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Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
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Destination-local (s11q02a)

Data file: Section_11 (hh wave3)

Overview

Valid: 2302
Invalid: 3041
Type: Discrete
Decimal: 2
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
11.2a. Where did he/she move?
Categories
Value Category Cases
1 Taplejung 11
0.5%
2 Panchthar 2
0.1%
3 Ilam 19
0.8%
4 Jhapa 29
1.3%
5 Morang 47
2%
6 Sunsari 45
2%
7 Dhankuta 3
0.1%
8 Tehrathum 2
0.1%
9 Sankhuwasabha 4
0.2%
10 Bhojpur 0
0%
11 Solukhumbu 10
0.4%
12 Okhaldhunga 6
0.3%
13 Khotang 18
0.8%
14 Udayapur 19
0.8%
15 Saptari 1
0%
16 Siraha 6
0.3%
17 Dhanusha 27
1.2%
18 Mahottari 1
0%
19 Sarlahi 6
0.3%
20 Sindhuli 6
0.3%
21 Ramechhap 2
0.1%
22 Dolakha 3
0.1%
23 Sindhupalchok 6
0.3%
24 Kabhrepalanchok 33
1.4%
25 Lalitpur 6
0.3%
26 Bhaktapur 26
1.1%
27 Kathmandu 933
40.5%
28 Nuwakot 3
0.1%
29 Rasuwa 1
0%
30 Dhading 28
1.2%
31 Makwanpur 33
1.4%
32 Rautahat 3
0.1%
33 Bara 8
0.3%
34 Parsa 16
0.7%
35 Chitwan 47
2%
36 Gorkha 15
0.7%
37 Lamjung 25
1.1%
38 Tanahun 24
1%
39 Syangja 23
1%
40 Kaski 122
5.3%
41 Manang 1
0%
42 Mustang 5
0.2%
43 Myagdi 17
0.7%
44 Parbat 5
0.2%
45 Baglung 22
1%
46 Gulmi 32
1.4%
47 Palpa 21
0.9%
48 Nawalparasi 35
1.5%
49 Rupandehi 128
5.6%
50 Kapilbastu 8
0.3%
51 Arghakhanchi 0
0%
52 Pyuthan 1
0%
53 Rolpa 7
0.3%
54 Rukum 33
1.4%
55 Salyan 6
0.3%
56 Dang 43
1.9%
57 Banke 58
2.5%
58 Bardiya 15
0.7%
59 Surkhet 70
3%
60 Dailekh 10
0.4%
61 Jajarkot 20
0.9%
62 Dolpa 7
0.3%
63 Jumla 5
0.2%
64 Kalikot 5
0.2%
65 Mugu 0
0%
66 Humla 1
0%
67 Bajura 5
0.2%
68 Bajhang 2
0.1%
69 Achham 3
0.1%
70 Doti 10
0.4%
71 Kailali 53
2.3%
72 Kanchanpur 47
2%
73 Dadeldhura 2
0.1%
74 Baitadi 2
0.1%
75 Darchula 4
0.2%
Sysmiss 3041
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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