GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

The dataset consists of health zone boundaries with name, location, and other related attributes for fourteen provinces in the Democratic Republic of the Congo (COD). he current version supersedes the GRID3 COD - Health Zones v3.0. The following changes were made: Updated data for the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Tshopo and Mongala Data for Sankuru Province have been added A data sources table has been included as part of the metadata Province level data are also available. Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Health Zones v4.0. New York: Columbia University. URL . Accessed (date data was accessed)

The dataset consists of health facility points with name, location, health zone, and health area, among other attributes, for fourteen provinces in the Democratic Republic of the Congo (COD). The current version supersedes the GRID3 COD - Health Facilities v3.0. The following changes were made: Updated data for the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Tshopo and Mongala Data for Sankuru Province have been added A data sources table has been included as part of the metadata Province level data are also available. Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Health Facilities v4.0. New York: Columbia University. URL . Accessed (date data was accessed)

The dataset consists of health area boundaries with name, location, health zone, and other attributes for fourteen provinces in the Democratic Republic of the Congo (COD). The current version supersedes the GRID3 COD - Health Areas v3.0. The following changes were made: Updated data for the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Tshopo and Mongala Data for Sankuru Province have been added A data sources table has been included as part of the metadata Province level data are also available. Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Health Areas v4.0. New York: Columbia University. URL. Accessed (date data was accessed)

The GRID3 COD - Settlement Names v4.0 dataset consists of settlement points with name and attributes for fourteen provinces in the Democratic Republic of the Congo (COD). This data release supersedes the GRID3 COD - Settlement Names v3.0. The following changes were made: Updated data for the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Tshopo and Mongala Data for Sankuru Province have been added A data sources table has been included as part of the metadata Province level data are also available. Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Settlement Names v4.0. New York: Columbia University. URL. Accessed (date data was accessed)

The GRID3 NGA - Health Facilities v2.0 dataset is a non-exhaustive, non-validated geographic representation of health facility points in Nigeria. The dataset incorporates recent updates from both the Nigerian Health Facility Registry (HFR) and GRID3. This dataset is considered operational.

The GRID3 COD - Settlement Names v3.0 dataset consists of settlement points with name and attributes for thirteen provinces in the Democratic Republic of the Congo (COD): Province group 1: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Province group 2: Haut-Lomami and Tanganyika Province group 3: Ituri and Kwilu Province group 4: Maniema Province group 5: Kasaï-Central Province group 6: Tshopo and Mongala The province groups are legacy groupings corresponding to the order in which the original data was collected. This operational dataset has not been fully validated by government officials or ministries. This data release supersedes the previous versions. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, 2024. GRID3 COD - Settlement Names v3.0. New York: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3).[URL]. Accessed.

The GRID3 COD - Health Zones v3.0 dataset consists of health zone boundaries with name, location, and other related attributes for thirteen provinces in the Democratic Republic of the Congo (COD): Province group 1: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Province group 2: Haut-Lomami and Tanganyika Province group 3: Ituri and Kwilu Province group 4: Maniema Province group 5: Kasaï-Central Province group 6: Tshopo and Mongala The province groups are legacy groupings corresponding to the order in which the original data was collected. This operational dataset has not been fully validated by government officials or ministries. This data release supersedes the previous versions. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, 2024. GRID3 COD - Health Zones v3.0. New York: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3).[URL]. Accessed.

The GRID3 COD - Health Facilities v3.0 dataset consists of health facility points with name, location, health zone, and health area, among other attributes, for thirteen provinces in the Democratic Republic of the Congo (COD): Province group 1: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Province group 2: Haut-Lomami and Tanganyika Province group 3: Ituri and Kwilu Province group 4: Maniema Province group 5: Kasaï-Central Province group 6: Tshopo and Mongala The province groups are legacy groupings corresponding to the order in which the original data was collected. This operational dataset has not been fully validated by government officials or ministries. This data release supersedes the previous versions. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, 2024. GRID3 COD - Health Facilities v3.0. New York: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3).[URL]. Accessed

The GRID3 COD - Health Areas v3.0 dataset consists of health area boundaries with name, location, health zone, and other attributes for thirteen provinces in the Democratic Republic of the Congo (COD): Province group 1: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Province group 2: Haut-Lomami and Tanganyika Province group 3: Ituri and Kwilu Province group 4: Maniema Province group 5: Kasaï-Central Province group 6: Tshopo and Mongala The province groups are legacy groupings corresponding to the order in which the original data was collected. This operational dataset has not been fully validated by government officials or ministries. This data release supersedes the previous versions. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, 2024. GRID3 COD - Health Areas v3.0. New York: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). [URL]. Accessed .

The GRID3 ZWE - Settlement Extents v3.0 consists of a geographic representation of settlements in Zimbabwe, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Zimbabwe Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZWE - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 ZMB - Settlement Extents v3.0 consists of a geographic representation of settlements in Zambia, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Zambia Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZMB - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 ZAF - Settlement Extents v3.0 consists of a geographic representation of settlements in South Africa, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 South Africa Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZAF - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 UGA - Settlement Extents v3.0 consists of a geographic representation of settlements in Uganda, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Uganda Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 UGA - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 TZA - Settlement Extents v3.0 consists of a geographic representation of settlements in Tanzania, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Tanzania Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TZA - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 TGO - Settlement Extents v3.0 consists of a geographic representation of settlements in Togo, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Togo Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TGO - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 TCD - Settlement Extents v3.0 consists of a geographic representation of settlements in Chad, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Chad Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TCD - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SYC - Settlement Extents v3.0 consists of a geographic representation of settlements in Seychelles, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Seychelles Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SYC - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SWZ - Settlement Extents v3.0 consists of a geographic representation of settlements in Eswatini, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Eswatini Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SWZ - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 STP - Settlement Extents v3.0 consists of a geographic representation of settlements in São Tomé and Príncipe, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 São Tomé and Príncipe Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 STP - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SSD - Settlement Extents v3.0 consists of a geographic representation of settlements in South Sudan, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 South Sudan Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SSD - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SOM - Settlement Extents v3.0 consists of a geographic representation of settlements in Somalia, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Somalia Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SOM - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SLE - Settlement Extents v3.0 consists of a geographic representation of settlements in Sierra Leone, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Sierra Leone Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SLE - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SEN - Settlement Extents v3.0 consists of a geographic representation of settlements in Senegal, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Senegal Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SEN - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 SDN - Settlement Extents v3.0 consists of a geographic representation of settlements in Sudan, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Sudan Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SDN - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].

The GRID3 RWA - Settlement Extents v3.0 consists of a geographic representation of settlements in Rwanda, in two forms: (1) settlement polygons, and (2) spatial points depicting the centroids of settled grid cells at 3-arc seconds (or ~100 meters) contained within settlement polygons. Both layers include attributes as described in the codebooks. The current version supersedes GRID3 Rwanda Settlement Extents, Version 02; the following changes were made: (1) Development of a new methodology to derive building counts and settlement polygons with open data. (2) Estimation of a probability value for settlement polygons (3) Addition of a building-area measure (4) Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets (5) Elimination of building-count ranges (6) Elimination of variable comparing to previous versions Recommended Citation: Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 RWA - Settlement Extents v3.0. New York: GRID3. [URL]. Accessed [DAY MONTH YEAR].