Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F177]
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
Collections
Agricultural Surveys
Metadata
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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Destination-local (s11q02a)

Data file: Section_11

Overview

Valid: 1477
Invalid: 2208
Type: Discrete
Decimal: 2
Start: 116
End: 120
Width: 5
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
11.2a. Where did he/she move?
Categories
Value Category Cases
1 Taplejung 9
0.6%
2 Panchthar 4
0.3%
3 Ilam 17
1.2%
4 Jhapa 38
2.6%
5 Morang 28
1.9%
6 Sunsari 31
2.1%
7 Dhankuta 18
1.2%
8 Tehrathum 4
0.3%
9 Sankhuwasabha 5
0.3%
10 Bhojpur 1
0.1%
11 Solukhumbu 6
0.4%
12 Okhaldhunga 6
0.4%
13 Khotang 2
0.1%
14 Udayapur 14
0.9%
15 Saptari 4
0.3%
16 Siraha 4
0.3%
17 Dhanusha 5
0.3%
18 Mahottari 0
0%
19 Sarlahi 4
0.3%
20 Sindhuli 3
0.2%
21 Ramechhap 0
0%
22 Dolakha 2
0.1%
23 Sindhupalchok 12
0.8%
24 Kabhrepalanchok 27
1.8%
25 Lalitpur 7
0.5%
26 Bhaktapur 21
1.4%
27 Kathmandu 596
40.4%
28 Nuwakot 5
0.3%
29 Rasuwa 2
0.1%
30 Dhading 19
1.3%
31 Makwanpur 25
1.7%
32 Rautahat 1
0.1%
33 Bara 7
0.5%
34 Parsa 11
0.7%
35 Chitwan 29
2%
36 Gorkha 2
0.1%
37 Lamjung 5
0.3%
38 Tanahun 5
0.3%
39 Syangja 3
0.2%
40 Kaski 47
3.2%
41 Manang 3
0.2%
42 Mustang 4
0.3%
43 Myagdi 1
0.1%
44 Parbat 7
0.5%
45 Baglung 12
0.8%
46 Gulmi 18
1.2%
47 Palpa 12
0.8%
48 Nawalparasi 23
1.6%
49 Rupandehi 58
3.9%
50 Kapilbastu 8
0.5%
51 Arghakhanchi 2
0.1%
52 Pyuthan 2
0.1%
53 Rolpa 3
0.2%
54 Rukum 27
1.8%
55 Salyan 8
0.5%
56 Dang 22
1.5%
57 Banke 43
2.9%
58 Bardiya 5
0.3%
59 Surkhet 50
3.4%
60 Dailekh 8
0.5%
61 Jajarkot 11
0.7%
62 Dolpa 1
0.1%
63 Jumla 9
0.6%
64 Kalikot 14
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 6
0.4%
68 Bajhang 0
0%
69 Achham 2
0.1%
70 Doti 8
0.5%
71 Kailali 33
2.2%
72 Kanchanpur 37
2.5%
73 Dadeldhura 2
0.1%
74 Baitadi 2
0.1%
75 Darchula 7
0.5%
Sysmiss 2208
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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