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

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  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 26 May 2023
    Dataset Added on HDX [?]: 26 May 2023
    This dataset updates: As needed
    The dataset consists of settlement extents across São Tomé and Príncipe, 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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    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.
  • 300+ Downloads
    Time Period of the Dataset [?]: December 20, 2020-December 20, 2020 ... More
    Modified [?]: 17 August 2023
    Dataset Added on HDX [?]: 24 November 2021
    This dataset updates: Every year
    Designated institutions to provide learning spaces and learning environments for the teaching of students. This data has been extracted from GRID3 Nigeria site
  • 60+ Downloads
    Time Period of the Dataset [?]: May 17, 2020-March 28, 2024 ... More
    Modified [?]: 27 January 2021
    Dataset Added on HDX [?]: 27 January 2021
    This dataset updates: As needed
    These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Department for International Development (OPP1182408). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. The Zambia Statistics Agency supported and facilitated this work, and provided the household survey datasets. The modelling work was led by Claire A. Dooley with support from Douglas R. Leasure. Geospatial data processing was carried out by Heather R. Chamberlain, Claire A. Dooley and Oliver Pannell. Coordination and stakeholder engagement was led by Heather R. Chamberlain and Claire A. Dooley with support from Polly Marshall. Oversight was provided by Andrew J. Tatem and Attila N. Lazar. Note, these data are operational population estimates and are not official government statistics For further details, please, read ZMB_population_v1_0_README.pdf Recommended citation WorldPop (School of Geography and Environmental Science, University of Southampton). 2020. Bottom-up gridded population estimates for Zambia, version 1.0. https://dx.doi.org/10.5258/SOTON/WP00662
  • 60+ Downloads
    Time Period of the Dataset [?]: January 11, 2021-March 28, 2024 ... More
    Modified [?]: 27 January 2021
    Dataset Added on HDX [?]: 27 January 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Gridded Population Estimated
    These data were produced by the WorldPop Research Group at the University of Southampton. This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) project funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom Foreign, Commonwealth & Development Office (OPP1182425). Project partners include WorldPop at the University of Southampton, the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation. The Burkina Faso Institut National de la Statistique et de la Démographie supported, facilitated this work, reviewed the results and provided the census database. The modelling work, geospatial data processing, and stakeholder engagement was led by Edith Darin. Support for the statistical modelling was provided by Gianluca Boo, Claire A. Dooley, Douglas R. Leasure and Chris W. Jochem. Support for the engagement work and review of the methods was offered by Mathias Kuépié. Oversight was done by Andrew J. Tatem and Attila N. Lazar. Recommended citation: WorldPop and Institut National de la Statistique et de la Démographie du Burkina Faso. 2021. Census based gridded population estimates for Burkina Faso (2019), version 1.0. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00687
  • 200+ Downloads
    Time Period of the Dataset [?]: December 22, 2020-December 22, 2020 ... More
    Modified [?]: 12 May 2023
    Dataset Added on HDX [?]: 12 May 2023
    This dataset updates: Every year
    Nigeria National Roads Network including Major Roads, Residential Roads, Tertiary Roads and Track Roads
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 4 August 2023
    Dataset Added on HDX [?]: 26 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    The dataset consists of settlement extents across Mauritius, 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.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 4 August 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    The dataset consists of settlement extents across Côte d'Ivoire, 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 4 August 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    The dataset consists of settlement extents across Republic of the Congo, 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    The dataset consists of settlement extents across Angola, 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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 23 May 2023
    Dataset Added on HDX [?]: 23 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.
  • 70+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-January 01, 2021 ... More
    Modified [?]: 24 May 2023
    Dataset Added on HDX [?]: 24 May 2023
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents Version 2
    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.