quarrying 11 0.21%

31111 Manufacturing 123 2.44%

41111 Electricity, gas, steam and air conditioning supply 8 0.15%

51111 Water supply; sewerage, waste management and remediation activities

2 0.03%

61111 Construction 62 1.23%

71111 Wholesale and retail trade; repair of motor vehicles and motorcycles

296 5.88%

81111 Transportation and storage 75 1.49%

91111 Accommodation and food service activities 53 1.05%

101111 Information and communication 10 0.19%

111111 Financial and insurance activitie 14 0.27%

121111 Real estate activities 3 0.05%

131111 Professional, scientific and technical activities 26 0.51%

141111 Administrative and support service activities 18 0.35%

151111 Public administration and defence; compulsory social security

13 0.25%

161111 Education 76 1.51%

171111 Human health and social work activities 43 0.85%

181111 Arts, entertainment and recreation 12 0.23%

191111 Other service activities 134 2.66%

201111 Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use

50 0.99%

211111 Activities of extraterritorial organizations and bodies 8 0.15%

NA 2553 50.75%

# LB4_twoDigit: SubCategory level1 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 1-99] [Missing=*]

Statistics [NW/ W] [Valid=2476 /-] [Invalid=2554 /-] [Mean=25.4321486268174 /-] [StDev=33.4099096227107 /-]

Value Label Cases Percentage

1 Crop and animal production, hunting and related service activities

1418 28.19%

2 Forestry and logging 6 0.11%

3 Fishing and aquaculture 16 0.31%

8 Other mining and quarrying 10 0.19%

9 Mining support service activities 1 0.01%

10 Manufacture of food products 19 0.37%

11 Manufacture of beverages 25 0.49%

13 Manufacture of textiles 10 0.19%

14 Manufacture of wearing apparel 6 0.11%

16 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

21 0.41%

18 Printing and reproduction of recorded media 1 0.01%

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Value Label Cases Percentage

20 Manufacture of chemicals and chemical products 1 0.01%

23 Manufacture of other non-metallic mineral products 19 0.37%

25 Manufacture of fabricated metal products, except machinery and equipment

4 0.07%

31 Manufacture of furniture 7 0.13%

32 Other manufacturing 7 0.13%

33 Repair and installation of machinery and equipment 2 0.03%

35 Electricity, gas, steam and air conditioning supply 8 0.15%

36 Water collection, treatment and supply 1 0.01%

37 Sewerage 1 0.01%

41 Construction of buildings 53 1.05%

42 Civil engineering 1 0.01%

43 Specialized construction activities 8 0.15%

45 Wholesale and retail trade and repair of motor vehicles and motorcycles

32 0.63%

46 Wholesale trade, except of motor vehicles and motorcycles

25 0.49%

47 Retail trade, except of motor vehicles and motorcycles 239 4.75%

49 Land transport and transport via pipelines 75 1.49%

55 Accommodation 4 0.07%

56 Food and beverage service activities 49 0.97%

61 Telecommunications 2 0.03%

62 Computer programming, consultancy and related activities

5 0.09%

63 Information service activities 3 0.05%

64 Financial service activities, except insurance and pension funding

11 0.21%

65 Insurance, reinsurance and pension funding, except compulsory social security

2 0.03%

66 Activities auxiliary to financial service and insurance activities

1 0.01%

68 Real estate activities 3 0.05%

69 Legal and accounting activities 4 0.07%

70 Activities of head offices; management consultancy activities

1 0.01%

71 Architectural and engineering activities; technical testing and analysis

4 0.07%

74 Other professional, scientific and technical activities 15 0.29%

75 Veterinary activities 2 0.03%

78 Employment activities 1 0.01%

80 Security and investigation activities 6 0.11%

82 Office administrative, office support and other business support activities

11 0.21%

84 Public administration and defence; compulsory social security

13 0.25%

85 Education 76 1.51%

86 Human health activities 30 0.59%

88 Social work activities without accommodation 13 0.25%

90 Creative, arts and entertainment activities 11 0.21%

93 Sports activities and amusement and recreation activities

1 0.01%

94 Activities of membership organizations 5 0.09%

95 Repair of computers and personal and household goods 4 0.07%

96 Other personal service activities 125 2.48%

97 Activities of households as employers of domestic personnel

44 0.87%

98 Undifferentiated goods- and services-producing activities of private households for own use

6 0.11%

99 Activities of extraterritorial organizations and bodies 8 0.15%

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Value Label Cases Percentage

NA 2554 50.77%

# LB4_threeDigit: SubCategory level2 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 105-990222] [Missing=*]

Statistics [NW/ W] [Valid=2475 /-] [Invalid=2555 /-] [Mean=14160.4307070707 /-] [StDev=64405.879669662 /-]

Value Label Cases Percentage

105 Manufacture of dairy products 1 0.01%

106 Manufacture of grain mill products, starches and starch products

6 0.11%

107 Manufacture of other food products 12 0.23%

110 Manufacture of beverages 25 0.49%

131 Spinning, weaving and finishing of textiles 4 0.07%

139 Manufacture of other textiles 6 0.11%

181 Printing and service activities related to printing 1 0.01%

202 Manufacture of other chemical products 1 0.01%

239 Manufacture of non-metallic mineral products n.e.c. 19 0.37%

251 Manufacture of structural metal products, tanks, reservoirs and steam generators

1 0.01%

259 Manufacture of other fabricated metal products; metalworking service activities

3 0.05%

310 Manufacture of furniture 7 0.13%

329 Other manufacturing n.e.c. 7 0.13%

331 Repair of fabricated metal products, machinery and equipment

2 0.03%

351 Electric power generation, transmission and distribution

5 0.09%

352 Manufacture of gas; distribution of gaseous fuels through mains

2 0.03%

353 Steam and air conditioning supply 1 0.01%

360 Water collection, treatment and supply 1 0.01%

370 Sewerage 1 0.01%

410 Construction of buildings 53 1.05%

421 Construction of roads and railways 1 0.01%

432 Electrical, plumbing and other construction installation activities

1 0.01%

433 Building completion and finishing 2 0.03%

439 Other specialized construction activities 5 0.09%

451 Sale of motor vehicles 2 0.03%

452 Maintenance and repair of motor vehicles 14 0.27%

453 Sale of motor vehicle parts and accessories 2 0.03%

454 Sale, maintenance and repair of motorcycles and related parts and accessories

14 0.27%

462 Wholesale of agricultural raw materials and live animals

2 0.03%

463 Wholesale of food, beverages and tobacco 8 0.15%

464 Wholesale of household goods 9 0.17%

465 Wholesale of machinery, equipment and supplies 1 0.01%

466 Other specialized wholesale 2 0.03%

469 Non-specialized wholesale trade 3 0.05%

471 Retail sale in non-specialized stores 67 1.33%

472 Retail sale of food, beverages and tobacco in specialized stores

40 0.79%

473 Retail sale of automotive fuel in specialized stores 3 0.05%

475 Retail sale of other household equipment in specialized stores

6 0.11%

476 Retail sale of cultural and recreation goods in specialized stores

1 0.01%

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Value Label Cases Percentage

477 Retail sale of other goods in specialized stores 27 0.53%

478 Retail sale via stalls and markets 62 1.23%

479 Retail trade not in stores, stalls or markets 32 0.63%

492 Other land transport 75 1.49%

551 Short term accommodation activities 3 0.05%

559 Other accommodation 1 0.01%

561 Restaurants and mobile food service activities 34 0.67%

562 Event catering and other food service activities 10 0.19%

563 Beverage serving activities 5 0.09%

612 Wireless telecommunications activities 1 0.01%

619 Other telecommunications activities 1 0.01%

631 Data processing, hosting and related activities; web portals

2 0.03%

639 Other information service activities 1 0.01%

641 Monetary intermediation 4 0.07%

642 Activities of holding companies 2 0.03%

649 Other financial service activities, except insurance and pension funding activities

5 0.09%

651 Insurance 2 0.03%

663 Fund management activities 1 0.01%

682 Real estate activities on a fee or contract basis 3 0.05%

691 Legal activities 1 0.01%

692 Accounting, bookkeeping and auditing activities; tax consultancy

3 0.05%

702 Management consultancy activities 1 0.01%

711 Architectural and engineering activities and related technical consultancy

4 0.07%

741 Specialized design activities 4 0.07%

749 Other professional, scientific and technical activities n.e.c.

11 0.21%

750 Veterinary activities 2 0.03%

781 Activities of employment placement agencies 1 0.01%

801 Private security activities 1 0.01%

802 Security systems service activities 4 0.07%

803 Investigation activities 1 0.01%

821 Office administrative and support activities 9 0.17%

822 Activities of call centres 1 0.01%

829 Business support service activities n.e.c. 1 0.01%

841 Administration of the State and the economic and social policy of the community

4 0.07%

842 Provision of services to the community as a whole 6 0.11%

843 Compulsory social security activities 3 0.05%

851 Pre-primary and primary education 60 1.19%

852 Secondary education 8 0.15%

853 Higher education 3 0.05%

854 Other education 4 0.07%

855 Educational support activities 1 0.01%

861 Hospital activities 13 0.25%

862 Medical and dental practice activities 5 0.09%

869 Other human health activities 12 0.23%

881 Social work activities without accommodation for the elderly and disabled

8 0.15%

889 Other social work activities without accommodation 5 0.09%

900 Creative, arts and entertainment activities 11 0.21%

931 Sports activities 1 0.01%

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Value Label Cases Percentage

949 Activities of other membership organizations 5 0.09%

951 Repair of computers and communication equipment 1 0.01%

952 Repair of personal and household goods 3 0.05%

960 Other personal service activities 125 2.48%

970 Activities of households as employers of domestic personnel

44 0.87%

981 Undifferentiated goods-producing activities of private households for own use

3 0.05%

982 Undifferentiated service-producing activities of private households for own use

3 0.05%

11222 Growing of non-perennial crops 996 19.8%

12222 Growing of perennial crops 26 0.51%

14222 Animal production 29 0.57%

15222 Mixed farming 232 4.61%

16222 Support activities to agriculture and post-harvest crop activities

135 2.68%

21222 Silviculture and other forestry activities 3 0.05%

22222 Logging 3 0.05%

31222 Fishing 16 0.31%

81222 Quarrying of stone, sand and clay 10 0.19%

99222 Support activities for other mining and quarrying 1 0.01%

141222 Manufacture of wearing apparel, except fur apparel 5 0.09%

143222 Manufacture of knitted and crocheted apparel 1 0.01%

161222 Sawmilling and planing of wood 3 0.05%

162222 Manufacture of products of wood, cork, straw and plaiting materials

18 0.35%

620222 Computer programming, consultancy and related activities

5 0.09%

990222 Activities of extraterritorial organizations and bodies 8 0.15%

NA 2555 50.79%

# LB4_fourDigit: SubCategory level3 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 111-9900] [Missing=*]

Statistics [NW/ W] [Valid=2475 /-] [Invalid=2555 /-] [Mean=2568.98181818182 /-] [StDev=3340.39349819594 /-]

Value Label Cases Percentage

111 Growing of cereals (except rice), leguminous crops and oil seeds

574 11.41%

112 Growing of rice 4 0.07%

113 Growing of vegetables and melons, roots and tubers 178 3.53%

114 Growing of sugar cane 2 0.03%

115 Growing of tobacco 24 0.47%

119 Growing of other non-perennial crops 214 4.25%

122 Growing of tropical and subtropical fruits 12 0.23%

123 Growing of citrus fruits 2 0.03%

129 Growing of other perennial crops 12 0.23%

141 Raising of cattle and buffaloes 16 0.31%

144 Raising of sheep and goats 2 0.03%

145 Raising of swine/pigs 2 0.03%

146 Raising of poultry 6 0.11%

149 Raising of other animals 3 0.05%

150 Mixed farming 232 4.61%

161 Support activities for crop production 67 1.33%

162 Support activities for animal production 6 0.11%

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Value Label Cases Percentage

163 Post-harvest crop activities 61 1.21%

164 Seed processing for propagation 1 0.01%

210 Silviculture and other forestry activities 3 0.05%

220 Logging 3 0.05%

311 Marine fishing 1 0.01%

312 Freshwater fishing 15 0.29%

810 Quarrying of stone, sand and clay 10 0.19%

990 Support activities for other mining and quarrying 1 0.01%

1050 Manufacture of dairy products 1 0.01%

1061 Manufacture of grain mill products 5 0.09%

1062 Manufacture of starches and starch products 1 0.01%

1071 Manufacture of bakery products 9 0.17%

1072 Manufacture of sugar 1 0.01%

1075 Manufacture of prepared meals and dishes 2 0.03%

1101 Distilling, rectifying and blending of spirits 22 0.43%

1103 Manufacture of malt liquors and malt 2 0.03%

1104 Manufacture of soft drinks; production of mineral waters and other bottled waters

1 0.01%

1312 Weaving of textiles 2 0.03%

1313 Finishing of textiles 2 0.03%

1392 Manufacture of made-up textile articles, except apparel 4 0.07%

1394 Manufacture of cordage, rope, twine and netting 1 0.01%

1399 Manufacture of other textiles n.e.c. 1 0.01%

1410 Manufacture of wearing apparel, except fur apparel 5 0.09%

1430 Manufacture of knitted and crocheted apparel 1 0.01%

1610 Sawmilling and planing of wood 3 0.05%

1622 Manufacture of buildersÿý carpentry and joinery 5 0.09%

1629 Manufacture of other products of wood; manufacture of articles of cork, straw and plaiting materials

13 0.25%

1811 Printing 1 0.01%

2029 Manufacture of other chemical products n.e.c. 1 0.01%

2392 Manufacture of clay building materials 17 0.33%

2399 Manufacture of other non-metallic mineral products n.e.c.

2 0.03%

2511 Manufacture of structural metal products 1 0.01%

2593 Manufacture of cutlery, hand tools and general hardware

1 0.01%

2599 Manufacture of other fabricated metal products n.e.c. 2 0.03%

3100 Manufacture of furniture 7 0.13%

3290 Other manufacturing n.e.c. 7 0.13%

3312 Repair of machinery 1 0.01%

3315 Repair of transport equipment, except motor vehicles 1 0.01%

3510 Electric power generation, transmission and distribution

5 0.09%

3520 Manufacture of gas; distribution of gaseous fuels through mains

2 0.03%

3530 Steam and air conditioning supply 1 0.01%

3600 Water collection, treatment and supply 1 0.01%

3700 Sewerage 1 0.01%

4100 Construction of buildings 53 1.05%

4210 Construction of roads and railways 1 0.01%

4322 Plumbing, heat and air-conditioning installation 1 0.01%

4330 Building completion and finishing 2 0.03%

4390 Other specialized construction activities 5 0.09%

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Value Label Cases Percentage

4510 Sale of motor vehicles 2 0.03%

4520 Maintenance and repair of motor vehicles 14 0.27%

4530 Sale of motor vehicle parts and accessories 2 0.03%

4540 Sale, maintenance and repair of motorcycles and related parts and accessories

14 0.27%

4620 Wholesale of agricultural raw materials and live animals

2 0.03%

4630 Wholesale of food, beverages and tobacco 8 0.15%

4641 Wholesale of textiles, clothing and footwear 1 0.01%

4649 Wholesale of other household goods 8 0.15%

4652 Wholesale of electronic and telecommunications equipment and parts

1 0.01%

4663 Wholesale of construction materials, hardware, plumbing and heating equipment and supplies

1 0.01%

4669 Wholesale of waste and scrap and other products n.e.c. 1 0.01%

4690 Non-specialized wholesale trade 3 0.05%

4711 Retail sale in non-specialized stores with food, beverages or tobacco predominating

38 0.75%

4719 Other retail sale in non-specialized stores 29 0.57%

4721 Retail sale of food in specialized stores 24 0.47%

4722 Retail sale of beverages in specialized stores 15 0.29%

4723 Retail sale of tobacco products in specialized stores 1 0.01%

4730 Retail sale of automotive fuel in specialized stores 3 0.05%

4751 Retail sale of textiles in specialized stores 1 0.01%

4752 Retail sale of hardware, paints and glass in specialized stores

1 0.01%

4759 Retail sale of electrical household appliances, furniture, lighting equipment and other household articles in specialized stores

4 0.07%

4761 Retail sale of books, newspapers and stationary in specialized stores

1 0.01%

4771 Retail sale of clothing, footwear and leather articles in specialized stores

4 0.07%

4772 Retail sale of pharmaceutical and medical goods, cosmetic and toilet articles in specialized stores

4 0.07%

4773 Other retail sale of new goods in specialized stores 15 0.29%

4774 Retail sale of second-hand goods 4 0.07%

4781 Retail sale via stalls and markets of food, beverages and tobacco products

39 0.77%

4782 Retail sale via stalls and markets of textiles, clothing and footwear

5 0.09%

4789 Retail sale via stalls and markets of other goods 18 0.35%

4799 Other retail sale not in stores, stalls or markets 32 0.63%

4921 Urban and suburban passenger land transport 28 0.55%

4922 Other passenger land transport 45 0.89%

4923 Freight transport by road 2 0.03%

5510 Short term accommodation activities 3 0.05%

5590 Other accommodation 1 0.01%

5610 Restaurants and mobile food service activities 34 0.67%

5621 Event catering 1 0.01%

5629 Other food service activities 9 0.17%

5630 Beverage serving activities 5 0.09%

6120 Wireless telecommunications activities 1 0.01%

6190 Other telecommunications activities 1 0.01%

6201 Computer programming activities 1 0.01%

6202 Computer consultancy and computer facilities management activities

2 0.03%

6209 Other information technology and computer service activities

2 0.03%

6311 Data processing, hosting and related activities 2 0.03%

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Value Label Cases Percentage

6399 Other information service activities n.e.c. 1 0.01%

6411 Central banking 2 0.03%

6419 Other monetary intermediation 2 0.03%

6420 Activities of holding companies 2 0.03%

6499 Other financial service activities, except insurance and pension funding activities, n.e.c.

5 0.09%

6512 Non-life insurance 2 0.03%

6630 Fund management activities 1 0.01%

6820 Real estate activities on a fee or contract basis 3 0.05%

6910 Legal activities 1 0.01%

6920 Accounting, bookkeeping and auditing activities; tax consultancy

3 0.05%

7020 Management consultancy activities 1 0.01%

7110 Architectural and engineering activities and related technical consultancy

4 0.07%

7410 Specialized design activities 4 0.07%

7490 Other professional, scientific and technical activities n.e.c.

11 0.21%

7500 Veterinary activities 2 0.03%

7810 Activities of employment placement agencies 1 0.01%

8010 Private security activities 1 0.01%

8020 Security systems service activities 4 0.07%

8030 Investigation activities 1 0.01%

8211 Combined office administrative service activities 9 0.17%

8220 Activities of call centres 1 0.01%

8299 Other business support service activities n.e.c. 1 0.01%

8411 General public administration activities 3 0.05%

8413 Regulation of and contribution to more efficient operation of businesses

1 0.01%

8422 Defence activities 5 0.09%

8423 Public order and safety activities 1 0.01%

8430 Compulsory social security activities 3 0.05%

8510 Pre-primary and primary education 60 1.19%

8521 General secondary education 8 0.15%

8530 Higher education 3 0.05%

8549 Other education n.e.c. 4 0.07%

8550 Educational support activities 1 0.01%

8610 Hospital activities 13 0.25%

8620 Medical and dental practice activities 5 0.09%

8690 Other human health activities 12 0.23%

8810 Social work activities without accommodation for the elderly and disabled

8 0.15%

8890 Other social work activities without accommodation 5 0.09%

9000 Creative, arts and entertainment activities 11 0.21%

9319 Other sports activities 1 0.01%

9491 Activities of religious organizations 3 0.05%

9499 Activities of other membership organizations n.e.c. 2 0.03%

9512 Repair of communication equipment 1 0.01%

9523 Repair of footwear and leather goods 2 0.03%

9529 Repair of other personal and household goods 1 0.01%

9601 Washing and (dry-) cleaning of textile and fur products 8 0.15%

9602 Hairdressing and other beauty treatment 18 0.35%

9609 Other personal service activities n.e.c. 99 1.96%

9700 Activities of households as employers of domestic personnel

44 0.87%

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Value Label Cases Percentage

9810 Undifferentiated goods-producing activities of private households for own use

3 0.05%

9820 Undifferentiated service-producing activities of private households for own use

3 0.05%

9900 Activities of extraterritorial organizations and bodies 8 0.15%

NA 2555 50.79%

# LB4_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=3655 /-] [Invalid=1375 /-] [Mean=1.00492476060192 /-] [StDev=0.0700132021117539 /-]

Value Label Cases Percentage

1 Yes 3637 72.3%

2 No 18 0.35%

NA 1375 27.33%

# LB5a: LB5a How much was your last payment (cash and in-kind) for this work?

Information [Type= contin] [Format= numeric] [Range= 0-21000000] [Missing=*]

Statistics [NW/ W] [Valid=695 /-] [Invalid=4335 /-] [Mean=290170.215827338 /-] [StDev=988314.688457063 /-]

Pre-Question Text ONLY FOR PAID EMPLOYEES

Literal Question How much was your last payment (cash and in-kind) for this work?

# LB5b: LB5b Codes LB5b

Information [Type= discrete] [Format= numeric] [Range= 2-8] [Missing=*]

Statistics [NW/ W] [Valid=696 /-] [Invalid=4334 /-] [Mean=3.7801724137931 /-] [StDev=1.44409807520343 /-]

Pre-Question Text ONLY FOR PAID EMPLOYEES

Literal Question How much was your last payment (cash and in-kind) for this work?- Codes

Value Label Cases Percentage

2 Day 249 4.95%

3 Week 54 1.07%

4 Fortnight 4 0.07%

5 Month 384 7.63%

6 Quarter 2 0.03%

7 Half year 1 0.01%

8 Year 2 0.03%

NA 4334 86.16%

# LB6: LB6 Has %rostertitle% received any skills or job training?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=624 /-] [Invalid=4406 /-] [Mean=1.93269230769231 /-] [StDev=0.25075512577583 /-]

Pre-Question Text For refugees

Literal Question Has [NAME] received any skills or job training in the last 12 months?

Post-Question Text No>>LB9

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Value Label Cases Percentage

1 Yes 42 0.83%

2 No 582 11.57%

NA 4406 87.59%

# LB7: Type of skills

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=42 /-] [Invalid=4988 /-] [Mean=67.7857142857143 /-] [StDev=42.6749116416624 /-]

Pre-Question Text For refugees

Literal Question Type of skills

Value Label Cases Percentage

1 Tailoring 2 0.03%

3 Carpentry 3 0.05%

4 Brick laying and concrete practice 2 0.03%

6 Hair dressing 2 0.03%

8 Mechanical work (eg Phone repair, tv repair, motocycle repair)

4 0.07%

96 Others (specify) 29 0.57%

NA 4988 99.16%

# LB7_oth: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text For refugees

Literal Question Type of skills - Others (specify)

Value Label Cases Percentage

4992 99.24%

##N/A## 9 0.17%

BASIC HEALTH AND FIRST AID

1 0.01%

building skills

1 0.01%

bussiness skills

1 0.01%

child protection

1 0.01%

COMMUNITY MOBILISATION SKILLS

1 0.01%

computer skills

1 0.01%

driving school

2 0.03%

driving skills

1 0.01%

education 1 0.01%

education for adults

1 0.01%

finance related skills

1 0.01%

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Value Label Cases Percentage

GUIDENCE AND CONSELLING SKILLS

1 0.01%

health issues

1 0.01%

HYGIENE MANAGEMENT

1 0.01%

interpreting 1 0.01%

Interpreting 1 0.01%

Making soap

1 0.01%

modern farming skills

1 0.01%

taught by others and observation

1 0.01%

TEACHING

2 0.03%

teaching skills

1 0.01%

Teaching skills

1 0.01%

TEACHING SKILLS

3 0.05%

trading skills

1 0.01%

Treating human diseases using local herbs

1 0.01%

# LB8: LB8 Who provided the training?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=42 /-] [Invalid=4988 /-] [Mean=44.4761904761905 /-] [StDev=47.3977657676785 /-]

Pre-Question Text For refugees

Literal Question Who provided the training?

Value Label Cases Percentage

1 Govt 2 0.03%

2 NGOs 21 0.41%

96 Other (specify) 19 0.37%

NA 4988 99.16%

# LB8_oth: LB8 Others

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text For refugees

Literal Question Who provided the training? - Other (specify)

Value Label Cases Percentage

5002 99.44%

##N/A## 9 0.17%

A friend 1 0.01%

Danish church aid( DCA)

1 0.01%

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Value Label Cases Percentage

family relatives

1 0.01%

friends 1 0.01%

friends car 1 0.01%

His father 1 0.01%

onjob training,seminars

1 0.01%

personal 3 0.05%

personal funding

1 0.01%

personal mechanic school

1 0.01%

personal training

1 0.01%

private garage

1 0.01%

Privately went through school with assistance from her auntie

1 0.01%

she learnt it way back in Burundi from a friends saloon

1 0.01%

she went to study education after s.4 in a private school

1 0.01%

UNHCR 2 0.03%

# LB9: LB9. At the time of leaving the country where %rostertitle% lived before moving

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1511 /-] [Invalid=3519 /-] [Mean=1.47981469225678 /-] [StDev=0.499757787766235 /-]

Pre-Question Text For refugees 18 years and above

Literal Question At the time of leaving the country where [NAME] lived before moving to Uganda, was [NAME] employed or operating a business?

Post-Question Text - No>>LB12- DK>>LB12

Value Label Cases Percentage

1 Yes 786 15.62%

2 No 725 14.41%

NA 3519 69.96%

# LB10a: LB10a What was the nature of the work (for the main employment status) you did

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text For refugees 18 years and above

Literal Question What was the nature of the work (for the main employment status) you did before moving to Uganda?

# LB10_oneDigit: Main Category- ISCO code

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Information [Type= discrete] [Format= numeric] [Range= 0-9] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=5.61195928753181 /-] [StDev=1.73632879517809 /-]

Value Label Cases Percentage

Armed forces occupations 11 0.21%

1 Managers 5 0.09%

2 Professionals 57 1.13%

3 Technicians and associate professionals 18 0.35%

4 Clerical support workers 10 0.19%

5 Service and sales workers 184 3.65%

6 Skilled agricultural, forestry and fishery workers 373 7.41%

7 Craft and related trades workers 37 0.73%

8 Plant and machine operators and assemblers 38 0.75%

9 Elementary occupations 53 1.05%

NA 4244 84.37%

# LB10_twoDigit: SubCategory Level1 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 12-993] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=72.6679389312977 /-] [StDev=110.886688776645 /-]

Value Label Cases Percentage

12 Administrative and commercial managers 2 0.03%

14 Hospitality, retail and other services managers 3 0.05%

22 Health professionals 10 0.19%

23 Teaching professionals 40 0.79%

24 Business and administration professionals 7 0.13%

31 Science and engineering associate professionals 7 0.13%

32 Health associate professionals 5 0.09%

33 Business and administration associate professionals 4 0.07%

34 Legal, social, cultural and related associate professionals

1 0.01%

35 Information and communications technicians 1 0.01%

41 General and keyboard clerks 1 0.01%

42 Customer services clerks 5 0.09%

44 Other clerical support workers 4 0.07%

51 Personal service workers 23 0.45%

52 Sales workers 159 3.16%

53 Personal care workers 1 0.01%

54 Protective services workers 1 0.01%

61 Market-oriented skilled agricultural workers 4 0.07%

62 Market-oriented skilled forestry, fishery and hunting workers

9 0.17%

63 Subsistence farmers, fishers, hunters and gatherers 360 7.15%

71 Building and related trades workers, excluding electricians

14 0.27%

72 Metal, machinery and related trades workers 4 0.07%

73 Handicraft and printing workers 5 0.09%

74 Electrical and electronic trades workers 1 0.01%

75 Food processing, wood working, garment and other craft and related trades workers

13 0.25%

81 Stationary plant and machine operators 8 0.15%

83 Drivers and mobile plant operators 30 0.59%

91 Cleaners and helpers 4 0.07%

92 Agricultural, forestry and fishery labourers 18 0.35%

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Value Label Cases Percentage

93 Labourers in mining, construction, manufacturing and transport

4 0.07%

94 Food preparation assistants 8 0.15%

95 Street and related sales and service workers 15 0.29%

96 Refuse workers and other elementary workers 4 0.07%

992 Non-commissioned armed forces officers 2 0.03%

993 Armed forces occupations, other ranks 9 0.17%

NA 4244 84.37%

# LB10_threeDigit: SubCategory Level2 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 121-9931] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=728.437659033079 /-] [StDev=1108.71821409872 /-]

Value Label Cases Percentage

121 Business services and administration managers 1 0.01%

122 Sales, marketing and development managers 1 0.01%

141 Hotel and restaurant managers 2 0.03%

143 Other services managers 1 0.01%

221 Medical doctors 1 0.01%

222 Nursing and midwifery professionals 7 0.13%

223 Traditional and complementary medicine professionals 1 0.01%

225 Veterinarians 1 0.01%

232 Vocational education teachers 1 0.01%

233 Secondary education teachers 2 0.03%

234 Primary school and early childhood teachers 30 0.59%

235 Other teaching professionals 7 0.13%

241 Finance professionals 4 0.07%

242 Administration professionals 3 0.05%

311 Physical and engineering science technicians 5 0.09%

312 Mining, manufacturing and construction supervisors 1 0.01%

314 Life science technicians and related associate professionals

1 0.01%

321 Medical and pharmaceutical technicians 2 0.03%

322 Nursing and midwifery associate professionals 2 0.03%

323 Traditional and complementary medicine associate professionals

1 0.01%

331 Financial and mathematical associate professionals 1 0.01%

334 Administrative and specialized secretaries 2 0.03%

335 Regulatory government associate professionals 1 0.01%

341 Legal, social and religious associate professionals 1 0.01%

351 Information and communications technology operations and user support technicians

1 0.01%

412 Secretaries (general) 1 0.01%

421 Tellers, money collectors and related clerks 2 0.03%

422 Client information workers 3 0.05%

441 Other clerical support workers 4 0.07%

511 Travel attendants, conductors and guides 2 0.03%

512 Cooks 5 0.09%

513 Waiters and bartenders 5 0.09%

514 Hairdressers, beauticians and related workers 4 0.07%

516 Other personal services workers 7 0.13%

521 Street and market salespersons 81 1.61%

522 Shop salespersons 61 1.21%

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Value Label Cases Percentage

523 Cashiers and ticket clerks 1 0.01%

524 Other sales workers 16 0.31%

532 Personal care workers in health services 1 0.01%

541 Protective services workers 1 0.01%

613 Mixed crop and animal producers 4 0.07%

621 Forestry and related workers 4 0.07%

622 Fishery workers, hunters and trappers 5 0.09%

631 Subsistence crop farmers 270 5.36%

632 Subsistence livestock farmers 10 0.19%

633 Subsistence mixed crop and livestock farmers 73 1.45%

634 Subsistence fishers, hunters, trappers and gatherers 7 0.13%

711 Building frame and related trades workers 14 0.27%

723 Machinery mechanics and repairers 4 0.07%

731 Handicraft workers 5 0.09%

742 Electronics and telecommunications installers and repairers

1 0.01%

751 Food processing and related trades workers 5 0.09%

753 Garment and related trades workers 4 0.07%

754 Other craft and related workers 4 0.07%

811 Mining and mineral processing plant operators 2 0.03%

815 Textile, fur and leather products machine operators 3 0.05%

816 Food and related products machine operators 2 0.03%

818 Other stationary plant and machine operators 1 0.01%

831 Locomotive engine drivers and related workers 28 0.55%

833 Heavy truck and bus drivers 2 0.03%

911 Domestic, hotel and office cleaners and helpers 4 0.07%

921 Agricultural, forestry and fishery labourers 18 0.35%

931 Mining and construction labourers 3 0.05%

932 Manufacturing labourers 1 0.01%

941 Food preparation assistants 8 0.15%

951 Street and related service workers 14 0.27%

952 Street vendors (excluding food) 1 0.01%

962 Other elementary workers 4 0.07%

9921 Non-commissioned armed forces officers 2 0.03%

9931 Armed forces occupations, other ranks 9 0.17%

NA 4244 84.37%

# LB10_fourDigit: SubCategory Level3 - ISCO code

Information [Type= discrete] [Format= numeric] [Range= 832-99310] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=7238.2417302799 /-] [StDev=11098.5948765817 /-]

Value Label Cases Percentage

832 Car, van and motorcycle drivers 5 0.09%

1219 Business services and administration managers not elsewhere classified

1 0.01%

1221 Sales and marketing managers 1 0.01%

1412 Restaurant managers 2 0.03%

1439 Services managers not elsewhere classified 1 0.01%

2211 Generalist medical practitioners 1 0.01%

2221 Nursing professionals 5 0.09%

2222 Midwifery professionals 2 0.03%

2230 Traditional and complementary medicine professionals 1 0.01%

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Value Label Cases Percentage

2250 Veterinarians 1 0.01%

2320 Vocational education teachers 1 0.01%

2330 Secondary education teachers 2 0.03%

2341 Primary school teachers 24 0.47%

2342 Early childhood educators 6 0.11%

2351 Education methods specialists 1 0.01%

2353 Other language teachers 2 0.03%

2359 Teaching professionals not elsewhere classified 4 0.07%

2411 Accountants 4 0.07%

2422 Policy administration professionals 2 0.03%

2423 Personnel and careers professionals 1 0.01%

3111 Chemical and physical science technicians 1 0.01%

3112 Civil engineering technicians 1 0.01%

3113 Electrical engineering technicians 3 0.05%

3123 Construction supervisors 1 0.01%

3143 Forestry technicians 1 0.01%

3212 Medical and pathology laboratory technicians 1 0.01%

3213 Pharmaceutical technicians and assistants 1 0.01%

3221 Nursing associate professionals 1 0.01%

3222 Midwifery associate professionals 1 0.01%

3230 Traditional and complementary medicine associate professionals

1 0.01%

3313 Accounting associate professionals 1 0.01%

3343 Administrative and executive secretaries 2 0.03%

3352 Government tax and excise officials 1 0.01%

3412 Social work associate professionals 1 0.01%

3513 Computer network and systems technicians 1 0.01%

4120 Secretaries (general) 1 0.01%

4211 Bank tellers and related clerks 1 0.01%

4214 Debt-collectors and related workers 1 0.01%

4222 Contact centre information clerks 1 0.01%

4226 Receptionists (general) 2 0.03%

4414 Scribes and related workers 1 0.01%

4419 Clerical support workers not elsewhere classified 3 0.05%

5111 Travel attendants and travel stewards 1 0.01%

5112 Transport conductors 1 0.01%

5120 Cooks 5 0.09%

5131 Waiters 4 0.07%

5132 Bartenders 1 0.01%

5141 Hairdressers 4 0.07%

5169 Personal services workers not elsewhere classified 7 0.13%

5211 Stall and market salespersons 62 1.23%

5212 Street food salespersons 19 0.37%

5221 Shop keepers 59 1.17%

5222 Shop supervisors 1 0.01%

5223 Shop sales assistants 1 0.01%

5230 Cashiers and ticket clerks 1 0.01%

5242 Sales demonstrators 1 0.01%

5243 Door to door salespersons 1 0.01%

5246 Food service counter attendants 1 0.01%

5249 Sales workers not elsewhere classified 13 0.25%

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Value Label Cases Percentage

5329 Personal care workers in health services not elsewhere classified

1 0.01%

5414 Security guards 1 0.01%

6130 Mixed crop and animal producers 4 0.07%

6210 Forestry and related workers 4 0.07%

6222 Inland and coastal waters fishery workers 3 0.05%

6223 Deep-sea fishery workers 1 0.01%

6224 Hunters and trappers 1 0.01%

6310 Subsistence crop farmers 270 5.36%

6320 Subsistence livestock farmers 10 0.19%

6330 Subsistence mixed crop and livestock farmers 73 1.45%

6340 Subsistence fishers, hunters, trappers and gatherers 7 0.13%

7111 House builders 12 0.23%

7115 Carpenters and joiners 2 0.03%

7231 Motor vehicle mechanics and repairers 2 0.03%

7234 Bicycle and related repairers 2 0.03%

7317 Handicraft workers in wood, basketry and related materials

2 0.03%

7318 Handicraft workers in textile, leather and related materials

2 0.03%

7319 Handicraft workers not elsewhere classified 1 0.01%

7422 Information and communications technology installers and servicers

1 0.01%

7511 Butchers, fishmongers and related food preparers 1 0.01%

7512 Bakers, pastry-cooks and confectionery makers 1 0.01%

7515 Food and beverage tasters and graders 3 0.05%

7531 Tailors, dressmakers, furriers and hatters 4 0.07%

7549 Craft and related workers not elsewhere classified 4 0.07%

8111 Miners and quarriers 1 0.01%

8113 Well drillers and borers and related workers 1 0.01%

8153 Sewing machine operators 2 0.03%

8156 Shoemaking and related machine operators 1 0.01%

8160 Food and related products machine operators 2 0.03%

8189 Stationary plant and machine operators not elsewhere classified

1 0.01%

8321 Motorcycle drivers 15 0.29%

8322 Car, taxi and van drivers 8 0.15%

8332 Heavy truck and lorry drivers 2 0.03%

9111 Domestic cleaners and helpers 1 0.01%

9112 Cleaners and helpers in offices, hotels and other establishments

3 0.05%

9211 Crop farm labourers 12 0.23%

9212 Livestock farm labourers 4 0.07%

9213 Mixed crop and livestock farm labourers 2 0.03%

9313 Building construction labourers 3 0.05%

9329 Manufacturing labourers not elsewhere classified 1 0.01%

9411 Fast food preparers 5 0.09%

9412 Kitchen helpers 3 0.05%

9510 Street and related service workers 14 0.27%

9520 Street vendors (excluding food) 1 0.01%

9629 Elementary workers not elsewhere classified 4 0.07%

99210 Non-commissioned armed forces officers 2 0.03%

99310 Armed forces occupations, other ranks 9 0.17%

NA 4244 84.37%

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# LB10_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=476 /-] [Invalid=4554 /-] [Mean=1.00210084033613 /-] [StDev=0.0458349248514106 /-]

Value Label Cases Percentage

1 Yes 475 9.44%

2 No 1 0.01%

NA 4554 90.53%

# LB11a: LB11a What was the main economic activity of the place you worked at before movi

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text For refugees 18 years and above

Literal Question What was the main economic activity of the place you worked at before moving to Uganda?

# LB11_oneDigit: Main Category - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 11111-191111] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=54584.2824427481 /-] [StDev=54209.0543936751 /-]

Value Label Cases Percentage

11111 Agriculture, forestry and fishing 390 7.75%

21111 Mining and quarrying 2 0.03%

31111 Manufacturing 29 0.57%

41111 Electricity, gas, steam and air conditioning supply 3 0.05%

61111 Construction 20 0.39%

71111 Wholesale and retail trade; repair of motor vehicles and motorcycles

154 3.06%

81111 Transportation and storage 36 0.71%

91111 Accommodation and food service activities 27 0.53%

101111 Information and communication 3 0.05%

111111 Financial and insurance activitie 8 0.15%

131111 Professional, scientific and technical activities 10 0.19%

141111 Administrative and support service activities 5 0.09%

151111 Public administration and defence; compulsory social security

16 0.31%

161111 Education 41 0.81%

171111 Human health and social work activities 15 0.29%

181111 Arts, entertainment and recreation 1 0.01%

191111 Other service activities 26 0.51%

NA 4244 84.37%

# LB11_twoDigit: SubCategory level1 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=29.0152671755725 /-] [StDev=31.7788500109381 /-]

Value Label Cases Percentage

1 Crop and animal production, hunting and related service activities

380 7.55%

2 Forestry and logging 5 0.09%

3 Fishing and aquaculture 5 0.09%

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Value Label Cases Percentage

6 Extraction of crude petroleum and natural gas 1 0.01%

8 Other mining and quarrying 1 0.01%

10 Manufacture of food products 7 0.13%

11 Manufacture of beverages 6 0.11%

12 Manufacture of tobacco products 1 0.01%

13 Manufacture of textiles 5 0.09%

14 Manufacture of wearing apparel 2 0.03%

16 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

5 0.09%

31 Manufacture of furniture 1 0.01%

32 Other manufacturing 2 0.03%

35 Electricity, gas, steam and air conditioning supply 3 0.05%

41 Construction of buildings 18 0.35%

42 Civil engineering 2 0.03%

45 Wholesale and retail trade and repair of motor vehicles and motorcycles

6 0.11%

46 Wholesale trade, except of motor vehicles and motorcycles

7 0.13%

47 Retail trade, except of motor vehicles and motorcycles 141 2.8%

49 Land transport and transport via pipelines 35 0.69%

52 Warehousing and support activities for transportation 1 0.01%

55 Accommodation 1 0.01%

56 Food and beverage service activities 26 0.51%

61 Telecommunications 1 0.01%

62 Computer programming, consultancy and related activities

1 0.01%

63 Information service activities 1 0.01%

64 Financial service activities, except insurance and pension funding

8 0.15%

69 Legal and accounting activities 1 0.01%

70 Activities of head offices; management consultancy activities

1 0.01%

74 Other professional, scientific and technical activities 8 0.15%

82 Office administrative, office support and other business support activities

5 0.09%

84 Public administration and defence; compulsory social security

16 0.31%

85 Education 41 0.81%

86 Human health activities 12 0.23%

87 Residential care activities 1 0.01%

88 Social work activities without accommodation 2 0.03%

90 Creative, arts and entertainment activities 1 0.01%

94 Activities of membership organizations 1 0.01%

96 Other personal service activities 25 0.49%

NA 4244 84.37%

# LB11_threeDigit: SubCategory level2 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 103-620222] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=9096.80788804071 /-] [StDev=26973.1364721261 /-]

Value Label Cases Percentage

103 Processing and preserving of fruit and vegetables 1 0.01%

106 Manufacture of grain mill products, starches and starch products

1 0.01%

107 Manufacture of other food products 5 0.09%

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Value Label Cases Percentage

110 Manufacture of beverages 6 0.11%

120 Manufacture of tobacco products 1 0.01%

131 Spinning, weaving and finishing of textiles 3 0.05%

139 Manufacture of other textiles 2 0.03%

310 Manufacture of furniture 1 0.01%

329 Other manufacturing n.e.c. 2 0.03%

351 Electric power generation, transmission and distribution

3 0.05%

410 Construction of buildings 18 0.35%

421 Construction of roads and railways 1 0.01%

429 Construction of other civil engineering projects 1 0.01%

452 Maintenance and repair of motor vehicles 2 0.03%

453 Sale of motor vehicle parts and accessories 1 0.01%

454 Sale, maintenance and repair of motorcycles and related parts and accessories

3 0.05%

462 Wholesale of agricultural raw materials and live animals

1 0.01%

463 Wholesale of food, beverages and tobacco 1 0.01%

464 Wholesale of household goods 3 0.05%

466 Other specialized wholesale 1 0.01%

469 Non-specialized wholesale trade 1 0.01%

471 Retail sale in non-specialized stores 50 0.99%

472 Retail sale of food, beverages and tobacco in specialized stores

33 0.65%

475 Retail sale of other household equipment in specialized stores

2 0.03%

477 Retail sale of other goods in specialized stores 5 0.09%

478 Retail sale via stalls and markets 39 0.77%

479 Retail trade not in stores, stalls or markets 12 0.23%

492 Other land transport 35 0.69%

522 Support activities for transportation 1 0.01%

551 Short term accommodation activities 1 0.01%

561 Restaurants and mobile food service activities 23 0.45%

562 Event catering and other food service activities 2 0.03%

563 Beverage serving activities 1 0.01%

619 Other telecommunications activities 1 0.01%

639 Other information service activities 1 0.01%

641 Monetary intermediation 4 0.07%

642 Activities of holding companies 1 0.01%

649 Other financial service activities, except insurance and pension funding activities

3 0.05%

692 Accounting, bookkeeping and auditing activities; tax consultancy

1 0.01%

702 Management consultancy activities 1 0.01%

749 Other professional, scientific and technical activities n.e.c.

8 0.15%

821 Office administrative and support activities 4 0.07%

823 Organization of conventions and trade shows 1 0.01%

841 Administration of the State and the economic and social policy of the community

6 0.11%

842 Provision of services to the community as a whole 4 0.07%

843 Compulsory social security activities 6 0.11%

851 Pre-primary and primary education 35 0.69%

852 Secondary education 3 0.05%

853 Higher education 1 0.01%

854 Other education 2 0.03%

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Value Label Cases Percentage

861 Hospital activities 7 0.13%

869 Other human health activities 5 0.09%

871 Residential nursing care facilities 1 0.01%

881 Social work activities without accommodation for the elderly and disabled

1 0.01%

889 Other social work activities without accommodation 1 0.01%

900 Creative, arts and entertainment activities 1 0.01%

949 Activities of other membership organizations 1 0.01%

960 Other personal service activities 25 0.49%

11222 Growing of non-perennial crops 245 4.87%

12222 Growing of perennial crops 1 0.01%

14222 Animal production 15 0.29%

15222 Mixed farming 105 2.08%

16222 Support activities to agriculture and post-harvest crop activities

14 0.27%

21222 Silviculture and other forestry activities 1 0.01%

22222 Logging 2 0.03%

24222 Support services to forestry 2 0.03%

31222 Fishing 5 0.09%

61222 Extraction of crude petroleum 1 0.01%

81222 Quarrying of stone, sand and clay 1 0.01%

141222 Manufacture of wearing apparel, except fur apparel 2 0.03%

162222 Manufacture of products of wood, cork, straw and plaiting materials

5 0.09%

620222 Computer programming, consultancy and related activities

1 0.01%

NA 4244 84.37%

# LB11_fourDigit: SubCategory level3 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 111-9609] [Missing=*]

Statistics [NW/ W] [Valid=786 /-] [Invalid=4244 /-] [Mean=2930.1844783715 /-] [StDev=3178.53088129982 /-]

Value Label Cases Percentage

111 Growing of cereals (except rice), leguminous crops and oil seeds

138 2.74%

112 Growing of rice 2 0.03%

113 Growing of vegetables and melons, roots and tubers 59 1.17%

116 Growing of fibre crops 1 0.01%

119 Growing of other non-perennial crops 45 0.89%

129 Growing of other perennial crops 1 0.01%

141 Raising of cattle and buffaloes 11 0.21%

144 Raising of sheep and goats 3 0.05%

149 Raising of other animals 1 0.01%

150 Mixed farming 105 2.08%

161 Support activities for crop production 13 0.25%

163 Post-harvest crop activities 1 0.01%

210 Silviculture and other forestry activities 1 0.01%

220 Logging 2 0.03%

240 Support services to forestry 2 0.03%

312 Freshwater fishing 5 0.09%

610 Extraction of crude petroleum 1 0.01%

810 Quarrying of stone, sand and clay 1 0.01%

1030 Processing and preserving of fruit and vegetables 1 0.01%

1061 Manufacture of grain mill products 1 0.01%

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Value Label Cases Percentage

1071 Manufacture of bakery products 4 0.07%

1075 Manufacture of prepared meals and dishes 1 0.01%

1101 Distilling, rectifying and blending of spirits 5 0.09%

1103 Manufacture of malt liquors and malt 1 0.01%

1200 Manufacture of tobacco products 1 0.01%

1313 Finishing of textiles 3 0.05%

1399 Manufacture of other textiles n.e.c. 2 0.03%

1410 Manufacture of wearing apparel, except fur apparel 2 0.03%

1622 Manufacture of buildersÿý carpentry and joinery 2 0.03%

1629 Manufacture of other products of wood; manufacture of articles of cork, straw and plaiting materials

3 0.05%

3100 Manufacture of furniture 1 0.01%

3290 Other manufacturing n.e.c. 2 0.03%

3510 Electric power generation, transmission and distribution

3 0.05%

4100 Construction of buildings 18 0.35%

4210 Construction of roads and railways 1 0.01%

4290 Construction of other civil engineering projects 1 0.01%

4520 Maintenance and repair of motor vehicles 2 0.03%

4530 Sale of motor vehicle parts and accessories 1 0.01%

4540 Sale, maintenance and repair of motorcycles and related parts and accessories

3 0.05%

4620 Wholesale of agricultural raw materials and live animals

1 0.01%

4630 Wholesale of food, beverages and tobacco 1 0.01%

4641 Wholesale of textiles, clothing and footwear 1 0.01%

4649 Wholesale of other household goods 2 0.03%

4663 Wholesale of construction materials, hardware, plumbing and heating equipment and supplies

1 0.01%

4690 Non-specialized wholesale trade 1 0.01%

4711 Retail sale in non-specialized stores with food, beverages or tobacco predominating

26 0.51%

4719 Other retail sale in non-specialized stores 24 0.47%

4721 Retail sale of food in specialized stores 28 0.55%

4722 Retail sale of beverages in specialized stores 5 0.09%

4751 Retail sale of textiles in specialized stores 1 0.01%

4759 Retail sale of electrical household appliances, furniture, lighting equipment and other household articles in specialized stores

1 0.01%

4771 Retail sale of clothing, footwear and leather articles in specialized stores

4 0.07%

4773 Other retail sale of new goods in specialized stores 1 0.01%

4781 Retail sale via stalls and markets of food, beverages and tobacco products

25 0.49%

4782 Retail sale via stalls and markets of textiles, clothing and footwear

2 0.03%

4789 Retail sale via stalls and markets of other goods 12 0.23%

4799 Other retail sale not in stores, stalls or markets 12 0.23%

4921 Urban and suburban passenger land transport 20 0.39%

4922 Other passenger land transport 13 0.25%

4923 Freight transport by road 2 0.03%

5224 Cargo handling 1 0.01%

5510 Short term accommodation activities 1 0.01%

5610 Restaurants and mobile food service activities 23 0.45%

5629 Other food service activities 2 0.03%

5630 Beverage serving activities 1 0.01%

6190 Other telecommunications activities 1 0.01%

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Value Label Cases Percentage

6201 Computer programming activities 1 0.01%

6399 Other information service activities n.e.c. 1 0.01%

6419 Other monetary intermediation 4 0.07%

6420 Activities of holding companies 1 0.01%

6492 Other credit granting 1 0.01%

6499 Other financial service activities, except insurance and pension funding activities, n.e.c.

2 0.03%

6920 Accounting, bookkeeping and auditing activities; tax consultancy

1 0.01%

7020 Management consultancy activities 1 0.01%

7490 Other professional, scientific and technical activities n.e.c.

8 0.15%

8211 Combined office administrative service activities 2 0.03%

8219 Photocopying, document preparation and other specialized office support activities

2 0.03%

8230 Activities of collection agencies and credit bureaus 1 0.01%

8411 General public administration activities 5 0.09%

8413 Regulation of and contribution to more efficient operation of businesses

1 0.01%

8422 Defence activities 1 0.01%

8423 Public order and safety activities 3 0.05%

8430 Compulsory social security activities 6 0.11%

8510 Pre-primary and primary education 35 0.69%

8521 General secondary education 3 0.05%

8530 Higher education 1 0.01%

8549 Other education n.e.c. 2 0.03%

8610 Hospital activities 7 0.13%

8690 Other human health activities 5 0.09%

8710 Residential nursing care facilities 1 0.01%

8810 Social work activities without accommodation for the elderly and disabled

1 0.01%

8890 Other social work activities without accommodation 1 0.01%

9000 Creative, arts and entertainment activities 1 0.01%

9491 Activities of religious organizations 1 0.01%

9602 Hairdressing and other beauty treatment 4 0.07%

9609 Other personal service activities n.e.c. 21 0.41%

NA 4244 84.37%

# LB11_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=3642 /-] [Invalid=1388 /-] [Mean=1.00411861614498 /-] [StDev=0.0640529442284268 /-]

Value Label Cases Percentage

1 Yes 3627 72.1%

2 No 15 0.29%

NA 1388 27.59%

# LB12a: LB12a. What the economic sector you would like to be engaged in the future?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text For refugees 18 years and above

Literal Question What the economic sector you would like to be engaged in the future?

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# LB12_oneDigit: Main Category - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 11111-201111] [Missing=*]

Statistics [NW/ W] [Valid=1560 /-] [Invalid=3470 /-] [Mean=74361 /-] [StDev=55402.3275331212 /-]

Value Label Cases Percentage

11111 Agriculture, forestry and fishing 416 8.27%

21111 Mining and quarrying 2 0.03%

31111 Manufacturing 90 1.78%

41111 Electricity, gas, steam and air conditioning supply 5 0.09%

51111 Water supply; sewerage, waste management and remediation activities

2 0.03%

61111 Construction 27 0.53%

71111 Wholesale and retail trade; repair of motor vehicles and motorcycles

540 10.73%

81111 Transportation and storage 62 1.23%

91111 Accommodation and food service activities 55 1.09%

101111 Information and communication 10 0.19%

111111 Financial and insurance activitie 14 0.27%

121111 Real estate activities 1 0.01%

131111 Professional, scientific and technical activities 52 1.03%

141111 Administrative and support service activities 7 0.13%

151111 Public administration and defence; compulsory social security

7 0.13%

161111 Education 112 2.22%

171111 Human health and social work activities 78 1.55%

181111 Arts, entertainment and recreation 10 0.19%

191111 Other service activities 69 1.37%

201111 Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use

1 0.01%

NA 3470 68.98%

# LB12_twoDigit: SubCategory level1 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 1-97] [Missing=*]

Statistics [NW/ W] [Valid=1560 /-] [Invalid=3470 /-] [Mean=41.6192307692308 /-] [StDev=30.6285011411472 /-]

Value Label Cases Percentage

1 Crop and animal production, hunting and related service activities

405 8.05%

2 Forestry and logging 2 0.03%

3 Fishing and aquaculture 9 0.17%

8 Other mining and quarrying 1 0.01%

9 Mining support service activities 1 0.01%

10 Manufacture of food products 8 0.15%

11 Manufacture of beverages 6 0.11%

12 Manufacture of tobacco products 1 0.01%

13 Manufacture of textiles 41 0.81%

14 Manufacture of wearing apparel 10 0.19%

16 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

11 0.21%

18 Printing and reproduction of recorded media 1 0.01%

23 Manufacture of other non-metallic mineral products 3 0.05%

31 Manufacture of furniture 3 0.05%

32 Other manufacturing 3 0.05%

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Value Label Cases Percentage

33 Repair and installation of machinery and equipment 3 0.05%

35 Electricity, gas, steam and air conditioning supply 5 0.09%

36 Water collection, treatment and supply 2 0.03%

41 Construction of buildings 23 0.45%

42 Civil engineering 3 0.05%

43 Specialized construction activities 1 0.01%

45 Wholesale and retail trade and repair of motor vehicles and motorcycles

21 0.41%

46 Wholesale trade, except of motor vehicles and motorcycles

88 1.74%

47 Retail trade, except of motor vehicles and motorcycles 431 8.56%

49 Land transport and transport via pipelines 60 1.19%

52 Warehousing and support activities for transportation 2 0.03%

55 Accommodation 3 0.05%

56 Food and beverage service activities 52 1.03%

60 Programming and broadcasting activities 1 0.01%

61 Telecommunications 1 0.01%

62 Computer programming, consultancy and related activities

6 0.11%

63 Information service activities 2 0.03%

64 Financial service activities, except insurance and pension funding

13 0.25%

66 Activities auxiliary to financial service and insurance activities

1 0.01%

68 Real estate activities 1 0.01%

69 Legal and accounting activities 10 0.19%

71 Architectural and engineering activities; technical testing and analysis

15 0.29%

72 Scientific research and development 2 0.03%

74 Other professional, scientific and technical activities 24 0.47%

75 Veterinary activities 1 0.01%

82 Office administrative, office support and other business support activities

7 0.13%

84 Public administration and defence; compulsory social security

7 0.13%

85 Education 112 2.22%

86 Human health activities 68 1.35%

88 Social work activities without accommodation 10 0.19%

90 Creative, arts and entertainment activities 10 0.19%

94 Activities of membership organizations 1 0.01%

95 Repair of computers and personal and household goods 3 0.05%

96 Other personal service activities 65 1.29%

97 Activities of households as employers of domestic personnel

1 0.01%

NA 3470 68.98%

# LB12_threeDigit: SubCategory level2 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 106-721222] [Missing=*]

Statistics [NW/ W] [Valid=1560 /-] [Invalid=3470 /-] [Mean=9685.99230769231 /-] [StDev=49954.31616908 /-]

Value Label Cases Percentage

106 Manufacture of grain mill products, starches and starch products

3 0.05%

107 Manufacture of other food products 5 0.09%

110 Manufacture of beverages 6 0.11%

120 Manufacture of tobacco products 1 0.01%

131 Spinning, weaving and finishing of textiles 19 0.37%

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Value Label Cases Percentage

139 Manufacture of other textiles 22 0.43%

181 Printing and service activities related to printing 1 0.01%

239 Manufacture of non-metallic mineral products n.e.c. 3 0.05%

310 Manufacture of furniture 3 0.05%

329 Other manufacturing n.e.c. 2 0.03%

331 Repair of fabricated metal products, machinery and equipment

3 0.05%

351 Electric power generation, transmission and distribution

5 0.09%

360 Water collection, treatment and supply 2 0.03%

410 Construction of buildings 23 0.45%

421 Construction of roads and railways 1 0.01%

429 Construction of other civil engineering projects 2 0.03%

439 Other specialized construction activities 1 0.01%

451 Sale of motor vehicles 2 0.03%

452 Maintenance and repair of motor vehicles 7 0.13%

453 Sale of motor vehicle parts and accessories 1 0.01%

454 Sale, maintenance and repair of motorcycles and related parts and accessories

11 0.21%

461 Wholesale on a fee or contract basis 1 0.01%

462 Wholesale of agricultural raw materials and live animals

6 0.11%

463 Wholesale of food, beverages and tobacco 23 0.45%

464 Wholesale of household goods 37 0.73%

469 Non-specialized wholesale trade 21 0.41%

471 Retail sale in non-specialized stores 158 3.14%

472 Retail sale of food, beverages and tobacco in specialized stores

67 1.33%

474 Retail sale of information and communications equipment in specialized stores

2 0.03%

475 Retail sale of other household equipment in specialized stores

5 0.09%

477 Retail sale of other goods in specialized stores 35 0.69%

478 Retail sale via stalls and markets 136 2.7%

479 Retail trade not in stores, stalls or markets 28 0.55%

492 Other land transport 60 1.19%

521 Warehousing and storage 1 0.01%

522 Support activities for transportation 1 0.01%

551 Short term accommodation activities 3 0.05%

561 Restaurants and mobile food service activities 44 0.87%

562 Event catering and other food service activities 4 0.07%

563 Beverage serving activities 4 0.07%

601 Radio broadcasting 1 0.01%

612 Wireless telecommunications activities 1 0.01%

639 Other information service activities 2 0.03%

641 Monetary intermediation 6 0.11%

642 Activities of holding companies 3 0.05%

643 Trusts, funds and similar financial entities 1 0.01%

649 Other financial service activities, except insurance and pension funding activities

3 0.05%

663 Fund management activities 1 0.01%

681 Real estate activities with own or leased property 1 0.01%

691 Legal activities 2 0.03%

692 Accounting, bookkeeping and auditing activities; tax consultancy

8 0.15%

711 Architectural and engineering activities and related technical consultancy

15 0.29%

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Value Label Cases Percentage

741 Specialized design activities 3 0.05%

749 Other professional, scientific and technical activities n.e.c.

21 0.41%

750 Veterinary activities 1 0.01%

821 Office administrative and support activities 7 0.13%

841 Administration of the State and the economic and social policy of the community

3 0.05%

842 Provision of services to the community as a whole 3 0.05%

843 Compulsory social security activities 1 0.01%

851 Pre-primary and primary education 75 1.49%

852 Secondary education 22 0.43%

853 Higher education 4 0.07%

854 Other education 4 0.07%

855 Educational support activities 7 0.13%

861 Hospital activities 51 1.01%

862 Medical and dental practice activities 11 0.21%

869 Other human health activities 6 0.11%

881 Social work activities without accommodation for the elderly and disabled

7 0.13%

889 Other social work activities without accommodation 3 0.05%

900 Creative, arts and entertainment activities 10 0.19%

949 Activities of other membership organizations 1 0.01%

951 Repair of computers and communication equipment 1 0.01%

952 Repair of personal and household goods 2 0.03%

960 Other personal service activities 65 1.29%

970 Activities of households as employers of domestic personnel

1 0.01%

11222 Growing of non-perennial crops 215 4.27%

12222 Growing of perennial crops 1 0.01%

13222 Plant propagation 1 0.01%

14222 Animal production 41 0.81%

15222 Mixed farming 126 2.5%

16222 Support activities to agriculture and post-harvest crop activities

20 0.39%

17222 Hunting, trapping and related service activities 1 0.01%

24222 Support services to forestry 2 0.03%

31222 Fishing 8 0.15%

32222 Aquaculture 1 0.01%

81222 Quarrying of stone, sand and clay 1 0.01%

99222 Support activities for other mining and quarrying 1 0.01%

141222 Manufacture of wearing apparel, except fur apparel 9 0.17%

143222 Manufacture of knitted and crocheted apparel 1 0.01%

161222 Sawmilling and planing of wood 5 0.09%

162222 Manufacture of products of wood, cork, straw and plaiting materials

6 0.11%

321222 Manufacture of jewellery, bijouterie and related articles 1 0.01%

620222 Computer programming, consultancy and related activities

6 0.11%

721222 Research and experimental development on natural sciences and engineering

2 0.03%

NA 3470 68.98%

# LB12_fourDigit: SubCategory level3 - ISIC code

Information [Type= discrete] [Format= numeric] [Range= 111-9700] [Missing=*]

Statistics [NW/ W] [Valid=1560 /-] [Invalid=3470 /-] [Mean=4194.7782051282 /-] [StDev=3059.36593304712 /-]

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Value Label Cases Percentage

111 Growing of cereals (except rice), leguminous crops and oil seeds

110 2.18%

112 Growing of rice 4 0.07%

113 Growing of vegetables and melons, roots and tubers 76 1.51%

114 Growing of sugar cane 1 0.01%

115 Growing of tobacco 3 0.05%

119 Growing of other non-perennial crops 21 0.41%

122 Growing of tropical and subtropical fruits 1 0.01%

130 Plant propagation 1 0.01%

141 Raising of cattle and buffaloes 15 0.29%

144 Raising of sheep and goats 13 0.25%

145 Raising of swine/pigs 1 0.01%

146 Raising of poultry 10 0.19%

149 Raising of other animals 2 0.03%

150 Mixed farming 126 2.5%

161 Support activities for crop production 18 0.35%

162 Support activities for animal production 1 0.01%

163 Post-harvest crop activities 1 0.01%

170 Hunting, trapping and related service activities 1 0.01%

240 Support services to forestry 2 0.03%

312 Freshwater fishing 8 0.15%

321 Marine aquaculture 1 0.01%

810 Quarrying of stone, sand and clay 1 0.01%

990 Support activities for other mining and quarrying 1 0.01%

1061 Manufacture of grain mill products 2 0.03%

1062 Manufacture of starches and starch products 1 0.01%

1071 Manufacture of bakery products 5 0.09%

1101 Distilling, rectifying and blending of spirits 5 0.09%

1103 Manufacture of malt liquors and malt 1 0.01%

1200 Manufacture of tobacco products 1 0.01%

1311 Preparation and spinning of textile fibres 5 0.09%

1312 Weaving of textiles 4 0.07%

1313 Finishing of textiles 10 0.19%

1392 Manufacture of made-up textile articles, except apparel 7 0.13%

1399 Manufacture of other textiles n.e.c. 15 0.29%

1410 Manufacture of wearing apparel, except fur apparel 9 0.17%

1430 Manufacture of knitted and crocheted apparel 1 0.01%

1610 Sawmilling and planing of wood 5 0.09%

1621 Manufacture of veneer sheets and wood-based panels 1 0.01%

1622 Manufacture of buildersÿý carpentry and joinery 3 0.05%

1629 Manufacture of other products of wood; manufacture of articles of cork, straw and plaiting materials

2 0.03%

1811 Printing 1 0.01%

2392 Manufacture of clay building materials 3 0.05%

3100 Manufacture of furniture 3 0.05%

3211 Manufacture of jewellery and related articles 1 0.01%

3290 Other manufacturing n.e.c. 2 0.03%

3312 Repair of machinery 1 0.01%

3313 Repair of electronic and optical equipment 1 0.01%

3315 Repair of transport equipment, except motor vehicles 1 0.01%

3510 Electric power generation, transmission and distribution

5 0.09%

3600 Water collection, treatment and supply 2 0.03%

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Value Label Cases Percentage

4100 Construction of buildings 23 0.45%

4210 Construction of roads and railways 1 0.01%

4290 Construction of other civil engineering projects 2 0.03%

4390 Other specialized construction activities 1 0.01%

4510 Sale of motor vehicles 2 0.03%

4520 Maintenance and repair of motor vehicles 7 0.13%

4530 Sale of motor vehicle parts and accessories 1 0.01%

4540 Sale, maintenance and repair of motorcycles and related parts and accessories

11 0.21%

4610 Wholesale on a fee or contract basis 1 0.01%

4620 Wholesale of agricultural raw materials and live animals

6 0.11%

4630 Wholesale of food, beverages and tobacco 23 0.45%

4641 Wholesale of textiles, clothing and footwear 13 0.25%

4649 Wholesale of other household goods 24 0.47%

4690 Non-specialized wholesale trade 21 0.41%

4711 Retail sale in non-specialized stores with food, beverages or tobacco predominating

111 2.2%

4719 Other retail sale in non-specialized stores 47 0.93%

4721 Retail sale of food in specialized stores 51 1.01%

4722 Retail sale of beverages in specialized stores 16 0.31%

4741 Retail sale of computers, peripheral units, software and telecommunications equipment in specialized stores

2 0.03%

4751 Retail sale of textiles in specialized stores 3 0.05%

4752 Retail sale of hardware, paints and glass in specialized stores

1 0.01%

4753 Retail sale of carpets, rugs, wall and floor coverings in specialized stores

1 0.01%

4771 Retail sale of clothing, footwear and leather articles in specialized stores

27 0.53%

4773 Other retail sale of new goods in specialized stores 7 0.13%

4774 Retail sale of second-hand goods 1 0.01%

4781 Retail sale via stalls and markets of food, beverages and tobacco products

88 1.74%

4782 Retail sale via stalls and markets of textiles, clothing and footwear

22 0.43%

4789 Retail sale via stalls and markets of other goods 26 0.51%

4799 Other retail sale not in stores, stalls or markets 28 0.55%

4921 Urban and suburban passenger land transport 34 0.67%

4922 Other passenger land transport 25 0.49%

4923 Freight transport by road 1 0.01%

5210 Warehousing and storage 1 0.01%

5229 Other transportation support activities 1 0.01%

5510 Short term accommodation activities 3 0.05%

5610 Restaurants and mobile food service activities 44 0.87%

5629 Other food service activities 4 0.07%

5630 Beverage serving activities 4 0.07%

6010 Radio broadcasting 1 0.01%

6120 Wireless telecommunications activities 1 0.01%

6201 Computer programming activities 4 0.07%

6202 Computer consultancy and computer facilities management activities

2 0.03%

6391 News agency activities 1 0.01%

6399 Other information service activities n.e.c. 1 0.01%

6411 Central banking 2 0.03%

6419 Other monetary intermediation 4 0.07%

6420 Activities of holding companies 3 0.05%

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Value Label Cases Percentage

6430 Trusts, funds and similar financial entities 1 0.01%

6492 Other credit granting 1 0.01%

6499 Other financial service activities, except insurance and pension funding activities, n.e.c.

2 0.03%

6630 Fund management activities 1 0.01%

6810 Real estate activities with own or leased property 1 0.01%

6910 Legal activities 2 0.03%

6920 Accounting, bookkeeping and auditing activities; tax consultancy

8 0.15%

7110 Architectural and engineering activities and related technical consultancy

15 0.29%

7210 Research and experimental development on natural sciences and engineering

2 0.03%

7410 Specialized design activities 3 0.05%

7490 Other professional, scientific and technical activities n.e.c.

21 0.41%

7500 Veterinary activities 1 0.01%

8211 Combined office administrative service activities 6 0.11%

8219 Photocopying, document preparation and other specialized office support activities

1 0.01%

8411 General public administration activities 2 0.03%

8413 Regulation of and contribution to more efficient operation of businesses

1 0.01%

8422 Defence activities 1 0.01%

8423 Public order and safety activities 2 0.03%

8430 Compulsory social security activities 1 0.01%

8510 Pre-primary and primary education 75 1.49%

8521 General secondary education 18 0.35%

8522 Technical and vocational secondary education 4 0.07%

8530 Higher education 4 0.07%

8541 Sports and recreation education 1 0.01%

8549 Other education n.e.c. 3 0.05%

8550 Educational support activities 7 0.13%

8610 Hospital activities 51 1.01%

8620 Medical and dental practice activities 11 0.21%

8690 Other human health activities 6 0.11%

8810 Social work activities without accommodation for the elderly and disabled

7 0.13%

8890 Other social work activities without accommodation 3 0.05%

9000 Creative, arts and entertainment activities 10 0.19%

9491 Activities of religious organizations 1 0.01%

9511 Repair of computers and peripheral equipment 1 0.01%

9523 Repair of footwear and leather goods 1 0.01%

9529 Repair of other personal and household goods 1 0.01%

9602 Hairdressing and other beauty treatment 27 0.53%

9609 Other personal service activities n.e.c. 38 0.75%

9700 Activities of households as employers of domestic personnel

1 0.01%

NA 3470 68.98%

# LB12_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=981 /-] [Invalid=4049 /-] [Mean=1.00509683995923 /-] [StDev=0.0712463088926035 /-]

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Value Label Cases Percentage

1 Yes 976 19.4%

2 No 5 0.09%

NA 4049 80.49%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=112.51888667992 /-] [StDev=64.6758497510098 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=5030 /-] [Invalid=0 /-] [Mean=5.47912524850895 /-] [StDev=2.8876802431254 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 512 10.17%

2 485 9.64%

3 537 10.67%

4 521 10.35%

5 514 10.21%

6 473 9.4%

7 480 9.54%

8 478 9.5%

9 509 10.11%

10 521 10.35%

File hsec9

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# HP3: HP3 Has your household ever received construction materials/shelter support?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=874 /-] [Invalid=1113 /-] [Mean=1.51258581235698 /-] [StDev=0.50012776839926 /-]

Pre-Question Text ONLY FOR REFUGEE HOUSEHOLDS

Literal Question Has your household ever received construction materials/shelter support?

Post-Question Text No>>HC01

Value Label Cases Percentage

1 Yes 426 21.43%

2 No 448 22.54%

NA 1113 56.01%

# HP3A: HP3A Who gave you this support?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

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Statistics [NW/ W] [Valid=426 /-] [Invalid=1561 /-] [Mean=6.58450704225352 /-] [StDev=17.1300532430393 /-]

Pre-Question Text ONLY FOR REFUGEE HOUSEHOLDS

Literal Question Who gave you this support?

Value Label Cases Percentage

1 Government of Uganda 5 0.25%

3 UNHCR 357 17.96%

4 UNICEF 2 0.1%

5 Other UN agencies 5 0.25%

6 International NGO 39 1.96%

7 Local NGO 2 0.1%

8 Religious organisation 1 0.05%

96 Other(specify) 15 0.75%

NA 1561 78.56%

# HP3A_oth: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text ONLY FOR REFUGEE HOUSEHOLDS

Literal Question Who gave you this support? - Other (specify)

Value Label Cases Percentage

1972 99.24%

AMERICAN REFUGEE COMMITTEE

2 0.1%

Danish Refugee Council

1 0.05%

FIDA 1 0.05%

friend 5 0.25%

friends 2 0.1%

Friends 1 0.05%

InterAid 1 0.05%

LWF 1 0.05%

Parents 1 0.05%

# HC01: What is the occupancy tenure of the dwelling unit?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=2.20533467539004 /-] [StDev=3.7070618933854 /-]

Literal Question What is the occupancy tenure of your current dwelling unit?

Value Label Cases Percentage

1 Owner occupied 1511 76.04%

2 Free Public 60 3.01%

3 Free Private 74 3.72%

5 Subsidized Private 3 0.15%

6 Rented Public 37 1.86%

7 Rented Private 300 15.09%

96 Other (specify) 2 0.1%

# HC01b: Other-What is the occupancy tenure of the dwelling unit?

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Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the occupancy tenure of your current dwelling unit?- Other (specify)

Value Label Cases Percentage

1985 99.89%

A tarpaulin house

1 0.05%

Tarpaulin house

1 0.05%

# HC02: What type of dwelling is it?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=7.2964267740312 /-] [StDev=13.3020227400908 /-]

Literal Question What type of dwelling is it?

Value Label Cases Percentage

1 Detached house (single or multi-storey) 597 30.04%

2 Semi-Detached House 200 10.06%

3 Flat in a block of flats 13 0.65%

4 Room /rooms in Main House 106 5.33%

5 Servants Quarters 11 0.55%

6 Tenement (Muzigo) 262 13.18%

7 Garage 1 0.05%

8 Go down/ Basement 1 0.05%

9 Store 4 0.2%

10 Hut 752 37.84%

96 Other (specify) 40 2.01%

# HC02b: Other-What type of dwelling is it?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What type of dwelling is it? - Other (specify)

Value Label Cases Percentage

1947 97.98%

A tarpaulin house

1 0.05%

A tent 1 0.05%

made up with taplin

1 0.05%

make shift house mud and pole with tarpaulin and thatch roof

1 0.05%

mud consteucted house with poles and uron roof sheets

1 0.05%

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Value Label Cases Percentage

mud constrycted house with reeds and poles to support and iron sheet roof

1 0.05%

mud with poles roofed with banana fibres

2 0.1%

Reeds and dry grass house

1 0.05%

semi permanent( house mud stick and iron sheets

1 0.05%

tapoline 1 0.05%

tapuline 2 0.1%

tapuline house

2 0.1%

TAPULINE HOUSE

1 0.05%

tapuline tent 1 0.05%

Tarpaulin house

3 0.15%

temporary building

1 0.05%

tent 1 0.05%

Tent 3 0.15%

TENT 10 0.5%

tent house 1 0.05%

TENT WITH THATCH ROOF

1 0.05%

tents 1 0.05%

TURPLINE ROOFED

1 0.05%

UNHCR tarpaulin

1 0.05%

# HC03: How many rooms does your household use for sleeping?

Information [Type= discrete] [Format= numeric] [Range= 1-8] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=1.88223452440866 /-] [StDev=1.00813480739681 /-]

Literal Question How many rooms does your household use for sleeping?

Value Label Cases Percentage

1 898 45.19%

2 605 30.44%

3 347 17.46%

4 107 5.38%

5 22 1.1%

6 4 0.2%

7 3 0.15%

8 1 0.05%

# HC04: Type of material mainly used for construction of the roof

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=13.2249622546553 /-] [StDev=28.4842356877465 /-]

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Literal Question Type of material mainly used for construction of the roof

Value Label Cases Percentage

1 Iron sheets 875 44.03%

2 Tiles 16 0.8%

3 Asbestos 2 0.1%

4 Concrete 4 0.2%

5 Tins 1 0.05%

6 Thatch 880 44.28%

96 Other (specify) 209 10.51%

# HC04b: Other-Type of material mainly used for construction of the roof

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Type of material mainly used for construction of the roof - Other (specify)

# HC05: Type of material mainly used for construction of the wall

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=1 /-] [Mean=7.70191339375629 /-] [StDev=15.803636553876 /-]

Literal Question Type of material mainly used for construction of the wall

Value Label Cases Percentage

1 Concrete/ stones 17 0.85%

2 Cement blocks 42 2.11%

3 Burnt stabilized bricks 537 27.02%

4 Unburnt bricks with cement 52 2.61%

5 Unburnt bricks with mud 707 35.58%

6 Wood 8 0.4%

7 Mud and Poles 559 28.13%

8 Tin/Iron sheets 3 0.15%

96 Other (specify) 61 3.06%

NA 1 0.05%

# HC05b: Other-Type of material mainly used for construction of the wall

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Type of material mainly used for construction of the wall - Other (specify)

Value Label Cases Percentage

1926 96.93%

BURNT BRICK WITH MUD

3 0.15%

burnt with mud

1 0.05%

canvas 1 0.05%

CARPET/ TAPLIN

1 0.05%

cement, sand and bricks

1 0.05%

Mud and reeds

1 0.05%

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Value Label Cases Percentage

Mud and soil without poles

1 0.05%

mud plastered without poles

1 0.05%

plaster and paint

1 0.05%

POLES AND CARPET

1 0.05%

Poles and tapeline

1 0.05%

POLES AND TARPULIN

1 0.05%

Poles and Taupoline

1 0.05%

POLES AND TENT

1 0.05%

Poles and tents

1 0.05%

poles covered with blankets

1 0.05%

Reeds and dry grass

1 0.05%

Reeds covered with slashed tarpaulin

1 0.05%

sand 1 0.05%

sand plastered

2 0.1%

Sand plastered

1 0.05%

Sand plastered mud house

1 0.05%

Taplaine 1 0.05%

taplin 2 0.1%

tapoline 1 0.05%

Tapouline and Poles

1 0.05%

tapuline 4 0.2%

TAPULINE 2 0.1%

Tarpaulin 2 0.1%

Tarpaulin and grass

1 0.05%

Tarpaulin and poles

2 0.1%

Tarpaulin and Poles

1 0.05%

Tarpaulin house

1 0.05%

tent 1 0.05%

Tent 1 0.05%

TENT 6 0.3%

TENT AND POLES

2 0.1%

TENT/TAPLIN

1 0.05%

tent/tapuline 1 0.05%

TURPLINE 2 0.1%

turpline n sticks

1 0.05%

turpuline and sticks

1 0.05%

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Value Label Cases Percentage

UNHCR tarpaulin

1 0.05%

WOOD AND TAPULINE

1 0.05%

# HC06: Type of material mainly used for construction of the floor

Information [Type= discrete] [Format= numeric] [Range= 1-8] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=2.01811776547559 /-] [StDev=1.032539024971 /-]

Literal Question Type of material mainly used for construction of the floor

Value Label Cases Percentage

1 Earth 695 34.97%

2 Rammed earth 764 38.44%

3 Cement screed 427 21.48%

4 Concrete 23 1.15%

5 Tiles 67 3.37%

6 Brick 2 0.1%

7 Stone 5 0.25%

8 Wood 4 0.2%

# HC07: What is the household’s main source of water for DRINKING?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=5.48917966784097 /-] [StDev=8.39215445977769 /-]

Literal Question What is the household’s main source of water for DRINKING?

Post-Question Text - Piped water into dwelling (>>HC13)- Piped water to the yard (>>HC13)- Borehole in yard/plot (>>HC13)- Vendor (>>HC13)- Rain water (>>HC13)

Value Label Cases Percentage

1 Piped water into dwelling 74 3.72%

2 Piped water to the yard 152 7.64%

3 Public taps 422 21.23%

4 Borehole in yard/plot 20 1%

5 Public borehole 828 41.67%

6 Protected well/spring 131 6.59%

7 Unprotected well/spring 170 8.55%

8 River/stream/lake 105 5.28%

9 Vendor 30 1.5%

10 Tanker Truck 23 1.15%

11 Gravity Flow Scheme 5 0.25%

12 Rain water 7 0.35%

13 Bottled water 4 0.2%

96 Other (specify) 16 0.8%

# HC07b: Other-What is the household’s main source of water for DRINKING?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What is the household’s main source of water for DRINKING? - Other (specify)

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Value Label Cases Percentage

1971 99.19%

AAH tank 5 0.25%

Gets water in kind from sister in law who is the neighbour,they have not yet worked on their water source

1 0.05%

home tank 1 0.05%

LWF tank 1 0.05%

LWF Tank 1 0.05%

private taps 1 0.05%

tank 2 0.1%

Tank 2 0.1%

Water from underground pumped into the tanker

1 0.05%

water supply

1 0.05%

# HC08a: Time taken to and from the source of drinking water

Information [Type= discrete] [Format= numeric] [Range= 0-180] [Missing=*]

Statistics [NW/ W] [Valid=1703 /-] [Invalid=284 /-] [Mean=16.874339401057 /-] [StDev=17.8052710846277 /-]

Pre-Question Text Only if code in HC07 is either Code 03, 05, 06, 07, 08, 10, 11 or 13.

Literal Question Time taken to and from the source of drinking water and waiting time? - To and From

Value Label Cases Percentage

8 0.4%

1 66 3.32%

2 96 4.83%

3 82 4.12%

4 44 2.21%

5 156 7.85%

6 93 4.68%

7 5 0.25%

8 68 3.42%

9 2 0.1%

10 329 16.55%

12 25 1.25%

13 1 0.05%

14 12 0.6%

15 112 5.63%

16 5 0.25%

18 2 0.1%

20 208 10.46%

24 2 0.1%

25 14 0.7%

30 207 10.41%

32 1 0.05%

35 3 0.15%

40 44 2.21%

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Value Label Cases Percentage

45 6 0.3%

50 10 0.5%

60 81 4.07%

70 2 0.1%

80 2 0.1%

90 6 0.3%

100 1 0.05%

120 8 0.4%

180 2 0.1%

NA 284 14.29%

# HC08b: Waiting time at source of drinking water.

Information [Type= discrete] [Format= numeric] [Range= 0-4000] [Missing=*]

Statistics [NW/ W] [Valid=1703 /-] [Invalid=284 /-] [Mean=26.2014092777452 /-] [StDev=109.576312329033 /-]

Pre-Question Text Only if code in HC07 is either Code 03, 05, 06, 07, 08, 10, 11 or 13.

Literal Question Time taken to and from the source of drinking water and waiting time? - Waiting time

Value Label Cases Percentage

74 3.72%

1 106 5.33%

2 135 6.79%

3 92 4.63%

4 16 0.8%

5 248 12.48%

6 16 0.8%

7 5 0.25%

8 8 0.4%

10 181 9.1%

12 2 0.1%

15 86 4.32%

16 2 0.1%

18 2 0.1%

20 142 7.14%

24 1 0.05%

25 12 0.6%

30 222 11.17%

35 8 0.4%

40 51 2.56%

45 29 1.45%

50 14 0.7%

55 1 0.05%

59 1 0.05%

60 180 9.05%

65 1 0.05%

70 3 0.15%

80 2 0.1%

90 12 0.6%

120 40 2.01%

180 3 0.15%

240 4 0.2%

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Value Label Cases Percentage

300 2 0.1%

1800 1 0.05%

4000 1 0.05%

NA 284 14.29%

# HC09: What is the distance to this source of water?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=1703 /-] [Invalid=284 /-] [Mean=1.05343511450382 /-] [StDev=0.276516653748603 /-]

Pre-Question Text Only if code in HC07 is either Code 03, 05, 06, 07, 08, 10, 11 or 13.

Literal Question What is the distance to this source of water?

Value Label Cases Percentage

1 0 to &lt;3 KMs 1629 81.98%

2 3 to &lt;5 KMs 62 3.12%

3 5 to &lt;8 KMs 7 0.35%

4 8 or more KMs 5 0.25%

NA 284 14.29%

# HC14: What type of toilet facility does this household mainly use?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=4.64670357322597 /-] [StDev=7.01781598093009 /-]

Literal Question What type of toilet facility does this household mainly use?

Value Label Cases Percentage

1 Flush Toilet 95 4.78%

2 VIP Latrine 162 8.15%

3 Covered Pit Latrine with a slab 453 22.79%

4 Covered Pit Latrine without a slab 673 33.87%

5 Uncovered Pit Latrine with a slab 106 5.33%

6 Uncovered Pit Latrine without a slab 358 18.01%

7 Ecosan (compost toilet) 3 0.15%

8 No facility/bush/ polythene bags/ bucket/ etc 126 6.34%

96 Other (specify) 11 0.55%

# HC14b: Other-What type of toilet facility does this household mainly use?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What type of toilet facility does this household mainly use? - Other (specify)

Value Label Cases Percentage

1976 99.44%

Don't have a toilet and they share with the neighbours

1 0.05%

Has no toilet

3 0.15%

just a hole, no shelter

1 0.05%

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Value Label Cases Percentage

neighbor facility

1 0.05%

Still under construction

1 0.05%

Tarpaulin toilet

1 0.05%

Toilet has hole but is open no roof no fence no walls

1 0.05%

toilet is constructed with sticks on floor, tarpauline on the roof and mud for the walls

1 0.05%

uses toilet for the neighbour

1 0.05%

# HC15: Does the household share this toilet facility with other households?

Information [Type= discrete] [Format= numeric] [Range= 1-97] [Missing=*]

Statistics [NW/ W] [Valid=1861 /-] [Invalid=126 /-] [Mean=2.01612036539495 /-] [StDev=6.26174236243087 /-]

Literal Question Does the household share this toilet facility with other households?

Post-Question Text - No (>> HC17)- N/A (For “No facility/bush/polythene bags/bucket/ etc). (>> HC18)

Value Label Cases Percentage

1 Yes 730 36.73%

2 No 1123 56.51%

97 N/A 8 0.4%

NA 126 6.34%

# HC16: With how many other households does this household share this toilet?

Information [Type= discrete] [Format= numeric] [Range= 0-30] [Missing=*]

Statistics [NW/ W] [Valid=730 /-] [Invalid=1257 /-] [Mean=4.12465753424657 /-] [StDev=4.80192807703759 /-]

Literal Question With how many other households does this household share this toilet?

Value Label Cases Percentage

3 0.15%

1 190 9.56%

2 182 9.15%

3 105 5.28%

4 58 2.91%

5 37 1.86%

6 41 2.06%

7 9 0.45%

8 20 1%

9 8 0.4%

10 30 1.5%

11 1 0.05%

12 12 0.6%

13 3 0.15%

14 1 0.05%

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Value Label Cases Percentage

15 5 0.25%

16 2 0.1%

18 1 0.05%

20 7 0.35%

24 1 0.05%

25 6 0.3%

27 1 0.05%

30 7 0.35%

NA 1257 63.26%

# HC17: Does this household have a hand washing facility next to the toilet?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=1853 /-] [Invalid=134 /-] [Mean=3.25688073394495 /-] [StDev=1.21805282477078 /-]

Literal Question Does this household have a hand washing facility next to the toilet?

Value Label Cases Percentage

1 Yes with water only 349 17.56%

2 Yes with water and soap 150 7.54%

3 Yes with no water 30 1.5%

4 No 1324 66.63%

NA 134 6.74%

# HC18: What source of energy does this household mainly use for lighting?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=1 /-] [Mean=13.9677744209466 /-] [StDev=26.7791785123243 /-]

Literal Question What source of energy does this household mainly use for lighting?

Value Label Cases Percentage

1 Electricity-National grid 350 17.61%

2 Electricity- Solar 717 36.08%

4 Electricity – Community/ thermal plant 1 0.05%

7 Paraffin lantern 55 2.76%

8 Paraffin Tadooba 153 7.7%

9 Candles 25 1.25%

10 Firewood 55 2.76%

12 Grass (reeds) 60 3.01%

13 Dry Cells 384 19.32%

96 Other (specify) 186 9.36%

NA 1 0.05%

# HC18b: Other-What source of energy does this household mainly use for lighting?

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What source of energy does this household mainly use for lighting? - Other (specify)

# HC19c: What is the MAIN reason why the household is not connected to the grid?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1636 /-] [Invalid=351 /-] [Mean=1.96454767726161 /-] [StDev=5.82937535091225 /-]

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Value Label Cases Percentage

1 Grid is too far from household/not available 1051 52.89%

2 Cost of initial connection is too expensive 425 21.38%

3 Monthly fee is too expensive 48 2.41%

4 Satisfied with current energy solution 16 0.8%

5 Renting, Landlord decision 20 1%

6 Service Unreliable 62 3.12%

7 Administrative procedure is too complicated 7 0.35%

8 Submitted application and waiting for connection 1 0.05%

96 Other, specify 6 0.3%

NA 351 17.66%

# HC19c_o: Other-What is the MAIN reason why the household is not connected to the grid?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Value Label Cases Percentage

1981 99.69%

DISCONNECTED

1 0.05%

expensive 1 0.05%

Poor leadership

1 0.05%

she cannot afford

1 0.05%

solar panel was stolen by neighbors

1 0.05%

tourch 1 0.05%

# HC19a__1: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.451612903225806 /-] [StDev=0.505879411020674 /-]

Value Label Cases Percentage

17 0.85%

1 14 0.7%

NA 1956 98.43%

# HC19a__2: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.032258064516129 /-] [StDev=0.179605302026775 /-]

Value Label Cases Percentage

30 1.5%

1 1 0.05%

NA 1956 98.43%

# HC19a__3: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-0] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0 /-] [StDev=0 /-]

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Value Label Cases Percentage

31 1.56%

NA 1956 98.43%

# HC19a__4: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.0967741935483871 /-] [StDev=0.300537153518764 /-]

Value Label Cases Percentage

28 1.4%

1 3 0.15%

NA 1956 98.43%

# HC19a__5: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.0967741935483871 /-] [StDev=0.300537153518764 /-]

Value Label Cases Percentage

28 1.4%

1 3 0.15%

NA 1956 98.43%

# HC19a__6: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.129032258064516 /-] [StDev=0.340777100548239 /-]

Value Label Cases Percentage

27 1.35%

1 4 0.2%

NA 1956 98.43%

# HC19a__97: What are other different sources of electricity that you use in your household i

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=31 /-] [Invalid=1956 /-] [Mean=0.225806451612903 /-] [StDev=0.425023718503241 /-]

Value Label Cases Percentage

24 1.2%

1 7 0.35%

NA 1956 98.43%

# HC19b: In the last 7days on average how many hours of electricity were available each d

Information [Type= discrete] [Format= numeric] [Range= 0-168] [Missing=*]

Statistics [NW/ W] [Valid=350 /-] [Invalid=1637 /-] [Mean=20.3228571428571 /-] [StDev=17.3215433994447 /-]

Value Label Cases Percentage

3 0.15%

1 2 0.1%

2 6 0.3%

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Value Label Cases Percentage

3 11 0.55%

4 6 0.3%

5 7 0.35%

6 5 0.25%

7 4 0.2%

8 9 0.45%

9 1 0.05%

10 11 0.55%

12 17 0.85%

13 3 0.15%

14 1 0.05%

15 21 1.05%

16 2 0.1%

17 8 0.4%

18 10 0.5%

19 5 0.25%

20 38 1.91%

21 8 0.4%

22 12 0.6%

23 21 1.05%

24 130 6.54%

42 1 0.05%

45 1 0.05%

49 1 0.05%

84 1 0.05%

120 1 0.05%

140 1 0.05%

150 2 0.1%

168 1 0.05%

NA 1637 82.38%

# HC19: What source of energy does this household mainly use for cooking?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=1 /-] [Mean=11.2719033232628 /-] [StDev=15.1253231904257 /-]

Value Label Cases Percentage

1 Electricity-National grid 24 1.2%

2 Electricity- Solar 7 0.35%

5 Gas 16 0.8%

6 Biogas 1 0.05%

7 Paraffin-Stove 6 0.3%

8 Charcoal 481 24.2%

9 Firewood 1387 69.8%

11 1Grass (reeds) 3 0.15%

96 Other (specify) 61 3.06%

NA 1 0.05%

# HC19_o: Other-What source of energy does this household mainly use for cooking?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

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Value Label Cases Percentage

1926 96.93%

BATTERY CONNECTED TO A BULB

1 0.05%

Being old people they don't cook but receive ready food from the daughter

1 0.05%

currently none he is not cooking

1 0.05%

does not cook

2 0.1%

Does not cook

1 0.05%

DOES NOT COOK

1 0.05%

doesn't cook 4 0.2%

Doesn't cook

1 0.05%

doesn't cook eats from a restaurant

1 0.05%

doesnt cook 1 0.05%

DOESNT COOK

7 0.35%

don't Cook 1 0.05%

Don't cook 1 0.05%

DONT COOK

1 0.05%

He doesn't cook

2 0.1%

He doesn't cook at all

1 0.05%

He doesn't cook at all.

1 0.05%

hhd doesn't cook

1 0.05%

household does not cook

1 0.05%

maize stalk 1 0.05%

maize stalk 1 0.05%

N/A 1 0.05%

No cooking arrangements

4 0.2%

No cooking arrangements at home

6 0.3%

No cooking arrangements at home because he gets everything which is already prepared

1 0.05%

none 2 0.1%

None 1 0.05%

NOT COOKING

1 0.05%

not applicable

5 0.25%

Not applicable

1 0.05%

Not cooking 3 0.15%

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Value Label Cases Percentage

NOT COOKING

1 0.05%

she doesn't cook since December

1 0.05%

They don't cook as they are very old instead they are provided by the sons

1 0.05%

They don't cook at home

1 0.05%

# HC20: If firewood What is the source?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=1386 /-] [Invalid=601 /-] [Mean=1.43506493506494 /-] [StDev=5.11165270624699 /-]

Pre-Question Text IF FIREWOOD

Literal Question What is the source?

Post-Question Text Market (>> HC25)

Value Label Cases Percentage

1 Bush/Forest 1223 61.55%

2 Market 95 4.78%

3 Own plantation 64 3.22%

96 Other 4 0.2%

NA 601 30.24%

# HC20b: Other-If firewood What is the source?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Pre-Question Text IF FIREWOOD

Literal Question What is the source? - Other (specify)

Value Label Cases Percentage

1983 99.79%

buying from market

1 0.05%

Buying from other people but not from the market

1 0.05%

Husbands plantation

1 0.05%

sellers move with firewood in the camp

1 0.05%

# HC22: Distance to the source of firewood?

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=1387 /-] [Invalid=600 /-] [Mean=1.23720259552992 /-] [StDev=0.541869157003941 /-]

Pre-Question Text IF FIREWOOD

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Literal Question Distance to the source?

Value Label Cases Percentage

1 0 to &lt;3 KMs 1123 56.51%

2 3 to &lt;5 KMs 212 10.66%

3 5 to &lt;8 KMs 39 1.96%

4 8 or more KMs 13 0.65%

NA 600 30.19%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=110.227478610971 /-] [StDev=64.8730776459443 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=0 /-] [Mean=5.50427780573729 /-] [StDev=2.864224729738 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 197 9.91%

2 194 9.76%

3 195 9.81%

4 208 10.46%

5 204 10.26%

6 200 10.06%

7 196 9.86%

8 193 9.71%

9 201 10.11%

10 199 10.01%

File hsec10

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# ha01: Type of assets

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=15.3461538461538 /-] [StDev=9.1271494594843 /-]

Literal Question Type of assets

Value Label Cases Percentage

1 Owner occupied House 1999 3.84%

2 Other Buildings 1999 3.84%

4 Furniture/Furnishings 1999 3.84%

5 Household Appliances e.g. Kettle, Flat iron, etc 1999 3.84%

6 Cooker 1999 3.84%

7 Refrigerator 1999 3.84%

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Value Label Cases Percentage

8 Television 1999 3.84%

9 Radio 1999 3.84%

10 Cassette/DVD/CD 1999 3.84%

11 Mobile phone 1999 3.84%

12 Fixed phone 1999 3.84%

13 Computer/Laptop 1999 3.84%

14 Generators 1999 3.84%

15 Solar panel/electric inverters 1999 3.84%

16 Motor vehicle 1999 3.84%

17 Motor cycle 1999 3.84%

18 Bicycle 1999 3.84%

19 Wheel chair 1999 3.84%

20 Boat/Canoe 1999 3.84%

21 Other Transport equipment 1999 3.84%

22 Jewelry and Watches 1999 3.84%

23 Other household assets e.g. lawn mowers, etc 1999 3.84%

30 Land (excluding agricultural land) 1999 3.84%

31 Agricultural land 1999 3.84%

32 home theatre 1999 3.84%

33 Livestock eg Cattle, Goats, Sheep, donkeys etc 1999 3.84%

# ha03: Does any member of your household own [ASSET] at present?

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=51632 /-] [Invalid=342 /-] [Mean=2.82615432290053 /-] [StDev=0.684646548241473 /-]

Literal Question Does any member of your household own [ASSET] at present?

Post-Question Text No (>> HA07)

Value Label Cases Percentage

1 Yes,individually 5765 11.09%

3 No 43387 83.47%

4 Yes,jointly with hh member 2406 4.62%

5 Yes, jointly with non-hh member 74 0.14%

NA 342 0.65%

# ha04a: Person IDs of the owner(s)

Information [Type= discrete] [Format= numeric] [Range= 1-12] [Missing=*]

Statistics [NW/ W] [Valid=8245 /-] [Invalid=43729 /-] [Mean=1.11910248635537 /-] [StDev=0.577459652669192 /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

1 7661 14.74%

2 420 0.8%

3 71 0.13%

4 32 0.06%

5 21 0.04%

6 24 0.04%

7 7 0.01%

8 1 0%

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Value Label Cases Percentage

9 3 0%

10 4 0%

12 1 0%

NA 43729 84.13%

# ha04b: Person IDs of the owner(s)

Information [Type= discrete] [Format= numeric] [Range= 2-13] [Missing=*]

Statistics [NW/ W] [Valid=2818 /-] [Invalid=49156 /-] [Mean=2.17743080198722 /-] [StDev=0.796086585279813 /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

2 2600 5%

3 108 0.2%

4 36 0.06%

5 30 0.05%

6 26 0.05%

7 3 0%

8 6 0.01%

9 3 0%

10 4 0%

13 2 0%

NA 49156 94.57%

# HA04__2: Person IDs of the owner(s)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

51604 99.28%

11 4 0%

12 1 0%

13 1 0%

18 2 0%

3 246 0.47%

4 42 0.08%

5 23 0.04%

6 17 0.03%

7 16 0.03%

8 14 0.02%

9 4 0%

# HA04__3: Person IDs of the owner(s)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES, record the Person IDs of the owner(s)

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Value Label Cases Percentage

51974 100%

# ha05: How many [ASSET] do(es) your household own at present?

Information [Type= discrete] [Format= numeric] [Range= 0-1500000] [Missing=*]

Statistics [NW/ W] [Valid=4931 /-] [Invalid=47043 /-] [Mean=806.678361387143 /-] [StDev=23952.5912046402 /-]

Literal Question How many [ASSET] do(es) your household own at present?- Number

Value Label Cases Percentage

10 0.01%

1 3733 7.18%

2 756 1.45%

3 260 0.5%

4 89 0.17%

5 39 0.07%

6 11 0.02%

7 5 0%

8 3 0%

10 1 0%

20 1 0%

15000 1 0%

16000 1 0%

20000 2 0%

25000 1 0%

30000 1 0%

35000 1 0%

45000 2 0%

50000 1 0%

60000 2 0%

70000 1 0%

110000 1 0%

120000 1 0%

150000 3 0%

250000 2 0%

300000 1 0%

500000 1 0%

1500000 1 0%

NA 47043 90.51%

# ha06: What is the Total estimated value of the assets owned at present

Information [Type= contin] [Format= numeric] [Range= 0-2000000000] [Missing=*]

Statistics [NW/ W] [Valid=8245 /-] [Invalid=43729 /-] [Mean=3899206.25130382 /-] [StDev=34551641.5350274 /-]

Literal Question How many [ASSET] do(es) your household own at present?- Total estimated value

# ha07: Did any member of your household own [ASSET] 12 months ago?

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=51632 /-] [Invalid=342 /-] [Mean=2.85309497985745 /-] [StDev=0.627572475795943 /-]

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Literal Question Did any member of your household own [ASSET] 12 months ago?

Post-Question Text No (>> Next Asset)

Value Label Cases Percentage

1 Yes,individually 4817 9.26%

3 No 44832 86.25%

4 Yes,jointly with hh member 1917 3.68%

5 Yes,Jointly with non-hh member 66 0.12%

NA 342 0.65%

# ha08a: Person IDs of the owner(s)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

45174 86.91%

1 6329 12.17%

10 3 0%

12 1 0%

2 335 0.64%

3 51 0.09%

4 32 0.06%

5 26 0.05%

6 15 0.02%

7 3 0%

8 2 0%

9 3 0%

# ha08b: Person IDs of the owner(s)

Information [Type= discrete] [Format= numeric] [Range= 2-13] [Missing=*]

Statistics [NW/ W] [Valid=2242 /-] [Invalid=49732 /-] [Mean=2.2042818911686 /-] [StDev=0.849820542739213 /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

2 2043 3.93%

3 93 0.17%

4 46 0.08%

5 21 0.04%

6 16 0.03%

7 11 0.02%

8 4 0%

9 1 0%

10 5 0%

11 1 0%

13 1 0%

NA 49732 95.68%

# HA08__2: Person IDs of the owner(s)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

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Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

51974 100%

# HA08__3: Person IDs of the owner(s)

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question IF YES, record the Person IDs of the owner(s)

Value Label Cases Percentage

51974 100%

# ha09: How many [ASSET] did your household own 12 months ago?

Information [Type= discrete] [Format= numeric] [Range= 0-4000000] [Missing=*]

Statistics [NW/ W] [Valid=3982 /-] [Invalid=47992 /-] [Mean=4546.01983927675 /-] [StDev=104393.543916235 /-]

Literal Question How many [ASSET] did your household own 12 months ago?- Number

Value Label Cases Percentage

10 0.01%

1 3057 5.88%

2 626 1.2%

3 171 0.32%

4 60 0.11%

5 20 0.03%

6 5 0%

8 1 0%

9 1 0%

10 1 0%

12 1 0%

20 1 0%

2000 1 0%

15000 1 0%

20000 1 0%

25000 1 0%

30000 1 0%

40000 1 0%

50000 2 0%

60000 2 0%

70000 1 0%

75000 1 0%

80000 2 0%

110000 1 0%

150000 2 0%

200000 1 0%

250000 1 0%

280000 1 0%

500000 1 0%

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Value Label Cases Percentage

1000000 1 0%

1300000 1 0%

1500000 1 0%

2000000 1 0%

3000000 2 0%

4000000 1 0%

NA 47992 92.33%

# ha10: What is the Total estimated value of the assets owned 12 months ago

Information [Type= contin] [Format= numeric] [Range= 0-1400000000] [Missing=*]

Statistics [NW/ W] [Valid=6800 /-] [Invalid=45174 /-] [Mean=4081527.33661765 /-] [StDev=33234601.2341023 /-]

Literal Question How many [ASSET] did your household own 12 months ago?- Total estimated value

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=110.590295147574 /-] [StDev=64.9665392170572 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=51974 /-] [Invalid=0 /-] [Mean=5.51475737868934 /-] [StDev=2.86389874398981 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 5148 9.9%

2 5044 9.7%

3 5070 9.75%

4 5408 10.4%

5 5330 10.25%

6 5226 10.05%

7 5148 9.9%

8 5122 9.85%

9 5252 10.1%

10 5226 10.05%

File hsec11

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=47976 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# Income_source__id: Item Description

Information [Type= discrete] [Format= numeric] [Range= 12-72] [Missing=*]

Statistics [NW/ W] [Valid=47976 /-] [Invalid=0 /-] [Mean=32.875 /-] [StDev=18.8887129888236 /-]

Literal Question Item Description

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File hsec11

Value Label Cases Percentage

12 Net actual rents received from building/household property

1999 4.16%

13 Net rent received from land/equipment 1999 4.16%

14 Royalties 1999 4.16%

15 Interest received 1999 4.16%

16 Dividends 1999 4.16%

17 Income from treasury bills 1999 4.16%

21 Pension 1999 4.16%

22 Life Insurance 1999 4.16%

23 Other Insurance 1999 4.16%

24 Family allowances and other social security benefits 1999 4.16%

25 Remittances 1999 4.16%

26 Other income {inheritance, alimony, scholarships and other unspecified income etc.}

1999 4.16%

27 Refund on Education 1999 4.16%

28 Refund on Medical 1999 4.16%

29 Assistance received from others eg UNHCR, WFP etc 1999 4.16%

31 Income from sale of secondhand (used) vehicles 1999 4.16%

32 Income from sale of secondhand (used) clothing 1999 4.16%

33 Income from sale of other goods 1999 4.16%

52 Non-Household based Enterprises 1999 4.16%

61 Crop farming 1999 4.16%

62 Livestock 1999 4.16%

63 Other (specify) 1999 4.16%

71 Income from Gambling 1999 4.16%

72 Income from salaries and wages 1999 4.16%

# P15: Did you receive any income from [SOURCE]?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=47653 /-] [Invalid=323 /-] [Mean=1.92904958764401 /-] [StDev=0.256744687638806 /-]

Literal Question Did you receive any income from [SOURCE]?

Post-Question Text No>>Next source

Value Label Cases Percentage

1 Yes 3381 7.04%

2 No 44272 92.27%

NA 323 0.67%

# P13: Income amount from Item in CASH

Information [Type= contin] [Format= numeric] [Range= 0-252000000] [Missing=*]

Statistics [NW/ W] [Valid=3380 /-] [Invalid=44596 /-] [Mean=1514371.30177515 /-] [StDev=6044302.84907038 /-]

Literal Question Cash

# P14: Income amount from in KIND

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=47976 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question In-Kind (Value)

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File hsec11

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=47976 /-] [Invalid=0 /-] [Mean=110.590295147574 /-] [StDev=64.966591300685 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=47976 /-] [Invalid=0 /-] [Mean=5.51475737868934 /-] [StDev=2.86390103997537 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 4752 9.9%

2 4656 9.7%

3 4680 9.75%

4 4992 10.4%

5 4920 10.25%

6 4824 10.05%

7 4752 9.9%

8 4728 9.85%

9 4848 10.1%

10 4824 10.05%

File hsec13a

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=2000 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# NA1a: Does any member of your household own a non-agricultural business or provided a

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=13 /-] [Mean=1.92098641167589 /-] [StDev=0.269827876426502 /-]

Literal Question Does any member of your household own a nonagricultural business or provided a non-agricultural service from home or a household-owned shop, as a carwash owner, metal worker, mechanic, carpenter, tailor, barber, etc.?

Value Label Cases Percentage

1 Yes 157 7.85%

2 No 1830 91.5%

NA 13 0.65%

# NA1b: Household processes &amp; sell agric by-products, including flour, starch,juice,

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=13 /-] [Mean=1.98037242073478 /-] [StDev=0.138751671662188 /-]

Literal Question Does any member of your household process and sell any agricultural by-products, including flour, starch, juice, beer, jam, oil, seed, bran, etc., but excluding livestock byproducts, fresh/processed fish?

Value Label Cases Percentage

1 Yes 39 1.95%

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Value Label Cases Percentage

2 No 1948 97.39%

NA 13 0.65%

# NA1c: Any member of your household own a trading business on a street or in a markjet

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=14 /-] [Mean=1.94461228600201 /-] [StDev=0.228793078514037 /-]

Literal Question Does any member of your household own a trading business on a street or in a market?

Value Label Cases Percentage

1 Yes 110 5.5%

2 No 1876 93.8%

NA 14 0.7%

# NA1d: offer any service or sold anything on a street or in a market, including firewoo

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=13 /-] [Mean=1.96678409662808 /-] [StDev=0.17924501841084 /-]

Literal Question Does any member of your household offer any service or sold anything on a street or in a market, including firewood, home-made charcoal, curios, construction timber, wood poles, traditional medicine, mats, bricks, cane furniture, weave baskets, thatch grass, etc.?

Value Label Cases Percentage

1 Yes 66 3.3%

2 No 1921 96.05%

NA 13 0.65%

# NA1e: Any member of your household own a professional office or offered professional s

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=14 /-] [Mean=1.99093655589124 /-] [StDev=0.0947935792818752 /-]

Literal Question Does any member of your household own a professional office or offered professional services from home as a doctor, accountant, lawyer, translator, private tutor, midwife, mason, etc?

Value Label Cases Percentage

1 Yes 18 0.89%

2 No 1968 98.4%

NA 14 0.7%

# NA1f: Does any member of your household drive a household-owned taxi or pick-up truck

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1986 /-] [Invalid=14 /-] [Mean=1.98640483383686 /-] [StDev=0.115832177989238 /-]

Literal Question Does any member of your household drive a householdowned taxi or pick-up truck to provide transportation or moving services?

Value Label Cases Percentage

1 Yes 27 1.35%

2 No 1959 97.95%

NA 14 0.7%

# NA1g: Does any member of your household own a bar or restaurant?

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File hsec13a

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=13 /-] [Mean=1.98741821841973 /-] [StDev=0.111488725355601 /-]

Literal Question Does any member of your household own a bar or restaurant?

Value Label Cases Percentage

1 Yes 25 1.25%

2 No 1962 98.1%

NA 13 0.65%

# NA1h: Does any member of your household own any other non-agricultural business, even

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=1987 /-] [Invalid=13 /-] [Mean=1.88726723704077 /-] [StDev=0.316345462604633 /-]

Literal Question Does any member of your household own any other non-agricultural business, even if it is a small business run from home or on a street?

Value Label Cases Percentage

1 Yes 224 11.2%

2 No 1763 88.14%

NA 13 0.65%

File hsec13b

# HH_Enterprize__id: HH_Enterprize__id

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=1.09823182711198 /-] [StDev=0.341050971334246 /-]

Value Label Cases Percentage

1 465 91.35%

2 39 7.66%

3 4 0.78%

4 1 0.19%

# N00: Enterprise ID

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Enterprise ID

# N01: Please describe the enterprise in more detail

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Description of enterprise

# N02_oneDigit: One-digit ISIC code

Information [Type= discrete] [Format= numeric] [Range= 11111-201111] [Missing=*]

Statistics [NW/ W] [Valid=508 /-] [Invalid=1 /-] [Mean=74595.2519685039 /-] [StDev=46250.6010199394 /-]

Literal Question Industry code

Interviewer Instructions See codes in Annex 10 of manual

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File hsec13b

Value Label Cases Percentage

11111 Agriculture, forestry and fishing 23 4.51%

21111 Mining and quarrying 7 1.37%

31111 Manufacturing 108 21.21%

61111 Construction 10 1.96%

71111 Wholesale and retail trade; repair of motor vehicles and motorcycles

239 46.95%

81111 Transportation and storage 23 4.51%

91111 Accommodation and food service activities 32 6.28%

101111 Information and communication 3 0.58%

111111 Financial and insurance activitie 2 0.39%

121111 Real estate activities 2 0.39%

131111 Professional, scientific and technical activities 2 0.39%

161111 Education 2 0.39%

171111 Human health and social work activities 7 1.37%

181111 Arts, entertainment and recreation 5 0.98%

191111 Other service activities 36 7.07%

201111 Activities of households as employers; undifferentiated goods- and services-producing activities of households for own use

7 1.37%

NA 1 0.19%

# N02_twoDigit: Two-digit ISIC code

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=508 /-] [Invalid=1 /-] [Mean=43.8602362204724 /-] [StDev=24.2381786299455 /-]

Literal Question Industry code

Interviewer Instructions See codes in Annex 10 of manual

Value Label Cases Percentage

1 Crop and animal production, hunting and related service activities

12 2.35%

2 Forestry and logging 3 0.58%

3 Fishing and aquaculture 8 1.57%

8 Other mining and quarrying 7 1.37%

10 Manufacture of food products 14 2.75%

11 Manufacture of beverages 40 7.85%

13 Manufacture of textiles 10 1.96%

14 Manufacture of wearing apparel 6 1.17%

16 Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

16 3.14%

23 Manufacture of other non-metallic mineral products 6 1.17%

31 Manufacture of furniture 4 0.78%

32 Other manufacturing 10 1.96%

33 Repair and installation of machinery and equipment 2 0.39%

41 Construction of buildings 7 1.37%

43 Specialized construction activities 3 0.58%

45 Wholesale and retail trade and repair of motor vehicles and motorcycles

13 2.55%

46 Wholesale trade, except of motor vehicles and motorcycles

13 2.55%

47 Retail trade, except of motor vehicles and motorcycles 213 41.84%

49 Land transport and transport via pipelines 23 4.51%

55 Accommodation 2 0.39%

56 Food and beverage service activities 30 5.89%

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Value Label Cases Percentage

61 Telecommunications 1 0.19%

62 Computer programming, consultancy and related activities

2 0.39%

64 Financial service activities, except insurance and pension funding

2 0.39%

68 Real estate activities 2 0.39%

74 Other professional, scientific and technical activities 1 0.19%

75 Veterinary activities 1 0.19%

85 Education 2 0.39%

86 Human health activities 7 1.37%

90 Creative, arts and entertainment activities 5 0.98%

95 Repair of computers and personal and household goods 3 0.58%

96 Other personal service activities 33 6.48%

97 Activities of households as employers of domestic personnel

1 0.19%

98 Undifferentiated goods- and services-producing activities of private households for own use

6 1.17%

NA 1 0.19%

# N02_threeDigit: Three-digit ISIC code

Information [Type= discrete] [Format= numeric] [Range= 106-620222] [Missing=*]

Statistics [NW/ W] [Valid=508 /-] [Invalid=1 /-] [Mean=12341.9940944882 /-] [StDev=52428.3591571885 /-]

Literal Question Industry code

Interviewer Instructions See codes in Annex 10 of manual

Value Label Cases Percentage

106 Manufacture of grain mill products, starches and starch products

3 0.58%

107 Manufacture of other food products 11 2.16%

110 Manufacture of beverages 40 7.85%

131 Spinning, weaving and finishing of textiles 6 1.17%

139 Manufacture of other textiles 4 0.78%

239 Manufacture of non-metallic mineral products n.e.c. 6 1.17%

310 Manufacture of furniture 4 0.78%

329 Other manufacturing n.e.c. 9 1.76%

331 Repair of fabricated metal products, machinery and equipment

2 0.39%

410 Construction of buildings 7 1.37%

433 Building completion and finishing 1 0.19%

439 Other specialized construction activities 2 0.39%

452 Maintenance and repair of motor vehicles 4 0.78%

454 Sale, maintenance and repair of motorcycles and related parts and accessories

9 1.76%

462 Wholesale of agricultural raw materials and live animals

1 0.19%

463 Wholesale of food, beverages and tobacco 4 0.78%

464 Wholesale of household goods 3 0.58%

466 Other specialized wholesale 2 0.39%

469 Non-specialized wholesale trade 3 0.58%

471 Retail sale in non-specialized stores 57 11.19%

472 Retail sale of food, beverages and tobacco in specialized stores

41 8.05%

473 Retail sale of automotive fuel in specialized stores 1 0.19%

475 Retail sale of other household equipment in specialized stores

2 0.39%

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File hsec13b

Value Label Cases Percentage

476 Retail sale of cultural and recreation goods in specialized stores

1 0.19%

477 Retail sale of other goods in specialized stores 17 3.33%

478 Retail sale via stalls and markets 56 11%

479 Retail trade not in stores, stalls or markets 38 7.46%

492 Other land transport 23 4.51%

559 Other accommodation 2 0.39%

561 Restaurants and mobile food service activities 23 4.51%

562 Event catering and other food service activities 2 0.39%

563 Beverage serving activities 5 0.98%

612 Wireless telecommunications activities 1 0.19%

649 Other financial service activities, except insurance and pension funding activities

2 0.39%

681 Real estate activities with own or leased property 2 0.39%

741 Specialized design activities 1 0.19%

750 Veterinary activities 1 0.19%

851 Pre-primary and primary education 2 0.39%

861 Hospital activities 2 0.39%

862 Medical and dental practice activities 1 0.19%

869 Other human health activities 4 0.78%

900 Creative, arts and entertainment activities 5 0.98%

951 Repair of computers and communication equipment 1 0.19%

952 Repair of personal and household goods 2 0.39%

960 Other personal service activities 33 6.48%

970 Activities of households as employers of domestic personnel

1 0.19%

981 Undifferentiated goods-producing activities of private households for own use

6 1.17%

11222 Growing of non-perennial crops 5 0.98%

14222 Animal production 4 0.78%

16222 Support activities to agriculture and post-harvest crop activities

3 0.58%

22222 Logging 3 0.58%

31222 Fishing 8 1.57%

81222 Quarrying of stone, sand and clay 7 1.37%

141222 Manufacture of wearing apparel, except fur apparel 5 0.98%

143222 Manufacture of knitted and crocheted apparel 1 0.19%

161222 Sawmilling and planing of wood 2 0.39%

162222 Manufacture of products of wood, cork, straw and plaiting materials

14 2.75%

321222 Manufacture of jewellery, bijouterie and related articles 1 0.19%

620222 Computer programming, consultancy and related activities

2 0.39%

NA 1 0.19%

# N02_fourDigit: Four-digit ISIC code

Information [Type= discrete] [Format= numeric] [Range= 111-9810] [Missing=*]

Statistics [NW/ W] [Valid=508 /-] [Invalid=1 /-] [Mean=4423.65354330709 /-] [StDev=2422.19872283563 /-]

Literal Question Industry code

Interviewer Instructions See codes in Annex 10 of manual

Value Label Cases Percentage

111 Growing of cereals (except rice), leguminous crops and oil seeds

4 0.78%

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File hsec13b

Value Label Cases Percentage

115 Growing of tobacco 1 0.19%

141 Raising of cattle and buffaloes 1 0.19%

145 Raising of swine/pigs 1 0.19%

146 Raising of poultry 2 0.39%

161 Support activities for crop production 2 0.39%

162 Support activities for animal production 1 0.19%

220 Logging 3 0.58%

312 Freshwater fishing 8 1.57%

810 Quarrying of stone, sand and clay 7 1.37%

1061 Manufacture of grain mill products 2 0.39%

1062 Manufacture of starches and starch products 1 0.19%

1071 Manufacture of bakery products 6 1.17%

1075 Manufacture of prepared meals and dishes 2 0.39%

1079 Manufacture of other food products n.e.c. 3 0.58%

1101 Distilling, rectifying and blending of spirits 34 6.67%

1103 Manufacture of malt liquors and malt 6 1.17%

1312 Weaving of textiles 3 0.58%

1313 Finishing of textiles 3 0.58%

1392 Manufacture of made-up textile articles, except apparel 3 0.58%

1399 Manufacture of other textiles n.e.c. 1 0.19%

1410 Manufacture of wearing apparel, except fur apparel 5 0.98%

1430 Manufacture of knitted and crocheted apparel 1 0.19%

1610 Sawmilling and planing of wood 2 0.39%

1621 Manufacture of veneer sheets and wood-based panels 1 0.19%

1622 Manufacture of buildersÿý carpentry and joinery 1 0.19%

1629 Manufacture of other products of wood; manufacture of articles of cork, straw and plaiting materials

12 2.35%

2392 Manufacture of clay building materials 6 1.17%

3100 Manufacture of furniture 4 0.78%

3212 Manufacture of imitation jewellery and related articles 1 0.19%

3290 Other manufacturing n.e.c. 9 1.76%

3315 Repair of transport equipment, except motor vehicles 2 0.39%

4100 Construction of buildings 7 1.37%

4330 Building completion and finishing 1 0.19%

4390 Other specialized construction activities 2 0.39%

4520 Maintenance and repair of motor vehicles 4 0.78%

4540 Sale, maintenance and repair of motorcycles and related parts and accessories

9 1.76%

4620 Wholesale of agricultural raw materials and live animals

1 0.19%

4630 Wholesale of food, beverages and tobacco 4 0.78%

4649 Wholesale of other household goods 3 0.58%

4663 Wholesale of construction materials, hardware, plumbing and heating equipment and supplies

1 0.19%

4669 Wholesale of waste and scrap and other products n.e.c. 1 0.19%

4690 Non-specialized wholesale trade 3 0.58%

4711 Retail sale in non-specialized stores with food, beverages or tobacco predominating

31 6.09%

4719 Other retail sale in non-specialized stores 26 5.1%

4721 Retail sale of food in specialized stores 26 5.1%

4722 Retail sale of beverages in specialized stores 15 2.94%

4730 Retail sale of automotive fuel in specialized stores 1 0.19%

4752 Retail sale of hardware, paints and glass in specialized stores

1 0.19%

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File hsec13b

Value Label Cases Percentage

4759 Retail sale of electrical household appliances, furniture, lighting equipment and other household articles in specialized stores

1 0.19%

4761 Retail sale of books, newspapers and stationary in specialized stores

1 0.19%

4771 Retail sale of clothing, footwear and leather articles in specialized stores

5 0.98%

4772 Retail sale of pharmaceutical and medical goods, cosmetic and toilet articles in specialized stores

1 0.19%

4773 Other retail sale of new goods in specialized stores 7 1.37%

4774 Retail sale of second-hand goods 4 0.78%

4781 Retail sale via stalls and markets of food, beverages and tobacco products

29 5.69%

4782 Retail sale via stalls and markets of textiles, clothing and footwear

6 1.17%

4789 Retail sale via stalls and markets of other goods 21 4.12%

4791 Retail sale via mail order houses or via Internet 1 0.19%

4799 Other retail sale not in stores, stalls or markets 37 7.26%

4921 Urban and suburban passenger land transport 10 1.96%

4922 Other passenger land transport 13 2.55%

5590 Other accommodation 2 0.39%

5610 Restaurants and mobile food service activities 23 4.51%

5629 Other food service activities 2 0.39%

5630 Beverage serving activities 5 0.98%

6120 Wireless telecommunications activities 1 0.19%

6201 Computer programming activities 2 0.39%

6499 Other financial service activities, except insurance and pension funding activities, n.e.c.

2 0.39%

6810 Real estate activities with own or leased property 2 0.39%

7410 Specialized design activities 1 0.19%

7500 Veterinary activities 1 0.19%

8510 Pre-primary and primary education 2 0.39%

8610 Hospital activities 2 0.39%

8620 Medical and dental practice activities 1 0.19%

8690 Other human health activities 4 0.78%

9000 Creative, arts and entertainment activities 5 0.98%

9511 Repair of computers and peripheral equipment 1 0.19%

9523 Repair of footwear and leather goods 1 0.19%

9529 Repair of other personal and household goods 1 0.19%

9601 Washing and (dry-) cleaning of textile and fur products 2 0.39%

9602 Hairdressing and other beauty treatment 9 1.76%

9609 Other personal service activities n.e.c. 22 4.32%

9700 Activities of households as employers of domestic personnel

1 0.19%

9810 Undifferentiated goods-producing activities of private households for own use

6 1.17%

NA 1 0.19%

# N02_superConfirm: SUPERVISOR: DO YOU AGREE WITH THE INTERVIEWER'S ISIC CODE? IF NO, REJECT THE INT

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=205 /-] [Invalid=304 /-] [Mean=1.00975609756098 /-] [StDev=0.0985305716685119 /-]

Value Label Cases Percentage

1 Yes 203 39.88%

2 No 2 0.39%

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File hsec13b

Value Label Cases Percentage

NA 304 59.72%

# N03: ID code/name of person responsible

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Value Label Cases Percentage

1 342 67.19%

2 136 26.71%

3 18 3.53%

4 6 1.17%

5 3 0.58%

6 4 0.78%

# N04: Year started

Information [Type= discrete] [Format= numeric] [Range= 1976-2018] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=2013.54027504912 /-] [StDev=5.2568710869667 /-]

Literal Question Year started

Value Label Cases Percentage

1976 1 0.19%

1980 1 0.19%

1990 3 0.58%

1995 2 0.39%

1997 1 0.19%

1998 3 0.58%

1999 1 0.19%

2000 14 2.75%

2002 1 0.19%

2003 4 0.78%

2004 2 0.39%

2005 9 1.76%

2006 1 0.19%

2007 4 0.78%

2008 12 2.35%

2009 8 1.57%

2010 32 6.28%

2011 10 1.96%

2012 14 2.75%

2013 15 2.94%

2014 46 9.03%

2015 72 14.14%

2016 153 30.05%

2017 48 9.43%

2018 52 10.21%

# N15: Where is this [BUSINESS] located?

Information [Type= discrete] [Format= numeric] [Range= 1-98] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=4.27504911591356 /-] [StDev=4.82926877050958 /-]

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File hsec13b

Literal Question Where is this [BUSINESS] located?

Value Label Cases Percentage

1 Home inside the residence 92 18.07%

2 Home outside the residence 121 23.77%

3 Industrial site 8 1.57%

4 Traditional market 69 13.55%

5 Commercial District shop 31 6.09%

6 Roadside 78 15.32%

7 Other Fixed place 51 10.01%

8 Mobile 58 11.39%

98 Don't know 1 0.19%

# N08__0: Which people in the household work in this enterprise/activity

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which people in the household work in this enterprise/activity?

Interviewer Instructions WRITE ID CODES FROM ROSTER

Value Label Cases Percentage

1 0.19%

1 350 68.76%

2 127 24.95%

3 17 3.33%

4 8 1.57%

5 3 0.58%

6 3 0.58%

# N08__1: Which people in the household work in this enterprise/activity

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which people in the household work in this enterprise/activity?

Interviewer Instructions WRITE ID CODES FROM ROSTER

Value Label Cases Percentage

442 86.83%

2 40 7.85%

3 15 2.94%

4 5 0.98%

5 2 0.39%

6 2 0.39%

8 2 0.39%

9 1 0.19%

# N08__2: Which people in the household work in this enterprise/activity

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which people in the household work in this enterprise/activity?

Interviewer Instructions WRITE ID CODES FROM ROSTER

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Value Label Cases Percentage

492 96.66%

3 9 1.76%

4 3 0.58%

5 2 0.39%

6 1 0.19%

9 2 0.39%

# N08__3: Which people in the household work in this enterprise/activity

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which people in the household work in this enterprise/activity?

Interviewer Instructions WRITE ID CODES FROM ROSTER

Value Label Cases Percentage

497 97.64%

11 1 0.19%

16 1 0.19%

4 6 1.17%

5 2 0.39%

6 1 0.19%

7 1 0.19%

# N08__4: Which people in the household work in this enterprise/activity

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Which people in the household work in this enterprise/activity?

Interviewer Instructions WRITE ID CODES FROM ROSTER

Value Label Cases Percentage

505 99.21%

5 2 0.39%

6 2 0.39%

# N09: In the past 12 months, how many months did the enterprise operate?

Information [Type= discrete] [Format= numeric] [Range= 0-12] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=10.0451866404715 /-] [StDev=3.19816652299369 /-]

Literal Question In the past 12 months, how many months did the [BUSINESS] operate?

Value Label Cases Percentage

2 0.39%

1 6 1.17%

2 14 2.75%

3 15 2.94%

4 16 3.14%

5 12 2.35%

6 30 5.89%

7 10 1.96%

8 18 3.53%

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Value Label Cases Percentage

9 18 3.53%

10 29 5.69%

11 4 0.78%

12 335 65.81%

# N10: What is/was the average monthly gross revenues during the months when the enterp

Information [Type= contin] [Format= numeric] [Range= 0-35000000] [Missing=*]

Statistics [NW/ W] [Valid=508 /-] [Invalid=1 /-] [Mean=546162.419291339 /-] [StDev=1877729.16723506 /-]

Literal Question What is/was the average monthly gross revenues during the months when the [BUSINESS] is/was operating?

# N10_1: N10_1. In the last month, who were the most frequent customers of the %rostertit

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=1.44204322200393 /-] [StDev=0.728416839876983 /-]

Literal Question In the last month, who were the most frequent customers of the [BUSINESS]?

Value Label Cases Percentage

1 Ugandan nationals 335 65.81%

2 Refugees living inside a settlement 144 28.29%

3 Refugees living outside a settlement 9 1.76%

4 Other 21 4.12%

# N10_1b: N10_1b. In the last month, who were the most frequent customers of the %rosterti

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question In the last month, who were the most frequent customers of the [BUSINESS]?

# N11A: Number of PAID people enterprise hires during a month enterprise was operating

Information [Type= discrete] [Format= numeric] [Range= 0-15] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=0.332023575638507 /-] [StDev=1.13713967704605 /-]

Literal Question How many people does [BUSINESS] hire during a month when the enterprise is/was operating?- Paid

Value Label Cases Percentage

425 83.49%

1 49 9.62%

2 20 3.92%

3 6 1.17%

4 1 0.19%

5 5 0.98%

8 1 0.19%

10 1 0.19%

15 1 0.19%

# N11B: Number of UNPAID people enterprise hires during a month enterprise was operatg

Information [Type= discrete] [Format= numeric] [Range= 0-80000] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=157.457760314342 /-] [StDev=3545.92499297307 /-]

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Literal Question How many people does [BUSINESS] hire during a month when the enterprise is/was operating?- Unpaid

Value Label Cases Percentage

412 80.94%

1 68 13.35%

2 14 2.75%

3 8 1.57%

4 4 0.78%

5 2 0.39%

80000 1 0.19%

# N11_c: N11_c For the most part, which country are they from?

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=504 /-] [Invalid=5 /-] [Mean=2.48015873015873 /-] [StDev=2.92918460325794 /-]

Literal Question For the most part, which country are they from?

Value Label Cases Percentage

1 Uganda 316 62.08%

2 South Sudan 86 16.89%

3 DR of Congo 31 6.09%

4 Burundi 2 0.39%

5 Somalia 3 0.58%

6 Rwanda 3 0.58%

9 Kenya 2 0.39%

10 Other (specify) 61 11.98%

NA 5 0.98%

# N12: What is/was the average expenditure on wages during that month?

Information [Type= discrete] [Format= numeric] [Range= 0-10000000] [Missing=*]

Statistics [NW/ W] [Valid=166 /-] [Invalid=343 /-] [Mean=213692.771084337 /-] [StDev=853589.693965664 /-]

Literal Question What is/was the average expenditure of [BUSINESS] on wages during that month?

Value Label Cases Percentage

77 15.12%

3000 1 0.19%

10000 1 0.19%

20000 6 1.17%

30000 4 0.78%

45000 1 0.19%

50000 6 1.17%

60000 3 0.58%

70000 2 0.39%

80000 5 0.98%

90000 1 0.19%

100000 11 2.16%

120000 2 0.39%

150000 4 0.78%

160000 4 0.78%

165000 1 0.19%

200000 9 1.76%

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Value Label Cases Percentage

220000 1 0.19%

240000 1 0.19%

280000 1 0.19%

300000 4 0.78%

350000 2 0.39%

360000 1 0.19%

390000 1 0.19%

400000 2 0.39%

500000 2 0.39%

600000 1 0.19%

700000 1 0.19%

720000 1 0.19%

750000 1 0.19%

760000 1 0.19%

800000 1 0.19%

900000 2 0.39%

1000000 1 0.19%

1500000 1 0.19%

2200000 1 0.19%

3500000 1 0.19%

10000000 1 0.19%

NA 343 67.38%

# N13: What is/was the average expenditure on raw materials during that month?

Information [Type= contin] [Format= numeric] [Range= 0-25000000] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=324668.958742633 /-] [StDev=1667304.73066584 /-]

Literal Question What is/was the average expenditure of [BUSINESS] on raw materials during that month?

# N14: Other operating expenses such as fuel, kerosene, electricity etc during that mon

Information [Type= discrete] [Format= numeric] [Range= 0-1000000] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=46670.7269155206 /-] [StDev=115131.801173263 /-]

Literal Question Other operating expenses such as fuel, kerosene, electricity etc during that month?

Value Label Cases Percentage

210 41.25%

1000 2 0.39%

1500 1 0.19%

2000 8 1.57%

3000 1 0.19%

4000 5 0.98%

5000 22 4.32%

6000 4 0.78%

7400 1 0.19%

8000 2 0.39%

10000 38 7.46%

12000 1 0.19%

13000 1 0.19%

15000 9 1.76%

16000 1 0.19%

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Value Label Cases Percentage

17000 1 0.19%

20000 38 7.46%

24000 2 0.39%

25000 2 0.39%

30000 20 3.92%

35000 5 0.98%

36000 1 0.19%

37500 1 0.19%

40000 7 1.37%

45000 3 0.58%

50000 29 5.69%

60000 10 1.96%

70000 1 0.19%

76000 1 0.19%

80000 9 1.76%

90000 1 0.19%

100000 19 3.73%

120000 2 0.39%

125000 1 0.19%

130000 2 0.39%

150000 7 1.37%

170000 1 0.19%

200000 18 3.53%

250000 1 0.19%

270000 1 0.19%

300000 9 1.76%

340000 1 0.19%

400000 1 0.19%

500000 3 0.58%

600000 2 0.39%

850000 1 0.19%

1000000 3 0.58%

# hh: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Household identifier

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 2-225] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=115.369351669941 /-] [StDev=62.2117377885663 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=509 /-] [Invalid=0 /-] [Mean=5.59332023575639 /-] [StDev=2.96794465083108 /-]

Literal Question SAMPLE NO.

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Value Label Cases Percentage

1 60 11.78%

2 45 8.84%

3 44 8.64%

4 46 9.03%

5 51 10.01%

6 51 10.01%

7 55 10.8%

8 43 8.44%

9 49 9.62%

10 65 12.77%

File hsec15a

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=3965 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=3965 /-] [Invalid=0 /-] [Mean=110.396469104666 /-] [StDev=64.8559934518118 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=3965 /-] [Invalid=0 /-] [Mean=5.50088272383354 /-] [StDev=2.86314338410745 /-]

Literal Question SAMPLE NO.

Value Label Cases Percentage

1 394 9.93%

2 388 9.78%

3 389 9.81%

4 415 10.46%

5 406 10.23%

6 398 10.03%

7 394 9.93%

8 386 9.73%

9 400 10.08%

10 395 9.96%

# HH_numbers__id:

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=3965 /-] [Invalid=0 /-] [Mean=1.49987389659521 /-] [StDev=0.50006304772738 /-]

Value Label Cases Percentage

1 Household members 1983 50.01%

2 Visitors 1982 49.98%

# CEA01A: Number of people present for selected category in the last7 days (Male adults)

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Information [Type= discrete] [Format= numeric] [Range= 0-20] [Missing=*]

Statistics [NW/ W] [Valid=3963 /-] [Invalid=2 /-] [Mean=0.510471864748928 /-] [StDev=0.882311940773288 /-]

Literal Question On average, how many people were present in the last 7 days? In this section children are defined as less than 18 years.- Male adults

Value Label Cases Percentage

2464 62.14%

1 1172 29.55%

2 222 5.59%

3 66 1.66%

4 20 0.5%

5 11 0.27%

6 4 0.1%

8 2 0.05%

14 1 0.02%

20 1 0.02%

NA 2 0.05%

# CEA01B: Number of people present for selected category in the last7 days (Female adults)

Information [Type= discrete] [Format= numeric] [Range= 0-22] [Missing=*]

Statistics [NW/ W] [Valid=3964 /-] [Invalid=1 /-] [Mean=0.636478304742684 /-] [StDev=0.931838666190003 /-]

Literal Question On average, how many people were present in the last 7 days? In this section children are defined as less than 18 years.- Female adults

Value Label Cases Percentage

2096 52.86%

1 1428 36.01%

2 321 8.09%

3 77 1.94%

4 28 0.7%

5 8 0.2%

6 1 0.02%

7 1 0.02%

10 2 0.05%

15 1 0.02%

22 1 0.02%

NA 1 0.02%

# CEA01C: Number of people present for selected category in the last7 days(Male children)

Information [Type= discrete] [Format= numeric] [Range= 0-22] [Missing=*]

Statistics [NW/ W] [Valid=3962 /-] [Invalid=3 /-] [Mean=0.731196365471984 /-] [StDev=1.31050598441017 /-]

Literal Question On average, how many people were present in the last 7 days? In this section children are defined as less than 18 years.- Male children

Value Label Cases Percentage

2602 65.62%

1 551 13.89%

2 401 10.11%

3 230 5.8%

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Value Label Cases Percentage

4 105 2.64%

5 42 1.05%

6 23 0.58%

7 4 0.1%

9 1 0.02%

11 1 0.02%

16 1 0.02%

22 1 0.02%

NA 3 0.07%

# CEA01D: Number of people present for selected category in the last7 day(Female children)

Information [Type= discrete] [Format= numeric] [Range= 0-15] [Missing=*]

Statistics [NW/ W] [Valid=3960 /-] [Invalid=5 /-] [Mean=0.701515151515152 /-] [StDev=1.25536896064587 /-]

Literal Question On average, how many people were present in the last 7 days? In this section children are defined as less than 18 years.- Female children

Value Label Cases Percentage

2635 66.45%

1 541 13.64%

2 400 10.08%

3 231 5.82%

4 83 2.09%

5 39 0.98%

6 20 0.5%

7 7 0.17%

9 1 0.02%

10 1 0.02%

14 1 0.02%

15 1 0.02%

NA 5 0.12%

File hsec15b

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=28225 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# CEB01: Item description

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=28225 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Item Description

# itmcd: Item Code

Information [Type= discrete] [Format= numeric] [Range= 101-1762] [Missing=*]

Statistics [NW/ W] [Valid=28225 /-] [Invalid=0 /-] [Mean=448.331266607617 /-] [StDev=548.11156457939 /-]

Literal Question Code

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Value Label Cases Percentage

101 2 326 1.15%

102 3 96 0.34%

103 4 158 0.55%

105 6 419 1.48%

106 7 8 0.02%

107 8 738 2.61%

109 10 430 1.52%

110 11 532 1.88%

111 12 158 0.55%

112 13 653 2.31%

113 14 1229 4.35%

114 15 292 1.03%

116 16 454 1.6%

117 17 421 1.49%

119 19 117 0.41%

120 20 7 0.02%

124 259 0.91%

125 22 380 1.34%

126 23 24 0.08%

128 24 37 0.13%

129 25 23 0.08%

130 26 121 0.42%

132 27 697 2.46%

133 28 102 0.36%

134 29 11 0.03%

135 30 1448 5.13%

136 31 1325 4.69%

137 439 1.55%

138 32 1212 4.29%

139 33 333 1.17%

140 34 215 0.76%

141 35 1652 5.85%

142 36 64 0.22%

143 37 64 0.22%

144 38 303 1.07%

145 39 31 0.1%

147 40 948 3.35%

148 41 52 0.18%

150 43 1868 6.61%

151 44 276 0.97%

152 45 55 0.19%

153 46 33 0.11%

154 47 12 0.04%

155 48 77 0.27%

156 49 54 0.19%

157 50 240 0.85%

158 51 131 0.46%

159 52 20 0.07%

160 53 11 0.03%

161 54 33 0.11%

162 55 72 0.25%

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Value Label Cases Percentage

163 56 228 0.8%

164 57 195 0.69%

165 58 109 0.38%

166 59 558 1.97%

167 60 149 0.52%

168 61 413 1.46%

169 62 57 0.2%

170 63 86 0.3%

171 64 129 0.45%

172 65 27 0.09%

173 66 285 1%

175 68 200 0.7%

1043 71 3 0.01%

1081 78 12 0.04%

1082 79 498 1.76%

1083 80 91 0.32%

1151 90 159 0.56%

1174 94 5 0.01%

1181 68 0.24%

1211 100 14 0.04%

1212 101 25 0.08%

1213 102 4 0.01%

1214 103 122 0.43%

1221 105 142 0.5%

1222 106 32 0.11%

1231 107 187 0.66%

1232 108 54 0.19%

1234 109 25 0.08%

1235 110 5 0.01%

1236 111 5 0.01%

1237 112 841 2.97%

1251 116 8 0.02%

1252 117 13 0.04%

1253 118 27 0.09%

1254 119 27 0.09%

1271 120 1552 5.49%

1272 121 36 0.12%

1281 122 2 0%

1311 124 75 0.26%

1312 125 114 0.4%

1313 126 8 0.02%

1351 127 109 0.38%

1352 128 84 0.29%

1353 129 8 0.02%

1391 132 16 0.05%

1461 133 100 0.35%

1462 134 180 0.63%

1491 139 727 2.57%

1492 140 93 0.32%

1531 134 0.47%

1601 142 20 0.07%

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Value Label Cases Percentage

1602 143 14 0.04%

1603 144 52 0.18%

1652 146 15 0.05%

1654 148 647 2.29%

1721 149 73 0.25%

1731 150 109 0.38%

1732 151 45 0.15%

1733 152 82 0.29%

1734 153 7 0.02%

1735 154 71 0.25%

1741 155 44 0.15%

1742 94 0.33%

1743 240 0.85%

1761 156 1 0%

1762 157 10 0.03%

# untcd: Unit of Qty

Information [Type= discrete] [Format= numeric] [Range= 0-999] [Missing=*]

Statistics [NW/ W] [Valid=27803 /-] [Invalid=422 /-] [Mean=69.1412437506744 /-] [StDev=45.3595172424375 /-]

Literal Question Unit of Qty

Value Label Cases Percentage

4 0.01%

1 Kilogram (kg) 4754 16.84%

2 Gram 2 0%

3 Litre 418 1.48%

14 Jerrican (20 lts 9 0.03%

15 Jerrican (10 lts) 2 0%

16 Jerrican (5 lts) 1 0%

17 Jerrican (3 lts) 15 0.05%

18 Jerrican (2 lts) 9 0.03%

19 Jerrican (1 lt) 15 0.05%

20 Tin (Debe) - 20 lts 8 0.02%

21 Tin (5 lts) 14 0.04%

22 Plastic Basin (15 lts) 115 0.4%

23 Bottle(750ml) 1 0%

24 Bottle(500ml) 290 1.02%

25 Bottle(350ml) 274 0.97%

26 Bottle(300ml) 334 1.18%

27 Bottle(250ml) 51 0.18%

28 Bottle(150ml) 59 0.2%

29 Kimbo/Cowboy/Blueband Tin (2kg) 3 0.01%

30 Kimbo/Cowboy/Blueband Tin (1kg) 56 0.19%

31 Kimbo/Cowboy/Blueband Tin (0.5kg) 24 0.08%

32 Cup/Mug(0.5lt) 630 2.23%

33 Glass(0.25lt) 196 0.69%

35 Table spoon 15 0.05%

36 Tea spoon 12 0.04%

37 Basket (20 kg) 3 0.01%

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Value Label Cases Percentage

38 Basket (10 kg) 11 0.03%

39 Basket (5 kg) 43 0.15%

40 Basket (2 kg) 60 0.21%

44 Buns (100 g) 28 0.09%

45 Buns (50 g) 29 0.1%

49 Packet (2 kg) 7 0.02%

50 Packet (1 kg) 566 2%

51 Packet (500 g) 937 3.31%

52 Packet (250 g) 624 2.21%

53 Packet (100 g) 463 1.64%

54 Packet(125g) 188 0.66%

55 Fish Whole(small) 123 0.43%

56 Fish Whole (medium) 122 0.43%

57 Fish Whole (large) 31 0.1%

58 Fish Cut piece (up to 1kg) 4 0.01%

61 Tray of 30 eggs 4 0.01%

63 Crate 5 0.01%

67 Bunch- Big 100 0.35%

68 Bunch- medium 312 1.1%

69 Bunch- small 223 0.79%

75 Gourd(5-10lts) 1 0%

77 Jug (2 lts) 5 0.01%

79 Jug (1 lt) 3 0.01%

80 Tot (50 ml) 1 0%

81 Tot (sachet) 9 0.03%

83 Tobacco leaf (Number) 18 0.06%

85 Number of Units (General) 1587 5.62%

87 Piece-Big 505 1.78%

88 Piece-Medium 851 3.01%

89 Piece-Small 1363 4.82%

90 Heap - Big 736 2.6%

91 Heap - medium 1932 6.84%

92 Heap - small 3527 12.49%

93 Cluster - big 21 0.07%

94 Cluster - medium 84 0.29%

95 Cluster - Small 71 0.25%

96 Bundle-Big 139 0.49%

97 Bundle-Medium 430 1.52%

98 Bundle-Small 765 2.71%

100 Fish Whole-Large 2 0%

103 Plastin basin(5ltrs) 32 0.11%

104 Glass(0.5ltrs) 14 0.04%

105 Glass(0.125ltrs) 91 0.32%

107 Nice cup(100g)- Large 514 1.82%

108 Nice cup(60g)-Medium 983 3.48%

109 Nice cup(50g)-Small 1020 3.61%

119 Nomi Tin(1kg) 16 0.05%

122 Nido Tin(400g) 4 0.01%

123 Akendo-Big 107 0.37%

124 Akendo-Medium 167 0.59%

125 Akendo-Small 267 0.94%

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Value Label Cases Percentage

126 Jerrican(0.5ltrs) 24 0.08%

131 Bottle(500g) 21 0.07%

134 Loaf (Kg) 101 0.35%

135 Loaf (0.5kg) 101 0.35%

136 22 0.07%

137 Bottle (1tr 33 0.11%

138 Bottle (1.5ltr) 39 0.13%

140 sacket (10g) 466 1.65%

141 Sacket (15g) 104 0.36%

142 Sacket (20g) 30 0.1%

144 Sacket (30g) 13 0.04%

145 Sacket (50g) 67 0.23%

146 Sacket (100g) 310 1.09%

150 1 0%

999 12 0.04%

NA 422 1.49%

# CEB04: Quantity of hhold [item] purchased for consumptn at home during the last 7 days

Information [Type= contin] [Format= numeric] [Range= 0.02-25000] [Missing=*]

Statistics [NW/ W] [Valid=21500 /-] [Invalid=6725 /-] [Mean=4.27429023255814 /-] [StDev=170.794511236482 /-]

Literal Question Consumption out of Purchases:- Household (Quantity)

# CEB05: What is the total Value for [item] purchased for consumption at home

Information [Type= contin] [Format= numeric] [Range= 30-450000] [Missing=*]

Statistics [NW/ W] [Valid=14572 /-] [Invalid=13653 /-] [Mean=3919.13258303596 /-] [StDev=7505.16338755368 /-]

Literal Question Consumption out of Purchases:- Household (Value)

# CEB06: Quantity of hhold [item] purchasd for consumptn Away from home during last7 days

Information [Type= discrete] [Format= numeric] [Range= 0.25-1000] [Missing=*]

Statistics [NW/ W] [Valid=4393 /-] [Invalid=23832 /-] [Mean=3.71551331664011 /-] [StDev=26.3279700099024 /-]

Literal Question Consumption out of Purchases:- Away from home (Quantity)

Value Label Cases Percentage

0.25 9 0.03%

0.5 27 0.09%

1 1939 6.86%

1.5 5 0.01%

2 897 3.17%

2.5 4 0.01%

3 430 1.52%

3.5 1 0%

4 260 0.92%

5 149 0.52%

6 100 0.35%

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Value Label Cases Percentage

7 337 1.19%

8 23 0.08%

9 5 0.01%

10 55 0.19%

10.5 1 0%

12 13 0.04%

14 65 0.23%

15 13 0.04%

16 2 0%

18 1 0%

20 8 0.02%

21 21 0.07%

24 2 0%

25 1 0%

28 13 0.04%

30 1 0%

35 3 0.01%

36 1 0%

40 1 0%

49 1 0%

50 1 0%

70 1 0%

1000 3 0.01%

NA 23832 84.43%

# CEB07: What is the total Value for [item] purchased for consumptn Away from home

Information [Type= contin] [Format= numeric] [Range= 50-245000] [Missing=*]

Statistics [NW/ W] [Valid=4632 /-] [Invalid=23593 /-] [Mean=3657.21070811744 /-] [StDev=9821.59250681751 /-]

Literal Question Consumption out of Purchases:- Away from home (Value)

# CEB08: Quantity consumed out of home produce during the last 7 days?

Information [Type= contin] [Format= numeric] [Range= 0.13-168] [Missing=*]

Statistics [NW/ W] [Valid=3176 /-] [Invalid=25049 /-] [Mean=7.79834068010076 /-] [StDev=12.9914824932251 /-]

Literal Question Consumption out of home produce:- Quantity

# CEB09: Total Value for [item] consumed out of Home produce during the last 7 days .

Information [Type= contin] [Format= numeric] [Range= 100-500000] [Missing=*]

Statistics [NW/ W] [Valid=3174 /-] [Invalid=25051 /-] [Mean=7546.64618777568 /-] [StDev=14060.3283441904 /-]

Literal Question Consumption out of home produce:- Value

# CEB10: Quantity of [item] your household RECEIVED INKIND/FREE during the last 7 days

Information [Type= contin] [Format= numeric] [Range= 0.1-2000] [Missing=*]

Statistics [NW/ W] [Valid=5375 /-] [Invalid=22850 /-] [Mean=6.40956651162791 /-] [StDev=29.8454806962826 /-]

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Literal Question Received in-kind/Free:- Quantity

# CEB11: Total value of [item] Received in kind if it were sold in the market

Information [Type= contin] [Format= numeric] [Range= 75-210000] [Missing=*]

Statistics [NW/ W] [Valid=5426 /-] [Invalid=22799 /-] [Mean=4911.49649834132 /-] [StDev=8364.46165145165 /-]

Literal Question Received in-kind/Free:- Value

# CEB012: Quantity of [item] your household RECEIVED INKIND/FREE during the last 7 days

Information [Type= discrete] [Format= numeric] [Range= 0.5-350] [Missing=*]

Statistics [NW/ W] [Valid=860 /-] [Invalid=27365 /-] [Mean=4.86279069767442 /-] [StDev=15.4914377681279 /-]

Literal Question Received in-kind/Free:- Quantity

Value Label Cases Percentage

0.5 4 0.01%

1 292 1.03%

2 182 0.64%

3 89 0.31%

4 64 0.22%

5 35 0.12%

6 42 0.14%

7 71 0.25%

8 8 0.02%

9 2 0%

10 20 0.07%

12 3 0.01%

14 9 0.03%

15 6 0.02%

16 4 0.01%

18 1 0%

20 11 0.03%

25 2 0%

28 1 0%

30 4 0.01%

35 1 0%

38 1 0%

40 2 0%

50 1 0%

70 1 0%

100 1 0%

120 1 0%

200 1 0%

350 1 0%

NA 27365 96.95%

# CEB013: Total value of [item] Received in kind if it were sold in the market

Information [Type= discrete] [Format= numeric] [Range= 100-35000] [Missing=*]

Statistics [NW/ W] [Valid=860 /-] [Invalid=27365 /-] [Mean=2258.95348837209 /-]

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[StDev=2868.03284632742 /-]

Literal Question Received in-kind/Free:- Value

Value Label Cases Percentage

100 2 0%

200 15 0.05%

300 14 0.04%

400 26 0.09%

500 102 0.36%

600 35 0.12%

700 7 0.02%

800 16 0.05%

900 6 0.02%

1000 173 0.61%

1200 23 0.08%

1400 8 0.02%

1500 60 0.21%

1600 6 0.02%

1800 8 0.02%

2000 115 0.4%

2100 2 0%

2400 2 0%

2500 15 0.05%

2800 5 0.01%

3000 56 0.19%

3200 1 0%

3500 35 0.12%

3800 1 0%

4000 28 0.09%

4200 1 0%

4500 1 0%

4800 1 0%

4900 1 0%

5000 25 0.08%

5600 1 0%

6000 17 0.06%

7000 20 0.07%

7500 2 0%

8000 4 0.01%

9000 3 0.01%

10000 6 0.02%

10500 2 0%

12500 2 0%

14000 7 0.02%

15000 3 0.01%

20000 1 0%

35000 2 0%

NA 27365 96.95%

# CEB14a: Market price for purchasing [item] for consumption at home per unit of consumptn

Information [Type= discrete] [Format= numeric] [Range= 100-20000] [Missing=*]

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Statistics [NW/ W] [Valid=3793 /-] [Invalid=24432 /-] [Mean=1028.8689691537 /-] [StDev=1050.82018497418 /-]

Literal Question Market price for purchasing [item] for consumption at home per unit of consumption

Value Label Cases Percentage

100 50 0.17%

150 2 0%

200 367 1.3%

250 18 0.06%

300 149 0.52%

400 20 0.07%

500 1228 4.35%

600 20 0.07%

700 23 0.08%

750 2 0%

800 32 0.11%

1000 1069 3.78%

1200 15 0.05%

1300 1 0%

1400 1 0%

1500 157 0.55%

1600 2 0%

1700 1 0%

1800 1 0%

2000 350 1.24%

2100 1 0%

2300 2 0%

2400 2 0%

2500 48 0.17%

3000 129 0.45%

3500 12 0.04%

3800 1 0%

4000 33 0.11%

4200 1 0%

5000 34 0.12%

6000 5 0.01%

7000 3 0.01%

8000 3 0.01%

10000 10 0.03%

20000 1 0%

NA 24432 86.56%

# CEB14b: Market price for purchasg[item] for consumptn Away from home per unit of consmpn

Information [Type= discrete] [Format= numeric] [Range= 100-3000] [Missing=*]

Statistics [NW/ W] [Valid=60 /-] [Invalid=28165 /-] [Mean=673.333333333333 /-] [StDev=590.279068349093 /-]

Literal Question Market price for purchasing [item] for consumption away from home per unit of consumption

Value Label Cases Percentage

100 10 0.03%

200 8 0.02%

300 1 0%

500 20 0.07%

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Value Label Cases Percentage

1000 15 0.05%

1500 1 0%

2000 4 0.01%

3000 1 0%

NA 28165 99.78%

# CEB14c: Price of [item] if you were to sell it in the market per unit of consump

Information [Type= discrete] [Format= numeric] [Range= 50-10000] [Missing=*]

Statistics [NW/ W] [Valid=860 /-] [Invalid=27365 /-] [Mean=824.53488372093 /-] [StDev=952.45061895742 /-]

Literal Question Price of [item] if you were to sell it in the market per unit of consumption

Value Label Cases Percentage

50 2 0%

100 37 0.13%

150 1 0%

200 111 0.39%

250 1 0%

300 55 0.19%

400 7 0.02%

500 343 1.21%

600 8 0.02%

700 8 0.02%

800 2 0%

1000 171 0.6%

1200 2 0%

1500 13 0.04%

2000 53 0.18%

2500 4 0.01%

3000 24 0.08%

4000 4 0.01%

5000 11 0.03%

8000 1 0%

10000 2 0%

NA 27365 96.95%

# CEB15: Farm gate/producer price per unit of consumption

Information [Type= discrete] [Format= numeric] [Range= 50-10000] [Missing=*]

Statistics [NW/ W] [Valid=2369 /-] [Invalid=25856 /-] [Mean=719.818488813846 /-] [StDev=769.499338688786 /-]

Literal Question Farm gate/producer price per unit of consumption

Value Label Cases Percentage

50 3 0.01%

100 116 0.41%

200 394 1.39%

250 2 0%

300 187 0.66%

400 48 0.17%

500 872 3.08%

600 33 0.11%

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Value Label Cases Percentage

700 9 0.03%

800 19 0.06%

900 2 0%

1000 411 1.45%

1200 6 0.02%

1300 1 0%

1400 2 0%

1500 60 0.21%

2000 121 0.42%

2500 5 0.01%

3000 53 0.18%

3500 2 0%

4000 5 0.01%

5000 12 0.04%

6000 1 0%

7000 3 0.01%

10000 2 0%

NA 25856 91.6%

# interview__key:

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=28225 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# CEB3B: How many days were [ITEM] consumed out of the last 7 days?

Information [Type= discrete] [Format= numeric] [Range= 1-7] [Missing=*]

Statistics [NW/ W] [Valid=21291 /-] [Invalid=6934 /-] [Mean=4.24461039876004 /-] [StDev=2.46773514046733 /-]

Literal Question How many days was [ITEM] consumed out of the last 7 days?

Value Label Cases Percentage

1 4110 14.56%

2 3419 12.11%

3 2504 8.87%

4 1469 5.2%

5 1044 3.69%

6 399 1.41%

7 8346 29.56%

NA 6934 24.56%

# CEB12a: Market price for purchasing [item] for consumption at home per unit of consumptn

Information [Type= contin] [Format= numeric] [Range= 33-70000] [Missing=*]

Statistics [NW/ W] [Valid=14571 /-] [Invalid=13654 /-] [Mean=2278.49824994853 /-] [StDev=3228.83440788497 /-]

Literal Question Market Price

# CEB12b: Market price for purchasg[item] for consumptn Away from home per unit of consmpn

Information [Type= discrete] [Format= numeric] [Range= 50-15000] [Missing=*]

Statistics [NW/ W] [Valid=404 /-] [Invalid=27821 /-] [Mean=1382.59158415842 /-] [StDev=1817.99855566921 /-]

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Literal Question Market Price

Value Label Cases Percentage

50 1 0%

100 24 0.08%

150 2 0%

167 1 0%

200 28 0.09%

250 3 0.01%

300 4 0.01%

400 2 0%

500 89 0.31%

600 5 0.01%

700 10 0.03%

1000 122 0.43%

1200 6 0.02%

1300 1 0%

1500 18 0.06%

1600 1 0%

1700 1 0%

2000 25 0.08%

2200 5 0.01%

2500 12 0.04%

3000 15 0.05%

3500 4 0.01%

4000 3 0.01%

4500 2 0%

5000 4 0.01%

6000 3 0.01%

8000 6 0.02%

9000 2 0%

10000 3 0.01%

12000 1 0%

15000 1 0%

NA 27821 98.56%

# CEB13: Farm gate/producer price per unit of consumption

Information [Type= contin] [Format= numeric] [Range= 50-30000] [Missing=*]

Statistics [NW/ W] [Valid=2829 /-] [Invalid=25396 /-] [Mean=2230.84128667374 /-] [StDev=3517.22884188897 /-]

Literal Question Farm gate price

# CEB12c: Price of [item] if you were to sell it in the market per unit of consump

Information [Type= contin] [Format= numeric] [Range= 50-30000] [Missing=*]

Statistics [NW/ W] [Valid=2978 /-] [Invalid=25247 /-] [Mean=1829.31497649429 /-] [StDev=2635.67778394286 /-]

Literal Question Market Price

File hsec15c

# hh: InterviewId

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Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=16094 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# CEC01: Item description

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=16094 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Item Description

Value Label Cases Percentage

1934 12.01%

Barber and Beauty Shops

717 4.45%

Bathing soap

307 1.9%

Batteries (Dry cells)

425 2.64%

Consultation Fees

497 3.08%

Cosmetics (body lotion, deodorant etc)

1034 6.42%

Diapers 80 0.49%

Diesel 11 0.06%

Dry Cleaning and Laundry

23 0.14%

Electricity 330 2.05%

Expenditure on phone calls for phones not owned

25 0.15%

Expenses in hotels, lodging, etc

10 0.06%

Generators/lawn mower fuels

1 0%

Handbags, travel bags etc

58 0.36%

Hospital/ clinic charges

203 1.26%

Houseboys/ girls, Shamba boys etc

52 0.32%

Imputed rent of free house

105 0.65%

Imputed rent of owned house

1411 8.76%

Lubricants (, engine oil, grease, coolant etc)

49 0.3%

Maintenance and repair expenses

46 0.28%

Maintenance and repair of vehicles, motorcycles and bicycles

88 0.54%

Medicines etc

1027 6.38%

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Value Label Cases Percentage

Others 201 1.24%

Petrol 92 0.57%

Postal Services

2 0.01%

Refuse collection

116 0.72%

Rent of rented house

351 2.18%

Sanitary Towels

478 2.97%

Security fees (guard, LC defense, community security)

7 0.04%

Sports, theaters, etc

9 0.05%

Stamps, envelops, etc.

3 0.01%

Toilet Paper 296 1.83%

Tooth brush 292 1.81%

Tooth paste 694 4.31%

Total expenditure on health

1045 6.49%

Toys, games etc

12 0.07%

Traditional Doctors fees/ medicines

23 0.14%

Transport to and From health facility

336 2.08%

Tyres, tubes, spares, brake pads etc

42 0.26%

Washing soap

1935 12.02%

Water NWSC

288 1.78%

Water Other sources

1439 8.94%

# itmcd: Item Code

Information [Type= discrete] [Format= numeric] [Range= 301-6051] [Missing=*]

Statistics [NW/ W] [Valid=16094 /-] [Invalid=0 /-] [Mean=949.364359388592 /-] [StDev=1198.88776764683 /-]

Literal Question Code

Value Label Cases Percentage

301 351 2.18%

302 1411 8.76%

303 105 0.65%

304 46 0.28%

306 330 2.05%

307 1 0%

308 229 1.42%

309 535 3.32%

310 1169 7.26%

311 7 0.04%

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Value Label Cases Percentage

452 1935 12.02%

453 307 1.9%

454 694 4.31%

455 1034 6.42%

456 58 0.36%

457 425 2.64%

459 38 0.23%

460 80 0.49%

461 42 0.26%

466 3 0.01%

468 25 0.15%

469 75 0.46%

470 478 2.97%

501 497 3.08%

502 1027 6.38%

503 203 1.26%

504 23 0.14%

505 81 0.5%

506 336 2.08%

507 1045 6.49%

601 9 0.05%

602 23 0.14%

603 52 0.32%

604 717 4.45%

605 10 0.06%

3051 288 1.78%

3052 1439 8.94%

3112 1 0%

3121 116 0.72%

4541 292 1.81%

4542 296 1.83%

4591 12 0.07%

4621 49 0.3%

4622 92 0.57%

4623 11 0.06%

4651 88 0.54%

4661 2 0.01%

6051 7 0.04%

# untcd: Unit of Quantity

Information [Type= discrete] [Format= numeric] [Range= 3-133] [Missing=*]

Statistics [NW/ W] [Valid=15518 /-] [Invalid=576 /-] [Mean=34.5884134553422 /-] [StDev=32.7749420910834 /-]

Literal Question Unit of Quantity

Value Label Cases Percentage

3 LITRE 137 0.85%

9 Sack(120kg) 4 0.02%

10 sack(100kg) 8897 55.28%

11 sack(80kg) 128 0.79%

13 sack(unspecified) 1 0%

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Value Label Cases Percentage

21 Tin (5lts) 4 0.02%

22 Plastic basin(15lts) 210 1.3%

25 Bottle(350ml) 68 0.42%

46 Bathing soap (tablet) 298 1.85%

47 Washing soap (bar) 1513 9.4%

48 Washing soap (tablet) 395 2.45%

49 Packet (2kg) 4 0.02%

50 Packet (1kg) 16 0.09%

52 Packet (250g) 3 0.01%

84 pair 421 2.61%

85 Number of unit (general) 2209 13.72%

90 Heap large 349 2.16%

91 Heap medium 517 3.21%

92 Heap small 303 1.88%

123 Akendo- big 12 0.07%

124 Akendo- medium 17 0.1%

125 Akendo- small 9 0.05%

133 sadolin tin- 3ltrs 3 0.01%

NA 576 3.57%

# CEC04: Qty purchased

Information [Type= contin] [Format= numeric] [Range= 0.2-120000] [Missing=*]

Statistics [NW/ W] [Valid=3585 /-] [Invalid=12509 /-] [Mean=40.293201250453 /-] [StDev=2006.40371518442 /-]

Literal Question Purchases- Quantity

# CEC05: Value purchased

Information [Type= contin] [Format= numeric] [Range= 1-3745000] [Missing=*]

Statistics [NW/ W] [Valid=10915 /-] [Invalid=5179 /-] [Mean=24512.268071383 /-] [StDev=94142.8024289042 /-]

Literal Question Purchases- Value

# CEC06: home produced Qty for item

Information [Type= discrete] [Format= numeric] [Range= 1-120000] [Missing=*]

Statistics [NW/ W] [Valid=215 /-] [Invalid=15879 /-] [Mean=4581.66279069767 /-] [StDev=14593.0929937846 /-]

Literal Question Home produced- Quantity

Value Label Cases Percentage

1 18 0.11%

2 29 0.18%

2.5 1 0%

3 19 0.11%

4 36 0.22%

5 9 0.05%

6 4 0.02%

7 3 0.01%

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Value Label Cases Percentage

8 8 0.04%

10 16 0.09%

12 2 0.01%

15 3 0.01%

20 3 0.01%

25 1 0%

30 14 0.08%

40 1 0%

50 1 0%

60 5 0.03%

1500 1 0%

2000 2 0.01%

3000 1 0%

5000 2 0.01%

6000 2 0.01%

8000 2 0.01%

10000 4 0.02%

12000 3 0.01%

14000 2 0.01%

16000 3 0.01%

20000 8 0.04%

30000 5 0.03%

40000 2 0.01%

45000 1 0%

50000 1 0%

60000 1 0%

120000 2 0.01%

NA 15879 98.66%

# CEC07: home produced Valuefor item

Information [Type= contin] [Format= numeric] [Range= 1-30000000] [Missing=*]

Statistics [NW/ W] [Valid=1512 /-] [Invalid=14582 /-] [Mean=130246.718915344 /-] [StDev=1259310.54635221 /-]

Literal Question Home produced- Value

# CEC08: Qty received inkind for item

Information [Type= discrete] [Format= numeric] [Range= 1-30000] [Missing=*]

Statistics [NW/ W] [Valid=1044 /-] [Invalid=15050 /-] [Mean=106.817049808429 /-] [StDev=1464.56513529743 /-]

Literal Question Received in-kind/Free- Quantity

Value Label Cases Percentage

1 142 0.88%

2 166 1.03%

3 120 0.74%

4 215 1.33%

5 75 0.46%

6 36 0.22%

7 13 0.08%

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Value Label Cases Percentage

8 64 0.39%

9 1 0%

10 70 0.43%

12 27 0.16%

15 30 0.18%

16 8 0.04%

20 17 0.1%

21 1 0%

22 1 0%

25 1 0%

30 45 0.27%

40 2 0.01%

60 3 0.01%

5000 1 0%

6000 2 0.01%

10000 1 0%

24000 2 0.01%

30000 1 0%

NA 15050 93.51%

# CEC09: Qty received inkind Value for item

Information [Type= contin] [Format= numeric] [Range= 1-1500000] [Missing=*]

Statistics [NW/ W] [Valid=4169 /-] [Invalid=11925 /-] [Mean=22473.8896617894 /-] [StDev=61128.4764559932 /-]

Literal Question Received in-kind/Free- Value

# CEC10: Unit Price for item

Information [Type= contin] [Format= numeric] [Range= 100-60000] [Missing=*]

Statistics [NW/ W] [Valid=4115 /-] [Invalid=11979 /-] [Mean=3114.73053282579 /-] [StDev=2845.83042315053 /-]

Literal Question Unit Price

# CEC10_1: Unit Price for item

Information [Type= contin] [Format= numeric] [Range= 0.000857142847962677-120000] [Missing=*]

Statistics [NW/ W] [Valid=3586 /-] [Invalid=12508 /-] [Mean=6897.96730711238 /-] [StDev=13937.7375155135 /-]

Literal Question Unit Price

File hsec15d

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# itmcd: Item Code

Information [Type= discrete] [Format= numeric] [Range= 205-7024] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=1963.37276584801 /-] [StDev=2088.96090681595 /-]

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Literal Question Item Code

Value Label Cases Percentage

205 Tailoring and Materials 201 1.29%

206 Men’s Footwear 623 4%

207 Women’s Footwear 828 5.32%

208 Children’s Footwear 793 5.09%

209 Other Footwear and repairs 275 1.76%

301 Furniture Items 253 1.62%

302 Carpets, mats, etc 161 1.03%

303 Curtains, etc 233 1.49%

304 Bedding Mattresses 178 1.14%

305 Blankets 256 1.64%

306 Others and Repairs 18 0.11%

401 Appliances: Electric iron, / Kettles, Refrigerator etc 53 0.34%

402 Charcoal and Kerosene Stoves 171 1.09%

403 Electronic Equipment 45 0.28%

404 Bicycles 51 0.32%

405 Radio 172 1.1%

406 Motors, Pick-ups, etc 4 0.02%

407 Motor cycles 24 0.15%

408 Computers for household use 8 0.05%

410 Other equipment and repairs 6 0.03%

411 Jewelry, Watches, clocks etc 105 0.67%

501 690 4.43%

502 351 2.25%

503 510 3.27%

504 93 0.59%

505 15 0.09%

506 6 0.03%

602 Boarding and Lodging 73 0.46%

603 School uniform 683 4.39%

604 Books and supplies 1223 7.86%

607 Costs to and from school 168 1.08%

701 Expenditure on household functions 38 0.24%

703 Other services N.E.S. 3 0.01%

2011 Men’s clothing- second hand 479 3.07%

2012 505 3.24%

2021 Women’s clothing –second hand 557 3.58%

2022 Women’s clothing –new 580 3.72%

2031 Children’s clothing (excluding school uniforms)- Second hand

565 3.63%

2032 687 4.41%

2041 Other clothing and clothing materials/hiring of clothing materials

68 0.43%

3031 Bed sheets 448 2.88%

4012 Home theatres, DVDs, Decks CD players 11 0.07%

4021 Electric/Gas cooker 11 0.07%

4031 Flash disks, CDs 18 0.11%

4091 Phone Handsets fixed 7 0.04%

4092 Phone Handsets mobile 336 2.16%

5041 251 1.61%

5042 335 2.15%

6011 School fees 1126 7.23%

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Value Label Cases Percentage

6012 Registration fees 447 2.87%

6013 Exam fees 522 3.35%

6051 Other educational expenses 225 1.44%

6052 Expenses in day care facility 28 0.18%

7021 Insurance connected to health 4 0.02%

7022 Third party insurance 22 0.14%

7023 Education insurance 3 0.01%

7024 Funeral insurance 8 0.05%

# coicop_1: Classification of consumption by purpose:division

Information [Type= discrete] [Format= numeric] [Range= 3-12] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=5.54886202906005 /-] [StDev=2.85811147206948 /-]

Value Label Cases Percentage

3 CLOTHING AND FOOTWEAR 6844 44%

5 FURNISHINGS, HOUSEHOLD EQUIPMENT AND ROUTINE HOUSEHOLD MAINTENANCE

3172 20.39%

6 HEALTH 861 5.53%

7 TRANSPORT 247 1.58%

8 COMMUNICATION 343 2.2%

9 RECREATION AND CULTURE 1483 9.53%

10 EDUCATION 2123 13.64%

11 RESTAURANTS AND HOTELS 73 0.46%

12 MISCELLANEOUS GOODS AND SERVICES 408 2.62%

# coicop_2: Classification of consumption by purpose:group

Information [Type= discrete] [Format= numeric] [Range= 31-127] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=57.8842098495564 /-] [StDev=29.5220946194877 /-]

Value Label Cases Percentage

31 Clothing 4325 27.8%

32 Footwear 2519 16.19%

51 Furniture and furnishings, Carpets and Other Floor Coverings

414 2.66%

52 Household Textiles 1133 7.28%

53 Household Appliances 235 1.51%

54 Glassware, Tableware and Household Utensils 586 3.76%

55 Tools and Equipments for House and Garden 804 5.16%

61 Medical Products, Appliances and Equipments 861 5.53%

71 Purchase of Vehicles 79 0.5%

73 Transport Services 168 1.08%

82 Telephone and telefax equipment 343 2.2%

91 Audio-visual, photographic and information processing equipment

260 1.67%

95 Newspapers, books and stationery 1223 7.86%

104 Tertiary Education 2123 13.64%

112 Accommodation services 73 0.46%

121 Personal Care 225 1.44%

123 Personal Effects n.e.c 105 0.67%

125 Insurance 40 0.25%

127 Other services n.e.c. 38 0.24%

# coicop_3: Classification of consumption by purpose:Class

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Information [Type= discrete] [Format= numeric] [Range= 311-1271] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=580.144335862158 /-] [StDev=295.151184356561 /-]

Value Label Cases Percentage

311 Clothing Materials 2003 12.87%

312 Garments 2121 13.63%

314 Cleaning, Repair and Hire of Clothing 201 1.29%

321 Shoes and other footwear 2519 16.19%

511 Furniture and furnishings 253 1.62%

512 Carpets and other floor coverings 161 1.03%

521 Household Textiles 1133 7.28%

531 Major household appliances whether electric or not 182 1.17%

532 Small electric household appliances 53 0.34%

541 Glassware, Tableware and Household Utensils 586 3.76%

552 Small tools and miscellaneous accessories 804 5.16%

611 Pharmaceutical products 861 5.53%

711 Motor cars 28 0.18%

713 Bicycles 51 0.32%

732 Passenger transport by road 168 1.08%

821 Telephone and telefax equipment 343 2.2%

911 Equipments for reception, recording and reproduction of sound and pictures

217 1.39%

913 Information Processing Equipments 26 0.16%

914 Recording media 11 0.07%

915 Repair of audio-visual, photographic and information processing equipment

6 0.03%

951 Books 1223 7.86%

1041 Tertiary Education 2123 13.64%

1121 Accommodation services 73 0.46%

1213 Other Appliances, articles and products for personal care

225 1.44%

1231 Jewellery, clocks and watches 105 0.67%

1253 Insurance connected with health 4 0.02%

1254 Insurance connected with transport 22 0.14%

1255 Other insurance 14 0.09%

1271 Other services n.e.c. 38 0.24%

# coicop_6: Classification of consumption by purpose

Information [Type= discrete] [Format= numeric] [Range= 311101-1271100] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=580288.018580429 /-] [StDev=295120.854541358 /-]

Value Label Cases Percentage

311101 104 1316 8.46%

311102 687 4.41%

312201 107 984 6.32%

312202 108 1137 7.31%

314102 112 201 1.29%

321102 114 623 4%

321201 115 828 5.32%

321301 116 793 5.09%

321401 275 1.76%

511106 253 1.62%

512101 140 161 1.03%

521101 141 178 1.14%

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Value Label Cases Percentage

521102 142 256 1.64%

521103 143 448 2.88%

521105 145 233 1.49%

521106 18 0.11%

531301 146 171 1.09%

531302 147 11 0.07%

532102 149 53 0.34%

541201 151 586 3.76%

552103 154 804 5.16%

611108 169 351 2.25%

611109 170 510 3.27%

711203 4 0.02%

711204 24 0.15%

713103 51 0.32%

732107 199 168 1.08%

821101 203 336 2.16%

821102 204 7 0.04%

911101 207 172 1.1%

911201 209 45 0.28%

913103 26 0.16%

914101 212 11 0.07%

915102 6 0.03%

951105 1223 7.86%

1041100 28 0.18%

1041103 2095 13.46%

1121101 243 73 0.46%

1213106 254 225 1.44%

1231100 105 0.67%

1253101 4 0.02%

1254101 263 22 0.14%

1255101 14 0.09%

1271100 38 0.24%

# CED01: Item description

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=15554 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Item Description

# CED03: Purchases Value for item

Information [Type= contin] [Format= numeric] [Range= 200-42000000] [Missing=*]

Statistics [NW/ W] [Valid=14252 /-] [Invalid=1302 /-] [Mean=118389.238352512 /-] [StDev=729541.130882511 /-]

Literal Question How much did the household spent in total on the [ITEM] during the last 365 days?

# CED04: Consumption out of household /enterprise stock Value

Information [Type= discrete] [Format= numeric] [Range= 365-900000] [Missing=*]

Statistics [NW/ W] [Valid=63 /-] [Invalid=15491 /-] [Mean=59281.9841269841 /-] [StDev=155035.050864 /-]

Literal Question How much did the household spent in total on these [ITEM] during the last 365 days? UGX Consumption out of household /enterprise stock

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Value Label Cases Percentage

365 1 0%

1000 1 0%

3000 1 0%

3100 1 0%

4000 3 0.01%

5000 7 0.04%

5500 1 0%

7000 1 0%

8000 2 0.01%

9000 1 0%

9800 1 0%

10000 7 0.04%

12000 1 0%

18000 1 0%

20000 6 0.03%

23000 1 0%

25000 1 0%

30000 5 0.03%

35000 1 0%

38000 1 0%

39000 1 0%

40000 5 0.03%

45000 1 0%

50000 1 0%

58000 1 0%

60000 4 0.02%

70000 1 0%

100000 1 0%

180000 1 0%

540000 1 0%

720000 1 0%

900000 1 0%

NA 15491 99.59%

# CED05: Received in-kind/Free Value

Information [Type= contin] [Format= numeric] [Range= 365-3830000] [Missing=*]

Statistics [NW/ W] [Valid=2131 /-] [Invalid=13423 /-] [Mean=94974.8338808071 /-] [StDev=258661.841867568 /-]

Literal Question What would be the total value of these of [ITEM] received in kind or for free if you were to sell them in the market?

# consumed_365:

Information [Type= contin] [Format= numeric] [Range= 0-90000000] [Missing=*]

Statistics [NW/ W] [Valid=15440 /-] [Invalid=114 /-] [Mean=153855.649676166 /-] [StDev=1133567.05096303 /-]

File hsec15e

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

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Statistics [NW/ W] [Valid=745 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# CEE01: Item description

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=745 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Item description

Value Label Cases Percentage

Funerals and other social functions

259 34.76%

Income tax 33 4.42%

Interest on loans

67 8.99%

Local Service tax

45 6.04%

Other financial services fees (credit card fees, overdraft charges, bankers cheque charges, deposit/withdrawal charges, cell phone money transfer charges)

11 1.47%

Others (like subscriptions, interest to consumer debts, etc.)

6 0.8%

Pension and social security payments

7 0.93%

Property rates (taxes)

13 1.74%

Remittances, gifts, and other transfers

247 33.15%

User fees and charges (passport, legal, photocopying service of marriage)

57 7.65%

# CEE02: Item Code

Information [Type= discrete] [Format= numeric] [Range= 801-8031] [Missing=*]

Statistics [NW/ W] [Valid=745 /-] [Invalid=0 /-] [Mean=912.578523489933 /-] [StDev=872.016224182248 /-]

Literal Question Code

Value Label Cases Percentage

801 33 4.42%

802 13 1.74%

803 57 7.65%

804 45 6.04%

805 7 0.93%

806 247 33.15%

807 259 34.76%

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Value Label Cases Percentage

808 67 8.99%

809 6 0.8%

8031 11 1.47%

# CEE03: Value

Information [Type= contin] [Format= numeric] [Range= 0-84000000] [Missing=*]

Statistics [NW/ W] [Valid=738 /-] [Invalid=7 /-] [Mean=649674.056910569 /-] [StDev=4036701.36182438 /-]

Literal Question How much did the household spent in total on these of [ITEM] during the last 365days?Value (During the last 365 days)

File hsec22

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# InkindREMITTANCES__id:

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=3.35901926444834 /-] [StDev=2.90655672900538 /-]

Value Label Cases Percentage

1 268 46.93%

2 79 13.83%

3 5 0.87%

4 28 4.9%

5 5 0.87%

6 94 16.46%

7 34 5.95%

8 2 0.35%

9 38 6.65%

10 18 3.15%

# InkindOthers1: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Value Label Cases Percentage

551 96.49%

##N/A## 3 0.52%

ACCOMMODATIONS AND FEEDING DURING SCHOOL TERM

1 0.17%

Car 1 0.17%

FEEDING AND ACCOMMODATION DURING SCHOOL TERM

1 0.17%

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Value Label Cases Percentage

FOOD AND ACCOMMODATION DURING SCHOOL TIME

1 0.17%

Food and accomodation

1 0.17%

medical 1 0.17%

mosquito nets

1 0.17%

Mosquito nets

2 0.35%

net 1 0.17%

NONE 1 0.17%

soap 1 0.17%

Soap 1 0.17%

UNHCR tent,blankets,solar light

1 0.17%

Washing soap

1 0.17%

Washing soap and sanitary pads

1 0.17%

WEAVES AND BRAIDS

1 0.17%

# RM10__0: Who in the household received item?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who in the household received item?

Interviewer Instructions Record PIDs

Value Label Cases Percentage

-999999999 3 0.52%

1 402 70.4%

10 1 0.17%

2 102 17.86%

3 27 4.72%

4 14 2.45%

5 7 1.22%

6 10 1.75%

7 3 0.52%

8 1 0.17%

9 1 0.17%

# RM10__1: Who in the household received item?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who in the household received item?

Interviewer Instructions Record PIDs

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Value Label Cases Percentage

348 60.94%

-999999999 3 0.52%

2 144 25.21%

3 22 3.85%

4 20 3.5%

5 15 2.62%

6 8 1.4%

7 7 1.22%

8 3 0.52%

9 1 0.17%

# RM10__2: Who in the household received item?

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Who in the household received item?

Interviewer Instructions Record PIDs

Value Label Cases Percentage

443 77.58%

-999999999 3 0.52%

11 1 0.17%

3 69 12.08%

4 16 2.8%

5 12 2.1%

6 13 2.27%

7 7 1.22%

8 3 0.52%

9 4 0.7%

# RM11: RM11. Where did items in kind originate?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=568 /-] [Invalid=3 /-] [Mean=8.43661971830986 /-] [StDev=25.4013886186635 /-]

Literal Question Where did items in kind originate?

Value Label Cases Percentage

1 Uganda 504 88.26%

2 South Sudan 11 1.92%

3 DR of Congo 4 0.7%

5 Somalia 2 0.35%

6 Rwanda 2 0.35%

8 Ethiopia 1 0.17%

96 Other (specify) 44 7.7%

NA 3 0.52%

# RM11_oth: RM11. Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Where did items in kind originate? - Other (specify)

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Value Label Cases Percentage

524 91.76%

##N/A## 3 0.52%

Aid to refugees

1 0.17%

australia 2 0.35%

by pope in 2016

1 0.17%

fellow refugees

1 0.17%

From her daughter who is also a refugee and she is in the same camp with her

1 0.17%

INTERAID 2 0.35%

my relatives 1 0.17%

NGOS 3 0.52%

school 1 0.17%

UAE 1 0.17%

UN 3 0.52%

UNHCR 24 4.2%

UNITED STATES OF AMERICA

1 0.17%

WFP 1 0.17%

WORLD FOOD PROGRAM

1 0.17%

# RM12: RM12. Total value recieved in the last 12 months?

Information [Type= contin] [Format= numeric] [Range= 0-20000000] [Missing=*]

Statistics [NW/ W] [Valid=568 /-] [Invalid=3 /-] [Mean=257543.01056338 /-] [StDev=953104.303713335 /-]

Literal Question Total value received in the last 12 months?

# RM13: RM13. How often does %rostertitle% receive transfers?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=568 /-] [Invalid=3 /-] [Mean=14.3380281690141 /-] [StDev=28.6452823707761 /-]

Literal Question How often does [NAME] receive transfers?

Value Label Cases Percentage

1 Weekly 23 4.02%

2 Fortnightly 4 0.7%

3 Monthly 175 30.64%

4 Quarterly 70 12.25%

5 Bi-annually 48 8.4%

6 Once during the year 186 32.57%

96 Other(specify) 62 10.85%

NA 3 0.52%

# RM14: RM14 Through what channels does %rostertitle% receive

Information [Type= discrete] [Format= numeric] [Range= 4-96] [Missing=*]

Statistics [NW/ W] [Valid=568 /-] [Invalid=3 /-] [Mean=43.0404929577465 /-] [StDev=44.3681501638609 /-]

Literal Question Through what channels does [NAME] receive [ITEM]?

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Value Label Cases Percentage

4 Post office 5 0.87%

5 Friends/Relatives (abroad) 19 3.32%

6 Friends/Relatives (in Uganda) 305 53.41%

7 Traders/shopping outlets 2 0.35%

8 Unaccompanied luggage 3 0.52%

96 Other(specify) 234 40.98%

NA 3 0.52%

# RM14_oth: RM14 Others Specify

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Through what channels does [NAME] receive [ITEM]?- Other (specify)

# RM15: RM15 What was the main purpose of the %rostertitle% received?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=568 /-] [Invalid=3 /-] [Mean=19.762323943662 /-] [StDev=36.1307861841728 /-]

Literal Question What was the main purpose of the [ITEM] received?

Value Label Cases Percentage

1 Education 39 6.83%

2 Medical 98 17.16%

3 Upkeep 302 52.88%

4 Purchase of goods and/or services 25 4.37%

96 Other (specify) 104 18.21%

NA 3 0.52%

# RM15_oth: RM15 Others Specify

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What was the main purpose of the [ITEM] received?- Other (specify)

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-222] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=97.2416812609457 /-] [StDev=74.3547996065945 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=571 /-] [Invalid=0 /-] [Mean=5.60420315236427 /-] [StDev=2.92974758281453 /-]

Literal Question HOUSEHOLD SERIAL NO.

Value Label Cases Percentage

1 59 10.33%

2 59 10.33%

3 47 8.23%

4 51 8.93%

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Value Label Cases Percentage

5 61 10.68%

6 58 10.15%

7 54 9.45%

8 60 10.5%

9 53 9.28%

10 69 12.08%

File hsec22a

# hh: InterviewId

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# pid: Individual indentifier

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=2.43577405857741 /-] [StDev=2.12643278560839 /-]

Value Label Cases Percentage

1 1964 41.08%

2 1421 29.72%

3 513 10.73%

4 304 6.35%

5 188 3.93%

6 128 2.67%

7 83 1.73%

8 60 1.25%

9 38 0.79%

10 32 0.66%

11 20 0.41%

12 8 0.16%

13 5 0.1%

14 6 0.12%

15 3 0.06%

16 2 0.04%

17 2 0.04%

18 1 0.02%

24 1 0.02%

33 1 0.02%

# R01_8: RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question RECORD ID CODE OF PERSON RESPONDING FOR [NAME]

Value Label Cases Percentage

1 2961 61.94%

10 12 0.25%

11 9 0.18%

12 1 0.02%

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Value Label Cases Percentage

14 1 0.02%

18 1 0.02%

2 1389 29.05%

3 195 4.07%

4 88 1.84%

5 51 1.06%

6 32 0.66%

7 20 0.41%

8 14 0.29%

9 6 0.12%

# RM1: RM3 Did %rostertitle% receive money/personal transfers in the last 12 months?

Information [Type= discrete] [Format= numeric] [Range= 1-2] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=1.86569037656904 /-] [StDev=0.341020348303692 /-]

Literal Question Did (Name) receive money/personal transfers in the last 12 months?

Post-Question Text No>>Next person

Value Label Cases Percentage

1 yes 642 13.43%

2 No 4138 86.56%

# RM2: RM2 Type of personal transfer

Information [Type= discrete] [Format= numeric] [Range= 1-3] [Missing=*]

Statistics [NW/ W] [Valid=642 /-] [Invalid=4138 /-] [Mean=1.45482866043614 /-] [StDev=0.781204748982317 /-]

Literal Question Type of personal transfer

Post-Question Text Kind>>RM7

Value Label Cases Percentage

1 Cash 466 9.74%

2 Kind 60 1.25%

3 Both 116 2.42%

NA 4138 86.56%

# RM2_1: RM2_1. Where did the transfer originate?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=582 /-] [Invalid=4198 /-] [Mean=10.4209621993127 /-] [StDev=27.9608733344793 /-]

Literal Question Where did the transfer originate?

Value Label Cases Percentage

1 Uganda 435 9.1%

2 South Sudan 65 1.35%

3 DR of Congo 7 0.14%

5 Somalia 16 0.33%

6 Rwanda 1 0.02%

8 Ethiopia 1 0.02%

9 Kenya 1 0.02%

96 Other (specify) 56 1.17%

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Value Label Cases Percentage

NA 4198 87.82%

# RM2_1oth: Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Where did the transfer originate? - Other (specify)

Value Label Cases Percentage

4724 98.82%

America 2 0.04%

AMERICA (US)

1 0.02%

America and canada

1 0.02%

Australia 1 0.02%

Belgium,Australia and USA

1 0.02%

Botswana 2 0.04%

canada 2 0.04%

Canada 2 0.04%

Denmark 1 0.02%

Dubai 1 0.02%

England 2 0.04%

Eritrea 1 0.02%

From the UK

1 0.02%

from united kingdom

1 0.02%

Germany 1 0.02%

Japan 1 0.02%

pakistan 1 0.02%

Saudi Arabia

1 0.02%

south africa 1 0.02%

sweden 1 0.02%

Sweden 1 0.02%

SWEDEN 1 0.02%

U.S.A 1 0.02%

U.S.A and Canada

1 0.02%

UAE 1 0.02%

uganda and UAE

1 0.02%

UNHCR 4 0.08%

UNHCR AID

1 0.02%

UNITED ARAB EMIRATES

1 0.02%

united kingdom

1 0.02%

United kingdom

1 0.02%

United Kingdom

3 0.06%

United Nations

1 0.02%

United states

1 0.02%

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File hsec22a

Value Label Cases Percentage

United States

1 0.02%

United States of America

4 0.08%

UNITED STATES OF AMERICA

2 0.04%

United Status Of America

1 0.02%

USA 4 0.08%

# RM3: RM3 How much money in total did %rostertitle% receive in the last 12 months?

Information [Type= contin] [Format= numeric] [Range= 1000-24000000] [Missing=*]

Statistics [NW/ W] [Valid=582 /-] [Invalid=4198 /-] [Mean=1313741.92439863 /-] [StDev=3205970.27697201 /-]

Literal Question How much money in total did [NAME] receive in the last 12 months?

# RM4: RM4 How often does %rostertitle% receive money?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=582 /-] [Invalid=4198 /-] [Mean=9.84192439862543 /-] [StDev=22.1841555871085 /-]

Literal Question How often does [NAME] receive money?

Value Label Cases Percentage

1 Weekly 22 0.46%

2 Fortnightly 1 0.02%

3 Monthly 207 4.33%

4 Quarterly 112 2.34%

5 Bi-annually 45 0.94%

6 Once during the year 159 3.32%

96 Other(specify) 36 0.75%

NA 4198 87.82%

# RM4_oth: RM4 Other Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question How often does [NAME] receive money?- Other (specify)

Value Label Cases Percentage

4744 99.24%

ADHOC 2 0.04%

any time 1 0.02%

daily 1 0.02%

EVERY SCHOOL TERM

2 0.04%

irregular 1 0.02%

IRREGULAR

1 0.02%

irregularly 1 0.02%

Irregularly 2 0.04%

IRREGULARLY

1 0.02%

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Value Label Cases Percentage

IRREGULARLY BASED ON CIRCUMSTANCES

1 0.02%

IRREGULARLY WHEN AVAILABLE

1 0.02%

IT'S IRREGULAR,THEY DECIDE TO GIVE WHEN THEY HAVE IT

1 0.02%

It was sent just once. 100 USD was sent to the the family in August 2017 from a friend to Aline. it is not a regular transaction but rather a one off.

1 0.02%

Its irregular sometimes twice or four times in a year. It depends if the daughter gets money.

1 0.02%

no specific time. relatives send when they get the money

1 0.02%

NOT REGULAR

1 0.02%

OCCASIONALLY

3 0.06%

once 2 0.04%

Once 2 0.04%

Once every 2 months

1 0.02%

Once in a while.

3 0.06%

once in a while. it is not regular

1 0.02%

only in the last 12 months

1 0.02%

termly 1 0.02%

THREE TIMES A YEAR

2 0.04%

whenever the father gets some little money he sends for the son's up keep.there is no spefied period.

1 0.02%

# RM5: RM5 Through what channels does %rostertitle% receive the money?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

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Statistics [NW/ W] [Valid=582 /-] [Invalid=4198 /-] [Mean=15.3745704467354 /-] [StDev=28.1726403710731 /-]

Literal Question Through what channels does [NAME] receive the money?

Value Label Cases Percentage

1 Bank Account 44 0.92%

2 Western Union 31 0.64%

3 Money gram 15 0.31%

4 Post office 6 0.12%

5 Friends/Relatives (abroad) 22 0.46%

6 Friends/Relatives (in Uganda) 192 4.01%

7 Mobile Money 209 4.37%

96 Other(specify) 63 1.31%

NA 4198 87.82%

# RM5_oth: RM5 Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question Through what channels does [NAME] receive the money?- Other(specify)

Value Label Cases Percentage

4717 98.68%

aid to refugees

5 0.1%

AMAAL 1 0.02%

Amal Express

2 0.04%

At hand 1 0.02%

cash 4 0.08%

Cash 3 0.06%

CASH 4 0.08%

Cash at hand

2 0.04%

Children 1 0.02%

dahabshiil somali bank

3 0.06%

dahabshil Bank

1 0.02%

dahbshil somali money transfer services

2 0.04%

DIRECT 2 0.04%

Forex bureau

1 0.02%

Friends mobile money

1 0.02%

Give directly through post bank

1 0.02%

Government of Uganda

1 0.02%

Hand cash 5 0.1%

hand delivered

1 0.02%

HAND DELIVERED FROM THE SOURCE

1 0.02%

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Value Label Cases Percentage

money transfer agency called dahabshill

1 0.02%

money transfer agency called juba

1 0.02%

Money transfer Agency called Kaah

1 0.02%

money transfer agency called taaj

1 0.02%

Money transfer Agency called Tawakal

1 0.02%

picks it or he brings it

1 0.02%

Post bank 1 0.02%

Post Bank 1 0.02%

selling home produce

1 0.02%

SPOUSE IN UGANDA

1 0.02%

The daughter brings the money

1 0.02%

They look after her on a daily basis

1 0.02%

UNHCR 7 0.14%

United Nations

1 0.02%

village savings group

1 0.02%

# RM6: RM6 What was the main purpose of the money received?

Information [Type= discrete] [Format= numeric] [Range= 1-96] [Missing=*]

Statistics [NW/ W] [Valid=582 /-] [Invalid=4198 /-] [Mean=6.07216494845361 /-] [StDev=20.626043772563 /-]

Literal Question What was the main purpose of the money received?

Value Label Cases Percentage

1 Household expenses (e.g. food, rent, clothing..) 426 8.91%

2 Education 83 1.73%

3 Health 32 0.66%

4 Ceremony 2 0.04%

5 Land Purchase 6 0.12%

6 Business startup/expansion 4 0.08%

96 Other (specify) 29 0.6%

NA 4198 87.82%

# RM6_oth: RM6 Others Specify

Information [Type= discrete] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

Literal Question What was the main purpose of the money received?

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- Other (specify)

Value Label Cases Percentage

4751 99.39%

Agricultural inputs

1 0.02%

Agriculture 1 0.02%

Allowance for councillors meetings

1 0.02%

building 1 0.02%

Building his house

1 0.02%

court case 1 0.02%

farming 1 0.02%

Household expenses for a South Sudanes household he takes care of

1 0.02%

Livestock farming and crop farming

1 0.02%

old age benefits

1 0.02%

OLD AGE BENEFITS

1 0.02%

other personal neccesities that we havnt got in ratios

1 0.02%

Paying debts

1 0.02%

personal errands

1 0.02%

Personal expenses

1 0.02%

personal use 3 0.06%

salary 1 0.02%

salary/wages

1 0.02%

to buy a phone

1 0.02%

To buy eucalyptus trees for the friend

1 0.02%

transportation money

1 0.02%

up keep 3 0.06%

UP KEEPING

1 0.02%

VSLA 2 0.04%

# batch_num: Batch Number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=113.559414225941 /-] [StDev=64.7951495837087 /-]

Literal Question Batch Sequence Number

# s1aq9: Sample number

Information [Type= discrete] [Format= numeric] [Range= 1-10] [Missing=*]

Statistics [NW/ W] [Valid=4780 /-] [Invalid=0 /-] [Mean=5.48619246861925 /-] [StDev=2.8814219269628 /-]

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Literal Question SAMPLE NO.

Value Label Cases Percentage

1 486 10.16%

2 458 9.58%

3 502 10.5%

4 502 10.5%

5 473 9.89%

6 460 9.62%

7 467 9.76%

8 463 9.68%

9 480 10.04%

10 489 10.23%

File pov_2018_share

# HHID: Household Identifier

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# ea: batch_num

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=109.979767324229 /-] [StDev=64.8251275454346 /-]

# district:

Information [Type= discrete] [Format= numeric] [Range= 102-422] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=312.994436014163 /-] [StDev=106.932857918554 /-]

Value Label Cases Percentage

102 KAMPALA 274 13.85%

113 WAKISO 69 3.49%

301 Adjumani 168 8.49%

303 Arua 165 8.34%

309 Moyo 94 4.75%

313 Yumbe 337 17.04%

319 Koboko 53 2.68%

326 Lamwo 87 4.4%

403 Hoima 166 8.39%

413 Kamwenge 160 8.09%

418 Isingiro 168 8.49%

421 Kiryandongo 108 5.46%

422 KYEGEGWA 128 6.47%

# urban: Urban

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=0.416287303995953 /-] [StDev=0.493067091054592 /-]

Value Label Cases Percentage

Nono-refugee 1154 58.37%

1 Refugee 823 41.62%

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# region: Region

Information [Type= discrete] [Format= numeric] [Range= 1-4] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=3.09205867475974 /-] [StDev=0.956875112207021 /-]

Value Label Cases Percentage

1 Central 274 13.85%

3 Northern 973 49.21%

4 Western 730 36.92%

# equiv: (sum) equiv

Information [Type= contin] [Format= numeric] [Range= 0.773800015449524-23.8840999901295] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=3.72017401890979 /-] [StDev=2.05874606296168 /-]

# hsize: (sum) hsize

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=4.9195751138088 /-] [StDev=2.73974093413629 /-]

Value Label Cases Percentage

1 198 10.01%

2 178 9%

3 271 13.7%

4 295 14.92%

5 298 15.07%

6 242 12.24%

7 174 8.8%

8 139 7.03%

9 73 3.69%

10 43 2.17%

11 35 1.77%

12 12 0.6%

13 8 0.4%

14 5 0.25%

15 2 0.1%

16 1 0.05%

18 1 0.05%

20 1 0.05%

33 1 0.05%

# poor_2018: Poverty status

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=0.262013151239251 /-] [StDev=0.439841011288821 /-]

Value Label Cases Percentage

Non-poor 1459 73.79%

1 Poor 518 26.2%

# fpoor_2018: food Poor in 2018 based on welfare variable

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=0.39099645928174 /-] [StDev=0.488097053143176 /-]

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Value Label Cases Percentage

1204 60.9%

1 773 39.09%

# quints: Quintiles based on the national population

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=1977 /-] [Invalid=0 /-] [Mean=3.08194233687405 /-] [StDev=1.50685433622511 /-]

Value Label Cases Percentage

1 428 21.64%

2 364 18.41%

3 324 16.38%

4 340 17.19%

5 521 26.35%

# rquints: Quintiles based on the rural population

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=1154 /-] [Invalid=823 /-] [Mean=3.40814558058925 /-] [StDev=1.48270264693866 /-]

Value Label Cases Percentage

1 188 9.5%

2 166 8.39%

3 185 9.35%

4 217 10.97%

5 398 20.13%

NA 823 41.62%

# uquints: Quintiles based on the urban population

Information [Type= discrete] [Format= numeric] [Range= 1-5] [Missing=*]

Statistics [NW/ W] [Valid=823 /-] [Invalid=1154 /-] [Mean=3.25273390036452 /-] [StDev=1.44881499892992 /-]

Value Label Cases Percentage

1 132 6.67%

2 152 7.68%

3 152 7.68%

4 150 7.58%

5 237 11.98%

NA 1154 58.37%

File weights

# HHID: Household ID

Information [Type= contin] [Format= character] [Range= null-null] [Missing=*]

Statistics [NW/ W] [Valid=10138 /-] [Invalid=0 /-] [Mean=null /-] [StDev=null /-]

# batch_num: Batch number

Information [Type= contin] [Format= numeric] [Range= 1-225] [Missing=*]

Statistics [NW/ W] [Valid=10138 /-] [Invalid=0 /-] [Mean=106.363977115802 /-] [StDev=64.1413543643296 /-]

# weight: Household weight

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File weights

Information [Type= contin] [Format= numeric] [Range= 24.6100006103516-1959.44116210938] [Missing=*]

Statistics [NW/ W] [Valid=10138 /-] [Invalid=0 /-] [Mean=518.112769053706 /-] [StDev=458.659593754092 /-]

# HHSIZE: Number of regular and usual HH members

Information [Type= discrete] [Format= numeric] [Range= 1-33] [Missing=*]

Statistics [NW/ W] [Valid=10138 /-] [Invalid=0 /-] [Mean=6.68534227658315 /-] [StDev=3.27365300113133 /-]

Value Label Cases Percentage

1 192 1.89%

2 340 3.35%

3 759 7.48%

4 1116 11%

5 1470 14.49%

6 1494 14.73%

7 1302 12.84%

8 1160 11.44%

9 801 7.9%

10 430 4.24%

11 484 4.77%

12 216 2.13%

13 143 1.41%

14 112 1.1%

15 30 0.29%

16 16 0.15%

18 18 0.17%

22 22 0.21%

33 33 0.32%

# REFUGEE: Is refugee, using s1aq15

Information [Type= discrete] [Format= numeric] [Range= 0-1] [Missing=*]

Statistics [NW/ W] [Valid=10138 /-] [Invalid=0 /-] [Mean=0.457585322548826 /-] [StDev=0.498222319648959 /-]

Value Label Cases Percentage

Non-refugee 5499 54.24%

1 Refugee 4639 45.75%

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