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
19 May 2022
| Dataset date: July 08, 2021-May 27, 2022
Chile administrative level 0-3 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Chile - Subnational Administrative Boundaries layers using the ADM0, ADM1, ADM2, and ADM3_PCODE fields.
Updated
18 May 2022
| Dataset date: May 18, 2022-May 27, 2022
Colombia administrative level 0-2 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Colombia - Subnational Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.
Updated
18 May 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.
Intersectoral People in Need 2022:
For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Cluster People in Need 2022:
The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Yemen Population estimates for 2022:
The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Intersectoral People in Need 2021:
For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Cluster People in Need 2021:
The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Yemen Population estimates for 2021:
The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Updated
17 May 2022
| Dataset date: January 01, 2015-December 31, 2020
The Common Operational Datasets is a tool that can help coordinators and managers from government agencies and humanitarian organizations determine the population demographics for advocacy, fundraising and programming at the very onset of an emergency. These CODs work by automatically providing the user with a simple way to access the ‘best available baseline data’ for the Philippines and subnational levels in consideration of the availability, scope, limitation, and quality of data coming from various government sources.
Updated
17 May 2022
| Dataset date: May 05, 2022-May 27, 2022
Sri Lanka administrative level 0-2 projected sex and age disaggregated 2022 population statistics with standard five-year age groups and special age 15-17 and 18-24 variants
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Sri Lanka - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE fields.
Updated
16 May 2022
| Dataset date: May 16, 2022-May 27, 2022
Guatemala administrative level 0-2 projected 2022 age and sex disaggregated population statistics
REFERENCE YEAR: 2022
Please see caveat about administrative level 2.
These tables are suitable for database or GIS linkage to the Guatemala - Subnational Administrative Boundaries layers using the ADM0, ADM1, and ADM2-PCODE fields.
Updated
13 May 2022
| Dataset date: May 03, 2022-May 27, 2022
Cuba administrative level 0-2 sex and age disaggregated 2020 projected population statistics
REFERENCE YEAR: 2020
These tables are suitable for database or GIS linkage to the Cuba - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE fields.
Updated
13 May 2022
| Dataset date: May 13, 2022-May 27, 2022
Paraguay administrative level 0-2 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Paraguay - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_Pcode fields.
Updated
4 May 2022
| Dataset date: September 30, 2020-May 27, 2022
Brazil administrative level 0-1 projected 2022 sex and age disaggregated population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the Brazil - Subnational Administrative Boundaries layers using the ADM0 and ADM1_PCODE fields.
Updated
3 May 2022
| Dataset date: March 09, 2022-May 27, 2022
Romania administrative level 0-2 boundaries and gazetteer
These layers are suitable for database or GIS linkage to the Romania - Subnational Population Statistics tables using the ADM0, ADM1, and ADM2_PCODE attribute fields.
Updated
28 April 2022
| Dataset date: August 04, 2021-May 27, 2022
El Salvador administrative level 0-2 sex and age disaggregated 2022 projected population statistics
REFERENCE YEAR: 2022
These tables are suitable for database or GIS linkage to the El Salvador - Subnational Administrative Boundaries using the ADM0_PCODE, ADM1_PCODE, and ADM2_PCODE fields.
Updated
26 April 2022
| Dataset date: December 31, 2020-December 31, 2022
This dataset contains the people in need per oblast and planning figures per cluster. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
Updated
26 April 2022
| Dataset date: January 01, 2018-December 31, 2022
This dataset contains the people in need by department, commune and sector. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners.
Updated
20 April 2022
| Dataset date: September 13, 2019-May 27, 2022
Armenia administrative level 0-1 projected 2022 population statistics
REFERENCE YEAR: 2021
These tables are suitable for database or GIS linkage to the Armenia - Subnational Administrative Boundaries using the administrative level 0 and 1 P-codes.
Updated
19 April 2022
| Dataset date: April 19, 2022-May 27, 2022
Poland administrative level 0-2 shapefiles, geodatabase, and gazetteer
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
These boundary files are suitable for database or GIS linkage to the Poland - Subnational Population Statistics tables.
Updated
14 April 2022
| Dataset date: April 14, 2022-May 27, 2022
Angola administrative level 0-2 sex and age disaggregated 2022 projected population statistics
These CSV tables are suitable for database or GIS linkage to the administrative level 0-2 shapefiles.
Updated
13 April 2022
| Dataset date: April 13, 2022-May 27, 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-May 27, 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-May 27, 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
4 April 2022
| Dataset date: April 04, 2022-May 27, 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-May 27, 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
