Demographic, Healthcare and Education from MIMU Baseline Data (Union and State/Region level)

This dataset describes demographic information, number of healthcare and education facilities and human resources/staff in States/Regions of Myanmar.

Data Resources (1)

Additional Info

Field Value
Dataset topic category
  • Access to education
  • Access to education and health care
  • Demographics
  • Hospitals and clinics
  • Public health
Language
  • English
Use limitations By accessing this website or database, users agree to take full responsibility for reliance on any site information provided and to hold harmless and waive any and all liability against individuals or entities associated with its development, form and content for any loss, harm or damage suffered as a result of its use.
Dataset reference date 08/10/2016
GeoNames
  • Myanmar
Positional Accuracy ODMM team found some issues regarding the accuracy of the data. For instances, the area (km2) of some townships are extremely small.
Logical Consistency There are no known issues with logical consistency.
Completeness The MIMU Baseline Dataset tracks available data from published sources on more than 200 indicators across 12 sectors to support planning and monitoring processes. In this dataset, only the area (km2) no of village tracts, villages, wards, Health care facilities and staff, Education facilities and staff were included. Data for Education and Health Information Management Systems, has been entered for several consecutive years allowing us to use the MIMU Baseline data to track trends at township level. However, most recent data was showed in this dataset. Vlookup function was used to ensure that the data are accurate.
Process Step The information was extracted from The MIMU Baseline Dataset. The MIMU Baseline Dataset tracks available data from published sources on more than 200 indicators across 12 sectors to support planning and monitoring processes. In this dataset, only the rea (km2) no of village tracts, villages, wards, Health care facilities and staff, Education facilities and staff were extracted. Data for Education and Health Information Management Systems, has been entered for several consecutive years allowing us to use the MIMU Baseline data to track trends at township level. However, most recent data was showed in this dataset.
Lineage Statistical Yearbook 2014 for Education Data, Township Health Profile 2011 for Health Data and General Administration Department's data for Area (km2), number of village tracts, wards and villagesMyanmar Information Management Unit (MIMU)http://themimu.info/The MIMU Baseline Dataset tracks available data from published sources on more than 200 indicators across 12 sectors to support planning and monitoring processes. The MIMU team gathers data at the lowest administrative level at which it is available (i.e. Union, State/Region or Township level), and digitizes this in the form of a DevInfo database (enables simple maps to be generated by users) and as an Excel table for those who are not familiar with DevInfo. Data from some sources, such as the Education and Health Information Management Systems, has been entered for several consecutive years allowing us to use the MIMU Baseline data to track trends at township level.
Responsible party Myanmar Information Management Unit (MIMU) http://themimu.info/
Metadata creator information Statistical Yearbook 2014 for Education Data, Township Health Profile 2011 for Health Data and General Administration Department's data for Area (km2), number of village tracts, wards and villages Myanmar Information Management Unit (MIMU) http://themimu.info/ The MIMU Baseline Dataset tracks available data from published sources on more than 200 indicators across 12 sectors to support planning and monitoring processes. The MIMU team gathers data at the lowest administrative level at which it is available (i.e. Union, State/Region or Township level), and digitizes this in the form of a DevInfo database (enables simple maps to be generated by users) and as an Excel table for those who are not familiar with DevInfo. Data from some sources, such as the Education and Health Information Management Systems, has been entered for several consecutive years allowing us to use the MIMU Baseline data to track trends at township level.
Attributes pcode_c: place code of country; name_c: name of country; pcode_st: place code of State/Region; name_st: name of State/Region; pcode_dt: place code of district; name_dt: name of district; pcode_ts: place code of township; name_ts: name of township; number_vt: number of village tract; number_w: number of wards; number_v: number of villages; area_km2: area in km2; gen_hos: General hospital; dis_hos: District hospital; town_hos: Township hospital; station_hos: Station hospital; mch_center: Maternal and Child Health Center; rhc: Rural Health Center; srhc: Sub Rural Health Center; doctors: Doctors; nurses: Nurses; midwives: Midwives; high_school: High school; mid_school: Middle school; pri_school: Primary school; high_students: High school students; mid_students: middle school students; pri_students: primary school students; high_teacher: high school teacher; mid_teacher: middle school teacher; pri_teacher: primary school teacher
License Creative Commons Attribution
Copyright No
Version 1.0
Date Uploaded August 10, 2016, 11:31 (UTC)
Date Modified December 3, 2019, 17:04 (UTC)