The two layers contained within the GRID3 GAB - Settlement Extents v3.0 include:
The current version supersedes GRID3 GAB - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GAB - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/zmc2-r660. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 ETH - Settlement Extents v3.0 include:
The current version supersedes GRID3 ETH - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ETH - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/2hhy-yd24. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 ERI - Settlement Extents v3.0 include:
The current version supersedes GRID3 ERI - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ERI - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/1r2n-0j10. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 DJI - Settlement Extents v3.0 include:
The current version supersedes GRID3 DJI - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 DJI - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/hwps-jn87. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 CPV - Settlement Extents v3.0 include:
GRID3_CPV_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons.
GRID3_CPV_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells.
The current version supersedes GRID3 CPV - Settlement Extents v2.0; the following changes were made:
Development of a new methodology to derive building counts and settlement polygons with open data.
Estimation of a probability value for settlement polygons
Addition of a building-area measure
Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets
Elimination of building-count ranges
Elimination of variable comparing to previous versions
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 CPV - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/nrt8-am44. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 COM - Settlement Extents v3.0 include:
The current version supersedes GRID3 COM - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 COM - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/5v9f-tm89. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 COG - Settlement Extents v3.0 include:
The current version supersedes GRID3 COG - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 COG - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/pt06-ef20. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 CMR - Settlement Extents v3.0 include:
The current version supersedes GRID3 CMR - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 CMR - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/hsw1-e629. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 CIV - Settlement Extents v3.0 include:
The current version supersedes GRID3 CIV - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 CIV - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/5f1x-1356. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 CAF - Settlement Extents v3.0 include:
The current version supersedes GRID3 CAF - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 CAF - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/b3h7-2k33. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 BWA - Settlement Extents v3.0 include:
This is the settlement extents layer.
The current version supersedes GRID3 BWA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 BWA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/yk00-pw68. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 BFA - Settlement Extents v3.0 include:
The current version supersedes GRID3 BFA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 BFA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/4z03-2v66. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 BEN - Settlement Extents v3.0 include:
The current version supersedes GRID3 BEN - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 BEN- Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/yen9-aj46. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 BDI - Settlement Extents v3.0 include:
The current version supersedes GRID3 BDI - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 BDI - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/hgbb-ec60. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SHN - Settlement Extents v3.0 include:
GRID3_SHN_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons.
GRID3_SHN_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells.
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SHN - Settlement Extents v3.0. New York: GRID3. https://doi.org/10.7916/fya2-0h07. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MYT - Settlement Extents v3.0 include:
GRID3_MYT_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons.
GRID3_MYT_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells.
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MYT - Settlement Extents v3.0. New York: GRID3. https://doi.org/10.7916/8vx3-fh25. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
Variable name in shapefile | Title | Interpretation |
pop | Estimated population | Number of people per 1x1 square kilometer |
water30 | Need more than 30 minutes to get water | Percent of people who live in a household that takes more than 30 minutes to fetch and retrieve water |
toilet | Share toilets with others or do not have a toilet | Proportion of people who live in a household that shares toilets with other households or do not have a toilet |
no_piped | Have no piped-in drinking water | Percent of people who live in a household that does not have piped-in drinking water in the home |
hiv | Self report positive HIV result | Percent of adults (15-49) that self report a positive HIV result |
edu_no | Household head has no education | Percent of people living in a household whose head has no education |
edu_prim | Household head has some or complete primary education | Percent of people living in a household whose head has some or complete primary education |
edu_sech | Household head has at least some secondary education | Percent of people living in a household whose head has at least some secondary education |
radio | Have access to radio or have regular adult radio listeners at home | Percent of people in a household that owns a radio or has at least one adult (15-49) that listens to radio at least once per week |
tv | Have access to TV or have regular adult TV viewers at home | Percent of people in a household that owns a TV or has at least one adult (15-49) that watches TV at least once per week |
news | Regularly read newspaper | Percent of adults (15-49) that reads newspaper at least once per week |
pop1549 | Estimated adult population (15-49) | Number of adults (15-49) per 1x1 square kilometer |
exp_* | Exposure Risk Profile | This profile is an index representing risk of exposure to COVID-19. Columns exp_1 to exp_5 show the number of people in an area at different risk levels. Column exp_s shows the average risk score at the administrative level of interest. |
comor_* | Co-morbidities Risk Profile | This profile identifies population that may be at-risk of severe COVID-19 infection or hospitalization. Columns comor_1 to comor_5 show the number of people in an area at different risk levels. Column comor_s shows the average risk score at the administrative level of interest. |
socio_* | Socio-economic Vulnerability Risk | This profile is an index of socio-economic vulnerability to COVID-19, highlighting poor populations with limited options to cope with economic shocks. Columns socio_1 to socio_5 show the number of people in an area at different risk levels. Column socio_s shows the average risk score at the administrative level of interest. |
com_* | Communication Access Risk Profile | This profile identifies populations with limited access to communications media. Columns com_1 to com_5 show the number of people in an area at different risk levels. Column com_s shows the average risk score at the administrative level of interest. |
access_* | Health Facility Access Risk | This profile identifies population facing high risk resulting from limited access to health facilities. Columns access_1 to access_5 show the number of people in an area at different risk levels. Column access_s shows the average risk score at the administrative level of interest. |
total_* | Total COVID-19 Risk | This profile is an index of the total COVID-19 Risk combining the comorbidities profile, the health facilities access risk profile, and the exposure risk profile. Columns total_1 to total_5 show the number of people in an area at different risk levels. Column total_s shows the average risk score at the administrative level of interest. |
Vous êtes libre de partager, copier, et d’utiliser le matériel tel quel sans modification à des fins autres que commerciales et vous devez citer la source du fichier en tant que: Ministère de la santé et de l'hygiène publique, 2022, Burkina Faso District Sanitaires 2022, téléchargé le JOUR/MOIS/ANNÉE
You are free to share, copy, and use the material as is without modification for non-commercial purposes. You must cite the source of the file as: Ministère de la Santé et de l’Hygiène Publique. 2022, downloaded on DAY/MONTH/YEAR
This dataset was produced based on the projected 2021 population totals for Communes derived from the 2012 Population and Housing Census, and provided by INS. The projection for all GIS files is the geographic coordinate system WGS84 (World Geodetic System 1984).
The zip files contain the following:
These data feature gridded population estimates (~100 m grid cells) and population estimates for specific age groups, with national coverage for Zambia.
The zipfiles contain the following files:
ZMB_population_v1_0_gridded.tif
This geotiff raster contains estimates of total population size for each approximately 100m grid cell (0.0008333 decimal degrees grid) across Zambia. The values are the mean of the posterior probability distribution for the predicted population size in each grid cell. NA values represent areas that were mapped as unsettled according to building footprints data [8]. Note: This raster is accompanied by one ancillary file that contains metadata (ZMB_population_v1_0_gridded.tif.xml).
ZMB_population_v1_0_uncertainty.tif
This geotiff raster contains estimates of uncertainty in the population estimates within each approximately 100m grid cell across Zambia. The uncertainty values are the difference between the upper and lower 95% credible intervals of the posterior prediction divided by the mean of the posterior prediction: (upper – lower)/mean. These numbers provide a comparable measure of uncertainty in population estimates across the country. Uncertainty estimates cannot be summed across grid cells to produce an uncertainty measure for a multi-cell area. Uncertainty for multiple cells can be calculated using the cells’ posterior predictions. Note: This raster is accompanied by one ancillary file that contains metadata (ZMB_population_v1_0_uncertainty.tif.xml).
ZMB_population_v1_0_agesex.zip
This zip file contains 40 rasters in geotiff format. Each raster provides gridded population estimates for an age-sex group. We provide 36 rasters for the commonly reported age-sex groupings of sequential age classes for males and females separately. These are labelled with either an “m” (male) or an “f” (female) followed by the number of the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1 year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five year bins labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”. We provide an addition four rasters that represent demographic groups often targeted by programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f15_49” (all females between the ages of 15 and 49, inclusive). These data were produced using the gridded age-sex proportions from Carioli et al. [1] by multiplying the gridded population estimates(ZMB_population_v1_0_gridded.tif) by the gridded age-sex proportions which differ by region. While this data represents population counts, values contain decimals, i.e. fractions of people. This is because we do not estimate which grid cell each individual in a given age group occupies. For example, if four grid cells next to each other have values of 0.25 this indicates that there is 1 person of that age group somewhere in those four grid cells.
Note, these data are operational population estimates and are not official government statistics.
The downloadable Metadata provides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited
Contact release@worldpop.org for more information or gohere.
Data 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 CREDITS: 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.
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) programme funded by the Bill and Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office. It is implemented by Columbia University’s Center for International Earth Science Information Network (CIESIN), the United Nations Population Fund (UNFPA), WorldPop at the University of Southampton, and the Flowminder Foundation.
These data include gridded estimates of population sizes at approximately 100 m resolution with national coverage across South Sudan. This includes estimates of total population sizes and population counts in 40 different age-sex groups. It also includes a breakdown of the total population sizes into internally displaced persons (IDPs) and non-IDPs. These results were produced using publicly available census projections from the South Sudan National Bureau of Statistics and displacement data from the International Organisation for Migration (IOM) and the United Nations Refugee Agency (UNHCR), as well as building footprints from Maxar/Ecopia that were derived from recent satellite imagery. Note that this dataset is most likely to represent South Sudan's population distribution as of September 2020 given the age of the input data.
1.SSD_population_v2_0_gridded.zip
This zip file contains three rasters in geotiff format:
SSD_population_v2_0_gridded_population.tif
This geotiff raster contains estimates of total population size for each approximately 100 m grid cell (0.0008333 decimal degrees grid) across South Sudan. NA values represent grid cells where no building footprints were present. Zero values represent grid cells that contain building footprints but are estimated to contain no people due to displacement of people away from those grid cells. These population estimates include decimals (e.g. 10.3 people). This provides more accurate population totals when grid cells are summed. A population estimate of 0.5 people in each of two neighboring grid cells would indicate an expectation that one person lives somewhere within those two grid cells.
SSD_population_v2_0_gridded_nonidps.tif
This geotiff raster contains estimates of non-internally displaced persons (non-IDPs) for each approximately 100 m grid cell (0.0008333 decimal degrees grid) across South Sudan, i.e. the number of people who have not been displaced from another area. This raster plus the SSD_population_v2_0_gridded_idps.tif raster equal the values given in the SSD_population_v2_0_gridded_population.tif raster.
SSD_population_v2_0_gridded_idps.tif
This geotiff raster contains estimates of internally displaced persons (IDPs) for each approximately 100 m grid cell (0.0008333 decimal degrees grid) across South Sudan, i.e. the number of people who have been displaced from another area. This raster plus the SSD_population_v2_0_gridded_nonidps.tif raster equal the values given in the SSD_population_v2_0_gridded_population.tif raster.
2. SSD_population_v2_0_agesex.zip
This zip file contains 40 rasters in geotiff format:
Each raster provides gridded population estimates for an age-sex group. These were derived from the SSD_population_v2_0_gridded_population.tif raster. Note that, in this dataset, we do not provide age-sex group estimates for non-IDPs and IDPs separately. We provide 36 rasters for the commonly reported age-sex groupings of sequential age classes for males and females separately. These are labelled with either an “m” (male) or an “f” (female) followed by the number of the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1 year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five year bins labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”. We provide an addition four rasters that represent demographic groups often targeted by programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f15_49” (all females between the ages of 15 and 49, inclusive).
These data were produced by the WorldPop Research Group at the University of Southampton.
Data Citation: WorldPop (School of Geography and Environmental Science, University of Southampton). 2021. South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0. WorldPop, University of Southampton. doi: 10.5258/SOTON/WP00709 CREDITS: The modelling work was led by Claire Dooley with support from Chris Jochem and oversight by WorldPop director Andy Tatem and GRID3 lead Attila Lazar. The support of the whole WorldPop group is acknowledged, as well as the our GRID3 partners (UNFPA, Columbia University and Flowminder). This work was supported with funding from the Bill & Melinda Gates Foundation (BMGF) and the United Kingdom’s Department for International Development (DFID).
This work is part of the GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development) programme funded by the Bill & Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office. It is implemented by Columbia University’s Center for International Earth Science Information Network (CIESIN), the United Nations Population Fund (UNFPA), WorldPop at the University of Southampton, and the Flowminder Foundation. The primary intended use of these data was aiding the BMGF field teams.
Contact release@worldpop.org for more information or go to here.
Nigeria country-wide operational state boundaries (administrative level 1). Released in September 2020.
The data is available in both spatial and tabular file formats.
Coordinate system: GCS WGS 1984
For full methodological details, please see data release notes available for download here.
Download the data as a zip file.
Copyright\n 2023. Sierra Leone Ministry of Health and Sanitation (MoHS) and \nTrustees of Columbia University in the City of New York.
Dataset citation:
Sierra Leone Ministry of Health and Sanitation (MoHS) and Center for International Earth Science Information Network (CIESIN), Columbia University. 2023. Sierra Leone National Health Facilities Dataset Version 01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/ag19-s334. Accessed DAY MONTH YEAR
These data were produced by the WorldPop Research Group at the\nUniversity of Southampton. This work was part of the GRID3 project with\nfunding from the Bill and Melinda Gates Foundation and the United Kingdom's\nForeign, Commonwealth & Development Office (INV-009579, formerly\nOPP1182425), and GRID3 COVID-19 Support Scale-up (INV-018067). Project\npartners included the United Nations Population Fund, Center for\nInternational Earth Science Information Network in the Columbia Climate School\nat Columbia University, and the Flowminder Foundation. The new age-structured\npopulation estimates are based on the existing Census-based gridded population\nestimates for Burkina Faso (2019), version 1.0 (WorldPop and Institut National\nde la Statistique et de la Demographie du Burkina Faso, 2020). Duygu\nCihan, Heather Chamberlain and Thomas Abbott led the data processing, with\nadvice from Édith Darin.
RELEASE CONTENT
FILE DESCRIPTIONS
The coordinate system for all GIS files\nis the geographic coordinate system WGS84 (World Geodetic System 1984, EPSG:\n4326).
Aggregated_BFA_\nunder18_population _100m.tif
This geotiff raster, at a spatial\nresolution of 3 arc-seconds (approximately 100m at the equator), contains\nestimates of the total population of persons aged under 18 (0-17) per grid cell\nacross Burkina Faso. NA values represent areas that were mapped as unsettled\nbased on gridded building patterns derived from building footprints (Dooley and\nTatem, 2020). These data are stored as floating-point numbers rather than\nintegers to avoid rounding errors in aggregated population totals for larger\nareas.
Aggregated_BFA_18_45_population_100m.tif
This geotiff raster,\nat a spatial resolution of 3 arc-seconds (approximately 100m at the equator),\ncontains estimates of the total population of persons aged 18 to 45 (18-45) per\ngrid cell across Burkina Faso. NA values represent areas that were mapped as\nunsettled based on gridded building patterns derived from building footprints\n(Dooley and Tatem, 2020). These data are stored as floating-point numbers\nrather than integers to avoid rounding errors in aggregated population totals\nfor larger areas.
Aggregated_BFA_over45_population_100m.tif
This geotiff raster, at a spatial resolution of 3 arc-seconds\n(approximately 100m at the equator), contains estimates of the total population\nof persons aged over 45 (46+) per grid cell across Burkina Faso. NA values\nrepresent areas that were mapped as unsettled based on gridded building\npatterns derived from building footprints (Dooley and Tatem, 2020). These data\nare stored as floating-point numbers rather than integers to avoid rounding\nerrors in aggregated population totals for larger areas.
METHODS OVERVIEW
Processing: The existing 2019 gridded population estimates (WorldPop and\nInstitut National de la Statistique et de la Demographie du Burkina Faso, 2020)\ninclude age- and sex- structured population estimates for 5 year age classes,\nbased on the age and sex breakdown of population totals at the national level,\nfrom the preliminary census results. A Sprague multiplier approach was used to\nfurther disaggregate the 5-year age classes at the national level, to create\nthree custom age-classes (under 18, 18-45 and over 45). The population for each\nof these custom age classes, was calculated as the proportion of the total\npopulation at the national level. This proportion was applied to the count of\ntotal population at the grid cell level.
ASSUMPTIONS AND LIMITATIONS
RELEASE HISTORY
Version 1.0\n(25/05/2022) - Original release of this data set.
WORKS CITED
Dooley, C. A. and\nTatem, A.J. 2020. Gridded maps of building patterns throughout sub-Saharan\nAfrica, version 1.0. University of Southampton: Southampton, UK. Source of\nbuilding Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”©\n2020. https://dx.doi.org/10.5258/SOTON/WP00666.
WorldPop\nand Institut National de la Statistique et de la Demographie du Burkina Faso.\n2020. Census-based gridded population estimates for Burkina Faso (2019),\nversion 1.0. WorldPop, University of Southampton. https://dx.doi.org/10.5258/SOTON/WP00687
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
WorldPop\n(www.worldpop.org - School of Geography and Environmental Science, University\nof Southampton; Department of Geography and Geosciences, University of\nLouisville; Departement de Geographie, Universite de Namur) and Center for\nInternational Earth Science Information Network (CIESIN), Columbia University\n(2018). Global High Resolution Population Denominators Project - Funded by the\nBill and Melinda Gates Foundation (OPP1134076).\nhttps://dx.doi.org/10.5258/SOTON/WP00646
", "keyword": [ "BFA", "Age Sex", "Population", "Sub-Saharan Africa", "WorldPop", "GRID3" ], "issued": "2022-05-27T10:15:44.000Z", "modified": "2022-05-27T12:49:24.000Z", "publisher": { "name": "WorldPop" }, "contactPoint": { "@type": "vcard:Contact", "fn": "WorldPop_Soton", "hasEmail": "mailto:noreply@worldpop.org" }, "accessLevel": "public", "spatial": "", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://data.grid3.org/maps/WorldPop::burkina-faso-age-structured-population-to-support-vaccination-planning" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=379af0a911a44cb1b3faff2140c3e203", "landingPage": "https://data.grid3.org/maps/WorldPop::grid3-angola-social-distancing-layers-version-1-0", "title": "GRID3 Angola Social Distancing Layers, Version 1.0", "description": "Social distancing is a public health measure intended to reduce infectious disease transmission, by\nmaintaining physical distance between individuals or households. In the context of the COVID-19\npandemic, populations in many countries around the world have been advised to maintain social\ndistance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly\nadvised. Feasibility of social distancing is dependent on the availability of space and the number of\npeople, which varies geographically. In locations where social distancing is difficult, a focus on\nalternative measures to reduce disease transmission may be needed.The GRID3 NGA – Operational Wards v4.0 dataset provides operational ward boundary polygons for all 36 states and the Federal Capital Territory (FCT).
This release updates the boundaries for 31 states and the FCT. Benue, Cross River, Ebonyi, Plateau and Taraba are included but have not been updated, and will be updated in the December release. This version supersedes the previously published Version 3.0. The following changes were made:
Download state level data:
For more information on the methodology and data sources used during the production of this data, click here.
GRID3 is continuously incorporating new input data into its products—this includes raw field data collected from health campaigns (often a few states at a time, at irregular intervals) and program data from GRID3 partners. When an update is made to one GRID3 product, GRID3 strives to include those updates in its other data products as quickly and efficiently as possible to ensure timely and seamless integration across all core spatial data. This v4.0 is the 3rd update to operational ward boundaries in 2026, covering a total of 31 states and FCT, and the next will constitute updates to operational ward boundaries for the entire country.
Each release uses the latest household registration, settlement, and health facility data, as well as aligns ward boundaries with other GRID3 core products, including settlement extents and blocks.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University 2026. GRID3 NGA - Operational Wards v4.0. New York: Columbia University. https://doi.org/10.7916/3v3g-f998. Accessed [DAY MONTH YEAR].
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The dataset is a non-exhaustive, non-validated geographic representation of health facility points for all 36 states and the FCT. This release supersedes v3.0, which updated 23 states and the FCT, and supersedes GRID3 NGA Health Facilities v2.0, the last complete national release. The following changes were made:
Download state level data:
For more information on the methodology and data sources used during the production of this data, click here.
GRID3 is continuously incorporating new input data into its products—this includes fieldwork managed by GRID3, facility lists updated annually from the federal Ministry of Health, and program data from GRID3 partners. When an update is made to one GRID3 product, GRID3 strives to include those updates in its other data products as quickly and efficiently as possible to ensure timely and seamless integration across all core spatial data. This version is the second update to health facilities in 2026, covering all states and the FCT.
Each release uses the latest available data from relevant sources to improve the completeness and consistency of the health facility dataset.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University 2026. GRID3 NGA - Health Facilities v4.0. New York: Columbia University. https://doi.org/10.7916/pjpv-9q55. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This version has been superseded by Version 4.0.
The GRID3 NGA - Health Facilities v3.0 dataset is a non-exhaustive, non-validated geographic representation of health facility points in Abia, Adamawa, Bauchi, Bayelsa, Borno, Delta, Enugu, FCT Abuja, Gombe, Jigawa, Kaduna, Kano, Katsina, Kebbi, Kogi, Kwara, Nasarawa, Niger, Ogun, Osun, Oyo, Sokoto, Yobe, Zamfara states. This dataset is considered operational.This current version supersedes the GRID3 NGA - Health Facilities v2.0 dataset for the provinces mentioned above.
For more information on the methodology and data sources used during the production of these data, click here.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University 2026. GRID3 NGA - Health Facilities v3.0. New York: Columbia University. https://doi.org/10.7916/s6cq-1q98. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This version has been superseded by Version 4.0.
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 Nigeria Health Facility Registry (HFR) and GRID3. This dataset is considered operational.
This current version supersedes the GRID3 NGA - Health Facilities dataset; the following changes were made:
For more information on the methodology and data sources used during the production of this data, see the Data Release Notes.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University 2024. GRID3 NGA - Health Facilities v2.0. New York: GRID3. https://doi.org/10.7916/kv1n-0743. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This version has been superseded by Version 4.0.
The GRID3 NGA - Operational Wards v3.0 dataset provides operational ward boundary polygons for 24 states in Nigeria: Abia, Adamawa, Bauchi, Bayelsa, Borno, Delta, Enugu, FCT Abuja, Gombe, Jigawa, Kaduna, Kano, Katsina, Kebbi, Kogi, Kwara, Nasarawa, Niger, Ogun, Osun, Oyo, Sokoto, Yobe, and Zamfara. These boundaries are intended for operational use and have not yet undergone full validation by relevant government authorities.
This release includes both newly added states and revisions to states previously published in GRID3 NGA - Operational Wards v2.0.
For more information on the methodology and data sources used during the production of these data, click here.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 NGA - Operational Wards v3.0. New York: Columbia University . https://doi.org/10.7916/2pfj-hq78. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD – Nord-Kivu Geospatial Data 20260820 version and v9.0 GRID3 COD for health areas, health facilities, health zones, and settlement names layers for Nord-Kivu Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions, as it was developed under a compressed timeline to enable timely information sharing and support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
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. 2026. GRID3 COD - Nord-Kivu - Geospatial Data Layers 20260928. New York: Columbia University. https://data.grid3.org/maps/db0a8182a6c14e5e8980f8e0dab48118/about Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD – Nord-Kivu Geospatial Data 20260820 version and v9.0 GRID3 COD for health areas, health facilities, health zones, and settlement names layers for Nord-Kivu Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions, as it was developed under a compressed timeline to enable timely information sharing and support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
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. 2026. GRID3 COD - Nord-Kivu - Geospatial Data Layers 20260928. New York: Columbia University. https://data.grid3.org/maps/db0a8182a6c14e5e8980f8e0dab48118/about Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD – Nord-Kivu Geospatial Data 20260820 version and v9.0 GRID3 COD for health areas, health facilities, health zones, and settlement names layers for Nord-Kivu Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions, as it was developed under a compressed timeline to enable timely information sharing and support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
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. 2026. GRID3 COD - Nord-Kivu - Geospatial Data Layers 20260928. New York: Columbia University. https://data.grid3.org/maps/db0a8182a6c14e5e8980f8e0dab48118/about Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD – Nord-Kivu Geospatial Data 20260820 version and v9.0 GRID3 COD for health areas, health facilities, health zones, and settlement names layers for Nord-Kivu Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions, as it was developed under a compressed timeline to enable timely information sharing and support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
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. 2026. GRID3 COD - Nord-Kivu - Geospatial Data Layers 20260928. New York: Columbia University. https://data.grid3.org/maps/db0a8182a6c14e5e8980f8e0dab48118/about Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD – Nord-Kivu Geospatial Data 20260820 version and v9.0 GRID3 COD for health areas, health facilities, health zones, and settlement names layers for Nord-Kivu Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions, as it was developed under a compressed timeline to enable timely information sharing and support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
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. 2026. GRID3 COD - Nord-Kivu - Geospatial Data Layers 20260928. New York: Columbia University. https://data.grid3.org/maps/db0a8182a6c14e5e8980f8e0dab48118/about Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The current version supersedes the GRID3 COD - Settlement Names v8.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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. 2026. GRID3 COD - Settlement Names v9.0. New York: Columbia University. https://doi.org/10.7916/77t0-h465. Accessed [DAY MONTH YEAR].
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The current version supersedes the GRID3 COD - Health Facilities v8.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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. 2026. GRID3 COD - Health Facilities v9.0. New York: Columbia University. https://doi.org/10.7916/k9sy-hc13. Accessed [DAY MONTH YEAR].
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The current version supersedes the GRID3 COD - Health Areas v8.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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. 2026. GRID3 COD - Health Areas v9.0. New York: Columbia University. https://doi.org/10.7916/hv5g-p227. Accessed [DAY MONTH YEAR].
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The current version supersedes the GRID3 COD - Health Zones v8.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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. 2026. GRID3 COD - Health Zones v9.0. New York: Columbia University. https://doi.org/10.7916/06qw-9y10. Accessed [DAY MONTH YEAR].
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD–Ituri Geospatial Data Layers 20260730 version and v9.0 GRID3 COD health areas, health facilities, health zones, and settlement names layers for Ituri Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions. It was developed under a compressed timeline to enable timely information sharing and to support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
Dataset citation
Center for Integrated Earth System Information Network (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2026. GRID3 COD - Ituri - Geospatial Data Layers 20260914. New York: Columbia University. https://data.grid3.org/maps/ba734eb2f87244b591ed386eb475739f/about . Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors welcome feedback on the data, including suggestions, reports of errors or omissions, difficulties using the data, and format preferences. For dataset-related questions, please contact: info@ciesin.columbia.edu.
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD–Ituri Geospatial Data Layers 20260730 version and v9.0 GRID3 COD health areas, health facilities, health zones, and settlement names layers for Ituri Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions. It was developed under a compressed timeline to enable timely information sharing and to support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
Dataset citation
Center for Integrated Earth System Information Network (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2026. GRID3 COD - Ituri - Geospatial Data Layers 20260914. New York: Columbia University. https://data.grid3.org/maps/ba734eb2f87244b591ed386eb475739f/about . Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors welcome feedback on the data, including suggestions, reports of errors or omissions, difficulties using the data, and format preferences. For dataset-related questions, please contact: info@ciesin.columbia.edu.
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD–Ituri Geospatial Data Layers 20260730 version and v9.0 GRID3 COD health areas, health facilities, health zones, and settlement names layers for Ituri Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions. It was developed under a compressed timeline to enable timely information sharing and to support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
Dataset citation
Center for Integrated Earth System Information Network (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2026. GRID3 COD - Ituri - Geospatial Data Layers 20260914. New York: Columbia University. https://data.grid3.org/maps/ba734eb2f87244b591ed386eb475739f/about . Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors welcome feedback on the data, including suggestions, reports of errors or omissions, difficulties using the data, and format preferences. For dataset-related questions, please contact: info@ciesin.columbia.edu.
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD–Ituri Geospatial Data Layers 20260730 version and v9.0 GRID3 COD health areas, health facilities, health zones, and settlement names layers for Ituri Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions. It was developed under a compressed timeline to enable timely information sharing and to support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
Dataset citation
Center for Integrated Earth System Information Network (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2026. GRID3 COD - Ituri - Geospatial Data Layers 20260914. New York: Columbia University. https://data.grid3.org/maps/ba734eb2f87244b591ed386eb475739f/about . Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors welcome feedback on the data, including suggestions, reports of errors or omissions, difficulties using the data, and format preferences. For dataset-related questions, please contact: info@ciesin.columbia.edu.
To download the data, use the layer-specific links above.
This data package supersedes the earlier GRID3 COD–Ituri Geospatial Data Layers 20260730 version and v9.0 GRID3 COD health areas, health facilities, health zones, and settlement names layers for Ituri Province only. It does not supersede versions of these layers for other provinces or geographies. The following changes were made:
This dataset may contain unintended omissions. It was developed under a compressed timeline to enable timely information sharing and to support teams engaged in emergency response efforts.
For more information on the methodology and data sources used to produce this dataset, see the associated documentation.
Dataset citation
Center for Integrated Earth System Information Network (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2026. GRID3 COD - Ituri - Geospatial Data Layers 20260914. New York: Columbia University. https://data.grid3.org/maps/ba734eb2f87244b591ed386eb475739f/about . Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors welcome feedback on the data, including suggestions, reports of errors or omissions, difficulties using the data, and format preferences. For dataset-related questions, please contact: info@ciesin.columbia.edu.
This version supersedes the GRID3 NGA - Settlement Extents v4.0. The following changes were made:
For more information on the methodology and data sources used during the production of these data, click here.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 NGA - Settlement Extents v4.1. New York: Columbia University. https://doi.org/10.7916/73v5-mq06. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
NOTE: This version has been superseded by the GRID3 COD - Health Facilities v9.0.
The GRID3 COD - Health Facilities v8.0 dataset consists of health facility points with name, location, health zone, and health area, among other attributes, for all the twenty-six provinces in the Democratic Republic of the Congo (COD).
The current version supersedes the GRID3 COD - Health Facilities v7.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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 v8.0. New York: Columbia University. https://doi.org/10.7916/f1ft-y872. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
NOTE: This version has been superseded by the GRID3 COD - Settlement Names v9.0.
The GRID3 COD - Settlement Names v8.0 dataset consists of settlement points with name, location, and other attributes for all the twenty-six provinces in the Democratic Republic of the Congo (COD).
The current version supersedes the GRID3 COD - Settlement Names v7.0. The following changes were made:
The data for Tanganyika was updated
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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 v8.0. New York: Columbia University. https://doi.org/10.7916/qpnw-1c89. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
NOTE: This version has been superseded by the GRID3 COD - Health Zones v9.0.
The GRID3 COD - Health Zones v8.0 dataset consists of health zone boundaries with name and other related attributes for all the twenty-six provinces in the Democratic Republic of the Congo (COD).
The current version supersedes the GRID3 COD - Health Zones v7.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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 v8.0. New York: Columbia University. https://doi.org/10.7916/asa4-jc67. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
NOTE: This version has been superseded by the GRID3 COD - Health Areas v9.0.
The GRID3 COD - Health Areas v8.0 dataset consists of health area boundaries with name, health zone, and other attributes for all the twenty-six provinces in the Democratic Republic of the Congo (COD).
The current version supersedes the GRID3 COD - Health Areas v7.0. The following changes were made:
Download province level data:
For more information on the methodology and data sources used during the production of this data, click here.
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 v8.0. New York: Columbia University. https://doi.org/10.7916/kcq9-7s03. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
NOTE: This version has been superseded by the GRID3 NGA - Settlement Extents v4.1.
The GRID3 NGA - Settlement Extents v4.0 dataset consists of a geographic representation of settlements in Nigeria. Settlement extents are further delineated into settlement blocks nested within urban and small settlement areas, generated from integrated road, railway, river, settlement extent, building footprint, and remote-sensing inputs. Each block is enriched with morphological, environmental and building metrics.
This version supersedes GRID3 NGA - Settlement Extents v3.1. The following changes were made:
For more information on the methodology and data sources used during the production of these data, click here.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 NGA - Settlement Extents v4.0. New York: GRID3. https://doi.org/10.7916/fr96-f546. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This version supersedes GRID3 COD - Settlement Extents v3.1. The following changes were made:
For more information on the methodology and data sources used during the production of these data, click here.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 COD - Settlement Extents v4.0. New York: Columbia University. https://doi.org/10.7916/bb5b-9b79. Accessed [DAY MONTH YEAR].
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The dataset was produced by integrating IOM-DTM displacement assessment data with GRID3 administrative boundary datasets using an automated spatial harmonisation workflow developed by WorldPop, University of Southampton.
The released GeoPackages contain Full Wide-Format (FWF) datasets, where multiple reporting rounds are stored as attributes within a single GIS layer.
Administrative levels included:
Operational regions included:
The datasets are intended to support humanitarian analysis, operational planning, mapping, research, and the development of future displacement modelling approaches.
Recommended Citation:
Noskov, A., Qader, S., & Lazar, A. (2026). Spatially Integrated Displacement Datasets for Nigeria (NGA), Version 1. WorldPop, University of Southampton. DOI: 10.5258/SOTON/WP00826
The dataset was produced by integrating IOM-DTM displacement assessment data with GRID3 administrative boundary datasets using an automated spatial harmonisation workflow developed by WorldPop, University of Southampton.
The released GeoPackages contain Full Wide-Format (FWF) datasets, where multiple reporting rounds are stored as attributes within a single GIS layer.
Administrative levels included:
Operational regions included:
The datasets are intended to support humanitarian analysis, operational planning, mapping, research, and the development of future displacement modelling approaches.
Recommended Citation:
Noskov, A., Qader, S., & Lazar, A. (2026). Spatially Integrated Displacement Datasets for Nigeria (NGA), Version 1. WorldPop, University of Southampton. DOI: 10.5258/SOTON/WP00826
The dataset was produced by integrating IOM-DTM displacement assessment data with GRID3 administrative boundary datasets using an automated spatial harmonisation workflow developed by WorldPop, University of Southampton.
The released GeoPackages contain Full Wide-Format (FWF) datasets, where multiple reporting rounds are stored as attributes within a single GIS layer.
Administrative levels included:
Operational regions included:
The datasets are intended to support humanitarian analysis, operational planning, mapping, research, and the development of future displacement modelling approaches.
Recommended Citation:
Noskov, A., Qader, S., & Lazar, A. (2026). Spatially Integrated Displacement Datasets for Nigeria (NGA), Version 1. WorldPop, University of Southampton. DOI: 10.5258/SOTON/WP00826
The dataset was produced by integrating OCHA displacement assessment data with GRID3 administrative and health boundary datasets using an automated spatial harmonisation workflow developed by WorldPop, University of Southampton.
The released GeoPackages contain Full Wide-Format (FWF) datasets, where multiple reporting rounds are stored as attributes within a single GIS layer.
Administrative levels included:
The datasets are intended to support humanitarian analysis, operational planning, mapping, research, and the development of future displacement modelling approaches.
Recommended Citation:
Noskov, A., Qader, S., & Lazar, A. (2026). Spatially Integrated Displacement Datasets for the Democratic Republic of the Congo (COD), Version 1. WorldPop, University of Southampton. DOI: 10.5258/SOTON/WP00826
The GRID3 NGA - Travel Time Friction Surface v1.0 dataset is a spatial data layer in tiff format. The datasets contain 2 layers:
The resolution is 30 m. The unit of measurement in both surfaces is minutes per meter.
For more information on the methodology and data sources used during the production of this data, click here.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University. 2025. GRID3 NGA - Travel Time Friction Surface v1.0. New York: Columbia University. https://doi.org/10.7916/tw5k-ys98. Accessed <DAY MONTH YEAR>
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
For more information on the methodology and data sources used during the production of this data, click here.
Dataset citation:
Center for Integrated Earth System Information (CIESIN), Columbia University. 2025. GRID3 NGA - Roads v1.0.New York: Columbia University. https://doi.org/10.7916/b42r-6w17. Accessed <DAY MONTH YEAR>.
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences.
For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The zip files contain the following files:
SLE_population_v2_0_gridded.tif
This geotiff raster contains estimates of total population size for each approximately 100 m grid cell (0.0008333 decimal degrees grid or 3 arc seconds) across Sierra Leone. NA values represent areas that were mapped as unsettled based on gridded building patterns derived from building footprints (Dooley and Tatem, 2020).These data are stored as floating-point numbers rather than integers to avoid
rounding errors in aggregated population totals for larger areas.
SLE_population_v2_0_agesex.zip
This zip file contains 40 geotiff rasters that contain counts of people for each age-sex group in each approximately 100 m grid cell across the study area. We provide 36 rasters for the commonly reported age classes for males and females separately. These files are labelled with either an “m” (male) or an “f” (female) followed by the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1-year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five-year cohorts labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”. We provide four additional 3 rasters that represent demographic groups often needed by programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f15_49” (all females between the ages of 15 and 49, inclusive).
Data Citation: WorldPop and Statistics Sierra Leone. 2021. Census disaggregated gridded population estimates for Sierra Leone (2015), version 2.0. University of Southampton. [doi: 10.5258/SOTON/WP00714]
Credits: These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the Geo-referenced Infrastructure and Demographic Data for Development project (GRID3) with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included 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. We acknowledge the whole WorldPop Research Group and GRID3 partners for overall project support. Edith Darin (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott and Heather Chamberlain (WorldPop) supported the covariates processing work. Statistics Sierra Leone enumeration area-level population count were digitally mapped and shared by DSTI (the Directorate of Science, Technology & Innovation, Sierra Leone). Jolynn Schmidt (CIESIN) processed the
enumeration area boundaries.
The downloadable Metadata provides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited
Contact release@worldpop.org for more information or go here.
", "keyword": [ "SLE", "Sierra Leone", "population" ], "issued": "2024-04-25T20:25:06.000Z", "modified": "2026-02-19T16:58:08.000Z", "publisher": { "name": "WorldPop" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ekelly_GRID3", "hasEmail": "https://grid3.org/about-us/contact" }, "accessLevel": "public", "spatial": "-13.3104,6.9229,-10.2704,10.0038", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://data.grid3.org/maps/GRID3::grid3-sle-population-v2-0-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiles.arcgis.com/tiles/BU6Aadhn6tbBEdyk/arcgis/rest/services/GRID3_SLE_population_v2/MapServer/0" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=19db64adc630490f9117188647477928&sublayer=0", "landingPage": "https://data.grid3.org/maps/GRID3::grid3-cod-travel-time-friction-surface-v1-0", "title": "GRID3 COD - Travel Time Friction Surface v1.0", "description": "The GRID3 COD - Travel Time Friction Surface v1.0 dataset is a spatial data layer in tiff format. The datasets contain 2 layers:
The resolution is 30 m. The unit of measurement in both surfaces is minutes per meter.
For more information on the methodology and data sources used during the production of this data, click here.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 COD - Travel Time Friction Surface v1.0. New York: Columbia University. https://doi.org/10.7916/11yp-gs23. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
For more information on the methodology and data sources used during the production of this data, click here.
Dataset citation
Center for Integrated Earth System Information (CIESIN), Columbia University. 2026. GRID3 COD - Roads v1.0. New York: Columbia University. https://doi.org/10.7916/00gb-e164. Accessed <DAY MONTH YEAR>.
Contacts and data queries
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The data are provided in geodatabase file formats.
File name: GRID3_SLE_settlement_names_v1.0.gdb with the following layers:
Extent: Sierra Leone
Coordinate system: GCS WGS 1984
For full methodological details, please see data release notes available for download here.
Download the data as a zip file.
Dataset citation:
Center for International Earth Science Information Network (CIESIN), Columbia University, Statistics Sierra Leone, and Sierra Leone Ministry of Basic and Senior Secondary Education. 2023. GRID3 SLE - Settlement Names v1. 0. New York: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/bxa4-bv46. Accessed DAY MONTH YEAR
The data are available for download in OGC Geopackage format contained in a zip file.
This data release supersedes the dataset “GRID3 COD - Religious Centers: five provinces v1.0”.
This operational dataset has not been fully validated by government officials or ministries.
For more information on the methodology and data sources used during the production of this data, see the Data Release Notes.
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 - Religious Centers v1.0. New York: GRID3. https://doi.org/10.7916/hesc-8041. Accessed <DAY MONTH YEAR>.
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for the Democratic Republic of the Congo (DRC), along with uncertainty estimates. The data is a mosaic of gridded population estimates produced for all 26 provinces namely Bas-Uele, Equateur, Haut-Katanga, Haut-Lomami, Haut-Uele, Ituri, Kasai, Kasai-Central, Kasai-Oriental, Kinshasa, Kongo-Central, Kwango, Kwilu, Lomami, Lualaba, Mai-Ndombe, Maniema, Mongala, Nord-Kivu, Nord-Ubangi, Sankuru, Sud-Kivu, Sud-Ubangi, Tanganyika, Tshopo and Tshuapa. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC, settlement extent and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. Please note that PNLP data were collected across the DRC, except in Kasai, Kasai Central, Kasai Oriental, Kwango, Nord Ubangi and Lualaba, where the modelling utilised observations from neighbouring provinces
The projection for all GIS files is the geographic coordinate system WGS84 (World Geodetic System 1984). Grid cells with values of NA represent areas that were mapped as unsettled according to building footprints data or being outside the national boundary.
This data also contains mastergrid for the entire DRC.
SUGGESTED CITATION
Yankey O., Nnanatu C., Boo G., Chaudhuri S., Krishnaveni K S, Megheib M, Bonnie A., Chamberlain H., Lazar A. N., Tatem A. J. 2025. Bottom-up gridded population estimates for the Democratic Republic of Congo, version 4.4. WorldPop. https://wopr.worldpop.org/?COD/Population/v4.4
The two layers contained within the GRID3 AGO - Settlement Extents v3.0 include:
The current version supersedes GRID3 AGO - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 AGO - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/hmgn-9b91. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The zip files contain the following files:
MOZ_population_v1_1_gridded.tif
This GeoTIFF raster (.tif), at a spatial resolution of 3 arc-seconds (approximately 100m at the equator), contains estimated population counts per grid cell across Mozambique. The projection is the geographic coordinate system WGS84 (World Geodetic System 1984). ‘NoData’ values represent areas that were mapped as unsettled based on building footprints from “Digitize Africa data © 2020 Maxar Technologies, Ecopia.AI”. These data are stored as floating-point numbers rather than integers to avoid rounding errors in aggregated populations for larger areas.
MOZ_population_v1_1_agesex.zip
This zip file contains 40 rasters in GeoTIFF format. Each raster provides gridded population estimates for an age-sex group. We provide 36 rasters for the commonly reported age-sex groupings of sequential age classes for males and females separately. The files are labelled with either an “m” (male) or an “f” (female) followed by the number of the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1 year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five year bins labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”.
We provide an additional four rasters that represent aggregated demographic groups of special interest for development programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f15_49” (all females between the ages of 15 and 49, inclusive). These data were produced using the peanutButter R package (Leasure et al. 2020b) which multiplied the gridded population estimates (MOZ_population_v1_1_gridded.tif) by gridded age-sex proportions that differ by region (WorldPop et al. 2018, Pezzulo et al. 2017).
While each data file represents population counts, individual values contain decimals, i.e. fractions of people. This is because we do not estimate which grid cell each individual in a given age group occupies. For example, if four grid cells next to each other have values of 0.25 this indicates that there is one person of that age group somewhere in those four grid cells
This work provides an estimate of the geographic distribution of the population of Mozambique in 2017. The outputs are intended as an interim population product to support ongoing development and operations work until such time as the official 2017 Population and Housing Census results are available in a spatial gridded format. At that time, this interim gridded population layer will be superseded and users will be advised to use the official gridded population release from INE.
Data Citation: Bondarenko M, Jones P, Leasure D, Lazar AN, Tatem AJ. 2020. Census disaggregated gridded population estimates for Mozambique (2017), version 1.1. WorldPop, University of Southampton. doi:10.5258/SOTON/WP00672 CREDITS: Patricia Jones and Donna Clarke (WorldPop) supported the generation of inputs for the application of the random forest-based dasymetric mapping approach developed by Stevens et al. (2015). The population disaggregation was done by Maksym Bondarenko (WorldPop), using the random forest population modelling R scripts (Bondarenko et al., 2020). The age-sex rasters, SQL database, and map tileswere created by Doug Leasure (WorldPop). The administrative boundaries and population totals were provided by Arlindo Charles, at INE (National Institute of Statistics) in Mozambique. Claire Dooley and Chris Jochem reviewed the population raster and its documentation, and provided comments and suggestions. Attila N. Lazar (WorldPop) coordinated the work with substantial engagement and translation support from Sandra Baptista (CIESIN). The whole WorldPop group and GRID3 partners are acknowledged for overall project support.
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) programme funded by the Bill & Melinda Gates Foundation (BMGF) and the United Kingdom’s Foreign, Commonwealth & Development Office. It is implemented by Columbia University’s Center for International Earth Science Information Network (CIESIN), the United Nations Population Fund (UNFPA), WorldPop at the University of Southampton, and the Flowminder Foundation.
The downloadable Metadata provides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited
Contact release@worldpop.org for more information or go here.
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The current version supersedes GRID3 SEN - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SEN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/4z4e-8x52. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The downloadable Metadata provides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited.
Contact release@worldpop.org for more information or go here.
The zip files contain the following files:
The zip files contain the following files:
KEN_population_v1_0_gridded.tif
This geotiff raster, at a spatial resolution of 3 arc-seconds (approximately 100m at the equator), contains estimates of the total population size per grid cell across Kenya. NA values represent areas that were mapped as unsettled based on gridded building patterns derived from building footprints (Dooley and Tatem, 2020). These data are stored as floating-point numbers rather than integers to avoid rounding errors in aggregated population totals for larger areas.
KEN_population_v1_0_agesex.zip
This zip file contains 40 GeoTIFF rasters representing estimated population counts for specific age and sex groups within grid cells of approximately 100m. We provide 36 rasters for the commonly reported age-sex groupings of sequential age classes for males and females separately. These are labelled with either an “m” (male) or an “f” (female) followed by the number of the first year of the age class represented by the data. “f0” and “m0” are population counts of under 1-year olds for females and males, respectively. “f1” and “m1” are population counts of 1 to 4 year olds for females and males, respectively. Over 4 years old, the age groups are in five year bins labelled with a “5”, “10”, etc. Eighty year olds and over are represented in the groups “f80” and “m80”. We provide four additional rasters that represent demographic groups often targeted by programmes and interventions. These are “under1” (all females and males under the age of 1), “under5” (all females and males under the age of 5), “under15” (all females and males under the age of 15) and “f1549” (all females between the ages of 15 and 49, inclusive).
These data were produced post-hoc by multiplying the total population counts provided in the KEN_population_v1_0_gridded.tif raster and age and sex proportions derived the US Census bureau age-sex projections for each sub-county. While this data represents population counts, values contain decimals, i.e. fractions of people. This is because both the input population data and age-sex proportions contain decimals. For this reason, it is advised to aggregate the rasters at a coarser scale. For example, if four grid cells next to each other have values of 0.25 this indicates that there is 1 person of that age group somewhere in those four grid cells.
Data Citation
Gadiaga A. N., Abbott T. J., Chamberlain H., Lloyd C. T., Lazar A. N., Darin E., Tatem A. J. 2022. Census-disaggregated gridded population estimates for Kenya (2021), version 1.0. University of Southampton. doi:10.5258/SOTON/WP00747.
The downloadableMetadataprovides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited.
Contact release@worldpop.org for more information or gohere.
The zip files contain the following files:
The downloadableMetadataprovides more information about Source Data, Methods Overview, Assumptions & Limitations and Works and Data Cited
Contact release@worldpop.org for more information or gohere.
Church locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Farm locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Energy and electricity substation locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Factory and industrial site locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Filling station locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Government building locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Fire station locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Internally Displaced Persons (IDP) sites and names in Nigeria. IDP sites are makeshift shelter provided for people who have been forced to leave their native homes and still within their respective country geographical boundary to find temporary refuge till their homes are safe to return.
Downloaded from geodatabase (GDB) version 1.75 (released in March 2021). Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Nigeria country-wide market locations and names. Released in September 2020.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Mosque locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Police station locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Nigeria country-wide primary, secondary, tertiary, private, public, and religious school locations and names. Released in September 2020.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Nigeria country-wide settlement points and names. Released in March 2021.
Nigeria country-wide operational LGA boundaries (administrative level 2). The LGA boundaries dataset was released in March 2021.
Water points and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Post office locations and names in Nigeria. Released in September 2020. Dataset is incomplete for the country.
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
The “NSDI Zambia Operational School Points and Names, Version 01 (Beta)” provides school and school affiliated point locations, names, types, and source of the data. The dataset was developed by compiling and standardizing existing government data sources of school point locations and names data from the 2010 census cartography from Zambia Statistics Agency (ZamStats), the Ministry of General Education (MoGE) and the Ministry of Water Development Sanitation and Environmental Protection (MWDSEP).
The dataset is available for download in shapefile format and can be viewed in Geographic Information Systems(GIS) such as ArcMap, QGIS, or Google Earth (Pro). The data is available for all of Zambia. It has the following attributes: Name, Original Name (from original dataset), Type, Sub Type, Source, Province (Code), District (Code), Ward (Code), Constituency (Code), Global ID
For more information about the settlement data and methodology, see the data release notes here.
The "NSDI Zambia Operational Health Facility Layer, Version 01 (Beta)" provides health facility and health affiliated infrastructure point locations, names, types, and source of the data. The dataset was developed by compiling and standardizing existing government data sources of health facility and affiliated infrastructure locations and names data from the Ministry of Health (MoH) obtained in 2019 and from the 2010 census cartography from Zambia Statistics Agency (ZamStats).
The dataset is available for download in shapefile format and can be viewed in Geographic Information Systems(GIS) such as ArcMap, QGIS, or Google Earth (Pro). The data is available for all of Zambia. It has the following attributes: Name, Original Name (from original dataset), Type, Sub Type, Source, Province (Code), District (Code), Global ID. The dataset also includes a Label column which can be used for labeling.
For more information about the settlement data and methodology, see the data release notes here.
The administrative district boundaries were generated at a scale of 1:10,000 and validated against official district narratives provided by the Government of the Republic of Zambia, using high resolution imagery and 1:50,000 topographic maps. The shapefile covers the National, 10 Provincial and 116 District Boundaries.
This data provides gridded population estimates (at spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Nigeria, along with the estimates of the number of people belonging to various age and sex groups. Using robust Bayesian statistical hierarchical modelling framework, population modelling and estimation experts from WorldPop (www.worldpop.org) at the University of Southampton combined ‘headcount’ (input population) datasets obtained from the 2022-23 National Malaria Elimination Program (NMEP) with settlement footprint and geospatial covariates to estimate population numbers at high-resolution grid cells. The approach facilitated accounting for the multiple levels of variability within the data, while simultaneously quantifying uncertainties in the parameter estimates. After capturing the spatial variability of population, the modelled estimates were scaled based on the UN WPP July 2025 median national population projections.
This data also contains mastergrid for gridded population estimates.
Population totals for administrative units are also available.
SUGGESTED CITATIONS
Nnanatu C.C., Gadiaga A., Abbott T. J., Chamberlain H., Lazar A. N., Tatem A. J. (2025). Modelled gridded population estimates for Nigeria 2025 version 3.0. WorldPop, University of Southampton. (https://dx.doi.org/10.5258/SOTON/WP00782)
The exposure risk score equally weights three components: 1) population density, 2) proximity to others in the household and 3) water, sanitation, and hygiene. Three indicators are equally weighted within the proximity to others in the household component: intergenerational households (household has a child less than eleven years old and a person above 60 years old), average number of household members per sleeping room, and adults aged 15 to 49 employed in essential occupations (health professions, construction, manufacturing, transport, sales, textiles, protective services). Five indicators are equally weighted within the water, sanitation, and hygiene component: soap for hand washing inside the home is unavailable, water for handwashing inside the home is unavailable, household must walk 30 or more minutes roundtrip to collect drinking water, household shares toilet with other households or does not have a toilet, and household does not have piped-in drinking water. Population density is defined as population at the 1km squared level. Indicators within components are combined with z-scores at the 1km squared grid level.
Source: Fraym 2020
The Fraym platform weaves together the latest satellite imagery and geostatistical datasets with professionally enumerated household surveys. This allows for the disaggregation and re-aggregation of large datasets to cover any geographically bounded area. Indicators are drawn and harmonized from a wide variety of household surveys and other data sources.
These include the following sources:
This score equally weights two components: 1) female adult obesity rate, and 2) elderly population. Female adult obesity rate is defined as the percentage of female adults aged 15 to 49 with a body mass index of over 30. This indicator is only available for females. Elderly population is defined as the number of people over the age of 50. Indicators are combined with z-scores at the 1km squared grid level.
Source: Fraym 2020
The Fraym platform weaves together the latest satellite imagery and geostatistical datasets with professionally enumerated household surveys. This allows for the disaggregation and re-aggregation of large datasets to cover any geographically bounded area. Indicators are drawn and harmonized from a wide variety of household surveys and other data sources.
These include the following sources:
The two layers contained within the GRID3 ZWE - Settlement Extents v3.0 include:
The current version supersedes GRID3 ZWE - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZWE - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/ws6e-pb92. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 ZMB - Settlement Extents v3.0 include:
The current version supersedes GRID3 ZMB - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZMB - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/0pet-p051. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 ZAF - Settlement Extents v3.0 include:
The current version supersedes GRID3 ZAF- Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ZAF - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/tzre-w692. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 UGA - Settlement Extents v3.0 include:
The current version supersedes GRID3 UGA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 UGA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/zgzd-6t74. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 TZA - Settlement Extents v3.0 include:
The current version supersedes GRID3 TZA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TZA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/asej-zz08. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 TGO - Settlement Extents v3.0 include:
The current version supersedes GRID3 TGO - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TGO - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/yz03-8697. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 TCD - Settlement Extents v3.0 include:
The current version supersedes GRID3 TCD - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 TCD - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/e6j5-2141. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SYC - Settlement Extents v3.0 include:
The current version supersedes GRID3 SYC - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SYC - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/pfbj-h371. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SWZ - Settlement Extents v3.0 include:
The current version supersedes GRID3 SWZ - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SWZ- Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/k05s-vm85. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 STP - Settlement Extents v3.0 include:
This is the settlement extents layer.
The current version supersedes GRID3 STP - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 STP - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/zfp5-pv42. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SSD - Settlement Extents v3.0 include:
The current version supersedes GRID3 SSD - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SSD - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/2nth-xx70. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SOM - Settlement Extents v3.0 include:
The current version supersedes GRID3 SOM - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SOM - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/3yy0-tt77. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SLE - Settlement Extents v3.0 include:
The current version supersedes GRID3 SLE - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SLE - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/p7mq-nr26. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 SDN - Settlement Extents v3.0 include:
The current version supersedes GRID3 SDN - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 SDN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/509j-p145. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 RWA - Settlement Extents v3.0 include:
The current version supersedes GRID3 RWA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 RWA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/fs4k-jr23. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 REU - Settlement Extents v3.0 include:
GRID3_REU_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons.
GRID3_REU_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells.
The current version supersedes GRID3 REU - Settlement Extents v2.0; the following changes were made:
Development of a new methodology to derive building counts and settlement polygons with open data.
Estimation of a probability value for settlement polygons
Addition of a building-area measure
Replacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamlets
Elimination of building-count ranges
Elimination of variable comparing to previous versions
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 REU - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/k4z8-ha20. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 NER - Settlement Extents v3.0 include:
The current version supersedes GRID3 NER - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 NER - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/9w2b-5m53. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 NAM - Settlement Extents v3.0 include:
The current version supersedes GRID3 NAM - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 NAM - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/tpag-pg11. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MWI - Settlement Extents v3.0 include:
The current version supersedes GRID3 MWI - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MWI - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/n8ge-tc24. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MUS - Settlement Extents v3.0 include:
The current version supersedes GRID3 MUS - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MUS - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/bhc9-9j70. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MRT - Settlement Extents v3.0 include:
The current version supersedes GRID3 MRT - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MRT - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/e4n2-8443. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MOZ - Settlement Extents v3.0 include:
The current version supersedes GRID3 MOZ - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MOZ - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/d3vh-qz17. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MLI - Settlement Extents v3.0 include:
The current version supersedes GRID3 MLI - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MLI - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/8hjv-tj96. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 MDG - Settlement Extents v3.0 include:
The current version supersedes GRID3 MDG - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 MDG - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/q6ye-pn21. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 LSO - Settlement Extents v3.0 include:
The current version supersedes GRID3 LSO - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 LSO - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/rxdw-w473. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 LBR - Settlement Extents v3.0 include:
The current version supersedes GRID3 LBR - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 LBR - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/12ar-zg98. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 KEN - Settlement Extents v3.0 include:
The current version supersedes GRID3 KEN - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 KEN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/6hnz-fr54. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 GNQ - Settlement Extents v3.0 include:
The current version supersedes GRID3 GNQ - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GNQ- Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/wr0f-sp79. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 GNB - Settlement Extents v3.0 include:
The current version supersedes GRID3 GNB - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GNB - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/vp9v-f744. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 GMB - Settlement Extents v3.0 include:
The current version supersedes GRID3 GMB - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GMB - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/yyyg-g140. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 GIN - Settlement Extents v3.0 include:
The current version supersedes GRID3 GIN - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GIN - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/7nqp-pj27. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu
The two layers contained within the GRID3 GHA - Settlement Extents v3.0 include:
The current version supersedes GRID3 GHA - Settlement Extents v2.0; the following changes were made:
For more information on data inputs, methodology, and codebooks please see the Data Release Notes.
Recommended Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 GHA - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/9scv-2v68. Accessed [DAY MONTH YEAR].
Terms of use:
Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.
Copyright 2024. The Trustees of Columbia University in the City of New York.
Data license:
The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).
Contacts and data queries:
The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu