Myanmar Information Management Unit (MIMU)
Member since 9 December 2015
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  • Updated 26 April 2022 | Dataset date: March 01, 2022-April 09, 2022
    This dataset updates: As needed
    Myanmar national rail network (lines) Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Lines by MIMU using Google Satellite images as a reference. Updated railway data in March 2022 based on Google Satellite images and the Ministry of Transport and Communications. The status of the railway has not been verified.
  • 10+ Downloads
    Updated 26 April 2022 | Dataset date: April 25, 2022-April 25, 2022
    This dataset updates: As needed
    Ward shape file (polygons) for Myanmar which includes 175 towns. Source: Digitization based General Administration Department (GAD) Township profile maps 2018, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources. P-codes missing in Kyaikto (Mon): 1 ward
  • Updated 26 April 2022 | Dataset date: March 01, 2022-March 30, 2022
    This dataset updates: As needed
    Lakes and Dams in Myanmar. This dataset was extracted from Landsat satellite images, Sentinel-1 ESA satellite images, and Google satellite images.
  • 200+ Downloads
    Updated 11 March 2022 | Dataset date: February 01, 2022-May 21, 2022
    This dataset updates: As needed
    Road network with main, secondary and tertiary roads. This network-based connectivity approach mainly uses population centres, such as, Union capital, State/Region capital, Main town, other town and village location, as the bases to road network. Updated road data in February 2022 based on OSM,Google Satellite Map and Department of Highways (Ministry of Construciton). Original dataset title: Myanmar Road Network 2022
  • 30+ Downloads
    Updated 11 March 2022 | Dataset date: January 22, 2021-January 22, 2022
    This dataset updates: As needed
    Location of Airports in Myanmar. Attributes include Airport Name, Status , Lat, Long and Location by Administrative boundaries. Data source: Mission Aviation Fellowship International (MAF International - Myanmar), https://www.mafc.org/countries/myanmar | September 2020
  • 60+ Downloads
    Updated 17 June 2021 | Dataset date: March 01, 2011-March 01, 2015
    This dataset updates: Every year
    The Baseline data values coming from various sources. Each indicator tracked by the MIMU. The data in these files is updated on a regular basis as new datasets are received and processed.
  • 10+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    Formal Sector Schools for Basic Education in Myanmar. Location data was verified in May 2019 by the Ministry of Education (MoE) and compiled by MIMU. Some school locations have yet to be confirmed and some may not be included in this dataset. Original dataset title: Formal Sector School Location Lower Myanmar (2019)
  • 20+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    Formal Sector Schools for Basic Education in Myanmar. Location data was verified in October 2019 by the Ministry of Education (MoE) and compiled by MIMU. Some school locations have yet to be confirmed and some may not be included in this dataset. Original dataset title: Formal Sector School Location Upper Myanmar (2019)
  • 10+ Downloads
    Updated 22 January 2020 | Dataset date: May 01, 2019-January 22, 2020
    This dataset updates: As needed
    Hard To Reach Towns in Myanmar. The General Administration Department defines the Hard to Reach areas in three categories (Moderate, Hard, Very Hard) according to road accessibility across seasons Order No. 44/219, 8 May 2019 by the Ministry of Planning and Finance Original dataset title: Hard To Reach Towns May 2019
  • 300+ Downloads
    Updated 24 June 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: As needed
    Polygons of Myanmar State, Region and Union territory boundaries (Admin1) with Sub-regions, based on the latest MIMU Pcode version 9.3 and information provided by field offices and government departments. Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 200+ Downloads
    Updated 12 November 2021 | Dataset date: March 18, 2021-March 18, 2021
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated 12 November 2021 | Dataset date: January 29, 2021-January 29, 2021
    This dataset updates: Every year
    MIMU Pcode is similar to a zip code or postal code, and is a part of a data management system providing unique reference codes to around 67,000 locations across Myanmar. The MIMU maintains the P-codes for Myanmar based on information collected from a variety of sources, including the Government gazette and humanitarian and development organizations. Without a system for organizing such data it is almost impossible for data from more than one source to be combined.
  • 70+ Downloads
    Updated 24 June 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: As needed
    Polygons of Village Tract boundaries (Admin4) for the Kachin State, based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 30+ Downloads
    Updated 24 June 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: As needed
    Polygons of Village Tract boundaries (Admin4) for the Kayah State, based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 90+ Downloads
    Updated 24 June 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: As needed
    Polygons of Village Tract boundaries (Admin4) for the Sagaing Region, based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 70+ Downloads
    Updated 24 June 2021 | Dataset date: May 30, 2021-May 30, 2021
    This dataset updates: As needed
    Polygons of Village Tract boundaries (Admin4) for the Shan State, based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 80+ Downloads
    Updated 24 June 2021 | Dataset date: May 30, 2021-May 30, 2021
    This dataset updates: As needed
    Polygons of Village Tract boundaries (Admin4) for the Yangon Region, based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 300+ Downloads
    Updated 24 June 2021 | Dataset date: May 31, 2021-May 31, 2021
    This dataset updates: As needed
    Polygons of Myanmar District boundaries (Admin2), based on the latest MIMU Pcode version 9.3 . Place names from General Administration Department (GAD), are available in Myanmar Unicode. Transliteration in roman script by MIMU. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the host governments.
  • 100+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2000-January 01, 2000
    This dataset updates: As needed
    Land use in Myanmar from UNEP 2000 data.
  • 30+ Downloads
    Updated 22 January 2020 | Dataset date: February 03, 2010-February 03, 2010
    This dataset updates: As needed
    Myanmar national river network(lines). Data from the Digital Chart of the World. Digitization revised by MIMU at 1:250,000 scale. This dataset was mainly digitized at 1:250’000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned.
  • 100+ Downloads
    Updated 22 January 2020 | Dataset date: February 03, 2010-February 03, 2010
    This dataset updates: As needed
    Myanmar national river network (polylines). Place names from General Administration Department (GAD) with transliteration by MIMU. Polylines by MIMU based on the Digital Chart of the World. This dataset was mainly digitized at 1:1,000,000 scale. Place names are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned. The United Nations and the MIMU specifically do not make any warranties or representations as to the accuracy or completeness of this dataset nor does it imply official endorsement or acceptance by the United Nations.
  • 30+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2002-December 31, 2014
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2VOvrlD Metadata Download link: http://geonode.themimu.info/documents/27 A Landsat-based classification of forest cover in Kachin State and Sagaing Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating mining from other non-forest land cover classes. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Kachin State and Sagaing Region 2002-2014 Forest Cover Change
  • 10+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2002-December 31, 2014
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2wq7KFy Metadata download link: http://geonode.themimu.info/documents/26 A Landsat-based classification of forest cover in Tanintharyi Region with a focus on changes in intact forest between 2002 and 2014. This dataset expands upon the Myanmar 2002-2014 Forest Cover Change raster*, by differentiating oil palm plantations from other plantations. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History *http://geonode.themimu.info/layers/geonode%3Amyanmar_forestcoverchange See the recommended style file (.txt) in the documents section for associating raster values and creating the legend. Original dataset title: Tanintharyi Region 2002-2014 Forest Cover Change
  • 20+ Downloads
    Updated 22 January 2020 | Dataset date: April 20, 2016-April 20, 2016
    This dataset updates: As needed
    Geotiff download link : http://bit.ly/2PHtJyf This is a Landsat 8-based classification of the extent and condition of mangrove forests in Tanintharyi Region. The classification is derived from satellite images which were acquired in 2014. The classification is based on ground truth data, which was collected in May and June 2015. In addition, further training polygons were digitized based on high-resolution Google Maps and Bing Maps data. This dataset is a filtered version of the initial classification result. The classified mangrove classes are ‘Intact to slightly degraded mangroves’, ‘Degraded mangroves’, ‘Heavily degraded mangroves’ and ‘Nipa monoculture’. suggested citiation: Stephani, A.; Oswald, P.; Koellner, T.; Wegmann, M., 2016. Tanintharyi Region Mangrove Forest dataset (2014). Point of contact: annastephani@gmx.de and patrickoswald@fauna-flora.org
  • 40+ Downloads
    Updated 22 January 2020 | Dataset date: August 31, 2016-August 31, 2016
    This dataset updates: As needed
    This is a dataset of possible mining areas in Myanmar that was digitized from a systematic search of high-resolution imagery available on Google Earth and Bing Aerial. Digitizing took place in late 2015 and early 2016 with the most recent imagery available (usually 2014 or 2015). A field in the attribute table called "Certainty" indicates the how confident we were that the digitized polygon is a mine, rather than some other type of ground disturbance.