Updated
November 20, 2020
| Dataset date: Nov 20, 2020
This dataset updates: Never
AI predictions of building footprint on Bing Maps images (approximately 2016-2019), see https://github.com/rodekruis/automated-building-detection. Produced in support to DRRT Guatemala for hurricane Eta and Iota. Coordinate reference system: WGS 84 / EPSG:4326
Updated
November 19, 2020
| Dataset date: Jun 1, 2017
This dataset updates: Every six months
Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes.
Geodatabase maintains Arabic names better than shapefile
Note that Admin 4 is the populated places layer.
Admin Level 1= Governorate = Mohafaza
Admin Level 2 = District = Mantika
Admin Level 3 = Sub-district= Nahya
Populated places = City or Village
Updated
November 13, 2020
| Dataset date: Nov 13, 2020
This dataset updates: As needed
Honduras Open Street Map populated places P-coded to COD-AB SEE CAVEATS
Populated Places extracted from Open Street Map (OSM) by MapAction P-coded from the Honduras - Subnational Administrative Boundaries Common Operational Dataset.
SEE CAVEATS
Updated
November 9, 2020
| Dataset date: Nov 9, 2020
This dataset updates: As needed
This is an updated version of the previous V01 Alpha release. This update was made to increase the buffer size around the hamlets to align with the population grid and be consistent with the other settlement extents published by GRID3.
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative inMozambique.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Data Set Citation :
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Mozambique Settlement Extents, V02 Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building footprints โDigitize Africa data ยฉ 2020 Maxar Technologies, Ecopia.AI". DOI: https://doi.org/10.7916/d8-37sa-gy34. Accessed DAY MONTH YEAR
Updated
November 1, 2020
| Dataset date: Nov 1, 2020
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:
source
population
place
is_in
name
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
October 22, 2020
| Dataset date: Mar 29, 2020
This dataset updates: As needed
Village locations (points) in Chin State, based on the latest MIMU Pcode version 9.2. Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU.
Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.
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
September 30, 2020
| Dataset date: Sep 30, 2020
This dataset updates: As needed
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Rรฉunion.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Rรฉunion Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints โEcopia Vector Maps Powered by Maxar Satellite Imageryโยฉ 2020. DOI: https://doi.org/10.7916/d8-6np8-f730 . Accessed DAY MONTH YEAR
Updated
September 30, 2020
| Dataset date: Sep 30, 2020
This dataset updates: As needed
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Mauritania.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Mauritania Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints โEcopia Vector Maps Powered by Maxar Satellite Imageryโยฉ 2020. DOI: https://doi.org/10.7916/d8-hzv3-f435 . Accessed DAY MONTH YEAR
Updated
September 10, 2020
| Dataset date: Sep 9, 2020
This dataset updates: As needed
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Senegal.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Senegal Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints โEcopia Vector Maps Powered by Maxar Satellite Imageryโยฉ 2020. DOI: https://doi.org/doi:10.7916/d8-x8gh-ms26 . Accessed DAY MONTH YEAR
Updated
September 10, 2020
| Dataset date: Sep 9, 2020
This dataset updates: As needed
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Togo.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Togo Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints โEcopia Vector Maps Powered by Maxar Satellite Imageryโยฉ 2020. DOI: https://doi.org/10.7916/d8-qdxc-0c73 . Accessed DAY MONTH YEAR
Updated
September 3, 2020
| Dataset date: Aug 31, 2020
This dataset updates: As needed
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Tanzania.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Suggested Data Set Citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Tanzania Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints โEcopia Vector Maps Powered by Maxar Satellite Imageryโยฉ 2020. DOI: https://doi.org/10.7916/d8-ve7a-dm77 . Accessed DAY MONTH YEAR
Updated
September 2, 2020
| Dataset date: Aug 31, 2020
This dataset updates: As needed
GRID3 DRC Haut-Lomami and Tanganyika Health Catchment Area Boundaries Version 01 (Beta) dataset consists of two layers: health area boundaries and health zone boundaries.
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Updated
September 2, 2020
| Dataset date: Aug 31, 2020
This dataset updates: As needed
The GRID3 DRC Haut-Lomami and Tanganyika Settlements Version 01 (Beta) dataset consists of settlement points with names and health catchment area attributes in the two provinces of Haut-Lomami and Tanganyika, in the Democratic Republic of the Congo (DRC).
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative.
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
Updated
August 26, 2020
| Dataset date: Feb 2, 2015
This dataset updates: Every year
Mali Settlements
Populated places for Mali (Settlements, including villages) that include pcodes. Available in multiple formats that contains all admin levels, each comes with a quality report, and a look up table that idenitifes admin level information. There are duplicate names that have different pcodes, this accurate and has been verified.
Admin COD datasets for Mali endorsed by IMWG depending in 2015; see metadata for description of cleaning and processing performed by ITOS.
Updated
August 21, 2020
| Dataset date: Aug 14, 2019
This dataset updates: Every year
The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014.
REFERENCE YEAR: 2014
PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire.
PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data
Updated
August 21, 2020
| Dataset date: Jul 22, 2014
This dataset updates: Never
These datasets are intended for coordination and operations in humanitarian activities.
The purpose of this settlements list in particular is as a gazetteer for geographical reference. It is not intended as a cartographic source or as an authoritative reference list.
The list is derived from IOM's placename database, which is the most extensive currently maintained placename source available for Iraq, and provides compatability with IOM's Displacement Tracking Matrix (DTM).
The list does NOT contain any designations of hierarchy (e.g. governorate / district capitals) or of size (e.g. settlement size or population size). Thus, the placenames refer to a variety of populated places including cities, towns, villages and neighbourhoods.
Arabic names are in the process of being added; some are included in this dataset.
Updated
August 12, 2020
| Dataset date: Mar 19, 2020
This dataset updates: As needed
The "GRID3 DRC Kongo Central Settlements Points, Version 1" provides a comprehensive dataset of settlements and their names to help target service delivery and development investments. The Kongo Central settlement layers contain settlement points and name attribute data that fall within the Kongo Central boundary and are divided into built up areas, small settlement areas, and hamlets.
Data Set Citation:
Bureau Central du Recensement (BCR), Democratic Republic of the Congo, and Center for International Earth Science Information Network (CIESIN), Columbia University. 2020. GRID3 DRC Kongo Central Settlement Point, Version 1. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). DOI: https://doi.org/10.7916/d8-42f6-7v44. Accessed DAY MONTH YEAR
Updated
August 4, 2020
| Dataset date: Nov 2, 2020
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:
source
name
is_in
place
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
August 4, 2020
| Dataset date: Aug 30, 2020
This dataset updates: Every week
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:
source
place
is_in
name
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
August 4, 2020
| Dataset date: Nov 15, 2020
This dataset updates: Every week
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
source
place
population
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated
August 4, 2020
| Dataset date: Nov 6, 2020
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
place
is_in
population
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
