UNOSAT code: FL20220803UGA This map illustrates satellite-detected landslides in Budwale, Lwasso, Wanale, Bungokho Mutoto sub-countries and Wanale Division and Northern Division, Mbale district, eastern region, Uganda as observed from a Sentinel-2 image aquired on 9 August 2022. Within the analyzed area, 27ha landslide scars are observed. Based on Wordlpop population data about 200,700 people live inside the analyzed area.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
The data files described in this documentation correspond to a household sample survey carried out in three rounds (baseline in 2012, follow up 1 in 2013 and follow up 2 in 2014) with the objective of evaluating the impact of the Uganda Social Assistance Grants for Empowerment (SAGE) programme in 14 pilot districts across the Eastern, Central, Western and Northen districts in Uganda.
UNOSAT code: LS20191209UGA This map illustrates satellite-detected landslide at in Humya city, Bwanba County, Budibungyo District, Western Region, as seen on Pleiades-1 satellite imagery, 50 cm resolution, collected on 12 December 2019.
The landslides and mudflows hit Humyai along the main streams of Bwanba County.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
An excel file of Ugandan Regional and General Hospitals.
General Regional hospitals have coordinates.
General hospitals are sorted by owner in a separate file.
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.
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This dataset updates: Never
This dataset is part of the data series [?]: INFORM Models
This dataset contains information on food security, food consumption and feeding habits for kasese region of Uganda.Uganda after years of implementation of a food security program. Over 77% of households have enough food for a year and with 3 meals per day and balanced diet. Data shows ancilliary activities such as farmer training in sustainable agricultural practices, soil conservation and others which led to the attainment of food security.
Food and input prices of selected Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) member countries namely Kenya, Uganda, Tanzania, Rwanda and Ethiopia, for the below commodities:
a) Food commodities: banana, beans, beef, milk, irish potatoes, maize, rice, wheat, teff
b) Inputs: dap, diesel, gasoline
Aggregated data on food insecure population in Kenya, Ethiopia, Uganda, Sudan, South Sudan, Rwanda, Burundi, Djibouti and Somalia from Dec 2010 to Jan 2015
This map illustrates satellite-detected surface water extent in Elegu town and surroundings using a Sentinel-1 satellite image acquired on the 23 August 2017. Within the map extent, surface waters extended of about 12% more particularly south and north-west of Elugu where evidences of floods could be observed. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.