Updated
28 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
28 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Opinionated world view of the United States as represented in the original Large Scale International Boundaries (LSIB) layer. Regions such as Western Sahara and Kosovo are represented based on American recognition.
Updated
28 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
28 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
28 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Balanced world view for use by international non-governmental organizations. Disputed areas follow recommended representation used by the UN Clear Map. UN agencies should use official layers at the UN Geospatial Hub.
Updated
24 June 2022
| Dataset date: February 15, 2019-July 03, 2022
This dataset updates: Every year
Bangladesh administrative level 0-3 population statistics
REFERENCE YEAR: 2011
17 November 2020 update: P-codes prefixed with 'BD'
These population statistics tables are suitable for database or GIS linkage with the administrative level 0-2 Bangladesh - Subnational Administrative Boundaries shapefiles. (See caveats.)
Updated
14 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM3 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM4 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses geoBoundaries exclusively for subnational administrative geodata, representing data suitable for most purposes, academic or commercial. Requires attribution to geoBoundaries. Polygons contain only data for the most detailed admin level available, which may not be ADM2 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
14 June 2022
| Dataset date: May 11, 2022-July 03, 2022
This dataset updates: Every month
Uses Common Operational Datasets (COD) when available, falling back to geoBoundaries for regions without coverage of subnational administrative geodata. Represents the latest available data for humanitarian operational use. Polygons contain only data for the most detailed admin level available, which may not be ADM1 depending on the source. Higher admin levels can be obtained by dissolving by attributes. Lines and points are intended for cartographic applications.
Updated
11 June 2022
| Dataset date: January 05, 2022-July 03, 2022
This dataset updates: Every year
South Sudan administrative level 0-2 2022 population estimates.
REFERENCE YEAR: 2022
Dataset updated by OCHA 2020.
This population statistics Common Operational Database (COD-PS) was endorsed the Government and South Sudan National Bureau of Statistics in November 2020.
These tables are suitable for database or GIS link to the South Sudan - Subnational Administrative Boundaries.
Updated
9 June 2022
| Dataset date: September 27, 2018-July 03, 2022
This dataset updates: Every year
GAZETTEER CORRECTED 2022_06_09. Some records in the ADM3 and ADM4 tabs had incorrect ADM1_PCODE values.
The Admin boundary shapefiles for Rwanda since 2006. The shapefile was created in 2006 and updated by the 2012 Census mapping.
It was updated again on 17 Oct 2017.
These administrative level 0-3 shapefiles are suitable for database or GIS linkage to the Rwanda - Subnational Population Statistics tables.
02 October 2018 update:
Administrative level 1 (province) P-codes corrected at all levels.
27 September 2018 update:
Administrative level 0 (country) feature attributes corrected at all levels.
19 October 2018 update:
to Administrative levels 0 - 3:
Standardized P-codes, based on the pre-existing numeric codes added
Lake Kivu extent removed
Corrections made to two administrative level 1 names in the administrative level 3 (sector) shapefile
21 September 2018 update:
Administrative level 4 P-coded
Updated
2 June 2022
| Dataset date: April 09, 2019-July 03, 2022
This dataset updates: Every year
Sri Lanka administrative levels 0 (country), 1 (province), 2 (district), 3 (divisional secretariat) and 4 (grama niladhari) boundary shapefiles, geodatabase, EMF files, and gazetteer
These boundaries are suitable for database or GIS linkage to the Sri Lanka - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Updated
26 April 2022
| Dataset date: April 25, 2022-April 25, 2022
This dataset updates: As needed
Ward shape file (polygons) for Myanmar which includes 175 towns.
Source: Digitization based General Administration Department (GAD) Township profile maps 2018, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources.
P-codes missing in
Kyaikto (Mon): 1 ward
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Zimbabwe administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Zambia administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Yemen administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Virgin Islands (U.S.) administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Virgin Islands (British) administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Viet Nam administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
Updated
16 April 2022
| Dataset date: April 07, 2022-April 07, 2022
This dataset updates: As needed
Venezuela administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
