Myanmar Information Management Unit (MIMU)
Last updated on 12 October 2021
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  • 10+ Downloads
    Updated 22 January 2020 | Dataset date: March 01, 2016-March 31, 2016
    This dataset updates: As needed
    Geotiff download link: http://bit.ly/2IjLZtw 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 22 January 2020 | Dataset date: March 01, 2016-March 31, 2016
    This dataset updates: As needed
    Geotiff download link: http://bit.ly/2ToMIjL 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 22 January 2020 | Dataset date: January 16, 2019-January 16, 2019
    This dataset updates: As needed
    Location of Sea Ports in Myanmar. Attributes include Port Name, Port Type (Sea port and deep Sea Port Projects), as well as Source. Data source: Myanma Port Authority, http://www.mpa.gov.mm/ January 2019
  • Updated 22 January 2020 | Dataset date: January 01, 2019-December 31, 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. Main Road links ST/R Capital to Main Towns and to Neighbouring countries. Secondary Road links a Major Road to another Main Road. Tertiary Road links main town to other-town and other-town to other-town. Original dataset title: Myanmar Road Network 2019
  • Updated 22 January 2020 | Dataset date: January 01, 2002-December 31, 2014
    This dataset updates: As needed
    Geotiff download link: http://bit.ly/32L9Fk4 Metadata Download link: http://geonode.themimu.info/documents/30 A Landsat-based classification of Myanmar’s forest cover with a focus on changes in intact forest between 2002 and 2014. Developed by: ALARM, Smithsonian Institution, GMAP and American Museum of Natural History LAND COVER CLASSES: Intact Forest (>80% canopy cover); Degraded Forest (10%-80% canopy cover); New** Degraded Forest; Non-Forest (<10% canopy cover); New Non-Forest; Plantations; New Plantations; Water; Snow or Ice *In dry deciduous forest areas, intact forest was defined as >60% canopy cover and degraded forest was defined as 10%-60% canopy cover. All classes defined as “new” indicate that the class converted from intact forest in 2002 to a “new” land cover class in 2014. Original dataset title: Myanmar 2002-2014 Forest Cover Change
  • Updated 22 January 2020 | Dataset date: August 27, 2019-August 27, 2019
    This dataset updates: As needed
    Low-lying Areas below 5 meters elevation. This dataset is derived from the Multi-Error-Removed Improved-Terrain / MERIT DEM.
  • Updated 22 January 2020 | Dataset date: May 01, 2019-May 31, 2019
    This dataset updates: As needed
    Hard To Reach Village Tracts 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 Village Tract May 2019
  • Updated 22 January 2020 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: As needed
    The boundaries of Amyotha Hluttaw constituencies are defined by the Union Election Commission. The 2020 Constituencies establishes 12 such constituencies per State/Region (total 168). They are determined on the basis of population statistics. . Original dataset title: Amyotha Hluttaw (Upper House) Constituencies 2020
  • Updated 22 January 2020 | Dataset date: May 01, 2019-May 31, 2019
    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
  • 30+ Downloads
    Updated 22 January 2020 | Dataset date: January 01, 2020-December 31, 2020
    This dataset updates: As needed
    Pyithu Hluttaw constituencies follow the administrative boundaries of townships (total 330). Note that this file shows only elected representation per constituency, but not the number of military appointees in the hluttaw. It is important to note that constituencies boundaries for state/region Hluttaw constituencies are only indicative Original dataset title: Pyithu Hluttaw (Lower House) Constituencies 2020
  • Updated 22 January 2020 | Dataset date: September 13, 2019-September 13, 2019
    This dataset updates: As needed
    Location of the industrial zones, Special Economic Zones (SEZ) and other economic development areas. Source: FMR Research and Advisory, MIMU Data Source: FMR Research and Advisory, MIMU
  • 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)
  • 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)
  • 70+ Downloads
    Updated 10 November 2019 | Dataset date: January 09, 2018-January 09, 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
  • Updated 10 November 2019 | Dataset date: June 28, 2019-June 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.
  • Updated 10 November 2019 | Dataset date: January 09, 2018-January 09, 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
  • 300+ Downloads
    Updated 1 July 2019 | Dataset date: June 28, 2019-June 28, 2019
    This dataset updates: As needed
    Transportation network in Myanmar including roads and railways.
  • Updated 17 January 2019 | Dataset date: January 16, 2019-January 16, 2019
    This dataset updates: As needed
    Location of Sea Ports in Myanmar. Attributes include Port Name, Type (sea port and deed sea port) and source