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    Home / Central Data Catalog / LSMS / NPL_2010_LSS-III_V01_M / variable [F49]
lsms

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)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Apr 30, 2012
Last modified
Nov 21, 2017
Page views
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  • Study Description
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  • anthro
  • FINAL_PREF
  • S01
  • S02
  • S03
  • S04
  • S05
  • S06A
  • S06B
  • S06C
  • S06D
  • S07
  • S08
  • S09A
  • S09B
  • S09C
  • S09D
  • S10A
  • S10B
  • S11
  • S12
  • S13A1
  • S13A2
  • S13B
  • S13C1
  • S13C2
  • S13C3
  • S13D1
  • S13D2
  • S13E1
  • S13E2
  • S13E3
  • S13F
  • S14
  • S15A
  • S15B
  • S15C
  • S15D
  • S16
  • S17A
  • S17B
  • S18A
  • S18B
  • S18C
  • S19
  • S20
  • S21
  • S21x
  • sample
  • sys
  • S00

{21_13} in 2010: a: current residence, district (v21_13a)

Data file: S21x

Overview

Valid: 1179
Invalid: 4946
Type: Discrete
Decimal: 0
Start: 49
End: 50
Width: 2
Range: 1 - 96
Format: Numeric

Questions and instructions

Literal question
Where is this person living now? In what district or country is this person living now?
Categories
Value Category Cases
1 taplejung 13
1.1%
2 panchthar 11
0.9%
3 ilam 1
0.1%
4 jhapa 20
1.7%
5 morang 26
2.2%
6 sunsari 15
1.3%
7 dhankuta 1
0.1%
8 terhathum 2
0.2%
9 sankhuwasabha 0
0%
10 bhojpur 0
0%
11 solukhumbu 10
0.8%
12 okhaldhunga 6
0.5%
13 khotang 6
0.5%
14 udayapur 2
0.2%
15 saptari 6
0.5%
16 siraha 18
1.5%
17 dhanusa 20
1.7%
18 mahottari 12
1%
19 sarlahi 4
0.3%
20 sindhuli 26
2.2%
21 ramechhap 4
0.3%
22 dolakha 2
0.2%
23 sindhupalchok 12
1%
24 kavre 16
1.4%
25 lalitpur 10
0.8%
26 bhaktapur 18
1.5%
27 kathmandu 177
15%
28 nuwakot 0
0%
29 rasuwa 0
0%
30 dhading 6
0.5%
31 makwanpur 20
1.7%
32 rautahat 8
0.7%
33 bara 15
1.3%
34 parsa 16
1.4%
35 chitawan 13
1.1%
36 gorkha 1
0.1%
37 lamjung 8
0.7%
38 tanahu 3
0.3%
39 syangja 17
1.4%
40 kaski 20
1.7%
41 manang 2
0.2%
42 mustang 1
0.1%
43 myagdi 5
0.4%
44 parbat 0
0%
45 baglung 2
0.2%
46 gulmi 7
0.6%
47 palpa 3
0.3%
48 nawalparasi 14
1.2%
49 rupandehi 27
2.3%
50 kapilbastu 8
0.7%
51 arghakhanchi 5
0.4%
52 pyuthan 9
0.8%
53 rolpa 4
0.3%
54 rukum 4
0.3%
55 salyan 11
0.9%
56 dang 4
0.3%
57 banke 37
3.1%
58 bardiya 5
0.4%
59 surkhet 7
0.6%
60 dailekh 7
0.6%
61 jajarkot 0
0%
62 dolpa 0
0%
63 jumla 4
0.3%
64 kalikot 0
0%
65 mugu 8
0.7%
66 humla 0
0%
67 bajura 5
0.4%
68 bajhang 0
0%
69 achham 0
0%
70 doti 3
0.3%
71 kailali 33
2.8%
72 kanchanpur 4
0.3%
73 dadeldhura 4
0.3%
74 baitadi 15
1.3%
75 darchula 6
0.5%
81 india 161
13.7%
82 bhutan 0
0%
83 china 1
0.1%
84 bangladesh 2
0.2%
85 hong knog 3
0.3%
86 malaysia 36
3.1%
87 japan 4
0.3%
88 saudi arabia 32
2.7%
89 qatar 44
3.7%
90 unites arab emirates 15
1.3%
91 united kingdom 14
1.2%
92 united states of america 12
1%
93 south korea 2
0.2%
94 australia 16
1.4%
95 israel 0
0%
96 other country 26
2.2%
98 1
0.1%
99 1
0.1%
Sysmiss 4946
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_12 = 1, 6
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