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 second-level administrative unit 'Districts' of Zambia. There are 10 provinces which are subdivided into 116 districts. The dataset was uploaded by the Zambia Survey Department in March, 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 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 represents the second-level administrative unit 'Delegations' of Tunisia. There are 24governorates which were divided into 279 delegations. The dataset was uploaded by the Office de la Topographie et de la Cartographie, Tunisia in October, 2022 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 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 second-level administrative unit 'territories' and 'cities' of Democratic Republic of the Congo. There are 26 provinces which are subdivided into . 219 territories, villes or cities. The dataset was uploaded by the Institut Géographique du Congo in December, 2022 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 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 represents the second-level administrative unit 'Districts' of Zambia. There are 59 tinkhundla under 4 regions in Eswatini . The dataset was uploaded by the Surveyor General's Department, Ministry of Natural Resources and Environment in January, 2022 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 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 represents the second-level administrative unit 'Districts' of Lesotho. There are 10 Districts. The dataset was uploaded by the Department of Lands, Surveys & Physical Planning in June, 2022 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 second-level administrative unit 'cantons' of Costa Rica. There are 82 cantons under 7 provinces. The dataset was uploaded by the Instituto Geográfico Nacional of Costa Rica in December, 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 July 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 second-level administrative unit 'regions' of Côte d'Ivoire. There are 14 districts and autonomous districts. Except for the two autonomous districts around the cities of Yamoussoukro and Abidjan, the remaining 12 autonomous districts are further subdivided into 31 regions. The dataset was uploaded by the Centre d'Information Géographique et du Numérique (BNETD) in January, 2022 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 second-level administrative unit 'districts' of Sri Lanka. There are 25 districts under 9 provinces. The dataset was uploaded by the Survey Department of Sri Lanka under Ministry of Home Affairs in November, 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 July 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).