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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Other district code (oth_dist)
Data file: House_Other_Place
Overview
Valid:
44112
Invalid:
0
Minimum:
1
Maximum:
75
Type:
Discrete
Decimal:
0
Width:
2
Range:
1 - 75
Format:
Numeric
Questions and instructions
Literal question
What is the name of other district?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 1 |
0%
|
| 2 | Panchthar | 8 |
0%
|
| 3 | Ilam | 2 |
0%
|
| 4 | Jhapa | 30 |
0.1%
|
| 5 | Morang | 167 |
0.4%
|
| 6 | Sunsari | 216 |
0.5%
|
| 7 | Dhankuta | 78 |
0.2%
|
| 8 | Terhathum | 0 |
0%
|
| 9 | Sankhuwasabha | 209 |
0.5%
|
| 10 | Bhojpur | 78 |
0.2%
|
| 11 | Solukhumbu | 142 |
0.3%
|
| 12 | Okhaldhunga | 834 |
1.9%
|
| 13 | Khotang | 46 |
0.1%
|
| 14 | Udayapur | 79 |
0.2%
|
| 15 | Saptari | 13 |
0%
|
| 16 | Siraha | 22 |
0%
|
| 17 | Dhanusa | 52 |
0.1%
|
| 18 | Mahottari | 63 |
0.1%
|
| 19 | Sarlahi | 113 |
0.3%
|
| 20 | Sindhuli | 2338 |
5.3%
|
| 21 | Ramechhap | 1284 |
2.9%
|
| 22 | Dolakha | 2059 |
4.7%
|
| 23 | Sindhupalchok | 2038 |
4.6%
|
| 24 | Kavrepalanchok | 4186 |
9.5%
|
| 25 | Lalitpur | 2035 |
4.6%
|
| 26 | Bhaktapur | 2229 |
5.1%
|
| 27 | Kathmandu | 8713 |
19.8%
|
| 28 | Nuwakot | 2249 |
5.1%
|
| 29 | Rasuwa | 531 |
1.2%
|
| 30 | Dhading | 3128 |
7.1%
|
| 31 | Makwanpur | 4062 |
9.2%
|
| 32 | Rautahat | 102 |
0.2%
|
| 33 | Bara | 219 |
0.5%
|
| 34 | Parsa | 70 |
0.2%
|
| 35 | Chitawan | 1241 |
2.8%
|
| 36 | Gorkha | 2991 |
6.8%
|
| 37 | Lamjung | 300 |
0.7%
|
| 38 | Tanahu | 508 |
1.2%
|
| 39 | Syangja | 145 |
0.3%
|
| 40 | Kaski | 662 |
1.5%
|
| 41 | Manang | 1 |
0%
|
| 42 | Mustang | 1 |
0%
|
| 43 | Myagdi | 30 |
0.1%
|
| 44 | Parbat | 92 |
0.2%
|
| 45 | Baglung | 42 |
0.1%
|
| 46 | Gulmi | 91 |
0.2%
|
| 47 | Palpa | 196 |
0.4%
|
| 48 | Nawalparasi | 98 |
0.2%
|
| 49 | Rupandehi | 256 |
0.6%
|
| 50 | Kapilbastu | 9 |
0%
|
| 51 | Arghakhanchi | 13 |
0%
|
| 52 | Pyuthan | 0 |
0%
|
| 53 | Rolpa | 0 |
0%
|
| 54 | Rukum | 2 |
0%
|
| 55 | Salyan | 0 |
0%
|
| 56 | Dang | 7 |
0%
|
| 57 | Banke | 10 |
0%
|
| 58 | Bardiya | 9 |
0%
|
| 59 | Surkhet | 0 |
0%
|
| 60 | Dailekh | 1 |
0%
|
| 61 | Jajarkot | 0 |
0%
|
| 62 | Dolpa | 0 |
0%
|
| 63 | Jumla | 0 |
0%
|
| 64 | Kalikot | 0 |
0%
|
| 65 | Mugu | 0 |
0%
|
| 66 | Humla | 0 |
0%
|
| 67 | Bajura | 1 |
0%
|
| 68 | Bajhang | 0 |
0%
|
| 69 | Achham | 0 |
0%
|
| 70 | Doti | 0 |
0%
|
| 71 | Kailali | 5 |
0%
|
| 72 | Kanchanpur | 2 |
0%
|
| 73 | Dadeldhura | 0 |
0%
|
| 74 | Baitadi | 1 |
0%
|
| 75 | Darchula | 2 |
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.