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  • This dataset represents the first-level administrative unit 'districts' of Uganda. Boundaries of territorial areas gathering several administrative districts, are officially served and united by the Uganda Local Governments Association (ULGA). FAO-CSI got the data from(?) and validated topology/geometry in January, 2022. International borders were validated against the official borders from the United Nations Geospatial Information Section (UN-Map 2018).

  • This dataset represents the first-level administrative unit 'counties' of Kenya. The counties of Kenya are geographical units envisioned by the 2010 Constitution of Kenya as the units of devolved government. The dataset was originally produced by the WHO Teams for analysis of Rift valley fever (RVF). FAO-CSI got the data from(?) and validated topology/geometry in January, 2022. International borders were validated against the official borders from the United Nations Geospatial Information Section (UN-Map 2018).

  • This dataset represents the first-level administrative unit 'districts' of Tanzania. Districts are each administered by a district council. Cities are separately administered by their own councils, and while administratively within a region, are not considered to be located within a district. FAO-CSI got the data from(?) and validated topology/geometry in January, 2022. International borders were validated against the official borders from the United Nations Geospatial Information Section (UN-Map 2018).

  • This dataset represents the fourth-level administrative unit 'Sub-Counties' of Uganda. The dataset was originally produced by the Uganda Bureau of Statistics with support from WFP and further processed by OCHA Regional Office for Southern and Eastern Africa (ROSEA) with support from WHO and in August, 2020 was uploaded to Humanitarian Data Exchange(OCHA-HDX). The reference scale for this Geospatial data is equivalent to 1:1,000,000 scale, or larger scale. The data was downloaded from Humanitarian Data Exchange (HDX) site in March 2022, feature topology/geometry was corrected, international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

  • This dataset represents the administrative districts of Mozambique which is the second-level administrative unit.The dataset was uploaded by National Remote Sensing & Cartography Centre - Centro Nacional de Cartografia e Teledeteção, Mozambique in July 2021 to Second Administrative Level Boundaries (SALB) Program of United Nations. The reference scale for this Geospatial data is equivalent to 1:1,000,000 scale, or larger scale. Data was downloaded from UN-SALB site in May 2022, feature topology/geometry was corrected, international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

  • This dataset represents the second-level administrative unit 'Faritra' or regions of Madagascar. There are 4 provinces which are subdivided into 23 faritra or regions. The dataset was uploaded by the Institut Géographique et Hydrographique National (Foiben-Taosarintanin'I Madagasikara) in October, 2021 to Second Administrative Level Boundaries (SALB) Program of United Nations. The reference scale for this Geospatial data is equivalent to 1:1,000,000 scale, or larger scale. Data was downloaded from UN-SALB site in June 2023, feature topology/geometry was corrected, international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

  • This dataset represents the third-level administrative unit 'Sectors' of Rwanda. The country is divided into 4 Provinces and the City of Kigali which are also further divided into 30 districts. Moreover, the districts are further divided into 422 Sectors. These data were extracted ICPAC (IGAD climate prediction and application center), it was prepared from the GADM database (www.gadm.org), version 2.8, November 2015. The reference scale for this Geospatial data is equivalent to 1:1,000,000 scale, or larger scale. Data was downloaded from ICPAC Geoportal site in March 2023, feature topology/geometry was corrected, international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

  • This dataset is for Rift Valley Fever project which was used as the structuring of the geospatial data. The World Health Organization (WHO) initiated the Expanded Program on Immunization (EPI) in May 1974 with the objective to vaccinate children throughout the world. In each of the United Nations’ member states, the national governments create and implement their policies for vaccination programs following the guidelines set by the EPI. Rift Valley fever (RVF) is an acute viral disease that affects domestic animals (such as cattle, buffalo, sheep, goats, and camels). The disease is caused by the RVF virus, generally found in regions of eastern and southern Africa, but also in most countries of sub-Saharan Africa, Madagascar, Saudi Arabia and Yemen. This dataset represents the administrative boundaries of Kenya, Tanzania and Uganda. The dataset was edited by FAO-CSI for topology/geometry validation in January,2022. International borders were updated/validated against the official/recognized borders from the United Nations Geospatial Information Section (UN-map 2018).