• Time Period of the Dataset [?]: December 26, 2023-March 25, 2024 ... More
    Modified [?]: 28 March 2024
    Dataset Added on HDX [?]: 14 September 2022
    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.
    500+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: March 15, 2022-March 29, 2024 ... More
    Modified [?]: 27 March 2024
    Dataset Added on HDX [?]: 15 March 2022
    The Risk List enumerates the risks ACAPS analysts have identified. ACAPS analysts conduct daily monitoring and independent analysis of more than 150 countries to support evidence-based decision-making in the humanitarian sector. The information comes from publicly available sources and expert opinions. Learn more about the ACAPS Risk list: https://www.acaps.org/en/thematics/all-topics/risk-list
    100+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2019-February 01, 2024 ... More
    Modified [?]: 24 March 2024
    Dataset Added on HDX [?]: 10 July 2019
    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
    5800+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2021-March 29, 2024 ... More
    Modified [?]: 19 March 2024
    Dataset Added on HDX [?]: 27 February 2023
    The dataset tracks protection events on a global level, using various publicly available sources, including – but not limited to – local, regional, and international operational and non-operational humanitarian organisations; UN agencies; media; and social media platforms. Data is collected and reviewed regularly, and the dataset is continuously updated. Methodology ACAPS has identified categories for tracking ‘protection events’, including one-time events, policies, and recurrent violations. Protection events are those that impede people’s meaningful access to humanitarian assistance and their rights, safety, and dignity. These events may impose violence, coercion, or deliberate deprivation​. In the table below, we present the list of protection indicators and their scope. The Protection Indicators Monitor Dataset provides information relevant to the main protection threats, vulnerabilities, and coping strategies of affected populations and the existing capacities to address them. It informs decision makers and humanitarian responders about potential protection risks to the affected people and/or their service operations.
    100+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 18 March 2024
    Dataset Added on HDX [?]: 8 February 2024
    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)
    80+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: August 01, 1980-December 25, 2020 ... More
    Modified [?]: 13 March 2024
    Dataset Added on HDX [?]: 13 March 2024
    Tropical cyclone wind footprints (m/s) at 150 arcsec (approx 4 kilometers at equator) resolution. Available as global files and per country; Historical, observed records are published here. Synthetically created, probabilistic events, from various modelling sources, for present and future climate scenarios are available from the CLIMADA API.
    40+ Downloads
    This dataset updates: Every year
  • Time Period of the Dataset [?]: November 01, 1940-December 05, 2013 ... More
    Modified [?]: 6 March 2024
    Dataset Added on HDX [?]: 6 March 2024
    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.
    10+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: January 01, 2001-January 01, 2020 ... More
    Modified [?]: 6 March 2024
    Dataset Added on HDX [?]: 6 March 2024
    Global wildfire dataset at 4km resolution, based on MODIS satellite data 2000-2021 (cf https://firms.modaps.eosdis.nasa.gov).
    100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: April 05, 2000-July 15, 2018 ... More
    Modified [?]: 28 February 2024
    Dataset Added on HDX [?]: 28 February 2024
    Flood footprint of historical events at a 200m x 200m resolution based on the cloud to street database with events ranging from the years 2002-2018 (see https://floodbase.com). The events have been processed into one hazard dataset per country.
    50+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: February 17, 1905-December 03, 2017 ... More
    Modified [?]: 23 February 2024
    Dataset Added on HDX [?]: 23 February 2024
    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 1905-2017.
    80+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 22 January 2024
    Dataset Added on HDX [?]: 26 October 2023
    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.
    100+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 22 January 2024
    Dataset Added on HDX [?]: 26 October 2023
    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.
    100+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 18 January 2024
    Dataset Added on HDX [?]: 10 January 2024
    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.
    1100+ Downloads
    This dataset updates: Every year
    This dataset is part of the data series [?]: ETH Zürich - Weather and Climate Risks
  • Time Period of the Dataset [?]: January 01, 2022-April 30, 2023 ... More
    Modified [?]: 1 December 2023
    Confirmed [?]: 1 December 2023
    Dataset Added on HDX [?]: 23 March 2023
    Emergencias por desastres naturales según reporte de la UNGRD
    100+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 23 November 2023
    Dataset Added on HDX [?]: 23 November 2023
    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.
    30+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: August 12, 2015-November 21, 2023 ... More
    Modified [?]: 21 November 2023
    Confirmed [?]: 26 December 2023
    Dataset Added on HDX [?]: 10 November 2022
    This dataset available on https://ehtools.org contains information on population movements due to the impacts of natural hazards in the DRC.
    100+ Downloads
    This dataset updates: Every three months
  • Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 27 October 2023
    Confirmed [?]: 27 October 2023
    Dataset Added on HDX [?]: 26 October 2023
    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.
    100+ Downloads
    This dataset updates: Every week
  • Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 26 October 2023
    Confirmed [?]: 26 October 2023
    Dataset Added on HDX [?]: 26 October 2023
    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.
    80+ Downloads
    This dataset updates: Every month
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    20+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    20+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    20+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
  • Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    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.
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA