National Household Survey 2009-2010
Uganda, 2009 - 2010
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Apr 12, 2012
Last modified
Mar 29, 2019
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Identification
Survey ID Number
UGA_2009_UNHS_v01_M
Title
National Household Survey 2009-2010
Country
| Name | Country code |
|---|---|
| Uganda | UGA |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Abstract
The Uganda Bureau of Statistics (UBOS) has been carrying out an integrated household survey, popularly known as Uganda National Household Survey (UNHS) every other year since the late 1980s. Through the UNHS, Uganda has very rich household time series data covering over 13 years. The data have been the main source of statistical information for monitoring poverty levels, trends and related welfare issues.
The UNHS 2009/10 was undertaken from May 2009 to April 2010 and covered about 6800 households scientifically selected countrywide. The survey was comprehensive and had six modules, namely; Socio-economic, Labor Force, Informal Sector, Community, Price and Qualitative modules.
The main objective of the survey was to collect high quality and timely data on demographic, social and economic characteristics of the household population to inform/monitor international and national development frameworks.
The specific objectives of the survey were to:
1. Provide information on selected economic characteristics of the population including their economic activity status among others.
2. Meet data needs of key users such as Ministry of Finance, Planning and Economic Development; Health; Education and Sports, etc.., and other collaborating Institutions like Economic Policy Research Centre (EPRC); the Development Partners as well as the NGO community.
3. Generate and build social and economic indicators and monitor the progress made towards social and economic development goals of the country; and
4. Strengthen efforts being made in building a permanent national household survey capability at UBOS.
The UNHS 2009/10 was undertaken from May 2009 to April 2010 and covered about 6800 households scientifically selected countrywide. The survey was comprehensive and had six modules, namely; Socio-economic, Labor Force, Informal Sector, Community, Price and Qualitative modules.
The main objective of the survey was to collect high quality and timely data on demographic, social and economic characteristics of the household population to inform/monitor international and national development frameworks.
The specific objectives of the survey were to:
1. Provide information on selected economic characteristics of the population including their economic activity status among others.
2. Meet data needs of key users such as Ministry of Finance, Planning and Economic Development; Health; Education and Sports, etc.., and other collaborating Institutions like Economic Policy Research Centre (EPRC); the Development Partners as well as the NGO community.
3. Generate and build social and economic indicators and monitor the progress made towards social and economic development goals of the country; and
4. Strengthen efforts being made in building a permanent national household survey capability at UBOS.
Kind of Data
Sample survey data [ssd]
Scope
Notes
The 2009-2010 Uganda National Household Survey included the following topics:
- Household Identification Particulars
- Staff Details and Survey Time
- Household Roster
- Survival status of Parents and Migration of Household Members
- Education (all persons 5 years and above)
- Health
- Disability and Malaria Module
- Housing Conditions
- Household Assets
- Outstanding Loans in the Last 12 Months (for persons 18 years and above)
- Household Consumption Expenditure
- Food, Beverage, and Tobacco (during the last 7 days)
- Non-Durable Goods and Frequently Purchased Services (during the last 30 days)
- Semi-Durable Goods and Durable Goods and Service (during the last 365 days)
- Non-consumption Expenditure
- Incomes during the last 12 months
- Welfare Indicators
- Cultural Participation (for all members 18 years and above during the last 12 months)
- Link with Informal Sector Questionnaire
LABOR FORCE SURVEY MODULE
- Household Identification Particulars
- Staff Details and Survey Time
- Activity Status of Persons (aged 5 years and above)
- Unemployment and not in The Labor Force
- Employment and Hours of Work
- Earnings
- Last 12 Months
- Care Labor Activities
COMMUNITY SURVEY
- Identification Particulars
- Staff Details and Survey Time
- Community Access to Facilities
- Education Facilities
- Health Facilities
- Transport and Other Infrastructure
- Community Services and Other Amenities
- Market (general information)
- General Consumer Markets
- Agricultural Input Markets
- Agricultural Producer Markets
- Educational - Infrastructure
- Health Infrastructure
INFORMAL SECTOR SURVEY - AGRICULATURE (Commercial Farming only)
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - FORESTRY
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - HOTELS BARS, and RESTAURANTS
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Other Expenditure and Income
INFORMAL SECTOR SURVEY - MANUFACTURING, MINING AND QUARRYING, CONSTRUCTION
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure and Employment
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - TRADING AND SERVICES
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
- Household Identification Particulars
- Staff Details and Survey Time
- Household Roster
- Survival status of Parents and Migration of Household Members
- Education (all persons 5 years and above)
- Health
- Disability and Malaria Module
- Housing Conditions
- Household Assets
- Outstanding Loans in the Last 12 Months (for persons 18 years and above)
- Household Consumption Expenditure
- Food, Beverage, and Tobacco (during the last 7 days)
- Non-Durable Goods and Frequently Purchased Services (during the last 30 days)
- Semi-Durable Goods and Durable Goods and Service (during the last 365 days)
- Non-consumption Expenditure
- Incomes during the last 12 months
- Welfare Indicators
- Cultural Participation (for all members 18 years and above during the last 12 months)
- Link with Informal Sector Questionnaire
LABOR FORCE SURVEY MODULE
- Household Identification Particulars
- Staff Details and Survey Time
- Activity Status of Persons (aged 5 years and above)
- Unemployment and not in The Labor Force
- Employment and Hours of Work
- Earnings
- Last 12 Months
- Care Labor Activities
COMMUNITY SURVEY
- Identification Particulars
- Staff Details and Survey Time
- Community Access to Facilities
- Education Facilities
- Health Facilities
- Transport and Other Infrastructure
- Community Services and Other Amenities
- Market (general information)
- General Consumer Markets
- Agricultural Input Markets
- Agricultural Producer Markets
- Educational - Infrastructure
- Health Infrastructure
INFORMAL SECTOR SURVEY - AGRICULATURE (Commercial Farming only)
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - FORESTRY
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - HOTELS BARS, and RESTAURANTS
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Other Expenditure and Income
INFORMAL SECTOR SURVEY - MANUFACTURING, MINING AND QUARRYING, CONSTRUCTION
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- Credit and Market Information
- Capital Expenditure and Employment
- Employment
- Expenditure and Income
INFORMAL SECTOR SURVEY - TRADING AND SERVICES
- Identification Particulars
- Staff Details and Survey Time
- Activities and Products of the Business Establishment
- General Information
- General Information
- Credit and Market Information
- Capital Expenditure
- Employment
- Expenditure and Income
Coverage
Geographic Coverage
National
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics (UBOS) | Ministry of Finance Planning and Economic Development |
Sampling
Sampling Procedure
Survey Design
The UNHS 2009/10 sample was designed to allow reliable estimation of key indicators for the Uganda, rural-urban, and separately for ten sub regions. A two-stage stratified sampling design was used. At the first stage, Enumeration Areas (EAs) were grouped by districts and rural-urban location; then drawn using Probability Proportional to Size (PPS). At the second stage, households which are the Ultimate Sampling Units were drawn using Systematic Sampling.
A total of 712 EAs representing the general household population were selected using the Uganda Population and Housing Census Frame for 2002. These EAs were allocated to the 10 sub-regions with consideration of the rural and urban areas which constituted the main domains of the
sample.
Sample Size
When determining the required sample size, the degree of precision (reliability) desired for the survey estimates, the cost and operational limitations, and the efficiency of the design were taken into consideration. The UNHS 2009/10 covered a sample size of 6800 households.
The UNHS 2009/10 sample was designed to allow reliable estimation of key indicators for the Uganda, rural-urban, and separately for ten sub regions. A two-stage stratified sampling design was used. At the first stage, Enumeration Areas (EAs) were grouped by districts and rural-urban location; then drawn using Probability Proportional to Size (PPS). At the second stage, households which are the Ultimate Sampling Units were drawn using Systematic Sampling.
A total of 712 EAs representing the general household population were selected using the Uganda Population and Housing Census Frame for 2002. These EAs were allocated to the 10 sub-regions with consideration of the rural and urban areas which constituted the main domains of the
sample.
Sample Size
When determining the required sample size, the degree of precision (reliability) desired for the survey estimates, the cost and operational limitations, and the efficiency of the design were taken into consideration. The UNHS 2009/10 covered a sample size of 6800 households.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2009-05 | 2010-04 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
There are five questionnaires for the UNHS namely:
(i) Listing questionnaire
(ii) socio-economic Questionnaire
(iii) Labour Force survey questionnaire
(iv) Informal Sector Questionnaires
(v) Community Questionnaire
Note that the informal sector survey questionnaires comprise 5 sets according to activity namely:
(1) Livestock, poultry, bee-keeping, and fishing
(2) Forestry
(3) Mining, quarrying, and manufacturing
(4) Hotels, lodges, bars, restaurants and eating places
(5) Trade and services
(i) Listing questionnaire
(ii) socio-economic Questionnaire
(iii) Labour Force survey questionnaire
(iv) Informal Sector Questionnaires
(v) Community Questionnaire
Note that the informal sector survey questionnaires comprise 5 sets according to activity namely:
(1) Livestock, poultry, bee-keeping, and fishing
(2) Forestry
(3) Mining, quarrying, and manufacturing
(4) Hotels, lodges, bars, restaurants and eating places
(5) Trade and services
Data Processing
Data Editing
A system of double data entry was utilized to ensure good quality data. Questionnaires were manually edited by five office based editors who were recruited to ensure consistency of the data collected. A computer program (hot-deck scrutiny) for verification and validation was developed and operated during data processing. Range and consistency checks were included in the data-entry program. More intensive and thorough checks were also carried out using MS-ACCESS by the data processing team.
Data Appraisal
Estimates of Sampling Error
Household survey findings are usually estimates based on a sample of households selected using appropriate sample designs. Estimates are affected by two types of errors; sampling and non-sampling errors. Non-Sampling errors result from wrong interpretation of results; mistakes in recording of responses, definitional problems, improper recording of data, etc and are mainly committed during the implementation of the survey.
Sampling errors, on the other hand, arise because observations are based on only one of the many samples that could have been selected from the same population using the same design and expected size. They are a measure of the variability between all possible samples. Sampling errors are usually measured using Standard Errors (SE). SE is the square root of the variance and can be used to calculate confidence intervals for the various estimates. In addition, sometimes it is appropriate to measure the relative errors of some of the variables and the Coefficient of Variation (CV) is one such measure. It is the quotient of the SE divided by the mean of the variable of interest.
The SE and CVs were computed using STATA software and they each take into account the multi-stage nature of the survey design. The results below indicate the SE and CVs computed for the selected variables in the report. The SEs and CVs are presented for national, regional and rural-urban levels.
Note: Detailed sampling error tables are available in the 2009-2010 UNHS final report.
Sampling errors, on the other hand, arise because observations are based on only one of the many samples that could have been selected from the same population using the same design and expected size. They are a measure of the variability between all possible samples. Sampling errors are usually measured using Standard Errors (SE). SE is the square root of the variance and can be used to calculate confidence intervals for the various estimates. In addition, sometimes it is appropriate to measure the relative errors of some of the variables and the Coefficient of Variation (CV) is one such measure. It is the quotient of the SE divided by the mean of the variable of interest.
The SE and CVs were computed using STATA software and they each take into account the multi-stage nature of the survey design. The results below indicate the SE and CVs computed for the selected variables in the report. The SEs and CVs are presented for national, regional and rural-urban levels.
Note: Detailed sampling error tables are available in the 2009-2010 UNHS final report.
Access policy
Citation requirements
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
- 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 copyrights
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.
Metadata production
DDI Document ID
DDI_UGA_2009_UNHS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Ducumentation of the DDI |
Date of Metadata Production
2012-03-12
DDI Document version
Version 01: (March 2012)