Common Operational Datasets (CODs) are authoritative reference datasets needed to support operations and decision-making for all actors in a humanitarian response. CODs are 'best available' datasets that ensure consistency and simplify the discovery and exchange of key data.
Updated
13 April 2022
| Dataset date: April 13, 2022-August 10, 2022
State of Palestine administrative level 0-1 sex and age disaggregated 2022 population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the State of Palestine - Subnational Administrative Boundaries.
Updated
6 April 2022
| Dataset date: April 06, 2022-August 10, 2022
Bolivia (Plurinational State of) administrative level 0-1 sex and age disaggregated 2022 projected population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Bolivia (Plurinational State of) - Subnational Administrative Boundaries boundaries.
Updated
6 April 2022
| Dataset date: April 06, 2022-August 10, 2022
Panama administrative level 0-1 sex and age disaggregated 2021 projected population statistics
Reference year: 2022
These tables are suitable for GIS or database linkage to the Panama - Subnational Administrative Boundaries.
Updated
5 April 2022
| Dataset date: April 05, 2022-August 10, 2022
Nigeria administrative level 0-3 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
These layers are suitable for database or GIS linkage to the Nigeria - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Updated
4 April 2022
| Dataset date: April 04, 2022-August 10, 2022
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 “GRID3 Democratic Republic of the Congo Settlement Extents, Version 01.01” 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 10, 2022
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 “GRID3 Nigeria Settlement Extents, Version 01.01” 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 10, 2022
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 “GRID3 Senegal Settlement Extents, Version 01.01” 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
4 April 2022
| Dataset date: August 06, 2018-August 10, 2022
Côte d'Ivoire administrative level 0 (country), 1 (district / autonomous city), 2 (region), and 3 (department) boundary polygons, lines, and points shapefiles, geodatbase, and live services, and gazetteer
The update of Côte d'Ivoire dataset is based on the 2012 presidential decree which reorganized the national territory into 2 Autonomous Districts and 31 administrative regions making up the 33 admin 1 units of Côte d'Ivoire.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Edge-matched versions prepared by ITOS to conform to the United Nations Geospatial Hub_ 1:1m boundary layer.
These boundaries are suitable for database or GIS linkage to the Cote d'Ivoire administrative level 0-3 population statistics tables.
Updated
31 March 2022
| Dataset date: July 17, 2015-August 10, 2022
Peru administrative level 0-1 sex and age disaggregated 2022 projections
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Peru - Subnational Administrative Boundaries using the ADM0 and ADM1_PCODE fields.
Updated
31 March 2022
| Dataset date: January 01, 2022-December 31, 2022
The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners. It presents the number of people in need (PIN), the number of people in acute need (Acute PIN), the number of beneficiaries to be targeted for assitance, and the details of the activities under the 2022 HRP. The data sources and methodology for the derivation of the PIN and Acute PIN figures can be found in the Iraq 2022 HNO; the basis of the targets and further background and details of the HRP activities can be found in the Iraq 2022 HRP.
Updated
28 March 2022
| Dataset date: June 14, 2021-August 10, 2022
Guinea Bissau administrative level 0-2 definitive and edge-matched boundaries
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Edge-matched versions prepared by ITOS to conform to the United Nations Geospatial Hub_ 1:1m boundary layer.
Updated
24 March 2022
| Dataset date: December 27, 2017-August 10, 2022
Cabo Verde - administrative level 0 (country), 1 (municipality / concelho), 2 (parishe / reguesia), boundary and big island polygons, and gazetteer
The administrative level 0, 1, and 2 shapefiles are suitable for database or GIS linkage to the Cabo Verde - Subnational Population Statistics.
Updated
23 March 2022
| Dataset date: December 27, 2017-August 10, 2022
Liberia administrative level 0-2 definitive and edge-matched administrative boundaries.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Edge-matched versions prepared by ITOS to conform to the United Nations Geospatial Hub_ 1:1m boundary layer.
These boundaries are suitable for database or GIS linkage to the Liberia - Subnational Population Statistics tables.
Updated
23 March 2022
| Dataset date: August 09, 2017-August 10, 2022
Mauritania administrative level 0 (country), 1 (region / wilaya or région), 2 (department / moughataa), 3 (commune) boundaries endorsed by Dakar IMWG on August 2017 (only Pcodes); see metadata for description of cleaning and processing performed by ITOS.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
These shapefiles are suitable for database or GIS linkage to the level 0-2 Mauritania - Subnational Population Statistics.
Updated
23 March 2022
| Dataset date: January 01, 2020-December 31, 2020
This Common Operational Dataset on Population Statistics (COD-PS) is estimated using baseline information from the 2001 Population Census of Ukraine and annual birth and death registration data since the last census.
REFERENCE YEAR: 2020
The COD-PS is age- and sex-disaggregated at ADM-1 level (i.e. Oblast) and has a reference date of 1 January, 2020.
This common operational dataset is constructed using the cohort-component method of population projection. The 2001 population census data are projected forward to account for population change due to natural increase (using vital event registration data) and net migration (using administrative data sources on migration) at the ADM-1 level and for major cities (with population size of more than 100,000 people).
These tables are suitable for database or GIS linkage to the Ukraine - Subnational Administrative Boundaries tables at administrative levels 0 and 1, using the established P-codes.
Updated
16 March 2022
| Dataset date: March 16, 2022-August 10, 2022
Poland administrative level 0-1 sex and age disaggregated 2022 population statistics
REFERENCE YEAR 2022
In addition to the 17-feature administrative level 2 tabulation, an 18-feature Eurostat NUTS2 tabulation is provided.
These tables are suitable for database or GIS linkage to the Poland - Subnational Administrative Boundaries tables.
Updated
16 March 2022
| Dataset date: March 16, 2022-August 10, 2022
Slovakia administrative level 0-1 sex and age disaggregated 2021 population statistics
REFERENCE YEAR 2021
In addition to the administrative level 0-2 tables, this dataset includes a NUTS3 (administrative level 3) table.
These tables are suitable for database or GIS linkage to the Slovakia - Subnational Administrative Boundaries layers.
Updated
16 March 2022
| Dataset date: March 16, 2022-August 10, 2022
Romania administrative level 0-1 sex and age disaggregated 2022 population statistics
REFERENCE YEAR 2022
These tables are suitable for database or GIS linkage to the Hungary - Subnational Administrative Boundaries layers.
Updated
16 March 2022
| Dataset date: March 16, 2022-August 10, 2022
Romania administrative level 0-2 sex and age disaggregated 2022 population statistics
REFERENCE YEAR 2022
These tables are suitable for database or GIS linkage to the Romania - Subnational Administrative Boundaries layers.
Updated
15 March 2022
| Dataset date: January 01, 2017-December 31, 2022
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
Updated
7 March 2022
| Dataset date: January 01, 2018-December 31, 2022
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
