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agricultural-surveys

Living Standards Survey 2003-2004

Nepal, 2003 - 2004
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Reference ID
NPL_2003_LSS-W2_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics (CBS)
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Agricultural Surveys
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Created on
Sep 24, 2020
Last modified
Jan 26, 2023
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V16B_08A 8A District (r2_chldwhed)

Data file: R2_Z16B_ChildrenAway2

Overview

Valid: 350
Invalid: 0
Type: Discrete
Decimal: 0
Start: 51
End: 52
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 taplejung 0
0%
2 panchthar 0
0%
3 ilam 7
2%
4 jhapa 6
1.7%
5 morang 9
2.6%
6 sunsari 7
2%
7 dhankuta 0
0%
8 tehrathum 1
0.3%
9 sankhuwasabha 2
0.6%
10 bhojpur 3
0.9%
11 solukhumbu 1
0.3%
12 okhaldhunga 1
0.3%
13 khotang 0
0%
14 udayapur 0
0%
15 saptari 5
1.4%
16 siraha 5
1.4%
17 dhanusha 5
1.4%
18 mahottari 3
0.9%
19 sarlahi 6
1.7%
20 sindhuli 1
0.3%
21 ramechhap 2
0.6%
22 dolakha 0
0%
23 sindhupalchok 1
0.3%
24 kavre 5
1.4%
25 lalitpur 8
2.3%
26 bhaktapur 2
0.6%
27 kathmandu 62
17.7%
28 nuwakot 6
1.7%
29 rasuwa 0
0%
30 dhading 4
1.1%
31 makwanpur 9
2.6%
32 rautahat 2
0.6%
33 bara 5
1.4%
34 parsa 4
1.1%
35 chitwan 22
6.3%
36 gorkha 8
2.3%
37 lamjung 12
3.4%
38 tanahu 3
0.9%
39 syangja 2
0.6%
40 kaski 14
4%
41 manang 0
0%
42 mustang 0
0%
43 myagdi 1
0.3%
44 parbat 0
0%
45 baglung 1
0.3%
46 gulmi 5
1.4%
47 palpa 1
0.3%
48 nawalparasi 9
2.6%
49 rupandehi 16
4.6%
50 kapilbastu 3
0.9%
51 arghakhanchi 0
0%
52 pyuthan 2
0.6%
53 rolpa 1
0.3%
54 rukum 0
0%
55 salyan 0
0%
56 dang 4
1.1%
57 banke 9
2.6%
58 bardiya 2
0.6%
59 surkhet 8
2.3%
60 dailekha 0
0%
61 jajarkot 0
0%
62 dolpa 0
0%
63 jumla 1
0.3%
64 kalikot 0
0%
65 mugu 0
0%
66 humla 0
0%
67 bajura 0
0%
68 bajhang 0
0%
69 achham 0
0%
70 doti 0
0%
71 kailali 8
2.3%
72 kanchanpur 3
0.9%
73 dadheldhura 0
0%
74 baitadi 0
0%
75 darchula 0
0%
81 india 39
11.1%
82 bhutan 0
0%
83 china 0
0%
84 bangladesh 0
0%
85 hong kong 0
0%
86 malesia 0
0%
87 japan 0
0%
88 saudi arab 0
0%
89 katar 0
0%
90 uae 0
0%
91 united kingdom 0
0%
92 usa 2
0.6%
93 other country 0
0%
99 don't know 2
0.6%
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.
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