Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F196]
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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
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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District name (district)

Data file: Section_3a

Overview

Valid: 2379
Invalid: 0
Type: Discrete
Decimal: 0
Start: 4
End: 5
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 10
0.4%
2 Panchthar 0
0%
3 Ilam 53
2.2%
4 Jhapa 101
4.2%
5 Morang 67
2.8%
6 Sunsari 39
1.6%
7 Dhankuta 28
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 30
1.3%
11 Solukhumbu 22
0.9%
12 Okhaldhunga 22
0.9%
13 Khotang 39
1.6%
14 Udayapur 49
2.1%
15 Saptari 70
2.9%
16 Siraha 0
0%
17 Dhanusha 80
3.4%
18 Mahottari 53
2.2%
19 Sarlahi 64
2.7%
20 Sindhuli 44
1.8%
21 Ramechhap 0
0%
22 Dolakha 23
1%
23 Sindhupalchok 47
2%
24 Kabhrepalanchok 53
2.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 37
1.6%
29 Rasuwa 0
0%
30 Dhading 52
2.2%
31 Makwanpur 55
2.3%
32 Rautahat 0
0%
33 Bara 44
1.8%
34 Parsa 27
1.1%
35 Chitwan 0
0%
36 Gorkha 18
0.8%
37 Lamjung 40
1.7%
38 Tanahun 65
2.7%
39 Syangja 34
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 10
0.4%
44 Parbat 0
0%
45 Baglung 26
1.1%
46 Gulmi 46
1.9%
47 Palpa 23
1%
48 Nawalparasi 90
3.8%
49 Rupandehi 126
5.3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 41
1.7%
54 Rukum 38
1.6%
55 Salyan 0
0%
56 Dang 111
4.7%
57 Banke 96
4%
58 Bardiya 0
0%
59 Surkhet 71
3%
60 Dailekh 51
2.1%
61 Jajarkot 24
1%
62 Dolpa 0
0%
63 Jumla 11
0.5%
64 Kalikot 20
0.8%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 11
0.5%
68 Bajhang 30
1.3%
69 Achham 37
1.6%
70 Doti 30
1.3%
71 Kailali 161
6.8%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 37
1.6%
75 Darchula 23
1%
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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