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  • Myanmar - Requirements and Funding Data
    OCHA FTS
    Updated June 19, 2018 | Dataset date: Jun 19, 2018
    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
    • 1300+ Downloads
    • This dataset updates: Every day
  • SiND Sexual violence and abuse against aid workers
    Insecurity Insight
    Updated June 18, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset contains agency- and publicly-reported data on sexual violence and abuse against aid workers between January 2015 and December 2017.
    • XLSX
    • This dataset updates: Every year
  • Geodata of Flood Waters Over Ann area, Rakhine State, Myanmar
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated June 13, 2018 | Dataset date: Aug 14, 2015
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • SiND Attacks on Healthcare Dataset
    Insecurity Insight
    Updated June 11, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    The data has been collected from a wide variety of sources. These include incidents reported in the Safeguarding Healthcare Monthly News Briefs and reported by Aid in Danger partner agencies using the Security in Numbers Database (SiND); incident reports supplied to the SHCC by Médecins Sans Frontières, the Syrian American Medical Society and the World Health Organisation; reports from other UN agencies, including the Office for the Coordination of Humanitarian Affairs and the Office of the High Commissioner for Human Rights; independent NGOs; and media reports.
    • XLSX
    • 70+ Downloads
    • This dataset updates: Every year
  • SiND Attacks on Education Dataset
    Insecurity Insight
    Updated June 11, 2018 | Dataset date: Dec 31, 2017-Dec 31, 2017
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every year
  • SiND Security Incident Data Asia
    Insecurity Insight
    Updated June 10, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset includes incidents affecting the delivery of aid in 18 countries in 2017. The data contains incidents identified in open sources and reported by Aid in Danger partner agencies using the Security in Numbers Database (SiND).
    • XLS
    • 30+ Downloads
    • This dataset updates: Every year
  • WFP and FAO Overview of Countries Affected by the El Niño
    HDX
    Updated June 6, 2018 | Dataset date: Apr 21, 2016
    This dataset contains a list of the countries affected by the El Niño as at April 21, 2016 as reported jointly by FAO, the Global Food Security Cluster and WFP on 21 April 2016 in the 2015-2016 El Niño: WFP and FAO Overview update. According to the World Bank, El Niño is likely to have a negative impact in more isolated local food markets, and many countries are already facing increased food prices. Food Security Cluster partners have implemented preparedness activities and are responding in countries where the effects of El Niño have materialised, such as Ethiopia, Papua New Guinea, Malawi and throughout Central America. In Southern Africa, many areas have seen the driest October-December period since at least 1981, and some 14 million people in the region are already facing hunger, which adds to fears of a spike in the numbers of the food insecure later this year through 2017.
    • CSV
    • GeoJSON
    • 200+ Downloads
    • This dataset updates: Every three months
  • HOTOSM Myanmar Waterways (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated June 2, 2018 | Dataset date: Jun 2, 2018
    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.
  • HOTOSM Myanmar Buildings (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated June 2, 2018 | Dataset date: Jun 2, 2018
    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.
  • HOTOSM Myanmar Points of Interest (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated June 2, 2018 | Dataset date: Jun 2, 2018
    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.
  • HOTOSM Myanmar Roads (OpenStreetMap Export)
    Humanitarian OpenStreetMap Team (HOT)
    Updated June 2, 2018 | Dataset date: Jun 2, 2018
    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.
  • Infant mortality rate (both sexes combined) by major area, region and country...
    HDX
    Updated May 31, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Probability of dying between birth and exact age 1. It is expressed as average annual deaths per 1,000 births
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • UNHCR's populations of concern residing in Myanmar
    UNHCR - The UN Refugee Agency
    Updated May 26, 2018 | 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
    • 20+ Downloads
    • This dataset updates: Live
  • UNHCR's populations of concern originating from Myanmar
    UNHCR - The UN Refugee Agency
    Updated May 26, 2018 | 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
  • SiND Aid Worker KKA Dataset
    Insecurity Insight
    Updated May 17, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • Myanmar - Administrative boundaries
    Myanmar Information Management Unit (MIMU)
    Updated March 13, 2018 | Dataset date: Jun 13, 2014
    Geodata of Myanmar administrative boundaries; adm0 to adm3, including self administered zones, Wa and Kokang region.
  • InterAction member activities in Myanmar
    InterAction
    Updated March 1, 2018 | 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
    • 10+ Downloads
    • This dataset updates: Live
  • Myanmar - Sustainable development, Education, Demographic and Socioeconomic I...
    UNESCO
    Updated March 1, 2018 | Dataset date: Jan 1, 1970-Dec 31, 2017
    Contains data from UNESCO's data portal covering various indicators.
    • CSV
    • This dataset updates: Every year
  • Myanmar - Settlements
    OCHA Myanmar
    Updated February 6, 2018 | Dataset date: Feb 1, 2012-Jul 23, 2015
    Settlements in Myanmar. Town and village
  • Myanmar - Administrative Boundary level 0 - 3
    OCHA Myanmar
    Updated February 6, 2018 | Dataset date: Nov 29, 2014
    Administrative boundary, admin level 1 = state and region , admin level 2 = district and admin level 3 = township. The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
  • MIMU Baseline Data
    OCHA Myanmar
    Updated January 31, 2018 | Dataset date: Jun 30, 2015
    A compilation of time-series data from a variety of sources reported at the national, state, and township level. Additional information about the sources is available in the file.
    • XLSX
    • 70+ Downloads
    • This dataset updates: Every year
  • Myanmar - Health Indicators
    HDX
    Updated January 27, 2018 | 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
  • Topline Indicators
    HDX
    Updated January 25, 2018 | Dataset date: Jan 1, 2011-Dec 31, 2017
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • 1000+ Downloads
    • This dataset updates: Every year
  • Myanmar - Economic and Social Indicators
    HDX
    Updated January 25, 2018 | Dataset date: Jan 1, 1960-Dec 31, 2017
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • 20+ Downloads
    • This dataset updates: Every year
  • Myanmar - Internally displaced persons - IDPs
    Internal Displacement Monitoring Centre (IDMC)
    Updated January 24, 2018 | 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
    • 50+ Downloads
    • This dataset updates: Every year