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agricultural-surveys

Household Risk and Vulnerability Survey 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v01_EN_M_v01_A_OCS
Producer(s)
The World Bank
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Agricultural Surveys
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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District where born Other (s01q05b)

Data file: Section_1

Overview

Valid: 1933
Invalid: 27335
Type: Discrete
Decimal: 2
Start: 74
End: 78
Width: 5
Range: 1 - 76
Format: Numeric

Questions and instructions

Literal question
1.05b. Where was ...born?
Categories
Value Category Cases
1 Taplejung 53
2.7%
2 Panchthar 50
2.6%
3 Ilam 28
1.4%
4 Jhapa 37
1.9%
5 Morang 26
1.3%
6 Sunsari 20
1%
7 Dhankuta 19
1%
8 Tehrathum 32
1.7%
9 Sankhuwasabha 25
1.3%
10 Bhojpur 70
3.6%
11 Solukhumbu 14
0.7%
12 Okhaldhunga 31
1.6%
13 Khotang 76
3.9%
14 Udayapur 17
0.9%
15 Saptari 5
0.3%
16 Siraha 21
1.1%
17 Dhanusha 8
0.4%
18 Mahottari 21
1.1%
19 Sarlahi 14
0.7%
20 Sindhuli 19
1%
21 Ramechhap 15
0.8%
22 Dolakha 6
0.3%
23 Sindhupalchok 27
1.4%
24 Kabhrepalanchok 25
1.3%
25 Lalitpur 8
0.4%
26 Bhaktapur 6
0.3%
27 Kathmandu 14
0.7%
28 Nuwakot 8
0.4%
29 Rasuwa 6
0.3%
30 Dhading 31
1.6%
31 Makwanpur 14
0.7%
32 Rautahat 8
0.4%
33 Bara 11
0.6%
34 Parsa 2
0.1%
35 Chitwan 49
2.5%
36 Gorkha 4
0.2%
37 Lamjung 24
1.2%
38 Tanahun 23
1.2%
39 Syangja 92
4.8%
40 Kaski 27
1.4%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 9
0.5%
44 Parbat 31
1.6%
45 Baglung 50
2.6%
46 Gulmi 86
4.4%
47 Palpa 77
4%
48 Nawalparasi 20
1%
49 Rupandehi 12
0.6%
50 Kapilbastu 24
1.2%
51 Arghakhanchi 26
1.3%
52 Pyuthan 36
1.9%
53 Rolpa 10
0.5%
54 Rukum 12
0.6%
55 Salyan 48
2.5%
56 Dang 16
0.8%
57 Banke 1
0.1%
58 Bardiya 15
0.8%
59 Surkhet 31
1.6%
60 Dailekh 51
2.6%
61 Jajarkot 9
0.5%
62 Dolpa 0
0%
63 Jumla 11
0.6%
64 Kalikot 9
0.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 12
0.6%
68 Bajhang 6
0.3%
69 Achham 29
1.5%
70 Doti 76
3.9%
71 Kailali 5
0.3%
72 Kanchanpur 11
0.6%
73 Dadeldhura 13
0.7%
74 Baitadi 9
0.5%
75 Darchula 2
0.1%
76 Born in another country 200
10.3%
Sysmiss 27335
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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