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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
Page views
82148
Downloads
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Place of residence (s08q04)

Data file: Section_8 (hh wave2)

Overview

Valid: 319
Invalid: 3226
Type: Discrete
Decimal: 2
Width: 20
Range: 1 - 97
Format: Numeric

Questions and instructions

Question pretext
For those working in agriculture or no-agriculture sectors on wage or salary basis.
Literal question
8.4. Where? (job localtion)
Categories
Value Category Cases
1 Taplejung 6
1.9%
2 Panchthar 1
0.3%
3 Ilam 0
0%
4 Jhapa 0
0%
5 Morang 8
2.5%
6 Sunsari 0
0%
7 Dhankuta 0
0%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 2
0.6%
11 Solukhumbu 2
0.6%
12 Okhaldhunga 1
0.3%
13 Khotang 3
0.9%
14 Udayapur 4
1.3%
15 Saptari 1
0.3%
16 Siraha 1
0.3%
17 Dhanusha 0
0%
18 Mahottari 0
0%
19 Sarlahi 1
0.3%
20 Sindhuli 0
0%
21 Ramechhap 1
0.3%
22 Dolakha 1
0.3%
23 Sindhupalchok 1
0.3%
24 Kabhrepalanchok 2
0.6%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 39
12.2%
28 Nuwakot 1
0.3%
29 Rasuwa 0
0%
30 Dhading 7
2.2%
31 Makwanpur 4
1.3%
32 Rautahat 0
0%
33 Bara 2
0.6%
34 Parsa 3
0.9%
35 Chitwan 5
1.6%
36 Gorkha 2
0.6%
37 Lamjung 0
0%
38 Tanahun 1
0.3%
39 Syangja 2
0.6%
40 Kaski 4
1.3%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 1
0.3%
46 Gulmi 1
0.3%
47 Palpa 1
0.3%
48 Nawalparasi 4
1.3%
49 Rupandehi 1
0.3%
50 Kapilbastu 5
1.6%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 1
0.3%
54 Rukum 2
0.6%
55 Salyan 0
0%
56 Dang 4
1.3%
57 Banke 2
0.6%
58 Bardiya 0
0%
59 Surkhet 0
0%
60 Dailekh 1
0.3%
61 Jajarkot 2
0.6%
62 Dolpa 2
0.6%
63 Jumla 0
0%
64 Kalikot 0
0%
65 Mugu 1
0.3%
66 Humla 0
0%
67 Bajura 0
0%
68 Bajhang 0
0%
69 Achham 1
0.3%
70 Doti 1
0.3%
71 Kailali 1
0.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 0
0%
75 Darchula 1
0.3%
76 Other 0
0%
81 India 145
45.5%
82 Bhutan 1
0.3%
83 China 0
0%
84 Bangladesh 0
0%
85 Hongkong 0
0%
86 Malayasia 10
3.1%
87 Japan 1
0.3%
88 Saudi Arabia 10
3.1%
89 Qatar 12
3.8%
90 United Arab Emirates 1
0.3%
91 United Kingdom 0
0%
92 United States 0
0%
93 South Korea 0
0%
94 Australia 0
0%
95 Israel 0
0%
96 Other 2
0.6%
97 Other 0
0%
Sysmiss 3226
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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