Living Standards Survey 2010-2011, Third Round
Nepal, 2010 - 2011
Get Microdata
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
323494
Downloads
92111
PSU geo-codes: District (v00_dist)
Data file: S00
Overview
Valid:
7180
Invalid:
0
Minimum:
1
Maximum:
75
Type:
Discrete
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
1 - 75
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Taplejung | 36 |
0.5%
|
| 2 | Panchthar | 60 |
0.8%
|
| 3 | Ilam | 84 |
1.2%
|
| 4 | Jhapa | 180 |
2.5%
|
| 5 | Morang | 240 |
3.3%
|
| 6 | Sunsari | 204 |
2.8%
|
| 7 | Dhankuta | 72 |
1%
|
| 8 | Terhathum | 36 |
0.5%
|
| 9 | Sankhuwasabha | 72 |
1%
|
| 10 | Bhojpur | 60 |
0.8%
|
| 11 | Solukhumbu | 48 |
0.7%
|
| 12 | Okhaldhunga | 48 |
0.7%
|
| 13 | Khotang | 72 |
1%
|
| 14 | Udayapur | 72 |
1%
|
| 15 | Saptari | 132 |
1.8%
|
| 16 | Siraha | 132 |
1.8%
|
| 17 | Dhanusa | 132 |
1.8%
|
| 18 | Mahottari | 120 |
1.7%
|
| 19 | Sarlahi | 120 |
1.7%
|
| 20 | Sindhuli | 96 |
1.3%
|
| 21 | Ramechhap | 48 |
0.7%
|
| 22 | Dolakha | 84 |
1.2%
|
| 23 | Sindhupalchok | 96 |
1.3%
|
| 24 | Kavre | 132 |
1.8%
|
| 25 | Lalitpur | 204 |
2.8%
|
| 26 | Bhaktapur | 132 |
1.8%
|
| 27 | Kathmandu | 832 |
11.6%
|
| 28 | Nuwakot | 60 |
0.8%
|
| 29 | Rasuwa | 12 |
0.2%
|
| 30 | Dhading | 96 |
1.3%
|
| 31 | Makwanpur | 132 |
1.8%
|
| 32 | Rautahat | 108 |
1.5%
|
| 33 | Bara | 108 |
1.5%
|
| 34 | Parsa | 120 |
1.7%
|
| 35 | Chitawan | 120 |
1.7%
|
| 36 | Gorkha | 60 |
0.8%
|
| 37 | Lamjung | 60 |
0.8%
|
| 38 | Tanahu | 84 |
1.2%
|
| 39 | Syangja | 120 |
1.7%
|
| 40 | Kaski | 204 |
2.8%
|
| 41 | Manang | 12 |
0.2%
|
| 42 | Mustang | 0 |
0%
|
| 43 | Myagdi | 48 |
0.7%
|
| 44 | Parbat | 24 |
0.3%
|
| 45 | Baglung | 72 |
1%
|
| 46 | Gulmi | 84 |
1.2%
|
| 47 | Palpa | 48 |
0.7%
|
| 48 | Nawalparasi | 168 |
2.3%
|
| 49 | Rupandehi | 216 |
3%
|
| 50 | Kapilbastu | 132 |
1.8%
|
| 51 | Arghakhanchi | 60 |
0.8%
|
| 52 | Pyuthan | 60 |
0.8%
|
| 53 | Rolpa | 72 |
1%
|
| 54 | Rukum | 36 |
0.5%
|
| 55 | Salyan | 60 |
0.8%
|
| 56 | Dang | 120 |
1.7%
|
| 57 | Banke | 144 |
2%
|
| 58 | Bardiya | 96 |
1.3%
|
| 59 | Surkhet | 108 |
1.5%
|
| 60 | Dailekh | 84 |
1.2%
|
| 61 | Jajarkot | 24 |
0.3%
|
| 62 | Dolpa | 0 |
0%
|
| 63 | Jumla | 24 |
0.3%
|
| 64 | Kalikot | 24 |
0.3%
|
| 65 | Mugu | 24 |
0.3%
|
| 66 | Humla | 0 |
0%
|
| 67 | Bajura | 36 |
0.5%
|
| 68 | Bajhang | 36 |
0.5%
|
| 69 | Achham | 60 |
0.8%
|
| 70 | Doti | 72 |
1%
|
| 71 | Kailali | 156 |
2.2%
|
| 72 | Kanchanpur | 96 |
1.3%
|
| 73 | Dadeldhura | 48 |
0.7%
|
| 74 | Baitadi | 72 |
1%
|
| 75 | Darchula | 36 |
0.5%
|
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.