Living Standards Survey, Wave 3, 2010-2011
Nepal, 2010 - 2011
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Reference ID
NPL_2010-2011_LSS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics
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Metadata
Created on
Oct 09, 2020
Last modified
Nov 07, 2024
Page views
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{21.04} a: where-when did the Household move, district (v21_04a)
Data file: S21
Overview
Valid:
61
Invalid:
1131
Type:
Discrete
Decimal:
0
Start:
62
End:
63
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Literal question
Where and when did the HH move? DISTRICT CODE
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 0 |
0%
|
| 2 | Panchthar | 1 |
1.6%
|
| 3 | Ilam | 0 |
0%
|
| 4 | Jhapa | 7 |
11.5%
|
| 5 | Morang | 2 |
3.3%
|
| 6 | Sunsari | 2 |
3.3%
|
| 7 | Dhankuta | 0 |
0%
|
| 8 | Terhathum | 0 |
0%
|
| 9 | Sankhuwasabha | 0 |
0%
|
| 10 | Bhojpur | 0 |
0%
|
| 11 | Solukhumbu | 1 |
1.6%
|
| 12 | Okhaldhunga | 0 |
0%
|
| 13 | Khotang | 0 |
0%
|
| 14 | Udayapur | 0 |
0%
|
| 15 | Saptari | 0 |
0%
|
| 16 | Siraha | 0 |
0%
|
| 17 | Dhanusa | 0 |
0%
|
| 18 | Mahottari | 0 |
0%
|
| 19 | Sarlahi | 1 |
1.6%
|
| 20 | Sindhuli | 3 |
4.9%
|
| 21 | Ramechhap | 0 |
0%
|
| 22 | Dolakha | 0 |
0%
|
| 23 | Sindhupalchok | 0 |
0%
|
| 24 | Kavre | 0 |
0%
|
| 25 | Lalitpur | 0 |
0%
|
| 26 | Bhaktapur | 1 |
1.6%
|
| 27 | Kathmandu | 13 |
21.3%
|
| 28 | Nuwakot | 0 |
0%
|
| 29 | Rasuwa | 0 |
0%
|
| 30 | Dhading | 2 |
3.3%
|
| 31 | Makwanpur | 0 |
0%
|
| 32 | Rautahat | 3 |
4.9%
|
| 33 | Bara | 1 |
1.6%
|
| 34 | Parsa | 0 |
0%
|
| 35 | Chitawan | 2 |
3.3%
|
| 36 | Gorkha | 0 |
0%
|
| 37 | Lamjung | 2 |
3.3%
|
| 38 | Tanahu | 1 |
1.6%
|
| 39 | Syangja | 1 |
1.6%
|
| 40 | Kaski | 1 |
1.6%
|
| 41 | Manang | 0 |
0%
|
| 42 | Mustang | 0 |
0%
|
| 43 | Myagdi | 0 |
0%
|
| 44 | Parbat | 0 |
0%
|
| 45 | Baglung | 0 |
0%
|
| 46 | Gulmi | 0 |
0%
|
| 47 | Palpa | 0 |
0%
|
| 48 | Nawalparasi | 0 |
0%
|
| 49 | Rupandehi | 1 |
1.6%
|
| 50 | Kapilbastu | 1 |
1.6%
|
| 51 | Arghakhanchi | 0 |
0%
|
| 52 | Pyuthan | 0 |
0%
|
| 53 | Rolpa | 1 |
1.6%
|
| 54 | Rukum | 0 |
0%
|
| 55 | Salyan | 0 |
0%
|
| 56 | Dang | 0 |
0%
|
| 57 | Banke | 6 |
9.8%
|
| 58 | Bardiya | 2 |
3.3%
|
| 59 | Surkhet | 0 |
0%
|
| 60 | Dailekh | 1 |
1.6%
|
| 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 | 0 |
0%
|
| 68 | Bajhang | 0 |
0%
|
| 69 | Achham | 0 |
0%
|
| 70 | Doti | 0 |
0%
|
| 71 | Kailali | 1 |
1.6%
|
| 72 | Kanchanpur | 0 |
0%
|
| 73 | Dadeldhura | 0 |
0%
|
| 74 | Baitadi | 0 |
0%
|
| 75 | Darchula | 0 |
0%
|
| 81 | India | 4 |
6.6%
|
| 82 | Bhutan | 0 |
0%
|
| 83 | China | 0 |
0%
|
| 84 | Bangladesh | 0 |
0%
|
| 85 | Hong Knog | 0 |
0%
|
| 86 | Malaysia | 0 |
0%
|
| 87 | Japan | 0 |
0%
|
| 88 | Saudi Arabia | 0 |
0%
|
| 89 | Qatar | 0 |
0%
|
| 90 | Unites Arab Emirates | 0 |
0%
|
| 91 | United Kingdom | 0 |
0%
|
| 92 | United States of America | 0 |
0%
|
| 93 | South korea | 0 |
0%
|
| 94 | Australia | 0 |
0%
|
| 95 | Israel | 0 |
0%
|
| 96 | Other country | 0 |
0%
|
| Sysmiss | 1131 |
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.
Description
Universe
v21_03 = 1