Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F250]
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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Currently living location (s01q06b)

Data file: Section_1

Overview

Valid: 255
Invalid: 29013
Type: Discrete
Decimal: 2
Start: 103
End: 107
Width: 5
Range: 1 - 97
Format: Numeric

Questions and instructions

Literal question
1.6b. Where is ... currently living?
Categories
Value Category Cases
1 Taplejung 1
0.4%
2 Panchthar 1
0.4%
3 Ilam 1
0.4%
4 Jhapa 0
0%
5 Morang 6
2.4%
6 Sunsari 6
2.4%
7 Dhankuta 2
0.8%
8 Tehrathum 1
0.4%
9 Sankhuwasabha 0
0%
10 Bhojpur 0
0%
11 Solukhumbu 0
0%
12 Okhaldhunga 0
0%
13 Khotang 2
0.8%
14 Udayapur 0
0%
15 Saptari 0
0%
16 Siraha 0
0%
17 Dhanusha 0
0%
18 Mahottari 0
0%
19 Sarlahi 0
0%
20 Sindhuli 0
0%
21 Ramechhap 0
0%
22 Dolakha 1
0.4%
23 Sindhupalchok 0
0%
24 Kabhrepalanchok 3
1.2%
25 Lalitpur 0
0%
26 Bhaktapur 2
0.8%
27 Kathmandu 75
29.4%
28 Nuwakot 0
0%
29 Rasuwa 0
0%
30 Dhading 7
2.7%
31 Makwanpur 1
0.4%
32 Rautahat 0
0%
33 Bara 1
0.4%
34 Parsa 0
0%
35 Chitwan 6
2.4%
36 Gorkha 4
1.6%
37 Lamjung 0
0%
38 Tanahun 2
0.8%
39 Syangja 2
0.8%
40 Kaski 6
2.4%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 1
0.4%
44 Parbat 0
0%
45 Baglung 1
0.4%
46 Gulmi 1
0.4%
47 Palpa 2
0.8%
48 Nawalparasi 0
0%
49 Rupandehi 4
1.6%
50 Kapilbastu 1
0.4%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 0
0%
54 Rukum 1
0.4%
55 Salyan 0
0%
56 Dang 3
1.2%
57 Banke 3
1.2%
58 Bardiya 0
0%
59 Surkhet 7
2.7%
60 Dailekh 1
0.4%
61 Jajarkot 0
0%
62 Dolpa 0
0%
63 Jumla 0
0%
64 Kalikot 0
0%
65 Mugu 1
0.4%
66 Humla 0
0%
67 Bajura 0
0%
68 Bajhang 0
0%
69 Achham 0
0%
70 Doti 0
0%
71 Kailali 1
0.4%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 0
0%
75 Darchula 0
0%
76 Other 0
0%
81 India 39
15.3%
82 Bhutan 0
0%
83 China 0
0%
84 Bangladesh 0
0%
85 Hongkong 0
0%
86 Malayasia 12
4.7%
87 Japan 2
0.8%
88 Saudi Arabia 12
4.7%
89 Qatar 18
7.1%
90 United Arab Emirates 7
2.7%
91 United Kingdom 0
0%
92 United States 2
0.8%
93 South Korea 2
0.8%
94 Australia 0
0%
95 Israel 0
0%
96 Other 4
1.6%
97 Other 0
0%
Sysmiss 29013
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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