Multi-Tier Framework for Measuring Energy Access 2017
Nepal, 2017
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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3. District (District)
Data file: maindataset
Overview
Valid:
6000
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
90
End:
91
Width:
2
Range:
1 - 75
Format:
Numeric
Questions and instructions
Literal question
3. District
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 75 |
1.3%
|
| 2 | Panchthar | 90 |
1.5%
|
| 3 | Ilam | 120 |
2%
|
| 4 | Jhapa | 195 |
3.3%
|
| 5 | Morang | 210 |
3.5%
|
| 6 | Sunsari | 195 |
3.3%
|
| 7 | Dhankuta | 45 |
0.8%
|
| 8 | Tehrathum | 30 |
0.5%
|
| 9 | Sankhuwasabha | 45 |
0.8%
|
| 10 | Bhojpur | 90 |
1.5%
|
| 11 | Solukhumbu | 120 |
2%
|
| 12 | Okhaldhunga | 75 |
1.3%
|
| 13 | Khotang | 45 |
0.8%
|
| 14 | Udayapur | 90 |
1.5%
|
| 15 | Saptari | 75 |
1.3%
|
| 16 | Siraha | 90 |
1.5%
|
| 17 | Dhanusha | 45 |
0.8%
|
| 18 | Mahottari | 150 |
2.5%
|
| 19 | Sarlahi | 120 |
2%
|
| 20 | Sindhuli | 60 |
1%
|
| 21 | Ramechhap | 90 |
1.5%
|
| 22 | Dolakha | 120 |
2%
|
| 23 | Sindhupalchok | 210 |
3.5%
|
| 24 | Kavrepalanchok | 105 |
1.8%
|
| 25 | Lalitpur | 90 |
1.5%
|
| 26 | Bhaktapur | 30 |
0.5%
|
| 27 | Kathmandu | 600 |
10%
|
| 28 | Nuwakot | 90 |
1.5%
|
| 29 | Rasuwa | 0 |
0%
|
| 30 | Dhading | 75 |
1.3%
|
| 31 | Makwanpur | 60 |
1%
|
| 32 | Rautahat | 15 |
0.3%
|
| 33 | Bara | 30 |
0.5%
|
| 34 | Parsa | 90 |
1.5%
|
| 35 | Chitwan | 45 |
0.8%
|
| 36 | Gorkha | 30 |
0.5%
|
| 37 | Lamjung | 30 |
0.5%
|
| 38 | Tanahun | 75 |
1.3%
|
| 39 | Syangja | 15 |
0.3%
|
| 40 | Kaski | 15 |
0.3%
|
| 41 | Manang | 0 |
0%
|
| 42 | Mustang | 0 |
0%
|
| 43 | Myagdi | 45 |
0.8%
|
| 44 | Parbat | 15 |
0.3%
|
| 45 | Baglung | 75 |
1.3%
|
| 46 | Gulmi | 45 |
0.8%
|
| 47 | Palpa | 45 |
0.8%
|
| 48 | Nawalparasi | 150 |
2.5%
|
| 49 | Rupandehi | 45 |
0.8%
|
| 50 | Kapilbastu | 60 |
1%
|
| 51 | Arghakhachi | 45 |
0.8%
|
| 52 | Pyuthan | 120 |
2%
|
| 53 | Rolpa | 15 |
0.3%
|
| 54 | Rukum | 90 |
1.5%
|
| 55 | Salyan | 60 |
1%
|
| 56 | Dang | 60 |
1%
|
| 57 | Banke | 60 |
1%
|
| 58 | Bardiya | 0 |
0%
|
| 59 | Surkhet | 135 |
2.3%
|
| 60 | Dailekh | 105 |
1.8%
|
| 61 | Jajarkot | 30 |
0.5%
|
| 62 | Dolpa | 15 |
0.3%
|
| 63 | Jumla | 60 |
1%
|
| 64 | Kalikot | 105 |
1.8%
|
| 65 | Mugu | 45 |
0.8%
|
| 66 | Humla | 15 |
0.3%
|
| 67 | Bajura | 105 |
1.8%
|
| 68 | Bajhang | 120 |
2%
|
| 69 | Achham | 60 |
1%
|
| 70 | Doti | 60 |
1%
|
| 71 | Kailali | 150 |
2.5%
|
| 72 | Kanchanpur | 60 |
1%
|
| 73 | Dadeldhura | 30 |
0.5%
|
| 74 | Baitadi | 60 |
1%
|
| 75 | Darchula | 135 |
2.3%
|
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.