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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
Collections
Agricultural Surveys
Metadata
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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Place of residence (s08q04)

Data file: Section_8

Overview

Valid: 478
Invalid: 2788
Type: Discrete
Decimal: 2
Start: 99
End: 103
Width: 5
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 1
0.2%
2 Panchthar 1
0.2%
3 Ilam 2
0.4%
4 Jhapa 2
0.4%
5 Morang 4
0.8%
6 Sunsari 7
1.5%
7 Dhankuta 4
0.8%
8 Tehrathum 0
0%
9 Sankhuwasabha 1
0.2%
10 Bhojpur 1
0.2%
11 Solukhumbu 6
1.3%
12 Okhaldhunga 1
0.2%
13 Khotang 4
0.8%
14 Udayapur 3
0.6%
15 Saptari 2
0.4%
16 Siraha 1
0.2%
17 Dhanusha 2
0.4%
18 Mahottari 0
0%
19 Sarlahi 0
0%
20 Sindhuli 4
0.8%
21 Ramechhap 0
0%
22 Dolakha 4
0.8%
23 Sindhupalchok 2
0.4%
24 Kabhrepalanchok 2
0.4%
25 Lalitpur 3
0.6%
26 Bhaktapur 3
0.6%
27 Kathmandu 87
18.2%
28 Nuwakot 1
0.2%
29 Rasuwa 3
0.6%
30 Dhading 2
0.4%
31 Makwanpur 2
0.4%
32 Rautahat 1
0.2%
33 Bara 2
0.4%
34 Parsa 9
1.9%
35 Chitwan 13
2.7%
36 Gorkha 0
0%
37 Lamjung 4
0.8%
38 Tanahun 1
0.2%
39 Syangja 1
0.2%
40 Kaski 12
2.5%
41 Manang 3
0.6%
42 Mustang 1
0.2%
43 Myagdi 0
0%
44 Parbat 0
0%
45 Baglung 1
0.2%
46 Gulmi 6
1.3%
47 Palpa 4
0.8%
48 Nawalparasi 2
0.4%
49 Rupandehi 11
2.3%
50 Kapilbastu 1
0.2%
51 Arghakhanchi 1
0.2%
52 Pyuthan 0
0%
53 Rolpa 4
0.8%
54 Rukum 4
0.8%
55 Salyan 1
0.2%
56 Dang 5
1%
57 Banke 0
0%
58 Bardiya 0
0%
59 Surkhet 2
0.4%
60 Dailekh 1
0.2%
61 Jajarkot 1
0.2%
62 Dolpa 1
0.2%
63 Jumla 2
0.4%
64 Kalikot 1
0.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 3
0.6%
68 Bajhang 2
0.4%
69 Achham 0
0%
70 Doti 1
0.2%
71 Kailali 4
0.8%
72 Kanchanpur 3
0.6%
73 Dadeldhura 0
0%
74 Baitadi 1
0.2%
75 Darchula 5
1%
76 Other 0
0%
81 India 205
42.9%
82 Bhutan 0
0%
83 China 0
0%
84 Bangladesh 0
0%
85 Hongkong 0
0%
86 Malayasia 0
0%
87 Japan 0
0%
88 Saudi Arabia 0
0%
89 Qatar 0
0%
90 United Arab Emirates 2
0.4%
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
0.4%
97 Other 0
0%
Sysmiss 2788
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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