Search for a Dataset - Humanitarian Data Exchange

INFORM Severity Index

ACAPS

8700+ Downloads

Time Period of the Dataset [?]: January 01, 2019-July 01, 2024 ... More

This dataset updates: Every month

The INFORM Severity Index is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more about the INFORM Severity Index: https://www.acaps.org/en/thematics/all-topics/inform-severity-index Users can specify time period and download from: https://www.acaps.org/en/data#dataset-3

XLSX

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

ETH Zürich - Weather and Climate Risks

1700+ Downloads

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

This dataset updates: Every year

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

1700+ 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

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

ETH Zürich - Weather and Climate Risks

1600+ 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

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

ETH Zürich - Weather and Climate Risks

2400+ 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

Colombia: Emergencias por Desastres Naturales

OCHA Colombia

300+ Downloads

Time Period of the Dataset [?]: January 01, 2022-July 02, 2024 ... More

This dataset updates: Every month

Emergencias por desastres naturales según reporte de la UNGRD

XLSX

East Africa - CHIRPS Seasonal Rainfall Accumulation Anomaly by Pentad

HDX

700+ Downloads

Time Period of the Dataset [?]: December 26, 2023-May 31, 2024 ... More

This dataset updates: Every week

Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. It is a gridded rainfall time series for trend analysis and seasonal drought monitoring, spans 50°S-50°N (and all longitudes) and ranges from 1981 to near-present. The anomaly refers to the difference between current rainfall and the average rainfall that occurred between 1981 and 2010 in millimeters. For more information visit the CHIRPS site. This dataset contains the latest available CHIRPS anomaly data. The full list of data available is available from USGS for Mar-May data, Oct-Dec data, and others. Additionally, subnational statistics (mean, min, max) have been calculated for Ethiopia, Kenya, and Somalia and are available in the csv resource.

CSV
GeoTIFF

Flood: Hazard Data for Disaster Risk Assessment (selected countries)

ETH Zürich - Weather and Climate Risks

1300+ Downloads

Time Period of the Dataset [?]: April 05, 2000-July 15, 2018 ... More

This dataset updates: Every year

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

Flood footprint of historical events at a 200m x 200m resolution based on the cloud to street database with events from years 2000-2018 (see https://floodbase.com). The events have been processed into one hazard dataset per country.

CSV

Earthquakes: Hazard Data for Disaster Risk Assessment (selected countries)

ETH Zürich - Weather and Climate Risks

1500+ Downloads

Time Period of the Dataset [?]: February 17, 1905-December 03, 2017 ... More

This dataset updates: Every year

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

Earthquake hazard sets at 150 arcsec (ca. 4km) resolution, available for the entire globe and per country. Available as historic records from the USGS epicentres database and as a simple probabilistic sampling starting from the historic earthquake catalog, with 9 synthetic events per historic record. The presented data are maximum intensity on the Modified Mercalli intensity scale (MMI) over the historic record 1904-2017.

CSV

Democratic Republic of the Congo: Natural disaster Impact

OCHA Democratic Republic of the Congo (DRC)

100+ Downloads

Time Period of the Dataset [?]: August 12, 2015-April 12, 2024 ... More

This dataset updates: Every three months

This dataset available on https://ehtools.org contains information on population movements due to the impacts of natural hazards in the DRC.

XLSX

Storm Europe: Data for Disaster Risk Assessment (Ukraine Only)

ETH Zürich - Weather and Climate Risks

100+ Downloads

Time Period of the Dataset [?]: November 01, 1940-December 05, 2013 ... More

This dataset updates: Every year

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

European winter storm [gust in meters per second] footprints for Ukraine. Data presented here is historical, observed data based on the Copernicus WISC project event footprints 1940-2014. Further modelled data are available from the CLIMADA Data API these include 50 probabilistic events per original event, at 4 kilometers resolution. Data available for European countries, and corresponds to the storm hazard today. See key reference Röösli et al. 2021. 2. Winter storm hazards generated from ERA5 (1980-2010) and CMIP6 models (1980-2010 and 2070-2100). In that second case, only Europe wide datasets are available, with lower resolution (depending on the GCM or ERA5 model). See Severino et al. 2023.

CSV

IGAD Region - Monthly Combined Drought Indicator(CDI) 2023

IGAD Climate Prediction and Applications Center (ICPAC)

600+ Downloads

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... 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) 2023

IGAD Climate Prediction and Applications Center (ICPAC)

1600+ Downloads

Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More

This dataset updates: Every week

Dekadal(10days) 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

United Republic of Tanzania: Integrated Context Analysis (ICA), 2019

WFP - World Food Programme

40+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

SHP
PNG

IGAD Region - Dekadal Combined Drought Indicator(CDI) 2022

IGAD Climate Prediction and Applications Center (ICPAC)

1600+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every week

Dekadal(10days) 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 - Monthly Combined Drought Indicator(CDI) 2022

IGAD Climate Prediction and Applications Center (ICPAC)

500+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... 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

Zimbabwe: Integrated Context Analysis (ICA), 2015

WFP - World Food Programme

40+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

United Republic of Tanzania: Integrated Context Analysis (ICA), 2015

WFP - World Food Programme

Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

SHP

Tajikistan: Integrated Context Analysis (ICA), 2015

WFP - World Food Programme

20+ Downloads

Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Chad: Integrated Context Analysis (ICA), 2018

WFP - World Food Programme

10+ Downloads

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

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

SHP

Chad: Integrated Context Analysis (ICA), 2017

WFP - World Food Programme

50+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

Syrian Arab Republic: Integrated Context Analysis (ICA), 2020

WFP - World Food Programme

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

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

SHP

Syrian Arab Republic: Integrated Context Analysis (ICA), 2018

WFP - World Food Programme

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

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

SHP

Eswatini: Integrated Context Analysis (ICA), 2019

WFP - World Food Programme

50+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

South Sudan: Integrated Context Analysis (ICA), 2016

WFP - World Food Programme

30+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More

This dataset updates: Never

This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.