Updated
8 August 2022
| Dataset date: August 08, 2022-August 08, 2022
This dataset updates: Every day
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
place
source
name
is_in
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
5 August 2022
| Dataset date: August 05, 2022-August 05, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
population
place
is_in
name
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
3 August 2022
| Dataset date: August 03, 2022-August 03, 2022
This dataset updates: Every day
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
place
name
source
population
is_in
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
10 July 2022
| Dataset date: March 08, 2021-May 17, 2021
This dataset updates: Never
In the first half of 2021, UNHCR organized comprehensive consultations with Rohingya refugeesacross the region to better understand how Rohingya refugees envision their future โ and what challenges stand in the way of their desired solutions. Teams across Asia interviewed a total of 2,846 Rohingya refugees in the six Rohingya-hosting countries in the region: Bangladesh, India, Indonesia, Malaysia, Nepal, and Thailand, which together host one million Rohingya refugees from Myanmar. These consultations built on extensive work done by various stakeholders in recent years โ particularly since the refugee influx to Bangladesh in 2016 and 2017 โ to survey Rohingya refugees and ensure their voices are represented and reflected. They also incorporated Rohingya refugeesโ views of developments in Myanmar since the events of 1 February 2021.
Updated
29 June 2022
| Dataset date: June 29, 2022-August 11, 2022
This dataset updates: As needed
The "GRID3 DRC Settlements - Haut-Katanga, Kasaรฏ, Kasaรฏ-Oriental, Kinshasa, and Lomami Provinces, Version 01" dataset consists of settlement points with names and health catchment area attributes in the provinces of Haut-Katanga, Kasaรฏ, Kasaรฏ-Oriental, Kinshasa, and Lomami in the Democratic Republic of the Congo (DRC).
To conduct this work, the Center for International Earth Science Information Network (CIESIN) at Columbia University engaged with the mandated authorities in the DRCโs Ministry of Health who support data collection and development for vaccination planning. Local healthcare workers were directly involved in the mapping of the health catchment area boundaries at participatory events coordinated with in-country provincial coordinators and mappers, and in the collection of data in the field from January to July 2021.
This work is part of the GRID3 Mapping for Health in the DRC project. Supported by Gavi through its INFUSE initiative, GRID3 Mapping for Health is a Ministry of Health initiative, delivered in partnership with Flowminder and CIESIN, and in collaboration with WorldPop at the University of Southampton, Kinshasa School of Public Health, UNFPA, UNOPS, and Novel-T. GRID3 Mapping for Health is a continuation of previous work conducted and/or supported in the DRC by the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme.
The dataset consists of one layer: settlement point data and a table with the field descriptions for the layer. The data are available for download in Esri file geodatabase format packaged in zip files.
File name: GRID3_DRC_settlements_names_V01.gdb
The following layers are included in the gdb:
codebook__settlements_names
GRID3_DRC_settlements_names_5_prov_V01
Extent: Democratic Republic of the Congo: Haut-Katanga, Kasaรฏ, Kasaรฏ-Oriental, Kinshasa, and Lomami provinces.
Dataset citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Ministeฬre de la Santeฬ Publique, Hygiรจne et Prรฉvention, Democratic Republic of Congo, 2022. GRID3 DRC Settlements - Haut-Katanga, Kasaรฏ, Kasaรฏ-Oriental, Kinshasa, and Lomami Provinces Version 01. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3).
https://doi.org/10.7916/pvdz-4x94. Accessed DAY MONTH YEAR.
Updated
31 May 2022
| Dataset date: May 21, 2005-May 21, 2005
This dataset updates: As needed
Settlements with administrative Class (eg: 1=Country capital, 2=Province capital, 3=District capitalโฆ)
The dataset represents the settlements of Sรฃo Tomรฉ and Principรฉ with harmonized PCODE of ROWCA and Humanitarian Response pcodes
Updated
4 April 2022
| Dataset date: April 04, 2022-August 11, 2022
This dataset updates: As needed
Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class.
This data product contains all information contained in the previous โGRID3 Democratic Republic of the Congo Settlement Extents, Version 01.01โ product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex in Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces .
This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2022. GRID3 Democratic Republic of the Congo Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/hbr4-ve53 . Accessed DAY MONTH YEAR
Updated
4 April 2022
| Dataset date: April 04, 2022-August 11, 2022
This dataset updates: As needed
Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class.
This data product contains all information contained in the previous โGRID3 Nigeria Settlement Extents, Version 01.01โ product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex.
This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2022. GRID3 Nigeria Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/1tb8-bm49 . Accessed DAY MONTH YEAR
Updated
4 April 2022
| Dataset date: April 04, 2022-August 11, 2022
This dataset updates: As needed
Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class.
This data product contains all information contained in the previous โGRID3 Senegal Settlement Extents, Version 01.01โ product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for total population and by sex.
This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2022. GRID3 Senegal Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/5jy1-7y15 . Accessed DAY MONTH YEAR
Updated
7 February 2022
| Dataset date: August 02, 2022-August 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
14 January 2022
| Dataset date: June 01, 2022-June 01, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
is_in
name
population
source
place
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
14 January 2022
| Dataset date: August 01, 2022-August 01, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
13 January 2022
| Dataset date: August 01, 2022-August 01, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
13 January 2022
| Dataset date: August 01, 2022-August 01, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
13 January 2022
| Dataset date: January 13, 2022-January 13, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
population
place
source
is_in
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
13 January 2022
| Dataset date: August 02, 2022-August 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
13 January 2022
| Dataset date: August 02, 2022-August 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
12 January 2022
| Dataset date: July 02, 2022-July 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
source
is_in
place
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
12 January 2022
| Dataset date: January 12, 2022-January 12, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
population
place
source
is_in
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
12 January 2022
| Dataset date: August 02, 2022-August 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
10 January 2022
| Dataset date: January 01, 1899-January 01, 1899
This dataset updates: Every year
Overpass Service Query to extract from the live OpenStreetMap database the Settlement place names for Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response
These links launch the Overpass Turbo web application to extract live data. Data is downloaded automatically. Rename the file called "interpreter" for better documentation of the Query content.
More information
Updated
6 January 2022
| Dataset date: August 02, 2022-August 02, 2022
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
place IN ('isolated_dwelling','town','village','hamlet','city')
Features may have these attributes:
name
is_in
place
source
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
