Severity Crisis myanmar earthquake Humanitarian Datasets | Find Crisis Data

Myanmar - Requirements and Funding Data

4100+ Downloads

Time Period of the Dataset [?]: January 01, 2001-May 12, 2025 ... More

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.

CSV

GDACS RSS Information

Global Disaster Alert and Coordination System

500+ Downloads

Time Period of the Dataset [?]: September 21, 2022-May 11, 2025 ... More

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.

CSV

HDX HAPI Data for Myanmar

HDX Humanitarian API Data

500+ Downloads

Time Period of the Dataset [?]: January 01, 2001-December 31, 2028 ... More

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.

CSV

Myanmar Buildings (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

200+ Downloads

Time Period of the Dataset [?]: May 11, 2025-May 11, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: HOTOSM - Buildings

OpenStreetMap contains roughly 4.4 million buildings in this region. Based on AI-mapped estimates, this is approximately 39% of the total buildings.The average age of data for this region is 32 years ( Last edited 23 hours ago ) and 29% 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.

Myanmar Roads (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

1000+ Downloads

Time Period of the Dataset [?]: May 11, 2025-May 11, 2025 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: HOTOSM - Roads

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.

Myanmar Populated Places (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

200+ Downloads

Time Period of the Dataset [?]: May 11, 2025-May 11, 2025 ... More

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.

Myanmar Health Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

400+ Downloads

Time Period of the Dataset [?]: May 11, 2025-May 11, 2025 ... More

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.

Myanmar Education Facilities (OpenStreetMap Export)

Humanitarian OpenStreetMap Team (HOT)

200+ Downloads

Time Period of the Dataset [?]: May 11, 2025-May 11, 2025 ... More

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.

Haiti - Humanitarian Access Severity

OCHA Haiti

200+ Downloads

Time Period of the Dataset [?]: April 30, 2023-December 12, 2024 ... More

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.

XLSX

INFORM Severity Index

ACAPS

13000+ Downloads

Time Period of the Dataset [?]: January 01, 2019-April 30, 2025 ... 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

Myanmar - Conflict Events

Armed Conflict Location & Event Data Project (ACLED)

2500+ Downloads

Time Period of the Dataset [?]: January 01, 2010-May 02, 2025 ... More

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.

XLSX

Damage Assessment in Monywa Township, Monywa District, Sagaing Region,...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: May 01, 2025-May 01, 2025 ... More

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).

Colombia: Cálculo de las Personas en Necesidad (PiN) y las Severidades del...

3iSolution

Time Period of the Dataset [?]: January 01, 2025-December 31, 2025 ... More

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.

XLSX

Syrian Arab Republic: JIAF Humanitarian Needs People in Need and Severity

OCHA Syria

20+ Downloads

Time Period of the Dataset [?]: April 24, 2025-December 31, 2025 ... More

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).

XLSX
PDF

Satellite-detected Damage to Cultural Heritage in Tada-U as of 03 April 2025

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More

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).

Satellite-detected Damage the UNESCO Tentative List component Chiang Mai as...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More

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).

Satellite-detected Damage in the Cultural Property Mahamuni Pagoda as of 30...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More

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).

Satellite-detected damage in the cultural property Pinya as of 30 March 2025

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More

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).

Satellite-detected damage to cultural heritage in Min Kun as of 03 April 2025

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: April 17, 2025-April 17, 2025 ... More

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).

Damage Assessment in Wundwin Township, Meiktila District Mandalay Region,...

United Nations Satellite Centre (UNOSAT)

30+ Downloads

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

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).

Damage Assessment in Mandalay & Sagaing Districts, Myanmar as of 03 April 2025

United Nations Satellite Centre (UNOSAT)

30+ Downloads

Time Period of the Dataset [?]: April 10, 2025-April 10, 2025 ... More

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).

Myanmar - Remote Survey on Rapid Needs Assessment

Premise Data

50+ Downloads

Time Period of the Dataset [?]: March 29, 2025-April 01, 2025 ... More

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.

CSV

Damage Assessment in Sagaing and Mandalay, Myanmar as of 30 March 2025

United Nations Satellite Centre (UNOSAT)

60+ Downloads

Time Period of the Dataset [?]: April 03, 2025-April 03, 2025 ... More

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).

Damage Assessment in Sagaing Township, Sagaing District, Sagaing Region,...

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: April 03, 2025-April 03, 2025 ... More

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 Sagaing Township, Sagaing District, Sagaing Region, where damage was detected using a Pleiades very high-resolution satellite image acquired on March 30, 2025, at 11:01 local time. UNOSAT identified 233 damaged structures and 557 potentially damaged ones. 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).

Damage Assessment in Mahaaungmyay, Chanmyathazi and Chanayethazan Townships,...

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: April 02, 2025-April 02, 2025 ... More

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 Mahaaungmyay, Chanmyathazi, and Chanayethazan Townships in Mandalay District, Mandalay Region, where damage was detected using a Pleiades very high-resolution satellite image acquired on March 30, 2025, at 11:01 local time. UNOSAT identified 509 damaged structures and 284 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).