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  • 1900+ Downloads
    Updated 26 February 2021 | Dataset date: September 21, 2020-September 21, 2020
    This dataset updates: Every year
    This data contains aggregated weighted statistics at the regional level by gender for the Survey on Gender Equality At Home fielded in July 2020. Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. If you're interested in becoming a Survey on Gender Equality research partner, please email gendersurvey@fb.com.
  • 500+ Downloads
    Updated 22 February 2021 | Dataset date: December 01, 2020-February 19, 2021
    This dataset updates: As needed
    The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
  • 10+ Downloads
    Updated 7 February 2021 | Dataset date: October 01, 2018-October 31, 2018
    This dataset updates: Never
    In late December 2017, the northeaster Ituri province of DRC experienced inter-ethnic violence which resulted in displacement of tens of thousands of civilians crossing the border to Uganda. Close to 60,000 refugees arrived in the Kyangwali settlement in a few months’ time, creating a humanitarian emergency which was aggravated by the outbreak of cholera. This called for a number of WASH agencies to begin operating in the settlement in response to the emergency with the objective to improve access to potable water supply and improved hygiene and sanitation facilities. The WASH forum decided to conduct a KAP survey to gauge the level of WASH services against acceptable standards and assess existing gaps to facilitate evidence based planning of future programs. The survey includes 384 refugee households in the Kyangwali refugee settlement.
  • 10+ Downloads
    Updated 7 February 2021 | Dataset date: November 01, 2018-November 01, 2018
    This dataset updates: Never
    The WASH KAP Uganda Palorinya survey 2018 was implemented by NRC to provide a benchmark on the status of the WASH situation of Refugees in Zone 3 of the settlement. This part had an estimated 69000 people, and for this part, NRC was selected as UNHCR's implementing partner for WASH activities. The sample includes 402 households, randomly selected from the west and east of Zone 3.
  • Updated 7 February 2021 | Dataset date: November 01, 2019-November 30, 2019
    This dataset updates: Never
    Uganda is hosting over 1 million refugees with about 114,716 (OPM Nov 2019) of them settled in Kyangwali refugee settlement. This rapid influx of refugees has put pressure on basic social services including education, food, shelter and WASH infrastructure. In order to efficiently and effectively improve WASH service delivery in the settlement, there is need for accurate and reliable information on which to base programmatic decisions. Kyangwali settlement has had a number of interventions by different partners, and in as much as there were access indicators obtained regularly by the partners that provide extremely useful average figures at settlement level, there has been a gap in the in-depth understanding of the situation at household level and to account for disparities within the settlement so as to measure the impact of the interventions. The survey mainly utilized 2 methods: Household questionnaire survey and documentary review. The survey covered all the five zones of the settlement, with samples drawn from all the villages in the different zones. Sample sizes for each zone were calculated using the UNHCR sample size determination tool. A sample of 403 (only refugees) was interviewed using household questionnaire survey administered through Kobo collect and Open Data Kit (ODK) tool. Reviewed documents included: partners periodic updates, minutes of WASH meetings.
  • 10+ Downloads
    Updated 7 February 2021 | Dataset date: February 01, 2018-July 14, 2018
    This dataset updates: Never
    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
  • Updated 7 February 2021 | Dataset date: September 01, 2019-September 30, 2019
    This dataset updates: Never
    The purpose of the WASH KAP survey was to collect primary data on several indicators related to the WASH Program implemented in the refugee and host communities of Palabek Settlement, Uganda. The survey aimed at assessing the level of improvement on the accessibility of WASH facilities after a 2 year intervention project. The survey used cross-sectional design used and both qualitative and quantitative techniques such as use of UNHCR standard WASH questionnaires, field visits and observations were employed during the study. In the 2019/20, the LWF provided WASH services to both refugee settlements and host community living in and around Palabek settlement. In order to gauge the coverage, the LWF conducted this KAP survey. The respondents were drawn from the host community (238 households) and the refugee settlement (446 households).
  • 2500+ Downloads
    Updated 2 February 2021 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: As needed
    This dataset includes the latest available information on COVID-19 developments impacting the security of aid and health work and operations to help aid agencies meet duty of care obligations to staff and reach people in need.
  • 50+ Downloads
    Updated 28 January 2021 | Dataset date: August 02, 2019-October 17, 2021
    This dataset updates: Never
    This dataset includes main roads from the Uganda National Roads Authority Roads Network classified into A, B, C
  • 20+ Downloads
    Updated 9 December 2020 | Dataset date: January 01, 2020-January 01, 2020
    This dataset updates: Never
    This data is about Uganda Red Cross Society Projects Footprint as of 01 01 2020
  • 60+ Downloads
    Updated 9 December 2020 | Dataset date: January 01, 2020-January 01, 2020
    This dataset updates: Never
    This data is about the 51 Uganda Red Cross Society Branches as of 01 12 2020
  • 30+ Downloads
    Updated 9 December 2020 | Dataset date: June 12, 2020-June 12, 2020
    This dataset updates: Never
    This data is about Uganda Districts affected by Floods and Rising Water Levels in Lakes as of Friday, 12th June 2020
  • 40+ Downloads
    Updated 9 December 2020 | Dataset date: July 14, 2020-July 14, 2020
    This dataset updates: Never
    This data is about Accident hotspots from Road Traffic Accidents survey/ assessment by Uganda Red Cross Society, Ministry of Health and Uganda Police, 14th July 2020
  • 40+ Downloads
    Updated 9 December 2020 | Dataset date: December 30, 2020-December 30, 2020
    This dataset updates: Never
    This data is a zipped shapefile of the COVID-19 risk index based on the INFORM index framework.
  • 40+ Downloads
    Updated 24 November 2020 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674
  • 200+ Downloads
    Updated 24 November 2020 | Dataset date: January 01, 2000-December 31, 2020
    This dataset updates: Every year
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
  • 200+ Downloads
    Updated 30 October 2020 | Dataset date: October 31, 2020-October 31, 2020
    This dataset updates: Every six months
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • 100+ Downloads
    Updated 30 October 2020 | Dataset date: December 11, 2019-December 11, 2019
    This dataset updates: As needed
    Eastern and Southern Africa Refugees and IDPs Situation and Response
  • 100+ Downloads
    Updated 30 October 2020 | Dataset date: December 31, 2019-December 31, 2019
    This dataset updates: As needed
    The Database and dashboard covers the regional humanitarian situation including targets, results and funding all as of December 2019 for entire Eastern and Southern Africa. Annual 2019 Database.
  • 100+ Downloads
    Updated 30 October 2020 | Dataset date: December 31, 2019-December 31, 2019
    This dataset updates: As needed
    Eastern and Southern Africa Refugees and IDPs Situation and Response
  • 100+ Downloads
    Updated 14 September 2020 | Dataset date: July 08, 2020-July 10, 2021
    This dataset updates: Every year
    This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI 2020 methodology is detailed in Alkire, Kanagaratnam & Suppa (2020).
  • 500+ Downloads
    Updated 9 September 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This dataset is compiled from two categories of sources: (a) verified security events submitted to Insecurity Insight by 30 Aid in Danger partner agencies; and (b) publicly reported events identified by Insecurity Insight and published in the Aid in Danger Monthly News Brief. Events are categorised by date, country, type of organisation affected and event category, based on standard definitions.
  • 20+ Downloads
    Updated 20 July 2020 | Dataset date: September 15, 2021-September 15, 2021
    This dataset updates: Every week
    These datasets contain OpenStreetMap data related to the Refugee Response in northern Uganda. Data model coordinated with UNHCR. The source is surveys and mapping in northern Uganda performed by HOTOSM and partners. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('bank','banking_agent','atm','credit_institution','microfinance_bank','microfinance','sacco','bureau_de_change','money_transfer') Features may have these attributes: addr:subcounty addr:district name addr:settlement start_date addr:place opening_hours amenity addr:block operator addr:village addr:parish This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Updated 20 July 2020 | Dataset date: September 15, 2021-September 15, 2021
    This dataset updates: Every week
    These datasets contain OpenStreetMap data related to the Refugee Response in northern Uganda. Data model coordinated with UNHCR. The source is surveys and mapping in northern Uganda performed by HOTOSM and partners. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('doctors','clinic','hospital','pharmacy') Features may have these attributes: staff_count:doctors beds addr:village addr:county dispensing addr:subcounty name staff_count:nurses water_supply generator:source addr:place operator:type phone toilets:access opening_hours amenity addr:point addr:block operator addr:parish addr:district toilets addr:settlement start_date emergency health_person:type operational_status health_facility:type This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Updated 20 July 2020 | Dataset date: September 15, 2021-September 15, 2021
    This dataset updates: Every week
    These datasets contain OpenStreetMap data related to the Refugee Response in northern Uganda. Data model coordinated with UNHCR. The source is surveys and mapping in northern Uganda performed by HOTOSM and partners. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('toilets','waste','recycling') Features may have these attributes: male addr:subcounty waste name addr:place toilets:handwashing operator:type fee toilets:access toilets:disposal amenity addr:block operator addr:parish female addr:district addr:settlement start_date lit toilets:wheelchair operational_status This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.