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  • Tropical cyclone: Hazard Data for Disaster Risk Assessment (selected countries)
    ETH Zürich - Weather and Climate Risks
    3900+ Downloads
    Time Period of the Dataset [?]: January 02, 1980-December 25, 2020 ... More
    Modified [?]: 7 May 2025
    Dataset Added on HDX [?]: 13 March 2024
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    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.
  • Wildfire: Humanitarian Response Plan (HRP) Countries Hazard Data for...
    ETH Zürich - Weather and Climate Risks
    3000+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-January 01, 2020 ... More
    Modified [?]: 5 May 2025
    Dataset Added on HDX [?]: 6 March 2024
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    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).
  • Crop production: Humanitarian Response Plan (HRP) Countries Exposure Data...
    ETH Zürich - Weather and Climate Risks
    2800+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 3 May 2025
    Dataset Added on HDX [?]: 8 February 2024
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    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)
  • LitPop: Humanitarian Response Plan (HRP) Countries Exposure Data for...
    ETH Zürich - Weather and Climate Risks
    3600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 2 April 2025
    Dataset Added on HDX [?]: 10 January 2024
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    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.
  • Peru - Results Monitoring Survey, 2023 Q2
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: April 27, 2023-May 13, 2023 ... More
    Modified [?]: 5 December 2024
    Dataset Added on HDX [?]: 24 September 2023
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    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Peru from April 2023 to May 2023 at national level.
  • Flood: Hazard Data for Disaster Risk Assessment (selected countries)
    ETH Zürich - Weather and Climate Risks
    2400+ Downloads
    Time Period of the Dataset [?]: April 05, 2000-July 15, 2018 ... More
    Modified [?]: 26 June 2024
    Dataset Added on HDX [?]: 28 February 2024
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    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.
  • Earthquakes: Hazard Data for Disaster Risk Assessment (selected countries)
    ETH Zürich - Weather and Climate Risks
    2800+ Downloads
    Time Period of the Dataset [?]: February 17, 1905-December 03, 2017 ... More
    Modified [?]: 4 June 2024
    Dataset Added on HDX [?]: 23 February 2024
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    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.
  • Storm Europe: Data for Disaster Risk Assessment (Ukraine Only)
    ETH Zürich - Weather and Climate Risks
    200+ Downloads
    Time Period of the Dataset [?]: November 01, 1940-December 05, 2013 ... More
    Modified [?]: 6 March 2024
    Dataset Added on HDX [?]: 6 March 2024
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    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.
  • Guatemala - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: July 11, 2022-July 30, 2022 ... More
    Modified [?]: 1 November 2023
    Dataset Added on HDX [?]: 20 November 2023
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    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Guatemala in July 2022 at national level.
  • Trinidad and Tobago - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: October 18, 2022-November 19, 2022 ... More
    Modified [?]: 5 October 2023
    Dataset Added on HDX [?]: 20 November 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR's multi-year strategies to key stakeholders. This RMS took place in Trinidad and Tobago from October 2022 to November 2022 at national level.
  • Brazil - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: September 19, 2022-November 10, 2022 ... More
    Modified [?]: 13 September 2023
    Dataset Added on HDX [?]: 24 September 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Surveys (RMS) is a household-level survey on people with and for whom UNHCR works or who benefit from direct or indirect assistance provided by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. This RMS took place in Brazil from September 2022 to November 2022 at national level.
  • Iraq - Results Monitoring Survey, 2022
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: January 12, 2022-December 05, 2022 ... More
    Modified [?]: 7 September 2023
    Dataset Added on HDX [?]: 11 June 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Survey (RMS) has the objective of monitoring the impact and outcome of UNHCR's assistance on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. UNHCR Iraq has authorized IMPACT to undertake a Results Monitoring Survey targeting IDP/returnee and refugee families, including beneficiaries and non-beneficiaries, throughout Iraq in 2022 to assist in internal monitoring of results and impact indicators. This survey will help UNHCR create and execute successful interventions for Iraqi IDP/returnee and refugee families by providing vital information on their well-being and living situations.
  • Republic of Korea - Results Monitoring Survey 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: September 12, 2022-January 11, 2023 ... More
    Modified [?]: 4 July 2023
    Dataset Added on HDX [?]: 9 July 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Results Monitoring Survey
    The UNHCR Results Monitoring Survey (RMS) is a household-level survey covering people who are directly or indirectly assisted by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. Additionally, in the Republic of Korea the survey covered rejected Asylum-Seekers. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders. The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The questionnaire was adapted to the Korean context and programme objectives by removing, e.g. questions related to camp settings. Questions related to the rejected asylum seekers in need of protection and family members abroad were added. The data includes indicators collected at both the household and individual (household-member) level. The survey covered 424 household amounting to 950 individuals.