Uganda

Key Figures
  • Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    200+ Downloads
    This dataset updates: As needed
  • Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    300+ Downloads
    This dataset updates: As needed
  • Updated 31 August 2021 | Dataset date: January 01, 2020-August 20, 2021
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
    200+ Downloads
    This dataset updates: As needed
  • Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    11000+ Downloads
    This dataset updates: Never
  • Updated 4 August 2021 | Dataset date: January 01, 1970-December 31, 2019
    Education indicators for Uganda. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)
    1800+ Downloads
    This dataset updates: Every three months
  • Updated 4 August 2021 | Dataset date: August 01, 2020-October 17, 2021
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    300+ Downloads
    This dataset updates: As needed
  • Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020
    Food Security Indicators for Uganda. Contains data from the FAOSTAT bulk data service.
    500+ Downloads
    This dataset updates: Every year
  • Updated 11 July 2021 | Dataset date: September 24, 2020-November 30, 2020
    UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed. For this assessment, 1791 women recepients of menstrual hygiene management kits were interviewed, 1607 of whom answered questions about sanitary pads and underwear. 215 men were interviewed, 182 of whom answered questions about sanitary pads and underwear. These responses were excluded from the analysis.
    This dataset updates: Never
  • Located in rural northern Uganda, Rhino Camp is home to more than 80,000 refugees3 – mostly South Sudanese who fled since July 2016. Other Rhino Camp residents come from the Democratic Republic of Congo, Rwanda, Sudan, as well as the host Ugandan community. 74% of all heads of household are women,4 and Rhino Camp is one of a growing number of refugee settlements across nine UNHCR operations where solar street lamps are in use. Between April and June 2015 UNHCR installed some three dozen community lights in 50% of Rhino Camp’s 14 villages. As demand for community lighting far exceeded available funds, UNHCR worked with the refugee community and its partner the Danish Refugee Council to prioritize the strategic placement of lights within villages. The partners jointly selected locations where (1) refugees were prone to nighttime violence, theft or other safety risks, and (2) lights would promote constructive night-time activity. Using a 72-question survey, researchers asked respondents what day- and night-time6 activities they and their children do, and whether they do these activities in lit or unlit locations. Researchers then asked respondents if they feared or had been victims of something bad while doing these activities. The phrase something bad is the English translation for the most commonly used expressions – in Nuer, Dinka, Bari, and Kiswahili – of being a victim of an aggressive act or encountering danger. Survey responses reveal that the bad experiences that respondents most commonly fear are sexual and physical violence, theft, verbal harassment, injury, and encounters with animals
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: November 01, 2020-November 30, 2020
    To allow for a proper understanding of the extent of the impact of COVID-19 on refugees in Uganda, the need was identified to carry out a Rapid Gender Assessment (RGA) to assess the impact of the pandemic on women, men, girls and boys of diverse backgrounds, including persons with disabilities, older persons and those with serious medical conditions. This assessment was conducted both in Kampala and across refugee settlements. A mixed methods approach was used to address the central objectives of the study, including a review of secondary sources, a household survey and a key informants interview. The household survey targeted 1535 individuals, including vulnerable groups such as child heads of household, persons living with disabilities, and persons with serious medical conditions. The final locations included within the sample were Kampala, Kyaka II, Nakivale, Oruchinga, Adjumani, Bidibidi, Imvepi, Kiryandongo, Lobule and Rhino Camp. Those locations were selected to ensure that all regions and population groups were represented in the final sample of respondents.
    10+ Downloads
    This dataset updates: Never
  • Uganda currently hosts about 1.2 million refugees spread across twelve settlements in the country with at least 60% of the caseload settled in the West Nile region of the country and having South Sudanese origin. The rest of the refugees come from Rwanda, Burundi, Somalia, DRC and other countries. Most of the refugees particularly from South Sudan are new arrivals. The influxes particularly from South Sudan, Burundi and DRC over the past 3 years currently renders Uganda the biggest host for refugees in Africa. In order to efficiently offer adequate aid to these refugees, more and more humanitarian organizations and international non-governmental organizations have decided to convert in-kind support to cash-based transfers. These transfers are provided to people with special needs, such as pregnant women and the elderly, or to refugees taking part in 'cash for work' programmes (e.g., constructing community rubbish pits, building access roads, working on farms or planting trees). A total of 254 households were identified basing on the following criteria (stratified random sampling); (i) Parents/primary care-givers of children with severe mental disabilities, (ii) Parents/primary care-givers of children with special education needs enrolled in school, (iii) Family head with disability who is the primary care-giver of an orphaned child, (iv) Single-heads of household who are care-givers for children with specific needs, (v) Elderly women/men (above 60 years) who are primary caregivers of children with specific needs, (vi) Care-giver of persons with serious medical conditions.
    This dataset updates: Never
  • UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed. For this assessment, 1971 women recepients of menstrual hygiene management kits were interviewed, whom answered questions about sanitary pads and underwear. 235 men were interviewed, 182 of whom answered questions about sanitary pads and underwear. These responses were excluded from the analysis.
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: January 01, 2020-December 31, 2020
    UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed. For this assessment of non-food items, 2623 individuals recepients of soap kits were interviewed, and were asked questions about quality, sufficiency of quantity and usefulness of such kits. The survey also includes questions on other preferred items and use of negative coping mechanisms for livelihoods.
    This dataset updates: Never
  • UNHCR uses Post Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided, and related services. Usually the surveys that form the basis of the assessment are conducted soon after the distribution of relief items is completed. For this assessment of non-food items, 2517 individuals recepients of soap kits were interviewed, and were asked questions about quality, sufficiency of quantity and usefulness of such kits. The survey also includes questions on other preferred items and use of negative coping mechanisms for livelihoods.
    This dataset updates: Never
  • Updated 28 June 2021 | Dataset date: December 01, 2020-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Mbale in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    20+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: December 01, 2020-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Jinja in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Tororo in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Soroti in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Sironko in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Napak in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Namutumba in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Nakapiripiti in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Munafa in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    10+ Downloads
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Mukono in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    This dataset updates: Every three months
  • Updated 28 June 2021 | Dataset date: May 25, 2021-October 17, 2021
    This dataset contains Who, What, Where and When (4W) data for the district of Moroto in Uganda. The operational presence of the various organisations (who) by sector (what), location (where) at the province level and when the information was collected (when).
    This dataset updates: Every three months