Geodata Sub national Humanitarian Datasets | Find Crisis Data

Philippines: Flooding

Time Period of the Dataset [?]: July 06, 2025-July 06, 2025 ... More

This dataset updates: As needed

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of July 06, 2025, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

PNG
SHP

Philippines: Flooding

The Philippine Space Agency

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

This dataset updates: As needed

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of May 21, 2025, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

PNG
SHP

UNHCR Population Reference Points (PRP)

UNHCR - The UN Refugee Agency

100+ Downloads

Time Period of the Dataset [?]: June 07, 2021-July 13, 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).

Second-level administrative divisions (admin2)

UNHCR - The UN Refugee Agency

1200+ Downloads

Time Period of the Dataset [?]: June 23, 2022-July 13, 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.

Syrian Arab Republic: Baseline Population [By Request Only]

OCHA Syria

COD

Time Period of the Dataset [?]: August 31, 2023-June 30, 2024 ... More

This data is by request only

This dataset is part of the data series [?]: COD - Subnational Population Statistics

This dataset contains information on the total population in the Syrian Arab Republic, disaggregated by sex and age, as well as administrate levels 1 through 4.

Request access

Eritrea Accessibility to Cities

IGAD Climate Prediction and Applications Center (ICPAC)

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

This dataset updates: As needed

Accessibility to cities quantifies the time it takes to travel to the nearest urban center via surface transport as of 2015. The dataset uses data on roads, railways, rivers, water bodies, and foot travel on different land cover types. Resolution of about 0.00833 , which is approximately less than 1km No information provided

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Eritrea Livestock Density

IGAD Climate Prediction and Applications Center (ICPAC)

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

This dataset updates: As needed

This dataset contains the most up to date version of GLW 4 for the reference year 2020 for the following species: buffalo, cattle, sheep, goats, pigs and chicken. The individual species datasets are available at global extent and 5 minutes of arc resolution (approx. 10 km at the equator). The layers contain the density of animals per km², with weight estimated by the Random Forest model. The livestock species modelled include: buffaloes, cattle, chickens, goats, pigs and sheep No information provided

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Eritrea Cropland Mask

IGAD Climate Prediction and Applications Center (ICPAC)

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

This dataset updates: As needed

The dataset contains global crop at 0.0089286 deg resolution (about 1 squared kilometer). No information provided

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GeoJSON

Eritrea Livelihood Zones

IGAD Climate Prediction and Applications Center (ICPAC)

Time Period of the Dataset [?]: June 19, 2025-June 19, 2025 ... More

This dataset updates: As needed

Livelihood zones - Anthromes (Anthropogenic Biomes) represent the globally significant patterns of Earth’s ecology created and sustained by human populations and their use of land, including Intensive anthromes (dense settlements, villages, croplands, and rangelands), Cultured anthromes (low intensity use woodlands and drylands), and Wildlands without evidence of human populations or land use. These maps illustrate human cultural transformation and use of the terrestrial biosphere over the past 12,000 years at 60 time points between 10,000 BCE and 2017 CE, at the scale of regional landscapes (~100 km2), using a Discrete Global Grid system (DGG) that divides Earth’s land into 1,429,024 equal area hexagons. No information provided

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Somalia Malaria Index

IGAD Climate Prediction and Applications Center (ICPAC)

Time Period of the Dataset [?]: June 19, 2025-June 19, 2025 ... More

This dataset updates: As needed

The Malaria Atlas Project Data Platform provides different tools to learn about, explore, and work with malaria data. The platform also provides malaria data at varying levels of detail to suit different needs. This suite of tools aims to support the needs of diverse audiences, including the general public, the media, policy analysts, engineers, as well as researchers. No information provided

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Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries)

ETH Zürich - Weather and Climate Risks

4200+ Downloads

Time Period of the Dataset [?]: January 02, 1980-December 25, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks

Tropical cyclone wind footprints (m/s) at 150 arcsec (approx 4 kilometers at equator) resolution. Available as global files and per country; available for historically observed records, and synthetically created, probabilistic events, from various modelling sources, for present and future climate scenarios.

CSV

Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for...

ETH Zürich - Weather and Climate Risks

3100+ Downloads

Time Period of the Dataset [?]: January 01, 2001-January 01, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks

Global wildfire dataset at 4km resolution, based on MODIS satellite data 2000-2021 (cf https://firms.modaps.eosdis.nasa.gov).

CSV

Global airports

WFP - World Food Programme

3400+ 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

Crop production: Humanitarian Response Plan (HRP) Countries Exposure Data...

ETH Zürich - Weather and Climate Risks

3000+ Downloads

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

This dataset updates: Every year

This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks

Historical and twenty-first century crop production in tons. Global gridded (4km resolution) crop yield simulations for maize, rice, soybean, and wheat, encompassing an ensemble of transient yield simulation output from eight global gridded crop models driven by bias-corrected output from five global climate models, as facilitated by the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP, isimip.org)

CSV

Indonesia: 2018 Earthquake-Tsunami in Palu

Esri

10+ Downloads

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

LitPop: Humanitarian Response Plan (HRP) Countries Exposure Data for...

ETH Zürich - Weather and Climate Risks

3700+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks

A high-resolution asset exposure dataset produced using 'lit population' (LitPop), a globally consistent methodology to disaggregate asset value data proportional to a combination of nightlight intensity and geographical population data. Exposure data for population, asset values and productive capital at 4km spatial resolution globally, consistent across country borders. The dataset offers value for manifold use cases, including globally consistent economic disaster risk assessments and climate change adaptation studies, especially for larger regions, yet at considerably high resolution. The Climada Data API can be used to explore the full, original datasets.

CSV

GRID3 COD - Health Areas v5.0

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

80+ 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)

70+ 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)

40+ Downloads

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).

Colombia - Subnational Administrative Boundaries

OCHA Latin America and the Caribbean (ROLAC)

COD+ 8100+ 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) Vetting 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

Somalia Soil Organic Carbon

IGAD Climate Prediction and Applications Center (ICPAC)

Time Period of the Dataset [?]: May 12, 2025-May 12, 2025 ... More

This dataset updates: As needed

GSOCmap is the first global soil organic carbon map ever produced through a consultative and participatory process involving member countries, which makes this map totally new and unique. In fact, the map was prepared by member countries, under the guidance of the Intergovernmental Technical Panel on Soils and the Global Soil Partnership Secretariat. Countries agreed on the methodology to produce the map and were trained on modern tools and methodologies to develop national maps. The Global Soil Partnership then gathered all national maps to produce the final product, ensuring a thorough harmonization process. No information provided

SHP
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Somalia Dependency Ratio

IGAD Climate Prediction and Applications Center (ICPAC)

Time Period of the Dataset [?]: May 12, 2025-May 12, 2025 ... More

This dataset updates: As needed

Somalia Sub-national level dependency ratios: Africa 2010 Gridded, spatial datasets for Africa providing version 1.0 estimates for dependency ratios at sub-national level. Ratios are based on sub-national estimates for 5-year age group proportions. The series is comprised of 3 raster datasets: 1) The ratio of dependents (both young, 0 to 14, and old, 65 ) upon the working age population; 2) The ratio of young dependents upon the working age population; 3) The ratio of older dependents upon the working age population. REGION: Africa DATA RESOLUTION: Sub-national administrative areas SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Sub-national dependency ratios FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) DATASET CONSTRUCTION DETAILS: This dataset is derived from the WorldPop Whole Continent Age Structures data series, described here: http://www.worldpop.org.uk/data/data_sources/. The Population count raster datasets for the relevant age groups were combined using spatial analytical tools in a GIS system, in order to derive the dependency ratios. Full details of WorldPop population mapping methodologies are described here: www.worldpop.org.uk/data/methods/ DATE OF PRODUCTION: Dec 2016 No information provided

SHP
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Somalia Aridity Index

IGAD Climate Prediction and Applications Center (ICPAC)

Time Period of the Dataset [?]: May 12, 2025-May 12, 2025 ... More

This dataset updates: As needed

Aridity index (AI) is an effective estimator of drought status, and spatiotemporally continuous long-term AI dataset is critical for drought assessment and applications No information provided

SHP
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