Multi-Tier Framework for Measuring Energy Access 2017
Myanmar, 2017
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Dec 05, 2019
Last modified
Dec 05, 2019
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State/ Region (ID1_01)
Data file: Myanmar_01_main
Overview
Valid:
3446
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
12
End:
13
Width:
2
Range:
1 - 15
Format:
Numeric
Questions and instructions
Literal question
State/ Region
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 01-Kachin | 105 |
3%
|
| 2 | 02-Kayah | 30 |
0.9%
|
| 3 | 03-Kayin | 165 |
4.8%
|
| 4 | 04-Chin | 45 |
1.3%
|
| 5 | 05-Sagaing | 315 |
9.1%
|
| 6 | 06-Tanintharyi | 195 |
5.7%
|
| 7 | 07-Bago | 300 |
8.7%
|
| 8 | 08-Magway | 210 |
6.1%
|
| 9 | 09-Mandalay | 405 |
11.8%
|
| 10 | 10-Mon | 150 |
4.4%
|
| 11 | 11-Rakhine | 210 |
6.1%
|
| 12 | 12-Yangon | 596 |
17.3%
|
| 13 | 13-Shan | 390 |
11.3%
|
| 14 | 14-Ayeyawady | 240 |
7%
|
| 15 | 15-Naypyitaw | 90 |
2.6%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.