Chart and table of population level and growth rate for the Kampala, Uganda metro area from 1950 to 2025.

This statistic shows the total population of Uganda from 2014 to 2024 by gender. In 2024, Uganda's female population amounted to approximately 25.21 million, while the male population amounted to approximately 24.81 million inhabitants.

Comprehensive population and demographic data for Kampala Village

Comprehensive socio-economic dataset for Uganda including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Abstract

The 2016 Uganda Demographic and Health Survey (2016 UDHS) was implemented by the Uganda Bureau of Statistics. The survey sample was designed to provide estimates of population and health indicators including fertility and child mortality rates for the country as a whole, for the urban and rural areas separately, and for each of the 15 regions in Uganda (South Central, North Central, Busoga, Kampala, Lango, Acholi, Tooro, Bunyoro, Bukedi, Bugisu, Karamoja, Teso, Kigezi, Ankole, and West Nile).

The primary objective of the 2016 UDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the 2016 UDHS collected information on: • Key demographic indicators, particularly fertility and under-5, adult, and maternal mortality rates • Direct and indirect factors that determine levels of and trends in fertility and child mortality • Contraceptive knowledge and practice • Key aspects of maternal and child health, including immunisation coverage among children, prevalence and treatment of diarrhoea and other diseases among children under age 5, and maternity care indicators such as antenatal visits and assistance at delivery • Child feeding practices, including breastfeeding, and anthropometric measures to assess the nutritional status of women, men, and children • Knowledge and attitudes of women and men about sexually transmitted infections (STIs) and HIV/AIDS, potential exposure to the risk of HIV infection (risk behaviours and condom use), and coverage of HIV testing and counselling (HTC) and other key HIV/AIDS programmes • Anaemia in women, men, and children • Malaria prevalence in children as a follow-up to the 2014-15 Uganda Malaria Indicator Survey • Vitamin A deficiency (VAD) in children • Key education indicators, including school attendance ratios, level of educational attainment, and literacy levels • The extent of disability • Early childhood development • The extent of gender-based violence

The information collected through the 2016 UDHS is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving the health of the country’s population.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15-54

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame used for the 2016 UDHS is the frame of the Uganda National Population and Housing Census (NPHC), conducted in 2014; the sampling frame was provided by the Uganda Bureau of Statistics. The census frame is a complete list of all census enumeration areas (EAs) created for the 2014 NPHC. In Uganda, an EA is a geographic area that covers an average of 130 households. The sampling frame contains information about EA location, type of residence (urban or rural), and the estimated number of residential households.

The 2016 UDHS sample was stratified and selected in two stages. In the first stage, 697 EAs were selected from the 2014 Uganda NPHC: 162 EAs in urban areas and 535 in rural areas. One cluster from Acholi subregion was eliminated because of land disputes. Households constituted the second stage of sampling.

For further details on sample design, see Appendix A of the final report.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

All electronic data files for the 2016 UDHS were transferred via IFSS to the UBOS central office in Kampala, where they were stored on a password-protected computer. The data processing operation included registering and checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning included structure and consistency checks to ensure completeness of work in the field. The central office also conducted secondary editing, which required resolution of computer-identified inconsistencies and coding of open-ended questions. The data were processed by four staff (two programmers and two data editors) who took part in the main fieldwork training. They were supervised by three senior staff from UBOS. Data editing was accomplished with CSPro software. Secondary editing and data processing were initiated in August 2016 and completed in January 2017.

Response rate

A total of 20,791 households were selected for the sample, of which 19,938 were occupied. Of the occupied households, 19,588 were successfully interviewed, which yielded a response rate of 98%.

In the interviewed households, 19,088 eligible women were identified for individual interviews. Interviews were completed with 18,506 women, yielding a response rate of 97%. In the subsample of households selected for the male survey, 5,676 eligible men were identified and 5,336 were successfully interviewed, yielding a response rate of 94%. Response rates were higher in rural than in urban areas, with the ruralurban difference being more pronounced among men (95% and 90%, respectively) than among women (98% and 95%, respectively).

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: nonsampling errors and sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2016 Uganda Demographic and Health Survey (UDHS) to minimise this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2016 UDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2016 UDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS, using programs developed by ICF. These programs use the Taylor linearisation method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in Appendix B of the survey final report.

Data appraisal

Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women - Age distribution of eligible and interviewed men - Completeness of reporting - Births by calendar years - Reporting of age at death in days - Reporting of age at death in months - Completeness of information on siblings - Sibship size and sex ratio of siblings - Pregnancy-related mortality trends

See details of the data quality tables in Appendix C of the survey final report.

This statistic shows the age structure in Uganda from 2014 to 2024. In 2024, about 43.54 percent of Uganda's total population were aged 0 to 14 years, 54.27 percent were aged 15 to 64 years and 2.19 percent were 65 years old and older.

Abstract

In order to support the development of an economic development strategy for the Greater Kampala metro region, an informal sector survey was undertaken between June 2016 and June 2017 to provide policy makers with analytical information on the prominent sectors within the city. The survey was designed to produce representative estimates for key indicators of the greater Kampala as a whole. The informal sector module of the National Manpower Survey (NMPS) implemented by UBOS was extended to include questions on household based enterprises. The module focuses on skill levels, remuneration, training and working conditions of those in the informal sector.

Geographic coverage

Greater Kampala

Analysis unit

Household Individual Household based enterprises

Universe

The survey targeted households with enterprise and non-household enterprise identified within the enumeration areas. These were identified during a listing operation undertaken prior to the start of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey interviewed 2,243 informal businesses, randomly drawn based on a two-stage stratified sample.

The sampling frame used for informal sector 2016 is the frame for the Uganda Population and Housing Census which was conducted on August 2014 (PHC 2014), provided by the Uganda Bureau of Statistics (UBOS). The sampling frame is a complete list of census Enumeration Areas (EA) created for the census covering the whole country, consisting of 80182 EAs. An EA is a natural village in rural areas and a city block in urban areas. Uganda is divided into 112 administrative districts, each districts is sub-divided into subdistricts, and each sub-district into parish, and each parish into villages. The frame file contains the administrative belongings for each EA and number of households at the time of the census. Each EA has also a designated residence type, urban or rural. Following are the definition of the geo-regions and the study domains.

The sample for the Uganda informal sector survey is designed to provide indicator such as employment, gross output estimates for the greater Kampala. In order to increase the efficiency of the sample design, the sampling frame will be divided into three strata which are as homogeneous as possible. The first level of stratification generally corresponds to the geographic domains of analysis that is Kampala, Wakiso and Mukono.

For more details on Sampling Procedure and Sample Allocation, Sample size determination, please refer to the Methodology document provided under the Related Materials tab.

Mode of data collection

Computer Assisted Personal Interview [capi]

This dataset comprises: Data on sanitation in Kampala from the Kampala Capital City Authority (KCCA) Data on wastewater treatment in Kampala from the National Water and Sewerage Corporation (NWSC). Until Bugolobi is sketched using the sketcher tool, values for Lubigi are used for the Bugolobi treatment plant. Data on population, urban population and fraction children younger than 5 years of age from ... Data on disease incidence, shedding rates and shedding duration for rotavirus from the literature. Gridded population data from Landscan (https://landscan.ornl.gov/) 2014 cropped to Kampala and diverted into urban and rural population, using the urban fractions for the Uganda districts. A gridded isoraster that uses GADM (gadm.org) 3rd level of political boundaries to determine in which division a grid is located. The isoraster codes correspond to the iso codes in the Input_file for the Kampala divisions.

countries capital city Kampala. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

Abstract

The 2011 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, breastfeeding practices, and awareness and use of family planning methods. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of anaemia and vitamin A deficiency.

The 2011 UDHS is a follow-up to the 1988-1989, 1995, 2000-2001, and 2006 UDHS surveys, which were implemented by the Statistics Department of Ministry of Finance and Planning, and later by the Uganda Bureau of Statistics (UBOS). The specific objectives of the 2011 UDHS were as follows: - To provide data at the national and subnational level that would allow the calculation of demographic rates, particularly fertility and infant mortality rates - To analyse the direct and indirect factors that determine the level of and trends in fertility and mortality - To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region - To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use - To assess the nutritional status of children under age 5 and women by means of anthropometric measurements (weight and height), and to assess child feeding practices - To collect data on family health, including antenatal visits, assistance at delivery, breastfeeding, immunizations, and prevalence and treatment of diarrhoea and other diseases among children under age 5 - To measure vitamin A deficiency in women and children, and to measure anaemia in women, men, and children - To measure key education indicators, including school attendance ratios and primary school grade repetition and dropout rates - To collect information on the extent of disability - To collect information on the extent of gender-based violence

This information is essential for informed policy-making and planning, monitoring, and evaluation of health programmes in general and reproductive health programmes in particular, at both the national and regional levels. A long-term objective of the survey was to strengthen the technical capacity of the National Statistics Office to plan, conduct, process, and analyse data from complex national population and health surveys.

The 2011 UDHS provides national and regional estimates on population and health that are comparable to data collected in Uganda’s four previous DHS surveys and similar surveys in other developing countries. Data collected in the 2011 UDHS add to the large and growing international database of demographic and health indicators.

Geographic coverage

National

Analysis unit

• Household
• Women age 15-49
• Men age 15-54
• Children under five

Kind of data

Sample survey data

Sampling procedure

Sample Frame The sampling frame used for the 2011 UDHS is the 2002 Population Census provided by the Uganda Bureau of Statistics (UBOS). The UBOS has an electronic file consisting of 48,715 Enumeration Areas (EAs) created for the 2002 Population and Housing Census. An EA is a geographic area consisting of a convenient number of dwelling units that serve as counting units for the census.

Sample Design The sample for the 2011 UDHS was designed to provide population and health indicator estimates for the country as a whole and for urban and rural areas separately. A representative sample of 10,086 households was selected for the 2011 UDHS. The sample was selected in two stages. In the first stage, 404 enumeration areas (EAs) were selected from among a list of clusters sampled for the 2009/10 Uganda National Household Survey (2010 UNHS). This matching of samples was done to allow linking of the 2011 UDHS health indicators to poverty data from the 2010 UNHS. The clusters in the UNHS were selected from the 2002 Population Census sample frame.

In the second stage of sampling, households in each cluster were selected from a complete listing of households, which was updated prior to the survey. Households were purposively selected from those listed. All households in the 2010 UNHS that were in the 404 EAs were included in the UDHS sample.

All women age 15-49 who were either permanent residents of the households or visitors who slept in the households the night before the survey were eligible to be interviewed. In addition, in a subsample of one-third of households selected for the survey, all men age 15-54 were eligible to be interviewed if they were either permanent residents or visitors who slept in the household on the night before the survey. An additional sample was selected for administration of the Maternal Mortality Module.

Note: See Appendix A (in final survey report) for the details of the sample design.

Mode of data collection

Face-to-face

Research instrument

Four types of questionnaires were used in the 2011 UDHS: the Household Questionnaire, the Woman’s Questionnaire, the Maternal Mortality Questionnaire, and the Man’s Questionnaire. These questionnaires were adapted from model survey instruments developed by ICF for the MEASURE DHS project and by UNICEF for the Multiple Indicator Cluster Survey (MICS) project. The intent was to reflect the population and health issues relevant to Uganda. Questionnaires were discussed at a series of meetings with various stakeholders, ranging from government ministries and agencies to nongovernmental organizations (NGOs) and development partners. The questionnaires were translated into seven major languages: Ateso, Ngakarimojong, Luganda, Lugbara, Luo, Runyankole-Rukiga, and Runyoro-Rutoro.

The Household Questionnaire was used to list all the usual members and visitors who spent the previous night in the selected households. Basic information was collected on the characteristics of each person listed, including his or her age, sex, education, relationship to the head of the household, and disability status. For children under age 18, survival status of the parents was determined. Data on the age and sex of household members were used to identify women and men eligible for an individual interview. In addition, the Household Questionnaire collected information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, ownership of various durable goods, and ownership and use of mosquito bednets.

The Woman’s Questionnaire was used to collect information from all eligible women age 15-49. The eligible women were asked questions on the following topics: - Background characteristics (age, education, media exposure, etc.) - Birth history and childhood mortality - Knowledge and use of family planning methods - Fertility preferences - Antenatal, delivery, and postnatal care - Breastfeeding and infant feeding practices - Vaccinations and childhood illnesses - Marriage and sexual activity - Woman’s work and husband’s background characteristics - Awareness and behaviour regarding AIDS and other sexually transmitted infections (STIs) - Adult mortality, including maternal mortality - Knowledge of tuberculosis and other health issues - Gender-based violence

The Maternal Mortality Questionnaire was administered to all eligible women age 15-49 in 35 additional households in 394 out of 404 EAs. It collected data on maternal mortality using the Sibling Survival Module (commonly referred to as the ‘Maternal Mortality Module’).

The Man’s Questionnaire was administered to all eligible men age 15-54 years in every third household in the 2011 UDHS sample. The Man’s Questionnaire collected information similar to that in the Woman’s Questionnaire but was shorter because it did not contain a detailed reproductive history or questions on maternal and child health.

Cleaning operations

Questionnaire data were entered in the field by the field editors on each team and the files were periodically sent to the UBOS office by internet. All the paper questionnaires were also returned to UBOS headquarters in Kampala for data processing, which consisted of office editing, coding of open-ended questions, a second data entry, and finally, editing computer-identified errors. The data were processed by a team of eight data entry operators, two office editors, and one data entry supervisor. Data entry and editing were accomplished using CSPro software. The processing of data was initiated in August 2011 and completed in January 2012.

Response rate

A total of 10,086 households were selected for the sample, of which 9,480 were found to be occupied during data collection. Of these, 9,033 households were successfully interviewed, giving a household response rate of 95 percent.

Of the 9,247 eligible women identified in the selected households, interviews were completed with 8,674 women, yielding a response rate of 94 percent for women.

Of the 2,573 eligible men identified in the selected subsample of households for men, 2,295 were successfully interviewed, yielding a response rate of 89 percent for men.

Response rates were higher in rural than in urban areas, with the rural-urban difference being more pronounced among men (92 and 82 percent, respectively) than among women (95 and 91 percent, respectively).

Note: See summarized response rates by residence

Description: The data shows the total number of births among adolescents in the last 12 months, the number of women aged 10-19 years and the adolescent birth rate per 1,000 women in Uganda. According to the data, Bunyoro at 40.1% has the highest percentage of adolescent birth rate per 1,000 women in Uganda followed by Lango at 39.7%. Kampala capital city at 15.1% ranks the lowest. Most recent changes: The dataset was last updated on 2024. Languages: EN Source: This data was obtained from the National Housing and Population Census report published by the Uganda Bureau of Statistics. For more information visit https://www.ubos.org/

Abstract

The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 7,246 women age 15-49 and 1,962 men age 15-54. The main purpose of the 2000-2001 UDHS is to provide policy-makers and programme managers with detailed information on fertility; family planning; childhood and adult mortality; maternal and child health and nutrition; and knowledge of, attitudes about, and practices related to HIV/AIDS. The 2000-2001 UDHS is the third national sample survey of its kind to be undertaken in Uganda. The first survey was implemented in 1988-1989 and was followed by the 1995 UDHS. Caution needs to be exercised when analysing trends using the three UDHS data sets because of some differences in geographic coverage.

The 2000-2001 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of haemoglobin and vitamin A in the blood.

The 2000-2001 UDHS is a follow-up to the 1988-1989 and 1995 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS, previously the Department of Statistics). The 2000-2001 UDHS is significantly expanded in scope but also provides updated estimates of basic demographic and health indicators covered in the earlier surveys.

The specific objectives of the 2000-2001 UDHS are as follows: - To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates - To analyse the direct and indirect factors that determine the level and trends in fertility and mortality - To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region - To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use - To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices - To collect data on family health, including immunisations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding - To measure levels of haemoglobin and vitamin A in the blood of women and children - To collect information on the extent of child labour.

Geographic coverage

The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey. But it was not possible to cover all 45 districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then 45 districts in the country, excluding the districts of Kasese and Bundibugyo in the Western Region and Gulu and Kitgum in the Northern Region. These districts cover approximately 5 percent of the total population.

Analysis unit

• Household
• Women age 15-49
• Men age 15-54
• Children under five

Universe

The population covered by the 2000 UDHS is defined as the universe of all women age 15-49 in Uganda and all men age 15-54.

Kind of data

Sample survey data

Sampling procedure

The sample was drawn through a two-stage design. The first-stage sample frame for this survey is the list of enumeration areas (EAs) compiled from the 1991 Population Census. In this frame, the EAs are grouped by parish within a subcounty, by subcounty within a county, and by county within a district. A total of 298 EAs (102 in urban areas and 196 in rural areas) were selected. Urban areas and districts included in the Delivery of Improved Services for Health (DISH) project and the Community Reproductive Health Project (CREHP) were oversampled in order to produce estimates for these segments of the population.

Within each selected EA, a complete household listing was done to provide the basis for the second-stage sampling. The number of households to be selected in each sampled EA was allocated proportionally to the number of households in the EA.

It was not possible to cover all districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then 45 districts in the country,1 excluding the districts of Kasese and Bundibugyo in the Western Region and Gulu and Kitgum in the Northern Region. These districts cover approximately 5 percent of the total population.

The sample for the 2000-2001 UDHS was aimed at providing reliable estimates of important indicators for the population of Uganda at the national level (less the excluded districts), for urban and rural areas, and for each of the four regions in Uganda defined as:

• Central: Kalangala, Kampala, Kiboga, Luwero, Masaka, Mpigi, Mubende, Mukono, Sembabule, Nakasongola, and Rakai
• Eastern: Bugiri, Busia, Iganga, Jinja, Kamuli, Kapchorwa, Katakwi, Kumi, Mbale, Pallisa, Soroti, and Tororo
• Northern: Adjumani, Apac, Arua, Kotido, Lira, Moyo, Moroto, and Nebbi
• Western: Bushenyi, Hoima, Kabale, Kabarole, Kibaale, Kisoro, Masindi, Mbarara, Ntungamo, and Rukungiri.

The sample was also designed to generate estimates of contraceptive prevalence rates for the districts in the DISH project funded by the United States Agency for International Development (USAID) and districts in the CREHP project. These districts are grouped in six subdomains, namely, the following: - Group I: Mbarara and Ntungamo
- Group II: Masaka, Rakai, and Sembabule
- Group III: Luwero, Masindi, and Nakasongola
- Group IV: Jinja and Kamuli
- Group V: Kampala
CREHP districts:
DISH districts: Kabale, Kisoro, and Rukungiri.

In each group, a minimum of 500 completed interviews with women was targeted to allow for separate estimates. Consequently, data for Kampala District can be presented separately because it has more than the specified minimum number of completed interviews.

The 2000-2001 UDHS covered the same EAs as were covered by the 1995 UDHS. However, a new list of households within the EA was compiled and the sample households were not necessarily the same as those selected in 1995. In the case of the CREHP districts (Kabale, Kisoro and Rukungiri), five extra EAs were selected to generate a sample size sufficient to allow independent estimates. Because the 1995 and 2000-2001 UDHS did not cover the same geographical areas, the two surveys are not exactly comparable.

Details of the UDHS sample design are provided in Appendix A and estimations of sampling errors are included in Appendix B of the Final report.

Mode of data collection

Face-to-face

Research instrument

Three questionnaires were used for the 2000-2001 UDHS, namely, a) the Household Questionnaire, b) the Women's Questionnaire, and c) the Men's Questionnaire. The contents of these questionnaires were based on the MEASURE DHS+ Model “B” Questionnaire, which was developed for use in countries with a low level of contraceptive use. In consultation with technical institutions and local organisations, UBOS modified these questionnaires to reflect relevant issues in population, family planning, and other health issues in Uganda. The revised questionnaires were translated from English into six major languages, namely, Ateso, Luganda, Lugbara, Luo, Runyankole/Rukiga, and Runyoro/Rutoro.

The questionnaires were pretested prior to their finalisation. The pretest training took place from June 14 to July 8, 2000. For this exercise, seven women and seven men were trained to be interviewers, forming seven teams of one woman and one man each. Each team was assigned to test the questionnaires in one of the seven language groups (including English) into which the questionnaires had been translated. Three nurses were recruited to participate in the anemia testing exercise as health technicians. The pretest fieldwork was conducted during a one-week period (July 10-16, 2000).

a) The Household Questionnaire was used to list all the usual members and visitors in selected households. Some basic information was collected on the characteristics of each person listed, including his or her age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. In addition, the Household Questionnaire collected information on characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, and ownership of various durable goods. It also included questions that were designed to assess the extent of child labour and that were used to record the height and weight and the hemoglobin level of women 15-49 and children under the age of five. In households selected for the male survey, the hemoglobin level of men eligible for the individual interview was also recorded.

b) The Women's Questionnaire was used to collect information from all women age 15-49. These women were asked questions on topics related to their background, childbearing experience and preferences, marriage and sexual activity, employment, maternal and child care, and awareness and behaviour

Abstract

The Uganda Demographic and Health Survey (UDHS) was conducted by the Ministry of Health in 24 districts between September 1988 and February 1989. The sample covered 4730 women aged 15-49. Nine northern districts were not surveyed due to security reasons. The purpose of the survey was to provide planners and policymakers with baseline information regarding fertility, family planning, and maternal and child health. The survey data were also needed by UNFPA and UNICEF- Kampala for planning and evaluation of current projects in Uganda.

The primary objective of the UDHS was to provide data on fertility, family planning, childhood mortality and basic indicators of maternal and child health. Additional information was collected on educational level, literacy, sources of household water and housing conditions. The available demographic data were incomplete and hardly any recent information concerning family planning or other health and social indicators existed at the national level.

A more specific objective was to provide baseline data for the South West region and the area in Central region known as the Luwero Triangle, where the Uganda government and UNICEF are currently supporting a primary health care project. In order to effectively plan strategies and to evaluate progress in meeting the project goals and objectives, there was a need to collect data on the health of the target population.

Another important goal of UDHS was to enhance the skills of those participating in the project so that they could conduct high-quality surveys in the future. Finally, the contribution of Ugandan data to an expanding international data set was an objective of the UDHS.

SUMMARY OF FINDINGS

The UDHS data indicate that fertility is high in Uganda, with women having an average of seven births by the time they reach the end of their childbearing years. Overall, fertility in Uganda has remained the same, that is, just over seven children per woman during the last 15 years. Women in urban areas, especially Kampala, have fewer children than women in rural areas. A significant finding is that fertility is linked to education: women with higher education have an average of 5 births, compared with 7 births for women with primary education. Childbearing begins at an early age, with 60 percent of Ugandan women having their first birth before the age of 20. Less than 3 percent of women have their first birth at age 25 or older.

A major factor contributing to high fertility is age at first marriage; 54 percent of women marry before they reach 18 years of age and only 2 percent remain unmarried throughout their entire life. However, with increasing levels of education among women, there is evidence of a trend toward later marriage. The median age at first union has risen from 17 for older women to 18 for those age 20-24. Urban women marry 2 years later on average than rural women, while women with middle and higher education marry 4 years later than women with no education. Polygyny is common in Uganda, with 33 percent of currently married women reporting that their husband has other wives. The practice declines with higher levels of education.

Breastfeeding and postpartum abstinence provide some protection from pregnancy after the birth of a child. In Uganda, babies are breastfed for an average of 19 months and postpartum amenorrhoea lasts an average of 13 months. However, sexual abstinence after a birth is short, with an average duration of only 4 months. UDHS data show a decline in duration of breastfeeding and postpartum abstinence, especially among younger, urban, and educated women.

The low level of contraceptive use in Uganda is one of the leading factors contributing to high fertility, as evidenced by the UDHS data. Although 84 percent of currently married Ugandan women know at least one contraceptive method and 77 percent know of a source for a contraceptive method, only 22 percent have ever used a method; and only 5 percent are currently using a method. Low rates of use are due partially to the desire of women to have many children. However, access to family planning services may also be a factor since most clinics are in urban areas, while 89 percent of women live in rural areas.

Among currently married women using contraception, periodic abstinence is the most common method used (1.6 percent), followed by pill (1.1 percent) and female sterilisation (0.8 percen0. Contraceptive use is higher among women with more children and women who reside in urban areas, especially Kampala. There are strong differentials in family planning use by education level. The level of use among women with higher education is eighteen times the rate for women with no education. Forty-two percent of users of modern methods obtained their method from government hospitals, while 33 percent reported Family Planning Association of Uganda (FPAU) clinics as the source. Ten percent of users rely on private sources such as private doctors and clinics. The most common reasons for nonuse of contraception cited by women who are exposed to the risk of pregnancy, but do not want to get pregnant immediately are: fear of side effects, prohibition by religion, lack of knowledge, and disapproval by parmer.

Despite the low level of contraceptive use in Uganda, the UDHS indicates that the potential need for family planning is great. Although 39 percent of the currently married women want another child soon (within 2 years), 33 percent want to space their pregnancies for at least two years and another 19 percent want no more children. This means that 52 percent of currently married women in the surveyed area are potentially in need of family planning services either to limit or to space their births. Furthermore, 35 percent of the women who had a birth in the 12 months prior to the survey indicated that their last birth was either unwanted or mistimed.

UDHS data indicate that infant and childhood mortality remain high. For every thousand live births, 100 children die before reaching their first birthday and 180 children die before reaching age five. While these rates indicate high levels of mortality, there is some evidence that rates have declined in the five years before the survey. Forty-four percent of children under five with health cards have been fully immunised against the major vaccine-preventable diseases. This percentage is higher if children without health cards who have been immunised are included.

UDHS data further indicated high levels of prevalence of certain illnesses. Of children under five, 24 percent had diarrhea in the two weeks before the survey. Forty-one percent of children under five were reported to have had a fever in the previous four weeks and 22 percent had an episode of severe cough with difficult or rapid breathing in the four weeks preceding the interview. Various types of treatment including antibiotics and antimalarials were used to treat the illnesses.

The nutritional status of children in Uganda was assessed from UDHS data. Overall, 45 percent of the children age 0-60 months were found to be stunted, that is, two or more standard deviations below the mean reference population for height-for-age. These children are defined as chronically undernourished.

Geographic coverage

The Uganda Demographic and Health Survey (UDHS) was conductedin 24 districts. Nine northern districts were not surveyed due to security reasons.

Analysis unit

• Household
• Women age 15-49

Universe

The population covered by the 1988 UDHS is defined as the universe of all women age 15-49 in Uganda and all men age 15-54 living in the household. But due to security problems at the time of sample selection, 9 districts, containing an estimated 20 percent of the country's population, were excluded from the sample frame

Kind of data

Sample survey data

Sampling procedure

The UDHS used a stratified, weighted probability sample of women aged 15-49 selected from 206 clusters. Due to security problems at the time of sample selection, 9 districts, containing an estimated 20 percent of the country's population, were excluded from the sample frame. Primary sampling units in rural areas were sub-parishes, which, in the absence of a more reliable sampling frame, were selected with a probability proportional to the number of registered taxpayers in the sub-parish. Teams visited each selected sub-parish and listed all the households by name of the household head. Individual households were then selected for interview from this list.

Because Ugandans often pay taxes in rural areas or in their place of work instead of their place of residence, it was not possible to use taxpayer rolls as a sampling frame in urban areas. Consequently, a complete list of all administrative urban areas known as Resistance Council Ones (RCls) was compiled, and a sampling frame was created by systematically selecting 200 of these units with equal probability. The households in these RCls were listed, and 50 RCls were selected with probability proportional to size. Finally, 20 households were then systematically selected in each of the 50 RCls for a total of 1,000 urban households.

SAMPLE DESIGN

The sample used for the Uganda Demographic and Health Survey was a stratified, weighted probability sample of women aged 15-49 selected from 206 clusters. Due to security problems at the time of sample selection, 9 of the country's 34 districts, containing an estimated 20 percent of the population, were excluded from the sample frame. Primary sampling units in rural areas were sub-parishes, which, in the absence of a more reliable sampling frame, were selected with a probability proportional to the number of registered taxpayers in the sup-parish.

The South West region and

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.

Geographic coverage

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

Analysis unit

• Households
• Individuals
• Communities

Kind of data

Sample survey data [ssd]

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”).

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

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.

Abstract

The UNPS aims at producing annual estimates in key policy areas and at providing a platform for experimenting with and assessing of national policies and programs. Explicitly, the objectives of the UNPS include: 1. To provide information required for monitoring the National Development Strategy, of major programs such as National Agricultural Advisory Services (NAADS) and General Budget Support, and also to provide information to the compilation of the National Accounts (e.g. agricultural production); 2. To provide high quality nationally representative information on income dynamics at the household level and provide annual information on service delivery and consumption expenditure estimates to monitor poverty and service outcomes in interim years of other national survey efforts, such as the Uganda National Household Survey (UNHS), Uganda Demographic and Health Survey (UDHS) and National Service Delivery Surveys (NSDS); 3. To provide a framework for low-cost experimentation with different policy interventions to e.g. reduce teacher absenteeism, improve ante- and post-natal care, or assessing the effect of agricultural input subsidies; 4. To provide a framework for policy oriented analysis and capacity building substantiated with the UGDR and support to other research which will feed into the Annual Policy Implementation Review; and 5. To facilitate randomized impact evaluations of interventions whose effects cannot currently be readily assessed through the existing system of national household surveys.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Community

Kind of data

Sample survey data [ssd]

Sampling procedure

Starting in 2009/10, the UNPS has been set out to track and re interview 3,123 households that were distributed over 322 enumeration areas (EAs), selected out of the 783 EAs that had been visited by the Uganda National Household Survey (UNHS) in 2005/06. The UNPS EAs covered all 34 EAs visited by the UNHS 2005/06 in Kampala District, and 72 EAs (58 rural and 14 urban) in each of the (i) Central Region with the exception of Kampala District, (ii) Eastern Region, (iii) Western Region, and (iv) Northern Region.

Within each stratum, the UNPS EAs were selected from the UNHS 2005/06 EAs with equal probability, and with implicit stratification by urban/rural and district (in this order), except for the rural portions of the ten districts that were oversampled by the UNHS 2005/06. In these districts, the probabilities were deflated, to bring them back to the levels originally intended. Since IDP camps were mostly unoccupied, the extra EAs in IDP camps were not a part of the UNPS subsample. This allocation strives for reasonably reliable estimates for the rural portion of each region, and for the set of urban areas out of Kampala as a whole, as well as the best possible estimates for Kampala that can be expected from a subsample of the UNHS 2005/06. Therefore, the UNPS strata of representativeness included (i) Kampala City, (ii) Other Urban Areas, (iii) Central Rural, (iv) Eastern Rural, (v) Western Rural, and (vi) Northern Rural.

Mode of data collection

Face-to-face [f2f]

Research instrument

Four questionnaires were used to collect the survey data. 1) Household Questionnaire 2) Woman Questionnaire, 3) Agriculture Questionnaire, (administered to the subset of UNPS households engaged in agricultural activities), and 4) Community Questionnaire

This data set shows Administrative Boundary data, specifically the Division or Sub-county Boundary for Kampala as in 2014. The data is acquired from the Bureau of Statistics.

Demographic characteristics for female sex workers, crude and weighted results, Crane Survey, Kampala, Uganda, 2012 (n = 1,497).

Abstract

The 2006 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 8,531 women age 15-49 and 2,503 men age 15-54. The UDHS is the fourth comprehensive survey conducted in Uganda as part of the worldwide Demographic and Health Surveys (DHS) project. The primary purpose of the UDHS is to furnish policymakers and planners with detailed information on fertility; family planning; infant, child, adult, and maternal mortality; maternal and child health; nutrition; and knowledge of HIV/AIDS and other sexually transmitted infections. In addition, in one in three households selected for the survey, women age 15-49, men age 15-54, and children under age 5 years were weighed and their height was measured. Women, men, and children age 6-59 months in this subset of households were tested for anaemia, and women and children were tested for vitamin A deficiency. The 2006 UDHS is the first DHS survey in Uganda to cover the entire country.

The 2006 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of anaemia and vitamin A deficiency.

The 2006 UDHS is a follow-up to the 1988-1989, 1995, and 2000-2001 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS). The specific objectives of the 2006 UDHS are as follows:

• To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates
• To analyse the direct and indirect factors that determine the level and trends in fertility and mortality
• To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region
• To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use
• To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices
• To collect data on family health, including immunizations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding
• To measure vitamin A deficiency in women and children, and to measure anaemia in women, men, and children
• To measure key education indicators including school attendance ratios and primary school grade repetition and dropout rates
• To collect information on the extent of disability
• To collect information on the extent of gender-based violence.

MAIN RESULTS

• Fertility : Survey results indicate that the total fertility rate (TFR) for the country is 6.7 births per woman. The TFR in urban areas is much lower than in the rural areas (4.4 and 7.1 children, respectively). Kampala, whose TFR is 3.7, has the lowest fertility. Fertility rates in Central 1, Central 2, and Southwest regions are also lower than the national level. Removing four districts from the 2006 data that were not covered in the 20002001 UDHS, the 2006 TFR is 6.5 births per woman, compared with 6.9 from the 2000-2001 UDHS. Education and wealth have a marked effect on fertility, with uneducated mothers having about three more children on average than women with at least some secondary education and women in the lowest wealth quintile having almost twice as many children as women in the highest wealth quintile.

• Family planning : Overall, knowledge of family planning has remained consistently high in Uganda over the past five years, with 97 percent of all women and 98 percent of all men age 15-49 having heard of at least one method of contraception. Pills, injectables, and condoms are the most widely known modern methods among both women and men.

• Maternal health : Ninety-four percent of women who had a live birth in the five years preceding the survey received antenatal care from a skilled health professional for their last birth. These results are comparable to the 2000-2001 UDHS. Only 47 percent of women make four or more antenatal care visits during their entire pregnancy, an improvement from 42 percent in the 2000-2001 UDHS. The median duration of pregnancy for the first antenatal visit is 5.5 months, indicating that Ugandan women start antenatal care at a relatively late stage in pregnancy.

• Child health : Forty-six percent of children age 12-23 months have been fully vaccinated. Over nine in ten (91 percent) have received the BCG vaccination, and 68 percent have been vaccinated against measles. The coverage for the first doses of DPT and polio is relatively high (90 percent for each). However, only 64 percent go on to receive the third dose of DPT, and only 59 percent receive their third dose of polio vaccine. There are notable improvements in vaccination coverage since the 2000-2001 UDHS. The percentage of children age 12-23 months fully vaccinated at the time of the survey increased from 37 percent in 2000-2001 to 44 percent in 2006. The percentage who had received none of the six basic vaccinations decreased from 13 percent in 2000-2001 to 8 percent in 2006.

• Malaria : The 2006 UDHS gathered information on the use of mosquito nets, both treated and untreated. The data show that only 34 percent of households in Uganda own a mosquito net, with 16 percent of households owning an insecticide-treated net (ITN). Only 22 percent of children under five slept under a mosquito net on the night before the interview, while a mere 10 percent slept under an ITN.

• Breastfeeding and nutrition : In Uganda, almost all children are breastfed at some point. However, only six in ten children under the age of 6 months are exclusively breast-fed.

• HIV/AIDS AND stis : Knowledge of AIDS is very high and widespread in Uganda. In terms of HIV prevention strategies, women and men are most aware that the chances of getting the AIDS virus can be reduced by limiting sex to one uninfected partner who has no other partners (89 percent of women and 95 percent of men) or by abstaining from sexual intercourse (86 percent of women and 93 percent of men). Knowledge of condoms and the role they can play in preventing transmission of the AIDS virus is not quite as high (70 percent of women and 84 percent of men).

• Orphanhood and vulnerability : Almost one in seven children under age 18 is orphaned (15 percent), that is, one or both parents are dead. Only 3 percent of children under the age of 18 have lost both biological parents.

• Women's status and gender violence : Data for the 2006 UDHS show that women in Uganda are generally less educated than men. Although the gender gap has narrowed in recent years, 19 percent of women age 15-49 have never been to school, compared with only 5 percent of men in the same age group.

• Mortality : At current mortality levels, one in every 13 Ugandan children dies before reaching age one, while one in every seven does not survive to the fifth birthday. After removing districts not covered in the 2000-2001 UDHS from the 2006 data, findings show that infant mortality has declined from 89 deaths per 1,000 live births in the 2000-2001 UDHS to 75 in the 2006 UDHS. Under-five mortality has declined from 158 deaths per 1,000 live births to 137.

Geographic coverage

The sample of the 2006 UDHS was designed to allow separate estimates at the national level and for urban and rural areas of the country. The sample design also allowed for specific indicators, such as contraceptive use, to be calculated for each of nine sub-national regions. Portions of the northern region were oversampled in order to provide estimates for two special areas of interest: Karamoja and internally displaced persons (IDP) camps. At the time of the survey there were 56 districts. This number later increased to 80. The following shows the 80 districts divided into the regional sampling strata:

• Central 1: Kalangala, Masaka, Mpigi, Rakai, Lyantonde, Sembabule, and Wakiso
• Central 2: Kayunga, Kiboga, Luwero, Nakaseke, Mubende, Mityana, Mukono, and Nakasongola
• Kampala: Kampala
• East Central: Bugiri, Busia, Iganga, Namutumba, Jinja, Kamuli, Kaliro, and Mayuge
• Eastern: Kaberamaido, Kapchorwa, Bukwa, Katakwi, Amuria, Kumi, Bukedea, Mbale, Bududa, Manafwa, Pallisa, Budaka, Sironko, Soroti, Tororo, and Butaleja
• North: Apac, Oyam, Gulu, Amuru, Kitgum, Lira, Amolatar, Dokolo, Pader, Kotido, Abim, Kaabong, Moroto, and Nakapiripirit (Estimates for this region include both settled and IDP populations.) Karamoja area: Kotido, Abim, Kaabong, Moroto, and Nakapiripirit IDP: IDP camps in Apac, Oyam, Gulu, Amuru, Kitgum, Lira, Amolatar, Dokolo and Pader districts
• West Nile: Adjumani, Arua, Koboko, Nyadri, Nebbi, and Yumbe
• Western: Bundibugyo, Hoima, Kabarole, Kamwenge, Kasese, Kibaale, Kyenjojo, Masindi, and Buliisa
• Southwest: Bushenyi, Kabale, Kanungu, Kisoro, Mbarara, Ibanda, Isingiro, Kiruhura, Ntungamo, and Rukungiri

Analysis unit

• Household
• Women age 15-49
• Men age 15-54
• Children under five

Universe

The population covered by the 2006 UDHS is defined as the universe of alll women age 15-49 who were either permanent residents of the households in the 2006 UDHS sample or visitors present in the household on the night

Abstract

The Uganda Bureau of Statistics in collaboration with the Ministry of Gender Labour and Social development implemented a household based Urban Labour Force Survey (ULFS) in 2009. The need to have detailed and updated information on the Labour Market necessitated the undertaking of this survey. The survey was undertaken in “greater Kampala” area comprising of Kampala district and parts of Wakiso and Mukono districts. The ULFS was specifically designed to provide key indicators of the labour market such as unemployment rates, underemployment rates, informal employment, employment in the informal sector, hours of work, labour under utilization etc. During the design of the survey considerable technical assistance was received from the World Bank GDDS project.

The specific objectives of the Urban Labour Force Survey 2009 were:

(i) To determine the size, composition and distribution of the Labour Force in “greater Kampala” area;

(ii) To determine the level of unemployment, under employment, informal employment, employment in the informal sector and related labour market indicators in the survey area;

(iii) To determine the participation of special groups of the population especially women and youths in the labour force in the study area.

Geographic coverage

The survey was undertaken in “greater Kampala” area comprising of Kampala district and parts of Wakiso and Mukono districts.

Analysis unit

The Urban Labour Force Survey 2009 had the following units of analysis: individuals and households.

Universe

The survey covered all the working age population aged 14-64 years resident in the household, and all the population below and above the working age.

Kind of data

Sample survey data [ssd]

Sampling procedure

For the Urban labour force Survey, a two-stage stratified random sampling design was used. A total of 100 Enumeration Areas (EAs) was deemed sufficient to enable generate reliable estimates for both Kampala district (70 EAs) and other urban (30 EAs). A list of EAs and the corresponding number of households in each EA according to the 2002 population and housing Census was used and Enumeration Areas were selected using Probability Proportional to Size (PPS). The number of households in each EA taken as a measure of size.

The interviewers compiled an updated list of the households in the selected enumeration areas. From the household list of each EAs, 10 households were randomly selected and interviewed.

Mode of data collection

Face-to-face [f2f]

Response rate

The overall response rate was 76 percent which was good enough considering the problems of collecting data in urban areas especially Kampala. The responses in the other urban areas were higher than that of Kampala.

Abstract

The objectives of the Smallholder Household Survey in Uganda were to:

• Generate a clear picture of the smallholder sector at the national level, including household demographics, agricultural profile, and poverty status and market relationships; • Segment smallholder households in Mozambique according to the most compelling variables that emerge; • Characterize the demand for financial services in each segment, focusing on customer needs, attitudes and perceptions related to both agricultural and financial services; and, • Detail how the financial needs of each segment are currently met, with both informal and formal services, and where there may be promising opportunities to add value.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The universe for the survey consists of smallholder households defined as households with the following criteria: 1) Household with up to 5 hectares OR farmers who have less than 50 heads of cattle, 100 goats/sheep/pigs, or 1,000 chickens 2) Agriculture provides a meaningful contribution to the household livelihood, income, or consumption.

Kind of data

Sample survey data [ssd]

Sampling procedure

The CGAP smallholder household survey in Uganda is a nationally-representative survey with a target sample size of 3,000 smallholder households. The sample was designed to provide reliable survey estimates at the national level and for the following administrative four regions: Central, Eastern, Northern, and Western regions. The Central region includes central metro (i.e. four municipalities surrounding Kampala), the parishes in Kampala with poultry activity but it excludes Kampala city which is entirely urban.

(a) SAMPLING FRAME

The sampling frame for the smallholder household survey is the list of enumeration areas (EAs) created for the 2014 Uganda National Population and Housing Census. Uganda is divided into 112 districts with each district comprised of counties/municipalities. Each county/municipality consists of sub-counties/town councils with each of them being further divided into parishes/wards and villages/cells. For the 2014 population census, each village and cell were further divided into EAs. Information on the number of agricultural households at the EA level will be available in December 2015, and thus not on time for the smallholder survey. As a result, the sample allocation of the survey was based on the distribution of households per region and urban and rural according to the 2014 Census.

(b) SAMPLE ALLOCATION AND SELECTION

In order to take non-response into account, the target sample size was increased to 3,158 households assuming a household non-response rate of 5% observed in similar national households. The total sample size was first allocated to the four regions proportionally to their number of households. Within each region, the resulting sample was then distributed to urban and rural areas proportionally to their size. The sample for the smallholder survey is a stratified multistage sample. Stratification was achieved by separating each region into urban and rural areas. The urban/rural classification is based on the 2014 population census. Therefore, eight strata were created, and the sample was selected independently in each stratum. Prior to the sample selection, the sampling frame was sorted by the nine agricultural zones called Zardi (Zonal Agriculture Research Development Institute). In the first stage, 216 EAs were selected as primary sampling units with probability proportional to size, the size being the number of households in the EAs. A household listing operation was carried out in all selected EAs to identify smallholder households according to the definition used in the survey, and to provide a frame for the selection of smallholder households to be included in the sample. In the second stage, 15 smallholder households were selected in each EA with equal probability. Due to rounding, this yielded a total of 3,240 smallholder households. In each selected household, a household questionnaire was administered to the head of the household, the spouse or any knowledgeable adult household member to collect information about household characteristics. A multiple respondent questionnaire was administered to all adult members in each selected household to collect information on their agricultural activities, financial behaviours and mobile money usage. In addition, in each selected household only one household member was selected using the Kish grid and was administered the single respondent questionnaire.

The full description of the sample design can be found in the user guide for this data set.

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

During data collection, InterMedia received a weekly partial SPSS data file from the field which was analysed for quality control and used to provide timely feedback to field staff while they were still on the ground. The partial data files were also used to check and validate the structure of the data file. The full data file was also checked for completeness, inconsistencies and errors by InterMedia and corrections were made as necessary and where possible.

Sampling error estimates

The sample design for the smallholder household survey was a complex sample design featuring clustering, stratification and unequal probabilities of selection. For key survey estimates, sampling errors considering the design features were produced using either the SPSS Complex Sample module or STATA based on the Taylor series approximation method.

Data appraisal

Following the finalization of questionnaires, a script was developed using Dooblo to support data collection on smart phones. The script was thoroughly tested and validated before its use in the field.