Living Standards Survey 2010-2011, Third Round
Nepal, 2010 - 2011
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Reference ID
NPL_2010_LSS-III_v01_M
Producer(s)
Central Bureau of Statistics
Collection(s)
Metadata
Created on
Apr 30, 2012
Last modified
Nov 21, 2017
Page views
375601
Downloads
96508
{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