Sub national Geodata Humanitarian Datasets | Find Crisis Data

IGAD Region - Monthly Combined Drought Indicator (CDI) 2025

IGAD Climate Prediction and Applications Center (ICPAC)

50+ Downloads

Time Period of the Dataset [?]: January 01, 2025-May 31, 2025 ... More

This dataset updates: Every month

Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

IGAD Region - Dekadal Combined Drought Indicator (CDI) 2025

IGAD Climate Prediction and Applications Center (ICPAC)

80+ Downloads

Time Period of the Dataset [?]: January 01, 2025-May 30, 2025 ... More

This dataset updates: Every week

This dataset is part of the data series [?]: IGAD - Dekadal Combined Drought Indicators

Dekadal (10 days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.

GeoTIFF

Ethiopia - Tigray Region Water Schemes Functionality

3iSolution

Time Period of the Dataset [?]: May 31, 2024-May 31, 2024 ... More

This dataset updates: As needed

These datasets provide functionality statistics for motorized and non-motorized water schemes across various zones/woredas of Tigray region.

Geopackage

USGS Magnitude 2.5+ Earthquakes

HDX

100+ Downloads

Time Period of the Dataset [?]: February 01, 2023-June 23, 2025 ... More

This dataset updates: Live

This data lists events with magnitude 2.5+ which have been located by the USGS and contributing agencies within the last day and last week. To see these events in an interactive map, see the USGS map. For more information, see the USGS site.

GeoJSON
CSV

UNHCR Population Reference Areas

UNHCR - The UN Refugee Agency

100+ Downloads

Time Period of the Dataset [?]: July 23, 2021-June 23, 2025 ... More

This dataset updates: Live

Polygon layer that represent the areas of Population Reference Points. Available only for the main People of Concern locations.

UNHCR Population Reference Points (PRP)

UNHCR - The UN Refugee Agency

100+ Downloads

Time Period of the Dataset [?]: June 07, 2021-June 23, 2025 ... More

This dataset updates: Live

Point layer that represents populated places locations (e.g., capitals/ cities/ towns) and of administrative units (Level 1, 2 and 3 depending on availability).

UNHCR Global Administrative Divisions (Admin1)

UNHCR - The UN Refugee Agency

1200+ Downloads

Time Period of the Dataset [?]: June 23, 2022-June 23, 2025 ... More

This dataset updates: Live

This layer shows the different administrative boundaries (levels: 1) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.

Global airports

WFP - World Food Programme

3500+ Downloads

Time Period of the Dataset [?]: October 06, 2015-October 06, 2015 ... More

This dataset updates: As needed

This layer contains airports locations. This dataset brings together various public sources such as OpenStreetMap or ourairports.com with WFP logistics information. It is updated regularly with inputs from WFP aviation unit but also from many partners through the Logistics Cluster and the Logistics Capacity Assessment (LCA: dlca.logcluster.org). The information is compiled at a global level by the Emergency and Preparedness Geospatial Information Unit at the World Food Programme (WFP) Headquarters in Rome, Italy. This dataset is at a global scale and is updated country by country. The last update date can be retrieved from the data of the country of interest.

GeoJSON

Second-level administrative divisions (admin2)

UNHCR - The UN Refugee Agency

1200+ Downloads

Time Period of the Dataset [?]: June 23, 2022-June 23, 2025 ... More

This dataset updates: Live

This layer shows the different administrative boundaries (levels: 2) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.

Indonesia: 2018 Earthquake-Tsunami in Palu

Esri

Time Period of the Dataset [?]: October 02, 2018-October 02, 2018 ... More

This dataset updates: Never

Imagery captured by Digital Globe on 2 October 2018 of Palu, Indonesia. The data is available as a service https://www.arcgis.com/home/item.html?id=d0ff196041e04e0d8d3a09e1e435625d where the tiffs can also be downloaded.

GeoTIFF

GRID3 COD - Health Areas v5.0

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

10+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2024 ... More

This dataset updates: Never

The GRID3 COD - Health Areas v5.0 dataset consists of health area boundaries with name, location, health zone, and other attributes for fifteen provinces in the Democratic Republic of the Congo (COD). This data release supersedes the GRID3 COD - Health Areas v4.0. The following changes were made: Updated data for Haut-Lomami Province Added data for Kongo-Central Province Province level data are also available. Suggested Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Health Areas v5.0. New York: Columbia University. (URL). Accessed (DAY MONTH YEAR).

GRID3 COD - Health Facilities v5.0

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

10+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2024 ... More

This dataset updates: Never

The GRID3 COD - Health Facilities v5.0 dataset consists of health facility points with name, location, health zone, and health area, among other attributes, for fifteen provinces in the Democratic Republic of the Congo (COD). This data release supersedes the GRID3 COD - Health Facilities v4.0. The following changes were made: Updated data for Haut-Lomami Province Added data for Kongo-Central Province Province level data are also available. Suggested Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Health Facilities v5.0. New York: Columbia University. (URL). Accessed (DAY MONTH YEAR).

GRID3 COD - Settlement Names v5.0

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

Time Period of the Dataset [?]: January 01, 2018-December 31, 2024 ... More

This dataset updates: Never

The GRID3 COD - Settlement Names v5.0 dataset. The dataset consists of settlement points with name and attributes for fifteen provinces in the Democratic Republic of the Congo (COD). The current version supersedes the GRID3 COD - Settlement Names v4.0. The following changes were made: Updated data for Haut-Lomami Province Added data for Kongo-Central Province Province level data are also available. Suggested Dataset citation: Center for Integrated Earth System Information (CIESIN), Columbia University, Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of the Congo, and GRID3. 2025. GRID3 COD - Settlement Names v5.0. New York: Columbia University. (URL) . Accessed (DAY MONTH YEAR).

West & Central Africa Food Security Data - Cadre Harmonise (CH) and...

Food Security and Nutrition Working Group, West and Central Africa

7400+ Downloads

Time Period of the Dataset [?]: January 01, 2014-August 31, 2025 ... More

This dataset updates: Every six months

The Cadre Harmonisé (CH) and Integrated Food Security Phase Classification (IPC) are analytical frameworks which synthesize indicators of food and nutrition security outcomes and the inference of contributing factors into scales and figures representing the nature and severity of crisis and implications for strategic response in food security and nutrition. There is also a global Acute Food Insecurity Country dataset.

Colombia - Subnational Administrative Boundaries

OCHA Latin America and the Caribbean (ROLAC)

COD+ 8000+ Downloads

Time Period of the Dataset [?]: December 01, 2019-November 30, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Colombia administrative level 0-2 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2019 NOTE: COD-PS updated August 2024. The metadata dates reflect that the most recent administrative structure change was the creation of ADM2 feature ""Barrancominas"" [CO94343] in 2019. This COD-AB was most recently reviewed for accuracy and necessary changes in November 2024. The COD-AB does not require any update. Sourced from Departamento Administrativo Nacional de Estadística (DANE) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Colombia COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 33 feature(s). The normal administrative level 1 feature type is 'Departement'. Administrative level 2 contains 1,122 feature(s). The normal administrative level 2 feature type is 'Municipality (municipio or distrito)'. Recommended cartographic projection: South America Albers Equal Area Conic This metadata was last updated on January 18, 2025.

Ukraine: Border Crossings

OCHA Ukraine

3400+ Downloads

Time Period of the Dataset [?]: May 20, 2025-May 21, 2025 ... More

This dataset updates: Every year

This dataset includes the names, types, statuses, and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.

West Africa - Biomass Yearly Productions and Anomalies from 1999 to 2024:...

Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA

1700+ Downloads

Time Period of the Dataset [?]: January 01, 1999-December 31, 2024 ... More

This dataset updates: Every year

Yearly biomass Production and anomalies retrieved from DMP and computed by BioGenerator The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. The product is based on data from PROBA-V (©) and SPOT-VEGETATION (©) ESA. These data are freely accessible for humanitarian or research purposes. Any commercial exploitation of this data is prohibited. No compensation can be demanded in exchange for the dissemination of this data. Anomaly file values: [0; 200]: Anomaly expressed as a % of the average (1999-today) -9999: No data -9998: Biomass always zero -9997: Season not started yet -9996: Biomass too low -9995: Outside area of interest Biomass file values: [0 ; +inf[: Yearly biomass production (kg/ha) -9999: No data -9995: Outside area of interest For more information, please visit: www.sigsahel.info Productions annuelles de biomasse et anomalies en Afrique de l'Ouest de 1999 à 2024 : version raster Production annuelle de biomasse et anomalies extraites du DMP et calculées par BioGenerator Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Le produit est basé sur les données de PROBA-V (©) et SPOT-VEGETATION (©) ESA. Ces données sont accessibles librement à des fins humanitaires ou de recherche. Toute exploitation commerciale de ces données est interdite. Aucune compensation ne peut être exigée en échange de la diffusion de ces données. Valeurs des fichiers d'anomalies : [0 ; 200] : Anomalie exprimée en % de la moyenne (1999-aujourd'hui) -9999 : Aucune donnée -9998 : Biomasse toujours nulle -9997 : Saison pas encore commencée -9996 : Biomasse trop faible -9995 : Hors zone d'intérêt Valeurs des fichiers de biomasse : [0 ; +inf[ : Production annuelle de biomasse (kg/ha) -9999 : Aucune donnée -9995 : En dehors de la zone d'intérêt Pour plus d'informations, veuillez visiter : www.sigsahel.info

GeoTIFF

UNHCR People of Concern

UNHCR - The UN Refugee Agency

400+ Downloads

Time Period of the Dataset [?]: June 07, 2021-June 23, 2025 ... More

This dataset updates: Live

Geographic point layer representing all the people of concern's known locations in the world ( Refugees, Internally displaced, Stateless persons and other of concern). The data is displayed by population type and location type (typology adapted from the SPHERE handbook standard).

Antigua and Barbuda: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

French Southern Territories: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

American Samoa: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Armenia: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Argentina: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

United Arab Emirates: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

20+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF

Andorra: Copernicus Global Human Settlement Layer (GHSL)

Copernicus

10+ Downloads

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

This dataset updates: Every year

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

GeoTIFF