Myanmar Information Management Unit (MIMU)
Last updated on March 3, 2020
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  • 50+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 9, 2018
    This dataset updates: As needed
    Formal sector school location in Lower Myanmar: Ayeyarwady Region, Bago State, Kayah State, Kayin State, Mon State, Tanintharyi Region, Yangon Region Location data was collected in 2015-16 by the Ministry of Education (MoE) and compiled by MIMU. The attribute table includes school name in Myanmar only, latitude, longitude and P-code up to Township level
  • 10+ Downloads
    Updated March 2, 2020 | Dataset date: Aug 14, 2018
    This dataset updates: As needed
    Ward shp file (polygons) for Yangon city which includes the 33 townships of YCDC area. Pcoded as of Pcode v8.1 Includes 636 wards The ward polygons were digitized based on the GAD sketch maps, 2017
  • 60+ Downloads
    Updated November 10, 2019 | Dataset date: Jul 28, 2019
    This dataset updates: As needed
    Ward administrative boundaries for 96 towns in Myanmar. Source: Digitization based GAD Township profile maps 2017, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources.
  • 20+ Downloads
    Updated March 2, 2020 | Dataset date: Jun 28, 2019
    This dataset updates: As needed
    Ward administrative boundaries for 96 towns in Myanmar. Source: Digitization based GAD Township profile maps 2017, except for Sagaing, Kengtung, Taungoo and Hpa-An cities based on field sources. P-codes missing in Dagon Myothit (Seikkan) (Yangon): 15 wards Dagon Myothit (North) (Yangon): 1 ward Kyaikto (Mon): 1 ward
  • 30+ Downloads
    Updated November 10, 2019 | Dataset date: Mar 31, 2017
    This dataset updates: As needed
    Village Tract boundaries developed by MIMU with Pcode v8.1. These boundaries are not authoritative. Place Names: General Administration Department (GAD) and field sources. Place names on this product are in line with the general cartographic practice to reflect the names of such places as designated by the government concerned. Transliteration by MIMU.
  • 60+ Downloads
    Updated November 10, 2019 | Dataset date: Jun 28, 2019
    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.
  • 50+ Downloads
    Updated November 10, 2019 | Dataset date: Jan 9, 2018
    This dataset updates: As needed
    Formal Sector school location in Upper Myanmar includes Kachin State, Sagaing Region, Chin State, Rakhine State, Magway Region, Shan State, Mandalay Region and Nay Pyi Taw Union Territory. Location data was collected in 2015-16 by the Ministry of Education (MoE) and compiled by MIMU. The attribute table includes school name in Myanmar only, latitude, longitude and MIMU P-code up to Township level
  • 10+ Downloads
    Updated January 22, 2020 | Dataset date: Jan 1, 2000
    This dataset updates: As needed
    Land use in Myanmar from UNEP 2000 data.
  • Updated January 22, 2020 | Dataset date: Feb 3, 2010
    This dataset updates: As needed
    Myanmar national river network(lines). Place names from GAD with transliteration by MIMU. Lines by MIMU revised from the Digital Chart of the World. 1m scale.
  • Updated January 22, 2020 | Dataset date: Feb 3, 2010
    This dataset updates: As needed
    Myanmar national river network(lines). Place names from GAD with transliteration by MIMU. Lines by MIMU revised from the Digital Chart of the World. 250k scale.
  • Updated January 22, 2020 | Dataset date: Jul 13, 2011
    This dataset updates: As needed
    Myanmar national rail network (lines). Place names from GAD with transliteration by MIMU. Lines by MIMU using 250k Topo sheet as a reference.
  • Updated January 22, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2014
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Jan 1, 2002-Dec 31, 2014
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Aug 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.
  • Updated January 22, 2020 | Dataset date: Apr 20, 2016
    This dataset updates: As needed
    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
  • Updated January 22, 2020 | Dataset date: Mar 1, 2016-Mar 31, 2016
    This dataset updates: As needed
    This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is the original version generated according to the methodology outlined in the corresponding manuscript. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Original)
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Ayeyarwady Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Mar 1, 2016-Mar 31, 2016
    This dataset updates: As needed
    This dataset is the result of a land cover analysis for Myanmar's Tanintharyi Region based on March, 2016 Landsat 8 OLI imagery. The primary purpose of the study was to map natural forest for each of four ecological forest types (Mangrove, Mixed Deciduous, Lowland Evergreen, Upland Evergreen). A number of other land use/land cover types are also included in the dataset, including human settlement areas, rice paddyfields, and agroforestry plantations. This dataset is a REVISED version of the land cover map generated according to the methodology outlined in the corresponding manuscript (see below for citation). This version has been manually edited to fill cloud holes using 2015 data and to fix a number of obvious mis-classifications, particularly for oil palm and settlement areas. [Citation: Connette, G., P. Oswald, M. Songer, and P. Leimgruber. 2016. Mapping distinct forest types improves overall forest identification based on multi-spectral Landsat imagery. Remote Sensing 8: 882.] [Spatial reference: WGS84 UTM47N] Original dataset title: Tanintharyi Region Land Cover - March 2016 (Improved)
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Bago Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Kayah State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Kayin State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Magway Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 22, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Tanintharyi Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Jan 23, 2018
    This dataset updates: As needed
    Village Tract boundary for the Nay Pyi Taw Region (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.
  • Updated January 22, 2020 | Dataset date: Feb 28, 2018
    This dataset updates: As needed
    Village Tract boundaries for the Mon State (polygons). Place names from GAD with transliteration by MIMU. Boundaries by MIMU.