Myanmar Earthquake

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.

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.

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.

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.

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.

OpenStreetMap contains roughly 4.0 million buildings in this region. Based on AI-mapped estimates, this is approximately 36% of the total buildings.The average age of data for this region is 32 years ( Last edited 15 hours ago ) and 23% 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.

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).

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).

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.

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.

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.

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).

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).

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.

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).

Georeferenced image showing areas of control in Myanmar as of 8 March 2025, adapted from map image on Wikipedia's Myanmar page. It can be used in GIS software as a basemap to overlay other information on.

Microsoft AI for Good Lab ran their damage assessment AI models on images provided by Planet and have mapped out the affected buildings in Naypyidaw, Myanmar.

The Overture Maps buildings dataset describes human-made structures with roofs or interior spaces that are permanently or semi-permanently in one place. Resources split by administrative level 1.

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.

Microsoft AI for Good Lab ran their damage assessment AI models on images provided by Planet and have mapped out the affected buildings in Mandalay, Myanmar.

Myanmar administrative level 0-5 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB was most recently reviewed for accuracy and necessary changes in March 2024. The COD-AB requires improvements. Sourced from Myanmar Information Management Unit (MIMU) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Myanmar COD-PS. An edge-matched (COD-EM) version of this COD-AB is available on HDX here. Please see the COD Portal. Administrative level 1 contains 18 feature(s). The normal administrative level 1 feature type is ""State/Region"". Administrative level 2 contains 80 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 330 feature(s). The normal administrative level 3 feature type is ""Township"". Administrative level 4 contains 14,174 feature(s). The normal administrative level 4 feature type is ""Town / Village tract"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 9, 2025.

Myanmar subnational projected population statistics at administrative level 0-3, sex and age disaggregated for 2023. This dataset also contains historical data for: 2022. REFERENCE YEAR: 2023 These population statistics are suitable for database or GIS linkage to the Myanmar - Subnational Administrative Boundaries or the Myanamar - Subnational Edge-matched Administrative Boundaries administrative level 0-3 layers using the ADM0, ADM1, ADM2, and ADM3_PCODE fields. The COD-AB and COD-EM layers manages both 15-feature and 18-feature administrative level 1. These COD-PS tables conform to the 18-feature system. See caveats for further information.

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Myanmar, version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.  The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained File Descriptions: {iso} {gender} {age group} {year} {type} {resolution}.tif iso Three-letter country code gender m = male, f= female, t = both genders age group 00 = age group 0 to 12 months 01 = age group 1 to 4 years 05 = age group 5 to 9 years 90 = age 90 years and over year Year that the population represents type CN = Constrained , UC= Unconstrained resolution Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.  The difference between constrained and unconstrained you can read on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained