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    Home / Central Data Catalog / LSMS / NPL_2010_LSS-III_V01_M / variable [F41]
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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  • FINAL_PREF
  • S01
  • S02
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  • S04
  • S05
  • S06A
  • S06B
  • S06C
  • S06D
  • S07
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  • S09A
  • S09B
  • S09C
  • S09D
  • S10A
  • S10B
  • S11
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  • S13A1
  • S13A2
  • S13B
  • S13C1
  • S13C2
  • S13C3
  • S13D1
  • S13D2
  • S13E1
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  • S13E3
  • S13F
  • S14
  • S15A
  • S15B
  • S15C
  • S15D
  • S16
  • S17A
  • S17B
  • S18A
  • S18B
  • S18C
  • S19
  • S20
  • S21
  • S21x
  • sample
  • sys
  • S00

{17.07} place of living - district/country (v17_07a)

Data file: S17A

Overview

Valid: 2814
Invalid: 0
Type: Discrete
Decimal: 0
Start: 47
End: 48
Width: 2
Range: 1 - 96
Format: Numeric

Questions and instructions

Literal question
Where does the ..[RECIPIENT].. currently live? DISTRICT/ COUNTRY
Categories
Value Category Cases
1 taplejung 10
0.4%
2 panchthar 11
0.4%
3 ilam 11
0.4%
4 jhapa 79
2.8%
5 morang 150
5.3%
6 sunsari 66
2.3%
7 dhankuta 21
0.7%
8 terhathum 27
1%
9 sankhuwasabha 45
1.6%
10 bhojpur 14
0.5%
11 solukhumbu 2
0.1%
12 okhaldhunga 6
0.2%
13 khotang 7
0.2%
14 udayapur 6
0.2%
15 saptari 57
2%
16 siraha 74
2.6%
17 dhanusa 96
3.4%
18 mahottari 120
4.3%
19 sarlahi 103
3.7%
20 sindhuli 15
0.5%
21 ramechhap 12
0.4%
22 dolakha 9
0.3%
23 sindhupalchok 16
0.6%
24 kavre 44
1.6%
25 lalitpur 9
0.3%
26 bhaktapur 9
0.3%
27 kathmandu 173
6.1%
28 nuwakot 5
0.2%
29 rasuwa 0
0%
30 dhading 33
1.2%
31 makwanpur 29
1%
32 rautahat 115
4.1%
33 bara 79
2.8%
34 parsa 56
2%
35 chitawan 55
2%
36 gorkha 11
0.4%
37 lamjung 8
0.3%
38 tanahu 23
0.8%
39 syangja 50
1.8%
40 kaski 51
1.8%
41 manang 0
0%
42 mustang 0
0%
43 myagdi 0
0%
44 parbat 13
0.5%
45 baglung 6
0.2%
46 gulmi 34
1.2%
47 palpa 19
0.7%
48 nawalparasi 74
2.6%
49 rupandehi 124
4.4%
50 kapilbastu 45
1.6%
51 arghakhanchi 19
0.7%
52 pyuthan 19
0.7%
53 rolpa 29
1%
54 rukum 3
0.1%
55 salyan 13
0.5%
56 dang 31
1.1%
57 banke 35
1.2%
58 bardiya 36
1.3%
59 surkhet 17
0.6%
60 dailekh 15
0.5%
61 jajarkot 2
0.1%
62 dolpa 0
0%
63 jumla 3
0.1%
64 kalikot 5
0.2%
65 mugu 6
0.2%
66 humla 7
0.2%
67 bajura 14
0.5%
68 bajhang 12
0.4%
69 achham 18
0.6%
70 doti 3
0.1%
71 kailali 94
3.3%
72 kanchanpur 21
0.7%
73 dadeldhura 4
0.1%
74 baitadi 3
0.1%
75 darchula 3
0.1%
81 india 329
11.7%
82 bhutan 0
0%
83 china 0
0%
84 bangladesh 0
0%
85 hongkong 4
0.1%
86 malaysia 3
0.1%
87 japan 2
0.1%
88 saudi arabia 6
0.2%
89 qatar 6
0.2%
90 united arab emirates 3
0.1%
91 united kingdom 9
0.3%
92 united states of america 10
0.4%
93 south korea 1
0%
94 australia 2
0.1%
95 israel 2
0.1%
96 other country 3
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.

Description

Universe
Households with members who sent money to persons not part of their households [v17_01 = 1]
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