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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.

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Data Datasets [362] | Archived Datasets[2] [?]
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  • Ukraine: Subnational Population Statistics [By Request Only]
    OCHA Ukraine
    Time period of the dataset: 15 July 2025 - 15 July 2025
    Subnational Population Statistics are produced by and contributed to HDX by UNFPA and, in the case of Ukraine, are exceptionally shared by OCHA Ukraine with the approval of UNFPA. The 2025 update of the Common Operational Dataset on Population Statistics (COD-PS) in Ukraine draws on the best available population and demographic data (spanning 23 key data sources), as of July 15, 2025, and provides a snapshot of the projected population by sex and 5-year age groups at the ADM-2 (raion) level. It provides reference population estimates to guide humanitarian needs assessment and operational humanitarian response plans. The 2025 COD-PS update was produced by UNFPA on behalf of the Humanitarian Country Team in Ukraine. The update comprises subnational population projections with a reference date of July 2025. The updated COD-PS has been produced to support effective coordination of humanitarian and recovery planning, decision-making, and action in Ukraine. The disclosure and use of this COD-PS is for the members of the Humanitarian Country Team and those directly involved with recovery programme work in Ukraine. Until further notice, this data should be treated as ‘restricted’ and shared for this specified purpose. The 2025 COD-PS update, like all COD-PS updates, is strictly a humanitarian data product of the United Nations aligned to the "best available humanitarian data standard". It does not represent or, in any way, replace official statistics or official population projections of the Government of Ukraine and it does not meet the international standards of official statistics.
  • Sao Tome and Principe - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    1400+ Downloads
    Time period of the dataset: 01 June 2026 - 01 June 2026
    Sao Tome and Principe administrative level 0-1 boundaries (COD-AB) dataset version 01. This dataset is structured into 1 level: - Admin 1: 7 Province Note: São Tomé and Príncipe comprises two provinces (São Tomé and Príncipe) at Admin 1, subdivided into 7 districts at Admin 2. Six districts are located on São Tomé island (Água Grande, Cantagalo, Caué, Lembá, Lobata, Mé-Zóchi) and one (Pagué) covers Príncipe island. The island of Príncipe has held autonomous region status since 1995. Dates associated with this dataset: - 01 June 2026: dataset reviewed for accuracy and completeness - 01 June 2026: valid for use by the humanitarian community - 01 June 2026: last edit to the dataset before publishing - 17 August 2020: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • Mozambique - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    14000+ Downloads
    Time period of the dataset: 01 January 2025 - 10 March 2026
    Mozambique administrative level 0-4 boundaries (COD-AB) dataset version 02. This dataset is structured into 4 levels: - Admin 1: 11 província - Admin 2: 161 distrito - Admin 3: 457 posto - Admin 4: 1712 localidade Dates associated with this dataset: - 10 March 2026: dataset reviewed for accuracy and completeness - 01 January 2025: valid for use by the humanitarian community - 10 March 2026: last edit to the dataset before publishing - 01 January 2017: boundaries created by the source Contributed by OCHA Mozambique. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • Indonesia - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    19000+ Downloads
    Time period of the dataset: 01 April 2020 - 30 October 2025
    Indonesia administrative level 0-4 boundaries (COD-AB) dataset version 01. This dataset is structured into 4 levels: - Admin 1: 34 province (provinsi) - Admin 2: 522 city, district, regency (kota, kabupaten) - Admin 3: 7069 - Admin 4: 81912 Dates associated with this dataset: - 30 October 2025: dataset reviewed for accuracy and completeness - 01 April 2020: valid for use by the humanitarian community - 08 April 2020: last edit to the dataset before publishing - 08 April 2020: boundaries created by the source Contributed by OCHA Regional Office for Asia and the Pacific (ROAP). Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • Saint Martin (French part) - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    500+ Downloads
    Time period of the dataset: 26 January 2024 - 07 November 2024
    Saint Martin (French part) administrative level 0 boundaries (COD-AB) dataset version 01. This dataset contains the national boundary only (admin level 0). Dates associated with this dataset: - 07 November 2024: dataset reviewed for accuracy and completeness - 26 January 2024: valid for use by the humanitarian community - 22 February 2007: last edit to the dataset before publishing - 22 February 2007: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • South Sudan - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    9700+ Downloads
    Time period of the dataset: 19 December 2022 - 09 October 2024
    South Sudan administrative level 0-3 boundaries (COD-AB) dataset version 03. This dataset is structured into 3 levels: - Admin 1: 10 State - Admin 2: 79 County - Admin 3: 512 Payam Dates associated with this dataset: - 09 October 2024: dataset reviewed for accuracy and completeness - 19 December 2022: valid for use by the humanitarian community - 01 November 2020: last edit to the dataset before publishing - 01 November 2020: boundaries created by the source Contributed by OCHA South Sudan. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • Philippines - Subnational Administrative Boundaries
    OCHA Field Information Services Section (FISS)
    60000+ Downloads
    Time period of the dataset: 26 March 2018 - 01 April 2024
    Philippines administrative level 0-4 boundaries (COD-AB) dataset version 03. This dataset is structured into 4 levels: - Admin 1: 17 - Admin 2: 88 - Admin 3: 1642 - Admin 4: 11920 Dates associated with this dataset: - 01 April 2024: dataset reviewed for accuracy and completeness - 26 March 2018: valid for use by the humanitarian community - 09 February 2018: last edit to the dataset before publishing - 09 February 2018: boundaries created by the source Contributed by OCHA Philippines. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
  • Syrian Arab Republic: Baseline Population [By Request Only]
    OCHA Syria
    Time period of the dataset: 31 August 2023 - 31 August 2025
    This dataset contains information on the total population in the Syrian Arab Republic, disaggregated by sex and age, as well as administrative levels 1 through 4. This dataset was last updated in August 2025, and given the recent humanitarian structure transition in Syria, we do not have a specific date for the next updates. This data is currently confidential. It is intended for operational and programmatic use only and cannot be shared for academic or research purposes.
  • Somalia - Subnational Population Statistics
    OCHA Somalia
    8800+ Downloads
    Time period of the dataset: 01 January 2005 - 31 December 2026
    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. UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. 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 The data collected in 2024 has now been endorsed for use.
  • Global - Subnational Administrative Boundaries (Historic)
    HDX
    100+ Downloads
    Time period of the dataset: 01 January 1970 - 21 January 2025
    Global administrative level 1-4 boundaries (COD-AB) dataset for 45 countries / territories, historic versions. This is an aggregation of subnational administrative boundaries available in 3 variations: Edge-Matched: Subnational boundaries are aligned to fit international boundaries. This process results in simplification at the international border, but gaps and overlaps are eliminated. The internal resolution of each subnational boundary layer is not modified by this process. Recommended to use for most use cases. Original: Subnational boundaries are unmodified from their original source. There will be gaps and overlaps at the international border. Recommended if maintaining the integrity of the initial source is important. Extended: This is an intermediate step in the process before edge-matching. Recommended for organizations with specific international boundary needs. Metadata about sources used is also available as a table. A version of this dataset is also available with latest boundaries.