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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: 1973
Invalid: 25626
Type: Discrete
Decimal: 2
Start: 153
End: 157
Width: 5
Range: 1 - 76
Format: Numeric

Questions and instructions

Literal question
1.05b. Where was ...born?
Categories
Value Category Cases
1 Taplejung 58
2.9%
2 Panchthar 56
2.8%
3 Ilam 56
2.8%
4 Jhapa 23
1.2%
5 Morang 22
1.1%
6 Sunsari 17
0.9%
7 Dhankuta 13
0.7%
8 Tehrathum 38
1.9%
9 Sankhuwasabha 17
0.9%
10 Bhojpur 38
1.9%
11 Solukhumbu 15
0.8%
12 Okhaldhunga 36
1.8%
13 Khotang 67
3.4%
14 Udayapur 15
0.8%
15 Saptari 5
0.3%
16 Siraha 14
0.7%
17 Dhanusha 17
0.9%
18 Mahottari 23
1.2%
19 Sarlahi 15
0.8%
20 Sindhuli 31
1.6%
21 Ramechhap 18
0.9%
22 Dolakha 5
0.3%
23 Sindhupalchok 30
1.5%
24 Kabhrepalanchok 26
1.3%
25 Lalitpur 6
0.3%
26 Bhaktapur 6
0.3%
27 Kathmandu 25
1.3%
28 Nuwakot 11
0.6%
29 Rasuwa 4
0.2%
30 Dhading 24
1.2%
31 Makwanpur 15
0.8%
32 Rautahat 15
0.8%
33 Bara 18
0.9%
34 Parsa 11
0.6%
35 Chitwan 39
2%
36 Gorkha 7
0.4%
37 Lamjung 17
0.9%
38 Tanahun 20
1%
39 Syangja 62
3.1%
40 Kaski 29
1.5%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 5
0.3%
44 Parbat 31
1.6%
45 Baglung 34
1.7%
46 Gulmi 61
3.1%
47 Palpa 54
2.7%
48 Nawalparasi 20
1%
49 Rupandehi 8
0.4%
50 Kapilbastu 10
0.5%
51 Arghakhanchi 28
1.4%
52 Pyuthan 36
1.8%
53 Rolpa 16
0.8%
54 Rukum 12
0.6%
55 Salyan 56
2.8%
56 Dang 10
0.5%
57 Banke 5
0.3%
58 Bardiya 16
0.8%
59 Surkhet 39
2%
60 Dailekh 72
3.6%
61 Jajarkot 6
0.3%
62 Dolpa 2
0.1%
63 Jumla 7
0.4%
64 Kalikot 13
0.7%
65 Mugu 11
0.6%
66 Humla 0
0%
67 Bajura 12
0.6%
68 Bajhang 17
0.9%
69 Achham 55
2.8%
70 Doti 98
5%
71 Kailali 7
0.4%
72 Kanchanpur 18
0.9%
73 Dadeldhura 17
0.9%
74 Baitadi 15
0.8%
75 Darchula 7
0.4%
76 Born in another country 211
10.7%
Sysmiss 25626
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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