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  • 500+ Downloads
    Time Period of the Dataset [?]: September 21, 2022-May 24, 2025 ... More
    Modified [?]: 24 May 2025
    Dataset Added on HDX [?]: 12 December 2024
    This dataset updates: Every day
    GDACS alerts are issued for earthquakes and possible subsequent tsunamis, tropical cyclones, floods and volcanoes. Earthquake, tsunami and tropical cyclones calculations and assessments are done automatically, without human intervention. Floods and volcanic eruptions are currently manually introduced. Research and development is continuous to improve the global monitoring.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-December 31, 2028 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 24 October 2024
    This dataset updates: Every day
    This dataset contains data obtained from the HDX Humanitarian API (HDX HAPI), which provides standardized humanitarian indicators designed for seamless interoperability from multiple sources. The data facilitates automated workflows and visualizations to support humanitarian decision making. For more information, please see the HDX HAPI landing page and documentation.
  • 900+ Downloads
    Time Period of the Dataset [?]: May 23, 2025-May 23, 2025 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 21 July 2017
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Roads
    OpenStreetMap contains roughly 507.2 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 30 % of the total road length in the dataset region. The average age of data for the region is 32 years ( Last edited 4 days ago ) and 31% of roads were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['highway'] IS NOT NULL Features may have these attributes: name name:en highway surface smoothness width lanes oneway bridge layer source name:my This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Time Period of the Dataset [?]: May 23, 2025-May 23, 2025 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 5 December 2019
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM Populated Places
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city') OR tags['landuse'] IN ('residential') Features may have these attributes: name name:en place landuse population is_in source name:my This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 300+ Downloads
    Time Period of the Dataset [?]: May 23, 2025-May 23, 2025 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 5 December 2019
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Health Facilities
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy') Features may have these attributes: name name:en amenity building healthcare healthcare:speciality operator:type capacity:persons addr:full addr:city source name:my This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 100+ Downloads
    Time Period of the Dataset [?]: May 23, 2025-May 23, 2025 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 5 December 2019
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Education Facilities
    This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university') Features may have these attributes: name name:en amenity building operator:type capacity:persons addr:full addr:city source name:my This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 3800+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-May 23, 2025 ... More
    Modified [?]: 23 May 2025
    Dataset Added on HDX [?]: 21 July 2017
    This dataset updates: Every day
    This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • 2400+ Downloads
    Time Period of the Dataset [?]: January 01, 2010-May 16, 2025 ... More
    Modified [?]: 22 May 2025
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: Every week
    This dataset is part of the data series [?]: ACLED - Conflict Events
    A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Myanmar. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
  • 200+ Downloads
    Time Period of the Dataset [?]: May 22, 2025-May 22, 2025 ... More
    Modified [?]: 22 May 2025
    Dataset Added on HDX [?]: 21 July 2017
    This dataset updates: Every day
    This dataset is part of the data series [?]: HOTOSM - Buildings
    OpenStreetMap contains roughly 4.5 million buildings in this region. Based on AI-mapped estimates, this is approximately 40% of the total buildings.The average age of data for this region is 32 years ( Last edited 3 days ago ) and 31% buildings were added or updated in the last 6 months. Read about what this summary means : indicators , metrics This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['building'] IS NOT NULL Features may have these attributes: name name:en building building:levels building:materials addr:full addr:housenumber addr:street addr:city office source name:my This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 1997-March 31, 2027 ... More
    Modified [?]: 17 May 2025
    Dataset Added on HDX [?]: 13 March 2023
    This dataset updates: Every week
    This dataset is part of the data series [?]: IFRC - Appeals
    The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.
  • 2700+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2025 ... More
    Modified [?]: 15 May 2025
    Dataset Added on HDX [?]: 9 March 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • 200+ Downloads
    Time Period of the Dataset [?]: April 30, 2023-December 12, 2024 ... More
    Modified [?]: 9 May 2025
    Dataset Added on HDX [?]: 9 June 2023
    This dataset updates: Every year
    Humanitarian access constraints data compiled at national level based on workshops in the 10 Departements (admin 1). The dataset provides an estimation on the severity level for different type of actors and different types of access constraints.
  • 12000+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-April 30, 2025 ... More
    Modified [?]: 8 May 2025
    Dataset Added on HDX [?]: 10 July 2019
    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
  • Time Period of the Dataset [?]: May 01, 2025-May 01, 2025 ... More
    Modified [?]: 1 May 2025
    Dataset Added on HDX [?]: 2 May 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map illustrates the potentially damaged structures/buildings affected by the March 28, 2025, earthquake in Mandalay. The analysis focuses on a part of Monywa Township, Monywa District, Sagaing Region, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on April 25, 2025. UNOSAT identified 27 damaged structures and 170 potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More
    Modified [?]: 29 April 2025
    Dataset Added on HDX [?]: 29 April 2025
    This dataset updates: As needed
    El archivo tiene los resultados del cálculo de las Personas en Necesidad (PiN) y las Severidades del clúster de Alojamientos y Asentamientos (AyA) para el año 2025 en Colombia.
  • 30+ Downloads
    Time Period of the Dataset [?]: April 24, 2025-December 31, 2025 ... More
    Modified [?]: 24 April 2025
    Dataset Added on HDX [?]: 24 April 2025
    This dataset updates: Every year
    This dataset contains the overall people in need and intersectoral severity by disaggregation level which Includes administrative divisions and population groups, depending on each country's decision. The dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners using the Joint Intersectoral Analysis Framework(JIAF).
  • 10+ Downloads
    Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More
    Modified [?]: 17 April 2025
    Dataset Added on HDX [?]: 18 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map shows the locations where damage was detected based on a very high resolution satellite image collected 03 April 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.5 in this area. Across the site, 34 damaged buildings within the cultural site were observed and an additional 7 buildings have possible damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More
    Modified [?]: 17 April 2025
    Dataset Added on HDX [?]: 18 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328THA, GDACS ID: 1474477 This map shows no visible damage based on a very high resolution satellite image collected 29 March 2025 when compared to very high resolution satellite imagery from 1 February 2025. The USGS shake map indicates the intensity of the earthquake measured 5.0 in this area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More
    Modified [?]: 17 April 2025
    Dataset Added on HDX [?]: 18 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 The map shows no visible damage within the cultural site when analysed using a very high resolution image collected 3 April 2025 when compared to Pleiades satellite series. The USGS shake map indicates the intensity of the earthquake measured 5.5-6.5 in this area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More
    Modified [?]: 17 April 2025
    Dataset Added on HDX [?]: 18 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map shows the locations where damage was detected based on a very high resolution satellite image collected 30 March 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.5 in this area. Across the site, 6 damaged buildings within the cultural site were observed and an additional 5 buildings have possible damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More
    Modified [?]: 17 April 2025
    Dataset Added on HDX [?]: 18 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map shows the locations where damage was detected based on a very high resolution satellite image collected 03 April 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.0 - 8.5 in this area. Across the site 11 damaged cultural heritage locations were observed and an additional 3 have possible damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 30+ Downloads
    Time Period of the Dataset [?]: April 06, 2025-April 06, 2025 ... More
    Modified [?]: 11 April 2025
    Dataset Added on HDX [?]: 6 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map illustrates the density of damaged buildings affected by the March 28, 2025, earthquake in Mandalay. The analysis focuses on Wundwin Township, Meiktila District, Mandalay Region, where damage was detected using a Pleiades very high-resolution satellite image acquired on April 01, 2025. Over the 270 km² of analysed area, 325 damaged structures and 672 potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 30+ Downloads
    Time Period of the Dataset [?]: April 10, 2025-April 10, 2025 ... More
    Modified [?]: 10 April 2025
    Dataset Added on HDX [?]: 11 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map illustrates the density of damaged buildings affected by the March 28, 2025, earthquake in Mandalay. The analysis focuses on Mandalay & Sagaing Districts. Within the map extent of about 2,100 km², UNOSAT, Copernicus EMS and ICube-SERTIT observed a total of 4,764 destroyed and damaged structures & 4,369 potentially damaged structures. Within Mandalay City boundary of about 110km², a total of 1,076 structures are observed as destroyed and damaged, & a total of 519 structures are observed as potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 50+ Downloads
    Time Period of the Dataset [?]: March 29, 2025-April 01, 2025 ... More
    Modified [?]: 9 April 2025
    Dataset Added on HDX [?]: 4 April 2025
    This dataset updates: Every two weeks
    This rapid needs assessment was launched immediately after the earthquake and collected from March 29th - April 1st, 2025. The assessment targeted the areas affected by the earthquake and includes 391 responses collected through an online opt-in survey panel. The instrument is based on standard disaster assessment tools used by other humanitarian actors.
  • 60+ Downloads
    Time Period of the Dataset [?]: April 03, 2025-April 03, 2025 ... More
    Modified [?]: 3 April 2025
    Dataset Added on HDX [?]: 4 April 2025
    This dataset updates: Never
    UNOSAT code: EQ20250328MMR, GDACS ID: 1474477 This map illustrates the number of affected buildings within specific Towns/Village Tracts boundaries of interest in Sagaing and Mandalay, Myanmar, as of 30 March 2025. Within the analyzed area—52 Towns/Village Tracts covering approximately 340 km², UNOSAT identified 1,095 damaged structures and 1,325 potentially damaged ones. The analysis represents areas where more than 50% of each Village Tract has been assessed for impact. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).