Household Registration for Housing Reconstruction Survey 2016-2017
Nepal, 2016 - 2017
Central Bureau of Statistics
Created on August 18, 2017
Last modified August 18, 2017
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District code residence place of household after earthquake (resposqd)
Data file: Household
Overview
Valid:
46170
Invalid:
990398
Minimum:
1
Maximum:
75
Type:
Discrete
Decimal:
0
Width:
8
Range:
1 - 75
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 3 |
0%
|
| 2 | Panchthar | 3 |
0%
|
| 3 | Ilam | 23 |
0%
|
| 4 | Jhapa | 76 |
0.2%
|
| 5 | Morang | 65 |
0.1%
|
| 6 | Sunsari | 115 |
0.2%
|
| 7 | Dhankuta | 10 |
0%
|
| 8 | Terhathum | 1 |
0%
|
| 9 | Sankhuwasabha | 4 |
0%
|
| 10 | Bhojpur | 2 |
0%
|
| 11 | Solukhumbu | 28 |
0.1%
|
| 12 | Okhaldhunga | 16 |
0%
|
| 13 | Khotang | 9 |
0%
|
| 14 | Udayapur | 63 |
0.1%
|
| 15 | Saptari | 4 |
0%
|
| 16 | Siraha | 17 |
0%
|
| 17 | Dhanusa | 36 |
0.1%
|
| 18 | Mahottari | 37 |
0.1%
|
| 19 | Sarlahi | 93 |
0.2%
|
| 20 | Sindhuli | 104 |
0.2%
|
| 21 | Ramechhap | 121 |
0.3%
|
| 22 | Dolakha | 82 |
0.2%
|
| 23 | Sindhupalchok | 84 |
0.2%
|
| 24 | Kavrepalanchok | 559 |
1.2%
|
| 25 | Lalitpur | 1168 |
2.5%
|
| 26 | Bhaktapur | 2514 |
5.4%
|
| 27 | Kathmandu | 37479 |
81.2%
|
| 28 | Nuwakot | 231 |
0.5%
|
| 29 | Rasuwa | 43 |
0.1%
|
| 30 | Dhading | 117 |
0.3%
|
| 31 | Makwanpur | 189 |
0.4%
|
| 32 | Rautahat | 31 |
0.1%
|
| 33 | Bara | 103 |
0.2%
|
| 34 | Parsa | 59 |
0.1%
|
| 35 | Chitawan | 1326 |
2.9%
|
| 36 | Gorkha | 80 |
0.2%
|
| 37 | Lamjung | 54 |
0.1%
|
| 38 | Tanahu | 130 |
0.3%
|
| 39 | Syangja | 16 |
0%
|
| 40 | Kaski | 722 |
1.6%
|
| 41 | Manang | 11 |
0%
|
| 42 | Mustang | 10 |
0%
|
| 43 | Myagdi | 6 |
0%
|
| 44 | Parbat | 6 |
0%
|
| 45 | Baglung | 16 |
0%
|
| 46 | Gulmi | 3 |
0%
|
| 47 | Palpa | 7 |
0%
|
| 48 | Nawalparasi | 64 |
0.1%
|
| 49 | Rupandehi | 56 |
0.1%
|
| 50 | Kapilbastu | 12 |
0%
|
| 51 | Arghakhanchi | 5 |
0%
|
| 52 | Pyuthan | 1 |
0%
|
| 53 | Rolpa | 5 |
0%
|
| 54 | Rukum | 4 |
0%
|
| 55 | Salyan | 2 |
0%
|
| 56 | Dang | 26 |
0.1%
|
| 57 | Banke | 25 |
0.1%
|
| 58 | Bardiya | 13 |
0%
|
| 59 | Surkhet | 11 |
0%
|
| 60 | Dailekh | 0 |
0%
|
| 61 | Jajarkot | 1 |
0%
|
| 62 | Dolpa | 4 |
0%
|
| 63 | Jumla | 3 |
0%
|
| 64 | Kalikot | 1 |
0%
|
| 65 | Mugu | 0 |
0%
|
| 66 | Humla | 1 |
0%
|
| 67 | Bajura | 5 |
0%
|
| 68 | Bajhang | 4 |
0%
|
| 69 | Achham | 16 |
0%
|
| 70 | Doti | 2 |
0%
|
| 71 | Kailali | 19 |
0%
|
| 72 | Kanchanpur | 9 |
0%
|
| 73 | Dadeldhura | 2 |
0%
|
| 74 | Baitadi | 1 |
0%
|
| 75 | Darchula | 2 |
0%
|
| Sysmiss | 990398 |
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.