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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.

Status of CODs by location | Learn more about CODs

  • Updated 4 January 2022 | Dataset date: April 30, 2019-August 17, 2022
    Senegal administrative level 0 (country), 1 (region, région), 2 (department, département), and 3 (arrondissement) boundary polygons and lines. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. Updated November 2018 Updated August 2017 (harmonization of codes following the IMWG meeting eg SN010101) according to the COD databases approved by the RO in January 2016; See metadata for description of ITOS cleaning and processing. The dataset represents Admin level 0 (International), Admin Level 1 (Region), Admin Level 2 (Departement), Admin Level 3 (Arrondissement).
    7800+ Downloads
    This dataset updates: As needed
  • Updated 3 January 2022 | Dataset date: January 15, 2021-January 15, 2021
    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 (also known as "Admin Level 4") = City or Village Dataset organization: Administrative boundary resources (shapefiles, geodatabases. and gazetteer) are separate from the populated places shapefiles resources except the live geoservices, which provide both administrative boundaries and populated places. Most Recent Changes: 15 January 2021 ITOS geoservices, shapefile, and geodatabase for populated places ("administrative level 4") added. 12 January 2021 ITOS geoservices, shapefiles, and geodatabase added. EMF files added. ITOS gazetteer added. 18-August-2020 added 327 Communities. 21-March-2019 added 14 Communities. 19-Dec-2018 Use the Neighborhood as point loaded in the same layer/ Excel file called as a humanitarian Location added 11 Communities. 01-July-2018 added 1528 Communities and some localities moved to their accurate locations 31-Jan-2018- added 91 populated places and areas, some localities moved to their accurate locations, essential change in the admin boundary in Tartous Governorate at Admin 2 and Admin 3 1-June-2017- added 24 populated places and areas 22-Feb-2017- added three populated places and fixed some typos in admin4 and neighborhoods 04-Oct-2016 - Added two populated places 20-Sept-2016 - Built-up polygonal layer was created so that for each populated place there is a corresponding built-up poplygon; Added populated places based on feedback from humanitarian partners ; Neighborhood layer now includes 11 main cities with new p-codes ; column names follow global standard; reference names are unique both in English and Arabic 12-Jan-2014 - Shape file version posted. UTF-8 has been used to enable the correct display of Arabic characters. 19-May-2013 - New features added to Admin4 ; English Names edited to be consistent in all Admin levels; locations of few communities adjusted 07-Jan-2013 - Column with Capitals of Administrative Units (1 - 3) added to Populated Places (Admin 4). No changes. 19-Dec-2012 - Minor change: erroneous Admin 1 p-code for the populated place Arab Elmalik Jerkes (p-code = C3571) corrected (from SY010 to SY10). 12-Dec-2012 - Added neighborhoods , currently Damascus only. Added "C" as leading character of pcodes at level 4 (populated places) to ensure uniqueness. The digits remain the same from earlier versions. 24-Sep-2012 - Consolidated spelling between all 4 levels for all admin levels. Pcodes added. 24-Aug-2012 - Shapefile versions added. Exported from the geodatabase version of 30-June-2011. 30-Jun-2012 - Topology cleaned, underscores removed from admin names. Languages: EN AR
    28000+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: October 31, 2021-August 17, 2022
    The villages and towns of Niger with harmonized PCODE of ROWCA and codification of capitals. The data of administrative boundaries comes from IGNN and is updated by OCHA/ROWCA.
    800+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: July 27, 2021-August 17, 2022
    Equatorial Guinea administrative level 0-2 Subnational Administrative Boundaries
    1300+ Downloads
    This dataset updates: As needed
  • Updated 31 December 2021 | Dataset date: August 03, 2017-August 17, 2022
    Definitive and edge-matched administrative boundaries. Admin COD datasets for Guinea endorsed by Dakar IMWG in august 2017 ; The dataset represents Admin Level 0 (country), Admin Level 1 (regions), Admin Level 2 (prefectures), and Admin level 3 (sub-prefectures). 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. The shapefiles are suitable for database or ArcGIS joins to the .csv population statistics files found on HDX here using the 'adminXPc_1' fields.
    6400+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: March 10, 2021-August 17, 2022
    Ghana administrative level 0-2 boundaries Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These boundaries are suitable for database or GIS linkage to the Guinea - Subnational Population Statistics tables.
    10000+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: February 17, 2015-August 17, 2022
    Provinces and Departments of Gabon The dataset represents the provinces and Departments of Gabon with harmonized PCODE of ROWCA and Humanitarian Response pcodes.
    2500+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: July 06, 2017-August 17, 2022
    Admin Level 1 Boundaries (Departments) and Admin Level 2 Boundaries (Districts) of Congo The dataset represents the departments and districts of Congo with harmonized PCODE of ROWCA and Humanitarian Response P-ccodes Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
    2800+ Downloads
    This dataset updates: As needed
  • Updated 31 December 2021 | Dataset date: February 02, 2015-August 17, 2022
    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.
    1500+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: September 10, 2014-August 17, 2022
    The geodata represents the roads network in Bamako, Mali. The data is provided by MINUSMA GIS.
    600+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: August 07, 2015-August 17, 2022
    The dataset represents the country, departments and communes boundaries of Benin. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. These layers are suitable for database or GIS linkage to the Benin administrative level 0-2 SADD 2019 projected population statistics tables. Version history: 21 August 2019: ITOS standardized files and live services uploaded (without changes to content) 17 May 2019: P-codes altered to conform to COD-PS October 2019: Initial upload
    4300+ Downloads
    This dataset updates: Every year
  • Updated 31 December 2021 | Dataset date: November 13, 2018-August 17, 2022
    Libya administrative level 0 (country), 1 (province), and 2 (governorate / muhafazat) , EMF files, geodatabase, live services, and gazetteer Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. Libya populated places level 3 (baladiya) point geodatabase
    6600+ Downloads
    This dataset updates: Every year
  • Updated 30 December 2021 | Dataset date: February 11, 2015-April 15, 2019
    Admin COD datasets for BFA endorsed by RO on October 2015; see metadata for description of cleaning and processing performed by ITOS.
    500+ Downloads
    This dataset updates: Every year
  • Updated 29 December 2021 | Dataset date: September 30, 2021-August 17, 2022
    Niger administrative level 0-3 sex disaggregated 2022 population statistics These CSV tables are suitable for database or GIS linkage to the Niger administrative level 0, 1, 2, and 3 boundary polygons.
    3500+ Downloads
    This dataset updates: Every year
  • Updated 24 December 2021 | Dataset date: February 09, 2018-August 17, 2022
    Philippines administrative levels: (0) Country (1) Region (Filipino: rehiyon) (2) Provinces (Filipino: lalawigan, probinsiya) and independent cities (Filipino: lungsod, siyudad/ciudad, dakbayan, lakanbalen) (3) Municipalities (Filipino: bayan, balen, bungto, banwa, ili) and component cities (Filipino: lungsod, siyudad/ciudad, dakbayan, dakbanwa, lakanbalen) The original datasets were derived from the boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. OCHA acknowledges PSA and the National Mapping and Resource Information Authority (NAMRIA) as the sources. LMB is the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. The dataset can only be considered as indicative boundaries and not official. For administrative level 4 (Barangay) please contact the contributor (OCHA Philippines) via the 'Contact the contributor' button near the top of this page. These shapefiles are suitable for database or ArcGIS joins to the Philippines - Subnational Population Statistics.
    31000+ Downloads
    This dataset updates: Every year
  • Updated 23 December 2021 | Dataset date: June 01, 2015-August 17, 2022
    Mali administrative level 0-3 shapefiles, geodatabase, and geoservices. Updated 2021_11_16 to reflect the creation of administrative level 1 feature 'Menaka' [ML10]. (For clarification, the four ADM2 features in 'Menaka' [ML10] each contain only one ADM3 feature.) Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. ITOS processing updated 2021_12_22. These layers are suitable for database and GIS linkage to the Mali - Subnational Population Statistics tables.
    9000+ Downloads
    This dataset updates: Every year
  • Updated 23 December 2021 | Dataset date: December 23, 2021-August 17, 2022
    Point shapefile of capital cities of Philippines administrative level 2 features. Excludes the four districts of the National Capital Region. P-coded in accordance with their administrative 2 feature.
    30+ Downloads
    This dataset updates: Every year
  • 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 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. 2021. GRID3 Zimbabwe Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-dg56-b652 . Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 Zambia Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-18p8-6m89 . Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 South Africa Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-hcgb-9g94 . Accessed DAY MONTH YEAR.
    50+ Downloads
    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 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. 2021. GRID3 Uganda Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-21xq-y193. Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 Tanzania Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-vhma-fw24. Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 Togo Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-v1p4-sr56 . Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 Chad Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-1ma4-hp72 . Accessed DAY MONTH YEAR.
    40+ Downloads
    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 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. 2021. GRID3 Eswatini Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-ttwa-vd54 . Accessed DAY MONTH YEAR.
    30+ Downloads
    This dataset updates: As needed