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

The dataset consists of settlement extents across Réunion, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Niger, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Namibia, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Malawi, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Mauritania, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Mali, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Madagascar, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Lesotho, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Liberia, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Kenya, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Equatorial Guinea, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Guinea-Bissau, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across The Gambia, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Guinea, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Ghana, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Gabon, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Eritrea, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Djibouti, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Cabo Verde, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Comoros, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Cameroon, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Central African Republic, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Botswana, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Benin, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

The dataset consists of settlement extents across Burundi, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent. Updates in this version include: (1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets (2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate (3) Building count ranges have been included (4) Predicted false positives have been included (5) Population data have been removed until new constrained population numbers are available (6) Settlement status has been included, as it pertains to Version 01 of the settlement extents This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop Project at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.