Historical dataset 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.

Kampala District Population 2018
This dataset falls under the category Traffic Generating Parameters Population.
It contains the following data: Kampala District Population Statistics 2018
This dataset was scouted on as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://pearlgeoportal.com/download/1867/eyJpdiI6InNwOVhCL2h0UmpNSlFsRU5RU0RTdEE9PSIsInZhbHVlIjoiaGNyeDIrYVFERGVhekE5YkZwWlJCSW1CTUM1OG9Uc3k3QlUvaVBZNVlhUT0iLCJtYWMiOiJiNmQzMDdiZmNmNmZiMjI3ZDY5NTlkNzhhZjYyMGRlYTc1MTFjODkyN2UyNTUyNDAwZjczMTA1YTQ4MDMwMjQxIn0= URL for data access and license information. Please note: This link leads to an external resource. If you experience any issues with its availability, please try again later.

Study Overview and Population: This was a community-based study conducted in Kisugu, Wabigalo, and Bukasa parishes in Kampala, Uganda (an area of 2.2 km2 with an estimated population of 49,527) from May 2018 through December 2019. The study site consists of 37 contiguous zones; zones are the smallest standard administrative area unit used by the Uganda Bureau of Statistics, with a median size of 0.05km2 within the study area. Case definition: A TB case was defined as any individual with a positive sputum smear or GeneXpert result, sputum culture positive for Mycobacterium tuberculosis, or documented initiation of TB treatment based on clinical judgment of pulmonary tuberculosis. In this analysis, we included only individuals who were age 15 years or older and residing within the study area; zone of residence was self-reported and verified using landmarks and Google Maps. Case Detection and Enrollment: The study prospectively enrolled TB patients in two phases: a facility-based phase (May 2018-January 2019) and a community-based phase (February-December 2019). In the facility-based phase, we enrolled all consenting adult TB cases who lived in the study area and were passively identified through routine TB diagnostic services at four outpatient TB Diagnosis and Treatment Units located within the study area. In the community-based phase, we attempted to identify all prevalent TB cases in the community through a combination of passive and active case finding activities. Passive case detection continued at the four health facilities as described above.

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 providing a platform for experimenting with and assessing 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 for 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 as well as information on service delivery and consumption expenditure estimates annually; 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-natal and post-natal care, and assess the effect of subsidies on agricultural inputs among others; 4. To provide a framework for policy oriented analysis and capacity building substantiated with the UGDR and support to other research which 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.

Analysis unit

The study describes (including but not limited to): - Household - Individual - Parcel - Plot - Community

Kind of data

Sample survey data [ssd]

Sampling procedure

The UNPS is carried out over a twelve-month period (a “wave”) on a nationally representative sample of households, for the purpose of accommodating the seasonality associated with the composition of and expenditures on consumption. The survey is conducted in two visits in order to better capture agricultural outcomes associated with the two cropping seasons of the country. The UNPS therefore interviews each household twice in a year, in visits approximately six months apart. In 2009/10, the UNPS set out to track and interview 3,123 households that were distributed over 322 Enumeration Areas (EAs), selected out of 783 EAs that had been visited during the Uganda National Household Survey (UNHS) in 2005/06. The distribution of the EAs covered by the 2009/10 UNPS was such that it included all 34 EAs in Kampala District, and 72 EAs (58 rural and 14 urban) in each of the other regions i.e. Central excluding Kampala, Eastern, Western and Northern which make up the strata. Within each stratum, the EAs were selected with equal probability with implicit stratification by urban/rural and district (in this order). However, the probabilities of selection for the rural portions of ten districts that had been oversampled by the UNHS 2005/06 were adjusted accordingly. Since most IDP (Internally Displaced People) camps in the Northern region are currently unoccupied, the EAs that constituted IDP camps were not part of the UNPS sample. This allocation allows for reliable estimates at the national, rural-urban and regional levels i.e. at level of strata representativeness which includes: (i) Kampala City, (ii) Other Urban Areas, (iii) Central Rural, (iv) Eastern Rural, (v) Western Rural, and (vi) Northern Rural. In the UNPS 2010/11, the concept of Clusters instead of EAs was introduced. A cluster represents a group of households that are within a particular geographical area up to parish level. This was done due to split-off households that fell outside the selected EAs but could still be reached and interviewed if they still resided within the same parish as the selected EA. Consequently, in each subsequent survey wave, a subset of individuals was selected for tracking. The UNPS is part of the long term Census and Household Survey Program hence questionnaires and the timing of data collection are coordinated with the current surveys and census implemented by UBOS. SAMPLE REFRESH Starting with the UNPS 2013/14 (Wave 4) fieldwork, one third of the initial UNPS sample was refreshed with the intention to balance the advantages and shortcomings of panel surveys. Each new household will be visited for three consecutive waves, while baseline households will have a longer history of five or six years, given the start time of the sample refresh. This same sample was used for the UNPS 2015/16 (Wave 5) Once a steady state is reached, each household will be visited for three consecutive years, and at any given time one third of the households will be new, one third will be visited for the second time, and one third for the third (and last) time. The total sample will never be too different from a representative cross-section of the country, yet two-thirds of it will be a panel with a background of a year or two. New households were identified using the updated sample frames developed by the UBOS in 2013 as part of the preparations for the 2014 Uganda Population and Housing Census.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The UNPS had six questionnaires namely: Household Questionnaire; Woman Questionnaire; Agriculture & Livestock Questionnaire; Fisheries Questionnaire; Community Questionnaire and Market Questionnaire. A module on Biological data collection was also administered in 2019/20. Each of these questionnaires is divided into a number of sections and the number of questions in each section varies accordingly. It should be noted that in 2013/14, 2015/16, 2018/19, and 2019/20, all questionnaires were administered using the CAPI software .

The dataset results from WRI's calculation based on: 1. NATIONAL FOREST AUTHORITY (NFA). 1996. Land Cover GIS Database. Kampala, Uganda: Government of Uganda, NFA. 2. UGANDA BUREAU OF STATISTICS (UBOS). 2002b. 2002 Uganda Population and Housing Census GIS Database. Kampala, Uganda: Government of Uganda, UBOS. Data used in map 3 of ""Mapping a Better Future: How Spatial Analysis Can Benefit Wetlands and Reduce Poverty in Uganda."" from Wetlands Management Department, Ministry of Water and Environment, Uganda; Uganda Bureau of Statistics; International Livestock Research Institute; and World Resources Institute. 2009. Cautions Dataset is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, WRI cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. WRI makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Citation Please see description.

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 Uganda 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 and individual household members

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; AND 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.

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 was 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.

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 behaviors 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]

Research instrument

Building on secondary research on the smallholder sector and discussions with stakeholders, the design process for the survey instrument began. This process involved defining the end goal of the research by: • Drawing from existing survey instruments; • Considering the objectives and needs of the project; • Accounting for stakeholder interests and feedback; • Learning from the ongoing financial diaries in country; and, • Building from a series of focus groups conducted early on in the study.

Using this foundation, a framework for the survey instrument was developed to share with stakeholders and capture all the necessary elements of a smallholder household. The framework consisted of five main subject areas: (i) demographics, (ii) household economics, (iii) agricultural practices, (iv) mobile phones, and (v) financial services.

In order to capture the complexity inside smallholder households, the smallholder household survey was divided into three questionnaires: the household questionnaire, the multiple respondent questionnaire and the single respondent questionnaire. In addition to English, the questionnaires were translated into nine local languages: Lugishu, Luganda, Ateso, Lugbara, Runyakole, Lutooro, Ngakaaramojong, Langi, and Acholi.

The household questionnaire collected information on: • Basic household members’ individual characteristics (age, gender, education attainment, schooling status, relationship with the household head) • Whether each household member contributes to the household income or participates in the household’s agricultural activities. This information was later used to identify all household members eligible for the other two questionnaires.
• Household assets and dwelling characteristics

Both the Multiple and Single Respondent questionnaires collected different information on: • Agricultural practices: farm information such as size, crop types, livestock, decision-making, farming associations and markets • Household economics: employment, income, expenses, shocks, borrowing and saving habits, and investments

In addition, the Single respondent questionnaire collected information on: • Mobile phones: attitudes toward phones, usage, access, ownership, desire and importance • Financial services: attitudes towards financial products and services such as banking and mobile money, including ownership, usage, access and importance.

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

Cleaning operations

During data collection, InterMedia received a weekly partial SPSS data file from the field which was analyzed 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.

Response rate

The user guide includes household and individual response rates for the CGAP smallholder household survey in Uganda.

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 taking into account the design features were produced using either the SPSS Complex Sample module or STATA based on the Taylor series approximation method.

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]

Abstract

The UNPS aims at producing annual estimates in key policy areas; and providing a platform for experimenting with and assessing 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 for 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 as well as information on service delivery and consumption expenditure estimates annually; 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-natal and post-natal care, and assess the effect of subsidies on agricultural inputs among others;

4. To provide a framework for policy oriented analysis and capacity building substantiated with the UGDR and support to other research which 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

Analysis unit

The study describes (including but not limited to):

• Household

• Individual

• Parcel

• Plot

• Community

Kind of data

Sample survey data [ssd]

Sampling procedure

The UNPS is carried out over a twelve-month period (a “wave”) on a nationally representative sample of households, for the purpose of accommodating the seasonality associated with the composition of and expenditures on consumption. The survey is conducted in two visits in order to better capture agricultural outcomes associated with the two cropping seasons of the country. The UNPS therefore interviews each household twice in a year, in visits approximately six months apart.

In 2009/10, the UNPS set out to track and interview 3,123 households that were distributed over 322 Enumeration Areas (EAs), selected out of 783 EAs that had been visited during the Uganda National Household Survey (UNHS) in 2005/06. The distribution of the EAs covered by the 2009/10 UNPS was such that it included all 34 EAs in Kampala District, and 72 EAs (58 rural and 14 urban) in each of the other regions i.e. Central excluding Kampala, Eastern, Western and Northern which make up the strata.

Within each stratum, the EAs were selected with equal probability with implicit stratification by urban/rural and district (in this order). However, the probabilities of selection for the rural portions of ten districts that had been oversampled by the UNHS 2005/06 were adjusted accordingly. Since most IDP (Internally Displaced People) camps in the Northern region are currently unoccupied, the EAs that constituted IDP camps were not part of the UNPS sample. This allocation allows for reliable estimates at the national, rural-urban and regional levels i.e. at level of strata representativeness which includes: (i) Kampala City, (ii) Other Urban Areas, (iii) Central Rural, (iv) Eastern Rural, (v) Western Rural, and (vi) Northern Rural.

In the UNPS 2010/11, the concept of Clusters instead of EAs was introduced. A cluster represents a group of households that are within a particular geographical area up to parish level. This was done due to split-off households that fell outside the selected EAs but could still be reached and interviewed if they still resided within the same parish as the selected EA. Consequently, in each subsequent survey wave, a subset of individuals was selected for tracking.

The UNPS is part of the long term Census and Household Survey Program hence questionnaires and the timing of data collection are coordinated with the current surveys and census implemented by UBOS.

SAMPLE REFRESH

Starting with the UNPS 2013/14 (Wave 4) fieldwork, one third of the initial UNPS sample was refreshed with the intention to balance the advantages and shortcomings of panel surveys. Each new household will be visited for three consecutive waves, while baseline households will have a longer history of five or six years, given the start time of the sample refresh. This same sample was used for the UNPS 2015/16 (Wave 5)

Once a steady state is reached, each household will be visited for three consecutive years, and at any given time one third of the households will be new, one third will be visited for the second time, and one third for the third (and last) time. The total sample will never be too different from a representative cross-section of the country, yet two-thirds of it will be a panel with a background of a year or two.

New households were identified using the updated sample frames developed by the UBOS in 2013 as part of the preparations for the 2014 Uganda Population and Housing Census.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The UNPS had six questionnaires namely: Household Questionnaire; Woman Questionnaire; Agriculture & Livestock Questionnaire; Fisheries Questionnaire; Community Questionnaire and Market Questionnaire. Each of these questionnaires is divided into a number of sections and the number of questions in each section varies accordingly.

It should be noted that in 2013/14, 2015/16 and 2018/19, all questionnaires were administered using the CAPI software except the Fisheries and Market Questionnaires which were not administered.

Abstract

The 2016 Uganda Demographic and Health Survey (UDHS) was implemented by the Uganda Bureau of Statistics (UBOS). Data collection took place from 20 June to 16 December 2016. ICF provided technical assistance through The DHS Program, which is funded by the United States Agency for International Development (USAID) and offers financial support and technical assistance for population and health surveys in countries worldwide. Other agencies and organisations that facilitated the successful implementation of the survey through technical or financial support were the Government of Uganda, the United Nations Children’s Fund (UNICEF), and the United Nations Population Fund (UNFPA).

Geographic coverage

National Coverage

Analysis unit

Primary Units of Analysis:

1. Households - The basic sampling unit was households (20,880 households selected across 696 clusters/enumeration areas). The Household Questionnaire collected information about household characteristics, dwelling conditions, and listed all household members and visitors.

2. Individuals - The survey collected detailed information from: Women age 15-49 (18,506 successfully interviewed) - eligible women who were permanent residents or visitors who stayed the night before the survey Men age 15-54 - interviewed in one-third of sampled households Children under age 5 (0-59 months) - for health, nutrition, and biomarker data Children age 6-59 months - for anaemia, malaria, and vitamin A testing

3. Births/Children - For fertility analysis, including birth histories, child mortality, and maternal health care indicators

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. At the time of the NPHC, Uganda was divided administratively into 112 districts, which were grouped for this survey into 15 regions. The sample for the 2016 UDHS was designed to provide estimates of key indicators for the country as a whole, for urban and rural areas separately, and for each of the 15 regions. Estimates are also presented for three special areas: the Lake Victoria islands, the mountain districts, and greater Kampala.

The 2016 UDHS regions include the following districts: 1. South Central: Butambala, Gomba, Mpigi, Bukomansimbi, Kalangala, Kalungu, Lwengo, Lyantonde, Masaka, Rakai, Sembabule, and Wakiso 2. North Central: Buikwe, Buvuma, Kayunga, Kiboga, Kyankwanzi, Luwero, Mityana, Mubende, Mukono, Nakaseke, and Nakasongola 3. Kampala: Kampala 4. Busoga: Bugiri, Namutumba, Buyende, Iganga, Jinja, Kaliro, Kamuli, Luuka, Mayuge, and Namayingo 5. Bukedi: Budaka, Butaleja, Kibuku, Pallisa, Tororo, and Busia 6. Bugisu: Bulambuli, Kapchorwa, Kween, Bududa, Manafwa, Mbale, Sironko, and Bukwo 7. Teso: Amuria, Bukedea, Katakwi, Kumi, Ngora, Soroti, Kaberamaido, and Serere 8. Karamoja: Abim, Amudat, Kaabong, Kotido, Moroto, Nakapiripirit, and Napak 9. Lango: Alebtong, Amolatar, Dokolo, Lira, Otuke, Apac, Kole, and Oyam 10. Acholi: Agago, Amuru, Gulu, Lamwo, Pader, Kitgum, and Nwoya 11. West Nile: Adjumani, Arua, Koboko, Maracha, Moyo, Nebbi, Yumbe, and Zombo 12. Bunyoro: Buliisa, Hoima, Kibaale, Kiryandongo, and Masindi 13. Tooro: Bundibugyo, Kabarole, Kasese, Ntoroko, Kyenjojo, Kamwenge, and Kyegegwa 14. Kigezi: Kabale, Kisoro, Kanungu, and Rukungiri 15. Ankole: Buhweju, Bushenyi, Ibanda, Isingiro, Kiruhura, Mbarara, Mitooma, Ntungamo, Rubirizi, and Sheema The 2016 UDHS special areas include the following: 1. Islands: islands and shoreline areas in Kalangala, Mayuge, Buvuma, Namayingo, Rakai, Mukono, and Wakiso districts

Mountains: Bundibugyo, Kasese, Ntoroko, Bukwo, Bulambuli, Kapchorwa, Kween, Kisoro, Sironko, Mbale, and Kaabong districts ? Greater Kampala: Kampala district and urban areas in Mukono and Wakiso districts

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. A listing of households was compiled in each of the 696 accessible selected EAs from April to October 2016, with some listing overlapping with fieldwork. Maps were drawn for each of the sampled clusters and all of the listed households. The listing excluded institutional living arrangements such as army barracks, hospitals, police camps, and boarding schools. To minimise the task of household listing, each large EA (i.e., more than 300 households) selected for the 2016 UDHS was segmented. Only one segment was selected for the survey with probability proportional to segment size, and the household listing was conducted only in the selected segment. Thus, a 2016 UDHS cluster is either an EA or a segment of an EA. In total, a representative sample of 20,880 households (30 per EA or EA segment) was randomly selected for the 2016 UDHS.

The allocation of the sample EAs featured a power allocation with a small adjustment because a proportional allocation would not have met the minimum number of clusters per survey domain required for a DHS survey. The sample EAs were selected independently from each stratum using probability proportional to size. The 20,880 selected households resulted in 18,506 women successfully interviewed, with an average of 1,200 complete interviews per domain. All women age 15-49 who were either permanent residents of the selected households or visitors who stayed in the household the night before the survey were eligible to be interviewed. In one-third of the sampled households, all men age 15-54, including both usual residents and visitors who stayed in the household the night before the interview, were eligible for individual interviews. In the subsample of households selected for the male survey, anaemia testing was performed among eligible women age 15-49 and men age 15-54 who consented to being tested and among children age 6-59 months whose parents or guardians consented. In the same subsample, blood samples were collected from children age 6-59 months whose parents or guardians consented to malaria testing with rapid diagnostic test (RDT) kits and laboratory testing of vitamin A deficiency. Height and weight information was also collected from eligible women and men, as well as children age 0-59 months. In addition, a subsample of one eligible woman in two-thirds of households (those households not selected for the male survey and biomarker collection) and one eligible man in one-third of households (those households selected for the male survey and biomarker collection) was randomly selected to be asked questions about domestic violence.

Mode of data collection

QUESTIONNAIRES

Four questionnaires were used in the 2016 UDHS: the Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Uganda. In addition, information on the survey fieldworkers was collected through a selfadministered Fieldworker Questionnaire.

Input was solicited from various stakeholders representing government ministries and agencies, nongovernmental organisations, and development partners. After the preparation of the questionnaires in English, the questionnaires were then translated into eight major languages: Ateso, Ngakarimojong, Luganda, Lugbara, Luo, Runyankole-Rukiga, Runyoro-Rutoro, and Lusoga. The Household, Woman’s, and Man’s Questionnaires were programmed into tablet computers to facilitate computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the nine languages for each questionnaire. The Biomarker Questionnaire was completed on paper during data collection and then entered into the CAPI system.

The Household Questionnaire listed all members of and visitors to the selected households. Basic demographic information was collected on the characteristics of each person, including his or her age, sex, marital status, education, and relationship to the head of the household. Parents’ survival status was determined for children under age 18. The data on age and sex of household members obtained in the Household Questionnaire were used to identify women and men who were eligible for individual interviews, anthropometry measurements, and anaemia testing. The Household Questionnaire was also used to identify children for anthropometry measurements, anaemia and malaria testing, and blood sample collection for vitamin A testing. In addition, the questionnaire collected information on characteristics of the household’s dwelling unit, such as source of water, type of toilet facilities, and materials used for the floor of the dwelling unit, as well as ownership of various durable goods. The questionnaire further collected information on ownership and use of bed nets, child discipline, road traffic accidents and other causes of injury/death, and deaths in the households. An additional module based on the Short Set of questions developed by the Washington Group on Disability Statistics to estimate the prevalence of disabilities among persons age 5 or above was also included in the Household Questionnaire.

Abstract

Data from rural Uganda was collected in 2007 as part of the baseline survey of the HarvestPlus Reaching End Users (REU) Orange-Fleshed Sweet Potato (OFSP) project which aimed at inducing broad OFSP adoption, increasing vitamin A intakes and reducing vitamin A deficiency among children and women in Uganda.

Geographic coverage

Sub-national coverage, only rural areas.

Analysis unit

Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

The Uganda Food Consumption survey was designed as a cross-sectional study and collected data to provide separate estimates for three regions of Uganda. The three regions were selected purposefully and included: the Central Region (Kampala City Council) representing urban areas, and the South-West and North Regions representing rural areas. In the South-West and North, two districts were selected randomly from a roster of all constituent districts after removing those considered unsafe and/or too inaccessible. The selected districts were: - South-West: Bushenyi and Hoima Districts - North: Kitgum and Lira Districts

Kampala district coincides with Kampala City Council, therefore, it is the only district selected in the Central region. Two divisions were randomly selected In Kampala district, while two sub-counties were randomly selected in each survey district selected in the South-West and North, for a total of two divisions in Kampala and eight sub-counties, four in the South-West and North regions each.

The primary sampling unit for the survey was an enumeration area (EA), or cluster, as demarcated by the Uganda Bureau of Statistics (UBOS) for the Uganda Population and Housing Census of 2002. The boundaries of EAs often coincide with village councils, the smallest administrative subdivisions in Uganda, and constitute about 150 households.

A two-stage procedure was used to select the sample. In the first stage, the EAs for each sub-county were selected with a probability proportional to their size (PPS). In the second stage, households in each cluster were randomly selected based on a complete listing of households. Clusters with more than 150 households were first segmented, with households listed only for one randomly selected segment. Ahead of actual data collection, a team of community mobilizers was deployed to each survey region and they worked with local leaders to list all eligible households in each cluster or cluster segment. Households were eligible for inclusion in the study when at least one WRA (Women of Reproductive Age, 15-49 years) and a child 6-59 months resided in them. In each household, only one woman aged 15-49 years, one child from 24-59 months, and one child from 6-23 months were selected. In households where more than one woman and/or child in each age group lived, one woman and one child in each age group were selected randomly.

Mode of data collection

Face-to-face [f2f]

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 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.

Abstract

UNHCR requested REACH to facilitate a JMSNA, with support from ECHO with the objective of establishing a comprehensive evidence-base of multi-sectoral needs among refugee and host community populations across all existing refugee settlements nationwide (30) and the districts hosting these settlements (11). The report also incorporates findings on needs among refugee and host community populations living in vulnerable urban neighbourhoods of Kampala.

The findings and analysis from this report has been used to support the Refugee Response Plan for 2019-2020, along with informing other programmatic, strategic, and operational decision making for the humanitarian response coordinators and partner organisations. The JMSNA aims to compare humanitarian needs across population groups and locations in order to highlight groups and areas of most concern. Consequently, it aims to answer the following research question: what is the situation for specific population groups (refugees residing within refugee settlements and host community populations) in Uganda regarding health and nutrition; water, sanitation, and hygiene (WASH); livelihoods, environment and energy; shelter, site planning, and non-food items; education; and food security.

The JMSNA process in Uganda began in February 2018, with REACH facilitating the research design under the auspices of UNHCR and Uganda’s Office of the Prime Minister (OPM). Through the inter-agency coordination group and other coordination mechanisms, a collaborative tool was developed with input from many partners. Data collection was conducted from 2 April to 14 July, 2018, in all 30 refugee settlements. Data collection was carried out in Kampala from 6 to 16 March and 28 March to 9 April to assess the needs of refugee and host community households in vulnerable urban neighbourhoods of Kampala.

Project URL: https://www.reachresourcecentre.info/country/uganda/theme/multi-sector-assessments/cycle/1252/#cycle-1252

Geographic coverage

This assessment covered all 30 refugee settlements in Uganda (Agojo, Alere, Ayilo I/II, Baratuku, Boroli, Elema, Kiryandongo, Kyaka II, Kyangwali, Imvepi, Lobule, Maaji I/II/III, Mireyi, Mungula I/II, Nakivale, Nyumanzi, Oliji, Olua I/II, Palabek, Pagirinya, Palorinya, Rhino Camp, Rwamwanja, Oruchinga, Bidi Bidi) in 11 refugee hosting districts (Adjumani, Arua, Hoima, Isingiro, Kamwenge, Kiryandongo, Koboko, Kyegegwa, Lamwo, Moyo, Yumbe).

Analysis unit

Households

Universe

Refugee settlements

Kind of data

Sample survey data [ssd]

Sampling procedure

Systematic random sampling

Mode of data collection

Computer Assisted Personal Interview [capi]

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 primary purpose of the Harmonized Host and Refugee Labor Market Survey (HHR-LMS) in Uganda is to provide information relevant for studying the impact of forced displacement on labor market outcomes for host communities, both among Ugandan nationals and refugees. The survey aims to obtain detailed information that helps explore labor market outcomes for host and refugee communities living side by side and engaging in shared labor market settings.

Geographic coverage

The survey covers three locations in Uganda: Kampala, Isingiro district, and the Nakivale refugee settlement.

Analysis unit

Household or respondent, depending on survey module.

Universe

The survey covered all de jure households excluding prison, hospitals, military barracks and school dormitories. It includes both national and refugee households.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design included 265 initial enumeration areas selected using probability proportionate to size with the number of households used as a measure of size. The enumeration areas were select-ed based on the sample frame constructed during the 2014 population census of Uganda. The Ugan-dan Bureau of Statistics (UBOS) conducted the selection of the EAs and provided their list along with detailed maps of the areas.

Using maps of the selected enumeration areas provided by UBOS, the study team conducted the list-ing of all households in the selected EAs with door-to-door visits. The listing exercise was carried out during November 2021-January 2022 by a team of local field workers recruited and trained for this purpose.

In Kampala city, in addition to a traditional PPS sample, we employed adaptive cluster sampling (ACS) (Thomson 1997; Thomson and Seber 1996) to capture a sufficient number of refugee house-holds. Using the listing of households in the initial 150 clusters in Kampala, the survey team identified those EAs that have 10 percent or more refugee households and conducted the listing of all of their neighbors. This resulted in listing additional 49 clusters that are identified as neighbors to these initial clusters. The exercise served as a basis for selection of both refugees and national households in Kampala.

In general, the sample design is a two-stage sample, with EAs first selected randomly for listing, followed by random selection of households from the listing. There is an extra third stage of choosing individuals randomly selected in households (RSI). Within each household, one person is selected at random (RSI) from the list of eligible members: persons aged between 18 and 65 years old in a national household; or refugees aged between 18 and 65 years old in a non-national household.

Sampling deviation

Description provided in "Harmonized Host and Refugee Labor Market Survey in Uganda, Sampling Description" documentation.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two main questionnaires were used to two sampling units: the household head and a randomly selected individual from within the household among the members of the household who are in the age range of 18 to 65 years old.

Response rate

Description provided in "Harmonized Host and Refugee Labor Market Survey in Uganda, Sampling Description" documentation.

This paper presents data collected in July 2016 to assess the consumption patterns and dietary quality among vulnerable urban consumers at the Base of Pyramid (BoP). The data was collected within the project ‘Making Value Chains Work for Food and Nutrition Security of Vulnerable Populations in East Africa’ which was funded by the German Federal Ministry for Economic Cooperation and Development (BMZ). The project was led by the Bioversity International and the International Center for Tropical Agriculture and implemented in partnership with KALRO, NARO, Goettingen University and UHOH. The project was under the CGIAR flagship program “Food Systems for Healthier Diets” under the Research Program on Agriculture for Nutrition and Health (A4NH) A cross-sectional survey was conducted to collect data with the goal of assessing critical and sensible ways in which market systems work to improve the consumption of more diverse, safe and nutrient-dense foods. The questionnaire had five sections. Section A captured the geographical location of the households and interview day details. Section B captured household demographic details. Section C focused on household nutritious porridge consumption and preferences. In Section D, household access to nutrition information was captured while Section E details household assets and their nominal values. The anonymized data is arranged into six files; 01Identifier16 file contains all the data from section A. Similarly, household demographic information is in file 02Demography16. 03Consumption16, 04Flourattributes16, 05Assets16 and 06Text16 contain household nutritious porridge consumption and sources of the flour, important porridge flour quality attributes, household assets and their values, and crosscutting general household level data respectively. Metodology:Data collection site The data was collected in Nairobi, Kenya and Kampala, Uganda. Nairobi is Kenya’s capital city. Projections by the Kenya Bureau of Statistics (KNBS) indicate that the county’s population will rise from 3.14 million recorded in the 2009 census to 5.96 million by 2022 with an inter-censual growth rate of 3.8 per cent (County Government of Nairobi, 2018). The city has the largest slum in East and Central Africa; Kibera slum, and others such as Kawangware, Mathare, Kangemi, Korogocho, Majengo, Kitui village and Kiambiu. Poverty levels are high in the city with the most affected groups being the unemployed youth, women, persons with disabilities, female and child-headed households, slum dwellers and the aged (County Government of Nairobi, 2018). Poor access to basic infrastructure is also a common characteristic of the many slums in Nairobi. On the other hand, Kampala is Uganda's administrative and commercial capital city with a population of approximately 1.2 million inhabitants (Robinah et al., 2013). Kampala is also a rapidly growing city and is home to Slums such as Bwaise, Katwe, Kisenyi, Kibuli, Katanga, Nabulabye, Naguru2 and Nsambya (Association of Physicians of Uganda, 2018). In Nairobi, Kibera, Embakasi, Mathare and Dagoreti slums were selected as the study site while Bwaise, Kawempe, Kamwokya and Kasubi parishes were the study areas in KampalaA multi-stage sampling strategy was used to select respondents. First, we used the national statistics (Emwanu et al., 2004; KNBS, 2015) and information from the administrative offices to identify four urban BoP locations with the highest poverty levels in each of the two cities. In Nairobi, the selected locations were Kibera, Embakasi, Mathare and Dagoreti while in Kampala data collection was done in Bwaise, Kawempe, Kamwokya and Kasubi parishes. Second, households from these locations were randomly selected, using a systematic random sampling technique. We interviewed a total of 600 households, 300 from Kenya and 300 from Uganda. Survey preparation involved several activities. First, survey tool development, design and programming into SurveyCTO. Second, enumerator recruitment and training. We selected enumerators from a pool of recent graduate applicants with sufficient experience in carrying out household surveys and a good knowledge of the two cities (Nairobi and Kampala). The selected enumerators were then intensively trained for 3 days (11th – 13th July 2016). The training covered each question in the questionnaire, the purpose of each question and a suitable means of handling each question. Enumerators were additionally trained on Computer Aided Personal Interview (CAPI) tools and using tablets in data collection. Prior to the actual fieldwork, the teams held a pretest of the survey in non-sampled villages in Nairobi and Kampala. Actual data collection took 15 days (16th – 30th July 2016) under the guidance of team leaders in collaboration with local authorities and village elders. During the survey, a research associate from the Bioversity International and the International Center for Tropical Agriculture checked for inconsistencies, patterns and outliers in the data on a daily basis and provided detailed feedback to data collection teams as a strategy for quality assurance. After the survey, we downloaded the raw data as Comma Separated Values (CSV) files. We later imported the CSV files into STATA for cleaning.

Abstract

The 2019/20 Uganda National Household Survey (UNHS) is the seventh in a series of national household surveys that Uganda Bureau of Statistics (UBOS) has undertaken. The survey collected information on socio-economic characteristics at both household and community levels. The main objective of the survey was to collect high quality data on demographic and socio-economic characteristics of households for monitoring Uganda's development performance of key indicators in the various sectors. The 2019/20 UNHS comprises four (4) modules. Those are the Socio-Economic, Labour Force, Community, and Market price modules. The main findings are based on the four modules and include trends of several indicators on Education, Health, Household Expenditure and Poverty, Food security, Income and loans, Information and Communication Technology, Vulnerable Groups, Community Characteristics and Non-crop household enterprises, presented at national, rural-urban, regional and sub-regional levels. The survey collected much more information besides what has been included in the main findings. Therefore, UBOS calls upon all stakeholders to utilize the wealth of data collected and availed over the years to undertake in-depth empirical analysis so as to better inform future policy debate.

Geographic coverage

National Coverage

Analysis unit

The UNHS 2016/17 had the following units of analysis: individuals, housheholds, and communities.

Universe

The survey covered all de jure household members (usual residents), all currently employed and unemployed persons aged 5 years and above, resident in the household.

Sampling procedure

Sampling Design The Uganda National Household Survey 2019/20 (UNHS VI1 will be seventh survey of its kind in Uganda following the one implemented in 2019/2017. The survey calls for a nationally representative sample of 14480 households from 1448 sample clusters. It is designed to collect high quality and timely data on demographic, social and economic characteristics of the household population to monitor international and national development frameworks. The survey is designed to produce representative estimates for the poverty indicators for the country as a whole, for the urban and rural areas separately, for each of the 15 geo-regions. The definition of the geo-regions and the study domains are given in section 2. In addition to the geo-regions, the survey indicators will be produced for the following areas: The Island, The Greater Kampala areas, PRDP.

Sampling Frame The sampling frame used for UNHS VII is the frame for the Uganda Population and Housing Census which conducted on August 2014 (UPHC 2014). The sampling frame is a complete list of census Enumeration Areas (EA) created for the census covering the whole country, consisting of 78,692EAs (excluding Refugees, forests and forest reserves and institutional population). Currently in Uganda there are 128 districts, each districts is sub-divided into Sub County, and each sub country into parish, and each parish into villages and then Enumeration areas. The frame file contains the administrative belongings for each EA and its number of households at the time of the census operation. Each EA has also a designated residence type, urban or rural. According to 2014 Population and Housing Census, an EA was either a village or part of the village. EAs with less than 50 households were linked to others EAs by GIS section so that the primary sampling units are not very small. The allocation of clusters (EA) per sub-region will be relatively equal across domains. The allocation per domain will be well balanced and small changes in the allocation will not affect the precision of estimates. The 2200 selected households should result in about 2000 households successfully interviewed. The sample will be selected independently from each stratum using probability proportional to size. The country currently has 134districts and 12 Cities, these are grouped into the following 15 sub-regions:

1. Kampala: Kampala
2. Buganda South: Butambala, Gomba, Mpigi, Bukomansimbi, Kalangala, Kalungu, Lwengo, Lyantonde, Masaka, Rakai, Sembabule, Wakiso, Kyotera, Masaka City
3. Buganda North: Buikwe, Buvuma, Kayunga, Kiboga, Kyankwanzi, Luwero, Mityana, Mubende, Mukono, Nakaseke, Nakasongola, Kassanda
4. Busoga: Bugiri, Namutumba, Buyende, Iganga, Jinja, Kaliro, Kamuli, Luuka, Mayuge, Namayingo, Bugweri, Jinja City
5. Bukedi: Budaka, Butaleja, Kibuku, Pallisa, Toororo, Busia, Butebo
6. Egon: Bulambuli, Kapchorwa, Kween, Bududa, Manafwa, Mbale, Sironko, Bukwo, Namisindwa, Mbale City
7. Teso: Amuria, Bukedea, Katakwi, Kumi, Ngora, Soroti, Kaberamaido, Serere, Kapelebyong
8. Lango: Alebtong, Amolatar, Dokolo, Lira, Otuke, Apac, Kole, Oyam, Kwania, Lira City
9. Acholi: Agago, Amuru, Gulu, , Lamwo, Pader,Kitgum ,Nwoya, Gulu City
10. Karamoja: Abim, Amudat, Kaabong, Kotido, Moroto, Nakapiripirit, Napak, Nabilatuk
11. West Nile: Adjumani, Arua, Koboko, Maracha, Moyo, Nebbi, Yumbe, Zombo, Pakwach, Obongi, Terego, Arua City
12. Tooro: Bundibugyo, Kabarole, Kasese, NTooroko, Kyenjojo, Kamwenge, Kyegegwa, Bunyangabu, Fort portal City
13. Bunyoro: Buliisa, Hoima, , Kibaale, Kiryandongo, Masindi, Kikuube, Hoima City, KItagwenda
14. Ankole: Buhweju, Bushenyi, Ibanda, Isingiro, Kiruhura, Mbarara, Mitooma, Ntungamo, Rubirizi, Sheema, Mbarara City, Rwampara, Kazo
15. Kigezi: Kabale, Kisoro, Kanungu, Rukungiri, Rukiga

Mode of data collection

Data collection The survey collected data on food, drinks and beverage consumption using a seven-day recall period on the four major food sources22. Information was collected both in terms of expenditures and quantities, except for food consumed away from home only having the expenditure recorded. To ensure the accuracy of the information provided by respondents, data on food quantities was collected in local units of measurement. Conversion factors were then used to transform local units of measurement into standard metric units of quantity derived from the market survey conducted during the survey. Macronutrients and micronutrient values were mainly derived from the recent "Food Composition Table for Central and Eastern Uganda" (Harvest-Plus 2012)23.

In 2024, Gabon had the highest urbanization rate in Africa, with over 90 percent of the population living in urban areas. Libya and Djibouti followed at around 82 percent and 79 percent, respectively. On the other hand, many countries on the continent had the majority of the population residing in rural areas. As of 2023, urbanization in Malawi, Rwanda, Niger, and Burundi was below 20 percent. A growing urban population On average, the African urbanization rate stood at approximately 45 percent in 2023. The number of people living in urban areas has been growing steadily since 2000 and is forecast to increase further in the coming years. The urbanization process is particularly rapid in Burundi, Uganda, and Tanzania. In these countries, the urban population grew by over five percent in 2023 compared to the previous year. However, in 39 countries on the continent, the urban population growth was over three percent. The most populous cities in Africa Africa’s largest city is Lagos in Nigeria, counting around nine million people. It is followed by Kinshasa in the Democratic Republic of the Congo and Cairo in Egypt, each with over seven million inhabitants. Moreover, other cities on the continent are growing rapidly. The population of Bujumbura in Burundi will increase by 123 percent between 2020 and 2035, registering the highest growth rate on the continent. Other fast-growing cities are Zinder in Niger, Kampala in Uganda, and Kabinda in the Democratic Republic of the Congo.