National Climate Change Impact Survey 2016
Nepal, 2016
Central Bureau of Statistics
Created on January 19, 2022
Last modified January 19, 2022
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District (DIST)
Data file: S01
Overview
Valid:
5060
Invalid:
0
Minimum:
1
Maximum:
71
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 75
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 180 |
3.6%
|
| 2 | Panchthar | 120 |
2.4%
|
| 3 | Ilam | 0 |
0%
|
| 4 | Jhapa | 0 |
0%
|
| 5 | Morang | 260 |
5.1%
|
| 6 | Sunsari | 0 |
0%
|
| 7 | Dhankuta | 120 |
2.4%
|
| 8 | Terhathum | 0 |
0%
|
| 9 | Sankhuwasabha | 0 |
0%
|
| 10 | Bhojpur | 0 |
0%
|
| 11 | Solukhumbu | 0 |
0%
|
| 12 | Okhaldhunga | 0 |
0%
|
| 13 | Khotang | 120 |
2.4%
|
| 14 | Udayapur | 0 |
0%
|
| 15 | Saptari | 260 |
5.1%
|
| 16 | Siraha | 0 |
0%
|
| 17 | Dhanusa | 280 |
5.5%
|
| 18 | Mahottari | 0 |
0%
|
| 19 | Sarlahi | 0 |
0%
|
| 20 | Sindhuli | 0 |
0%
|
| 21 | Ramechhap | 160 |
3.2%
|
| 22 | Dolakha | 200 |
4%
|
| 23 | Sindhupalchok | 0 |
0%
|
| 24 | Kavrepalanchok | 0 |
0%
|
| 25 | Lalitpur | 0 |
0%
|
| 26 | Bhaktapur | 0 |
0%
|
| 27 | Kathmandu | 500 |
9.9%
|
| 28 | Nuwakot | 0 |
0%
|
| 29 | Rasuwa | 0 |
0%
|
| 30 | Dhading | 160 |
3.2%
|
| 31 | Makwanpur | 0 |
0%
|
| 32 | Rautahat | 280 |
5.5%
|
| 33 | Bara | 0 |
0%
|
| 34 | Parsa | 0 |
0%
|
| 35 | Chitawan | 0 |
0%
|
| 36 | Gorkha | 0 |
0%
|
| 37 | Lamjung | 0 |
0%
|
| 38 | Tanahu | 120 |
2.4%
|
| 39 | Syangja | 0 |
0%
|
| 40 | Kaski | 120 |
2.4%
|
| 41 | Manang | 0 |
0%
|
| 42 | Mustang | 40 |
0.8%
|
| 43 | Myagdi | 0 |
0%
|
| 44 | Parbat | 0 |
0%
|
| 45 | Baglung | 120 |
2.4%
|
| 46 | Gulmi | 0 |
0%
|
| 47 | Palpa | 120 |
2.4%
|
| 48 | Nawalparasi | 0 |
0%
|
| 49 | Rupandehi | 360 |
7.1%
|
| 50 | Kapilbastu | 0 |
0%
|
| 51 | Arghakhanchi | 0 |
0%
|
| 52 | Pyuthan | 180 |
3.6%
|
| 53 | Rolpa | 0 |
0%
|
| 54 | Rukum | 0 |
0%
|
| 55 | Salyan | 180 |
3.6%
|
| 56 | Dang | 320 |
6.3%
|
| 57 | Banke | 0 |
0%
|
| 58 | Bardiya | 0 |
0%
|
| 59 | Surkhet | 0 |
0%
|
| 60 | Dailekh | 0 |
0%
|
| 61 | Jajarkot | 0 |
0%
|
| 62 | Dolpa | 0 |
0%
|
| 63 | Jumla | 80 |
1.6%
|
| 64 | Kalikot | 80 |
1.6%
|
| 65 | Mugu | 0 |
0%
|
| 66 | Humla | 0 |
0%
|
| 67 | Bajura | 180 |
3.6%
|
| 68 | Bajhang | 0 |
0%
|
| 69 | Achham | 240 |
4.7%
|
| 70 | Doti | 0 |
0%
|
| 71 | Kailali | 280 |
5.5%
|
| 72 | Kanchanpur | 0 |
0%
|
| 73 | Dadeldhura | 0 |
0%
|
| 74 | Baitadi | 0 |
0%
|
| 75 | Darchula | 0 |
0%
|
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.