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Time Period of the Dataset [?]: September 21, 2022-April 22, 2025
Modified [?]: 22 April 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.
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2400+ Downloads
Time Period of the Dataset [?]: January 01, 2010-April 11, 2025
Modified [?]: 22 April 2025
Dataset Added on HDX [?]: 15 December 2021
This dataset updates: Every week
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.
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Time Period of the Dataset [?]: January 01, 2001-December 31, 2028
Modified [?]: 22 April 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.
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1000+ Downloads
Time Period of the Dataset [?]: April 22, 2025-April 22, 2025
Modified [?]: 22 April 2025
Dataset Added on HDX [?]: 21 July 2017
This dataset updates: Every day
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.
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300+ Downloads
Time Period of the Dataset [?]: April 22, 2025-April 22, 2025
Modified [?]: 22 April 2025
Dataset Added on HDX [?]: 5 December 2019
This dataset updates: Every day
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.
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Time Period of the Dataset [?]: January 01, 2001-April 22, 2025
Modified [?]: 22 April 2025
Dataset Added on HDX [?]: 21 July 2017
This dataset updates: Every day
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.
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Time Period of the Dataset [?]: April 17, 2025-April 17, 2025
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).
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Time Period of the Dataset [?]: April 17, 2025-April 17, 2025
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).
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Time Period of the Dataset [?]: April 17, 2025-April 17, 2025
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).
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Time Period of the Dataset [?]: April 17, 2025-April 17, 2025
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).
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Time Period of the Dataset [?]: April 17, 2025-April 17, 2025
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).
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200+ Downloads
Time Period of the Dataset [?]: April 15, 2025-April 15, 2025
Modified [?]: 15 April 2025
Dataset Added on HDX [?]: 21 July 2017
This dataset updates: Every day
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.
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20+ Downloads
Time Period of the Dataset [?]: April 06, 2025-April 06, 2025
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).
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Time Period of the Dataset [?]: April 10, 2025-April 10, 2025
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).
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30+ Downloads
Time Period of the Dataset [?]: March 29, 2025-April 01, 2025
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.
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200+ Downloads
Time Period of the Dataset [?]: April 09, 2025-April 09, 2025
Modified [?]: 9 April 2025
Dataset Added on HDX [?]: 5 December 2019
This dataset updates: Every day
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.
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100+ Downloads
Time Period of the Dataset [?]: April 09, 2025-April 09, 2025
Modified [?]: 9 April 2025
Dataset Added on HDX [?]: 5 December 2019
This dataset updates: Every day
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.
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40+ Downloads
Time Period of the Dataset [?]: April 03, 2025-April 03, 2025
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).
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10+ Downloads
Time Period of the Dataset [?]: April 03, 2025-April 03, 2025
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 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).
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10+ Downloads
Time Period of the Dataset [?]: April 02, 2025-April 02, 2025
Modified [?]: 2 April 2025
Dataset Added on HDX [?]: 3 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 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).
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20+ Downloads
Time Period of the Dataset [?]: March 08, 2025-March 08, 2025
Modified [?]: 2 April 2025
Dataset Added on HDX [?]: 2 April 2025
This dataset updates: Never
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.
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70+ Downloads
Time Period of the Dataset [?]: March 31, 2025-March 31, 2025
Modified [?]: 1 April 2025
Dataset Added on HDX [?]: 1 April 2025
This dataset updates: Never
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.
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200+ Downloads
Time Period of the Dataset [?]: March 19, 2025-March 19, 2025
Modified [?]: 1 April 2025
Dataset Added on HDX [?]: 29 March 2025
This dataset updates: As needed
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.
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Time Period of the Dataset [?]: January 01, 1997-March 31, 2027
Modified [?]: 31 March 2025
Dataset Added on HDX [?]: 13 March 2023
This dataset updates: Every week
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.
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200+ Downloads
Time Period of the Dataset [?]: March 28, 2025-March 28, 2025
Modified [?]: 31 March 2025
Dataset Added on HDX [?]: 31 March 2025
This dataset updates: Never
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.