Living Standards Survey, Wave 3, 2010-2011
Nepal, 2010 - 2011
Get Microdata
Reference ID
NPL_2010-2011_LSS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics
Collections
Metadata
Created on
Oct 09, 2020
Last modified
Nov 07, 2024
Page views
56933
Downloads
662
{4.03} migrated from - district/country (v04_03a)
Data file: S04
Overview
Valid:
11730
Invalid:
23085
Type:
Discrete
Decimal:
0
Start:
18
End:
19
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Question pretext
FIRST IN-MIGRATION TO THIS PLACE
Literal question
I want to ask you about the first time ..[NAME].. moved to this location. Where did ..[NAME].. move from? DISTRICT / COUNTRY
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | taplejung | 94 |
0.8%
|
| 2 | panchthar | 119 |
1%
|
| 3 | ilam | 137 |
1.2%
|
| 4 | jhapa | 310 |
2.6%
|
| 5 | morang | 265 |
2.3%
|
| 6 | sunsari | 181 |
1.5%
|
| 7 | dhankuta | 124 |
1.1%
|
| 8 | terhathum | 107 |
0.9%
|
| 9 | sankhuwasabha | 124 |
1.1%
|
| 10 | bhojpur | 172 |
1.5%
|
| 11 | solukhumbu | 81 |
0.7%
|
| 12 | okhaldhunga | 121 |
1%
|
| 13 | khotang | 207 |
1.8%
|
| 14 | udayapur | 127 |
1.1%
|
| 15 | saptari | 207 |
1.8%
|
| 16 | siraha | 256 |
2.2%
|
| 17 | dhanusa | 230 |
2%
|
| 18 | mahottari | 183 |
1.6%
|
| 19 | sarlahi | 158 |
1.3%
|
| 20 | sindhuli | 170 |
1.4%
|
| 21 | ramechhap | 192 |
1.6%
|
| 22 | dolakha | 166 |
1.4%
|
| 23 | sindhupalchok | 176 |
1.5%
|
| 24 | kavre | 365 |
3.1%
|
| 25 | lalitpur | 147 |
1.3%
|
| 26 | bhaktapur | 147 |
1.3%
|
| 27 | kathmandu | 421 |
3.6%
|
| 28 | nuwakot | 140 |
1.2%
|
| 29 | rasuwa | 13 |
0.1%
|
| 30 | dhading | 199 |
1.7%
|
| 31 | makwanpur | 161 |
1.4%
|
| 32 | rautahat | 142 |
1.2%
|
| 33 | bara | 198 |
1.7%
|
| 34 | parsa | 184 |
1.6%
|
| 35 | chitawan | 208 |
1.8%
|
| 36 | gorkha | 166 |
1.4%
|
| 37 | lamjung | 123 |
1%
|
| 38 | tanahu | 156 |
1.3%
|
| 39 | syangja | 264 |
2.3%
|
| 40 | kaski | 254 |
2.2%
|
| 41 | manang | 5 |
0%
|
| 42 | mustang | 2 |
0%
|
| 43 | myagdi | 68 |
0.6%
|
| 44 | parbat | 149 |
1.3%
|
| 45 | baglung | 152 |
1.3%
|
| 46 | gulmi | 181 |
1.5%
|
| 47 | palpa | 152 |
1.3%
|
| 48 | nawalparasi | 167 |
1.4%
|
| 49 | rupandehi | 233 |
2%
|
| 50 | kapilbastu | 151 |
1.3%
|
| 51 | arghakhanchi | 93 |
0.8%
|
| 52 | pyuthan | 88 |
0.8%
|
| 53 | rolpa | 58 |
0.5%
|
| 54 | rukum | 36 |
0.3%
|
| 55 | salyan | 71 |
0.6%
|
| 56 | dang | 150 |
1.3%
|
| 57 | banke | 87 |
0.7%
|
| 58 | bardiya | 105 |
0.9%
|
| 59 | surkhet | 154 |
1.3%
|
| 60 | dailekh | 118 |
1%
|
| 61 | jajarkot | 40 |
0.3%
|
| 62 | dolpa | 9 |
0.1%
|
| 63 | jumla | 29 |
0.2%
|
| 64 | kalikot | 30 |
0.3%
|
| 65 | mugu | 8 |
0.1%
|
| 66 | humla | 12 |
0.1%
|
| 67 | bajura | 44 |
0.4%
|
| 68 | bajhang | 57 |
0.5%
|
| 69 | achham | 100 |
0.9%
|
| 70 | doti | 130 |
1.1%
|
| 71 | kailali | 227 |
1.9%
|
| 72 | kanchanpur | 61 |
0.5%
|
| 73 | dadeldhura | 86 |
0.7%
|
| 74 | baitadi | 175 |
1.5%
|
| 75 | darchula | 55 |
0.5%
|
| 81 | india | 1219 |
10.4%
|
| 82 | bhutan | 2 |
0%
|
| 83 | china | 0 |
0%
|
| 84 | bangladesh | 0 |
0%
|
| 85 | hongkong | 7 |
0.1%
|
| 86 | malaysia | 1 |
0%
|
| 87 | japan | 3 |
0%
|
| 88 | saudi arabia | 2 |
0%
|
| 89 | qatar | 1 |
0%
|
| 90 | united arab emirates | 0 |
0%
|
| 91 | united kingdom | 0 |
0%
|
| 92 | united states of america | 1 |
0%
|
| 93 | south korea | 0 |
0%
|
| 94 | australia | 0 |
0%
|
| 95 | israel | 0 |
0%
|
| 96 | other country | 16 |
0.1%
|
| Sysmiss | 23085 |
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.
Question post text
See district codes in Table "A"
Description
Universe
v04_02 = 2