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
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{1.05} birth place: district/foreign (v01_05a)
Data file: S01
Overview
Valid:
34815
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
45
End:
46
Width:
2
Range:
1 - 96
Format:
Numeric
Questions and instructions
Literal question
Where was ..[NAME].. born?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | taplejung | 322 |
0.9%
|
| 2 | panchthar | 385 |
1.1%
|
| 3 | ilam | 420 |
1.2%
|
| 4 | jhapa | 608 |
1.7%
|
| 5 | morang | 897 |
2.6%
|
| 6 | sunsari | 655 |
1.9%
|
| 7 | dhankuta | 349 |
1%
|
| 8 | terhathum | 263 |
0.8%
|
| 9 | sankhuwasabha | 355 |
1%
|
| 10 | bhojpur | 438 |
1.3%
|
| 11 | solukhumbu | 260 |
0.7%
|
| 12 | okhaldhunga | 284 |
0.8%
|
| 13 | khotang | 538 |
1.5%
|
| 14 | udayapur | 331 |
1%
|
| 15 | saptari | 716 |
2.1%
|
| 16 | siraha | 762 |
2.2%
|
| 17 | dhanusa | 677 |
1.9%
|
| 18 | mahottari | 665 |
1.9%
|
| 19 | sarlahi | 589 |
1.7%
|
| 20 | sindhuli | 518 |
1.5%
|
| 21 | ramechhap | 385 |
1.1%
|
| 22 | dolakha | 430 |
1.2%
|
| 23 | sindhupalchok | 505 |
1.5%
|
| 24 | kavre | 755 |
2.2%
|
| 25 | lalitpur | 765 |
2.2%
|
| 26 | bhaktapur | 531 |
1.5%
|
| 27 | kathmandu | 1964 |
5.6%
|
| 28 | nuwakot | 392 |
1.1%
|
| 29 | rasuwa | 68 |
0.2%
|
| 30 | dhading | 573 |
1.6%
|
| 31 | makwanpur | 632 |
1.8%
|
| 32 | rautahat | 564 |
1.6%
|
| 33 | bara | 738 |
2.1%
|
| 34 | parsa | 682 |
2%
|
| 35 | chitawan | 382 |
1.1%
|
| 36 | gorkha | 369 |
1.1%
|
| 37 | lamjung | 277 |
0.8%
|
| 38 | tanahu | 392 |
1.1%
|
| 39 | syangja | 603 |
1.7%
|
| 40 | kaski | 668 |
1.9%
|
| 41 | manang | 40 |
0.1%
|
| 42 | mustang | 8 |
0%
|
| 43 | myagdi | 238 |
0.7%
|
| 44 | parbat | 230 |
0.7%
|
| 45 | baglung | 400 |
1.1%
|
| 46 | gulmi | 448 |
1.3%
|
| 47 | palpa | 317 |
0.9%
|
| 48 | nawalparasi | 722 |
2.1%
|
| 49 | rupandehi | 825 |
2.4%
|
| 50 | kapilbastu | 813 |
2.3%
|
| 51 | arghakhanchi | 298 |
0.9%
|
| 52 | pyuthan | 362 |
1%
|
| 53 | rolpa | 383 |
1.1%
|
| 54 | rukum | 204 |
0.6%
|
| 55 | salyan | 348 |
1%
|
| 56 | dang | 563 |
1.6%
|
| 57 | banke | 461 |
1.3%
|
| 58 | bardiya | 363 |
1%
|
| 59 | surkhet | 492 |
1.4%
|
| 60 | dailekh | 530 |
1.5%
|
| 61 | jajarkot | 168 |
0.5%
|
| 62 | dolpa | 11 |
0%
|
| 63 | jumla | 159 |
0.5%
|
| 64 | kalikot | 192 |
0.6%
|
| 65 | mugu | 168 |
0.5%
|
| 66 | humla | 13 |
0%
|
| 67 | bajura | 190 |
0.5%
|
| 68 | bajhang | 202 |
0.6%
|
| 69 | achham | 288 |
0.8%
|
| 70 | doti | 412 |
1.2%
|
| 71 | kailali | 644 |
1.8%
|
| 72 | kanchanpur | 306 |
0.9%
|
| 73 | dadeldhura | 289 |
0.8%
|
| 74 | baitadi | 470 |
1.3%
|
| 75 | darchula | 185 |
0.5%
|
| 81 | india | 1323 |
3.8%
|
| 82 | bhutan | 5 |
0%
|
| 83 | china | 0 |
0%
|
| 84 | bangladesh | 0 |
0%
|
| 85 | hongkong | 11 |
0%
|
| 86 | malayasia | 1 |
0%
|
| 87 | japan | 1 |
0%
|
| 88 | saudi arabia | 0 |
0%
|
| 89 | qatar | 0 |
0%
|
| 90 | united arab emirates | 0 |
0%
|
| 91 | united kingdom | 0 |
0%
|
| 92 | united states of america | 0 |
0%
|
| 93 | south korea | 1 |
0%
|
| 94 | australia | 0 |
0%
|
| 95 | israel | 0 |
0%
|
| 96 | other country | 24 |
0.1%
|
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 districts in Table "A"