UGA_2016_UNHS_v01_M
National Household Survey 2016-2017
Name | Country code |
---|---|
Uganda | UGA |
Socio-Economic/Monitoring Survey [hh/sems]
The 2016/2017 Uganda National Household Survey (UNHS) is the sixth in the series of national household surveys conducted by UBOS. It is a follow-up of the 1999/2000, 2002/03, 2005/06, 2009/10 and 2012/13 UNHSs. The survey collected socio-economic data required for measurement of human development and for monitoring social goals, with particular focus on the measurement of poverty and unemployment for the Sustainable Development Goals (SDGs) and the National Development Plan II (NDP II) among other policy frameworks.
Objectives :
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 as well as monitor international and national development frameworks.
The specific objectives of the survey were to:
The data collected in the 2016/17 UNHS adds to the growing national database of socio-economic indicators.
Sample survey data [ssd]
v0.1: Edited, anonymous dataset.
Three key modules were administered in the 2016/17 UNHS (the Socio-Economic, the Labour Force and the Community modules). In addition, a Market price module was administered mainly to collect prices and standard measures of quantity for the commonly consumed goods and commodities in the households. The details of each of the modules are highlighted below:
The Socio-Economic module covered all household characteristics of the sampled households. The characteristics included a complete list of household members with personal details and other general information, education attainment, health status, household consumption expenditure patterns, household incomes, financial decision making, savings and investment, credit and borrowing, housing conditions and household characteristics, ownership of household assets, use of ICT (Information and Communication Technology), welfare indicators and subjective poverty, consensual poverty and involvement in non-crop household enterprises.
The Labour Force module was used to collect information from all eligible household members aged five years and above. Questions were asked about details of currently employed persons such as characteristics of the main job/activity, existence of multiple job holders, characteristics of the secondary job for the multiple job holders, hours of work for employed persons, time-related underemployment and inadequate employment situations as well as income from employment. Questions were also asked about unemployed persons in the household as well as the household chores (care activities) in which household members engaged.
The Community module collected information about the general characteristics of the community (LC I); availability and access to community facilities and services, client satisfaction with education and health services; water and sanitation in the community, economic activities, agricultural extension services; changes in the community and community groups.
The Market price module was undertaken to provide standard equivalents for non-standard units of measure through weighing items sold in the markets. This involved visiting some markets in the sampled Enumeration Areas (EAs), taking measurements for various items sold and recording an equivalent in standard units. In cases of EAs without markets or trading centres, the market most frequently used by the residents was visited and measurements taken. Considering that the local prices and corresponding non-standard units of quantity used when selling various items vary, data was collected across regions and districts.
Over the UNHS survey years, the data collection modules have changed as a result of inclusion of new questions, adjustment of some existing questions or exclusion of some sections all together. The changes have mostly been due to the increasing demand for more data from various users as well as modification in methodology, especially in the labour and household consumption expenditure module. An adjustment worth mentioning is the change in the list of food and beverage items consumed by households 7 days prior to the survey - which increased from 73 items in 2012/13 to 144 items in 2016/17.
The survey was based on the household population and excluded the population in institutions, refugee camps, forest reserves, police and army barracks, and other special areas.
Name | Affiliation |
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Uganda Bureau of Statistics | UBOS |
Name | Affiliation | Role |
---|---|---|
United Nations Children’s Fund | United Nations | Technical and logistical assistance |
The World Bank | The World Bank | Technical support |
Name | Role |
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The Government of Uganda | Survey funding |
The 2016/17 UNHS sample was designed to allow for generation of separate estimates at the national level, for urban and rural areas and for the 15 sub-regions of Uganda. At the time of the survey there were only 112 districts. This number later increased to 122 districts. A two-stage stratified sampling design was used. At the first stage, Enumeration Areas (EAs) were grouped by districts of similar socio-economic characteristics and by rural-urban location. The EAs were then drawn using Probability Proportional to Size (PPS). At the second stage, households which are the ultimate sampling units were drawn using Systematic Random Sampling.
A total of 1,750 EAs were selected from the 2014 National Population and Housing Census (NPHC) list of EAs which constituted the Sampling Frame. The EAs were then grouped into 15 sub-regions, taking into consideration the standard errors required for estimation of poverty indicators at sub-regions and the rural-urban domains.
Of the total 17,320 households selected for the 2016-2017 UNHS sample, 15,672 households were successfully interviewed, giving a response rate of 91 percent. The response rate was higher in rural areas (93%) compared to urban areas (88%).
Start | End |
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2016-06 | 2017-06 |
Name | Affiliation |
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Uganda Bureau of Statistics | The Government of Uganda |
Training:
UBOS recruited and trained 65 field staff to serve as team supervisors and interviewers for the main survey (See Appendix IV for details). The training was conducted from 23rd May 2017 to June 2017 and lasted for a period of 14 days. The main approach of the training comprised instructions in relation to interviewing techniques and field procedures, a detailed review of the data collection modules, tests and practice using hand-held Computer Assisted Personal Interviews (CAPI) devices. The training also included classroom mock interviews and field practice in selected EAs outside of the main survey sample. Team supervisors were further trained in data quality control procedures and coordination of fieldwork activities.
Fieldwork:
A centralized approach to data collection was employed through which 13 mobile field teams grouped at the UBOS headquarters were deployed to the different sampled areas. Each team comprised one field supervisor, three or four enumerators and a driver. The field staff were recruited based on fluency of the local language spoken in the respective region of deployment while the supervisors were balanced between males and females. Prior to the deployment of fieldwork teams, ten listing teams each comprising of a team leader and two listers were constituted to update the number of households within the sampled EAs.
At the headquarters, a team of regional and senior supervisors undertook several other survey activities in line with the survey including data scrutiny, field monitoring, coordination and supervision among others. The field data collection commenced at the end of June 2016 and was completed in June 2017. Fieldwork was carried out in 12 separate trips, between which teams met at the headquarters for refresher training and debriefing sessions. During the meetings, the main issues discussed included logistical and data collection challenges which were resolved instantly.
The estimates from a sample survey are affected by two types of errors: non-sampling errors and sampling errors. Non-sampling errors usually result from mistakes made during data collection and capture and those include misunderstanding of the questions, either by the respondent or by the interviewer and by capture of wrong entries. Such errors were controlled through rigorous training of the data collectors and through field spot-checks undertaken by the supervisors at the different levels.
On the other hand, sampling errors (SE) are evaluated statistically. The 2016/17 UNHS sample is one of the many possible samples that could have been selected from the same population using the same sampling design. Sampling errors are a measure of the variability between all possible samples that would yield different results from the selected sample. Sampling errors are usually measured in terms of the standard error for a particular statistic such as the mean, percentages, etc. The Tables in Appendix III present standard errors and Coefficients of Variations (CVs) for selected indicators at national, rural urban and sub-regional levels.
Name | Affiliation |
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Uganda Bureau of Statistics | The Government of Uganda |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Uganda Bureau of Statistics. Uganda National Household Survey (UNHS) 2016-2017. Ref. UGA_2016_UNHS_v01_M. Downloaded from [url] on [date].
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.
Name | Affiliation | |
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Uganda Bureau of Statistics | The Government of Uganda | ubos@ubos.org |
DDI_UGA_2016_UNHS_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
The Sub-Saharan Team for Statistical Development | The World Bank | Documentation of the DDI |
2020-04-09
Version 0.1 (April 2020)