Key Figures
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  • OCHA FTS
    Updated November 21, 2017 | Dataset date: Nov 21, 2017
    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
    • 400+ Downloads
    • This dataset updates: Every day
  • HDX
    Updated November 8, 2017 | Dataset date: Jan 1, 2011-Dec 31, 2016
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • 200+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated November 8, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • HDX
    Updated November 8, 2017 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • 100+ Downloads
    • This dataset updates: Every year
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern originating from Myanmar. There are five types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • 20+ Downloads
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated October 24, 2017 | Dataset date: Jan 1, 1990-Dec 31, 2027
    Data about UNHCR's populations of concern residing in Myanmar. There are six types of data available (by year, unless otherwise noted): Persons of concern Time-series data for refugees Demographic profile of refugees Refugee status determination for asylum seekers Number of asylum seekers (by month). Refugees resettled. The source data comes from the UNHCR Population Statistics portal.
    • CSV
    • 10+ Downloads
    • This dataset updates: Live
  • InterAction
    Updated October 24, 2017 | Dataset date: Nov 16, 2015-Dec 31, 2027
    List of aid activities by InterAction members in Myanmar. Source: http://ngoaidmap.org/location/gn_1327865
    • CSV
    • JSON
    • This dataset updates: Live
  • OurAirports
    Updated October 20, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Myanmar, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MM/
    • CSV
    • 10+ Downloads
    • This dataset updates: Live
  • This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 160 thousand square meters of destroyed structures occurring between 25 September and 1 October 2017. This represents an increase of approximately 1% since last UNOSAT analysis with imagery collected on 25 September, when more than 20.5 square kilometers of destroyed structures were identified. Additionally, 6 fires were detected within the area between 25 September and 1 October 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 1 October. Finally, heavy cloud cover and haze during the period in question, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 400 thousand square meters of destroyed structures occurring between 16 and 25 September 2017. This represents an increase of approximately 2% since last UNOSAT analysis with imagery collected on 16 September, when more than 20 square kilometers of destroyed structures were identified. Additionally, 122 fires were detected within the area between 16 and 25 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 25 September. Finally, heavy cloud cover during the period in question, and on 16 and 25 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 400 thousand square meters of destroyed structures occurring between 16 and 25 September 2017. This represents an increase of approximately 2% since last UNOSAT analysis with imagery collected on 16 September, when more than 20 square kilometers of destroyed structures were identified. Additionally, 122 fires were detected within the area between 16 and 25 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 25 September. Finally, heavy cloud cover during the period in question, and on 16 and 25 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar, as seen in satellite imagery collected on 16 September 2017. The analysis found a total area of more than 20 square kilometers of destroyed structures within the 2,000 square kilometers analyzed. According to other data on town locations it is likely that more than 160 towns are affected within the area analyzed. Additionally, 144 fires were detected within the area between 25 August and 21 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 16 September. Finally, heavy cloud cover during the period in question, and on 16 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage in the village of Chein Khar Li (Ku Lar), Koe Tan Kauk tract, Rathedaung township, Rakhine state, Myanmar. Using imagery collected on 31 August 2017, and comparing with imagery collected on 16 May 2017, UNOSAT identified 671 destroyed structures whitin the village. Analysis showed visible signs of scorching with darkened soils and burned vegetation. Almost the entire village appears destroyed. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • WorldPop
    Updated September 6, 2017 | Dataset date: Jan 1, 2015
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated September 6, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2016
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • 30+ Downloads
    • This dataset updates: Every day
  • OCHA Myanmar
    Updated August 3, 2017 | Dataset date: Feb 1, 2012-Jul 23, 2015
    Settlements in Myanmar. Town and village
  • WFP - World Food Programme
    Updated July 26, 2017 | Dataset date: Jul 24, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 1100+ Downloads
    • This dataset updates: Every month
  • OCHA Myanmar
    Updated July 5, 2017 | Dataset date: Jan 1, 2016-Apr 15, 2017
    Myanmar 2016 Cash Transfer Programming activities 4W Map townships Mobile money innovation spotlight 2017 projections
    • XLSX
    • 80+ Downloads
    • This dataset updates: Every six months
  • OCHA Myanmar
    Updated April 7, 2017 | Dataset date: Dec 4, 2017
    Shapefiles for Rivers/Streams of Myanmar
  • OCHA Myanmar
    Updated April 7, 2017 | Dataset date: Dec 4, 2013
    Zipped shapefile for transportation infrastructure in Myanmar. Including roads, railways, seaports, airports shapefile.
  • OCHA Myanmar
    Updated April 7, 2017 | Dataset date: Jul 16, 2015
    Population for State and Region, District, Township, Village Tract, Ward
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never