Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F148]
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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: 2454
Invalid: 0
Type: Discrete
Decimal: 0
Start: 1
End: 2
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
District name
Categories
Value Category Cases
1 Taplejung 11
0.4%
2 Panchthar 0
0%
3 Ilam 51
2.1%
4 Jhapa 100
4.1%
5 Morang 141
5.7%
6 Sunsari 109
4.4%
7 Dhankuta 27
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 30
1.2%
11 Solukhumbu 16
0.7%
12 Okhaldhunga 19
0.8%
13 Khotang 39
1.6%
14 Udayapur 49
2%
15 Saptari 115
4.7%
16 Siraha 0
0%
17 Dhanusha 109
4.4%
18 Mahottari 79
3.2%
19 Sarlahi 110
4.5%
20 Sindhuli 37
1.5%
21 Ramechhap 0
0%
22 Dolakha 18
0.7%
23 Sindhupalchok 44
1.8%
24 Kabhrepalanchok 59
2.4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 34
1.4%
29 Rasuwa 0
0%
30 Dhading 53
2.2%
31 Makwanpur 58
2.4%
32 Rautahat 0
0%
33 Bara 82
3.3%
34 Parsa 55
2.2%
35 Chitwan 0
0%
36 Gorkha 24
1%
37 Lamjung 46
1.9%
38 Tanahun 65
2.6%
39 Syangja 31
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 9
0.4%
44 Parbat 0
0%
45 Baglung 27
1.1%
46 Gulmi 46
1.9%
47 Palpa 23
0.9%
48 Nawalparasi 62
2.5%
49 Rupandehi 60
2.4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 39
1.6%
54 Rukum 37
1.5%
55 Salyan 0
0%
56 Dang 90
3.7%
57 Banke 56
2.3%
58 Bardiya 0
0%
59 Surkhet 44
1.8%
60 Dailekh 21
0.9%
61 Jajarkot 22
0.9%
62 Dolpa 0
0%
63 Jumla 8
0.3%
64 Kalikot 13
0.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 11
0.4%
68 Bajhang 29
1.2%
69 Achham 36
1.5%
70 Doti 26
1.1%
71 Kailali 130
5.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 34
1.4%
75 Darchula 20
0.8%
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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