Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F146]
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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_1

Overview

Valid: 1915
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 15
0.8%
2 Panchthar 0
0%
3 Ilam 50
2.6%
4 Jhapa 77
4%
5 Morang 45
2.3%
6 Sunsari 31
1.6%
7 Dhankuta 30
1.6%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 36
1.9%
11 Solukhumbu 23
1.2%
12 Okhaldhunga 21
1.1%
13 Khotang 40
2.1%
14 Udayapur 51
2.7%
15 Saptari 33
1.7%
16 Siraha 0
0%
17 Dhanusha 42
2.2%
18 Mahottari 41
2.1%
19 Sarlahi 51
2.7%
20 Sindhuli 41
2.1%
21 Ramechhap 0
0%
22 Dolakha 27
1.4%
23 Sindhupalchok 56
2.9%
24 Kabhrepalanchok 63
3.3%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 51
2.7%
29 Rasuwa 0
0%
30 Dhading 68
3.6%
31 Makwanpur 48
2.5%
32 Rautahat 0
0%
33 Bara 42
2.2%
34 Parsa 29
1.5%
35 Chitwan 0
0%
36 Gorkha 24
1.3%
37 Lamjung 21
1.1%
38 Tanahun 40
2.1%
39 Syangja 27
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 9
0.5%
44 Parbat 0
0%
45 Baglung 19
1%
46 Gulmi 29
1.5%
47 Palpa 19
1%
48 Nawalparasi 67
3.5%
49 Rupandehi 57
3%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 39
2%
54 Rukum 45
2.3%
55 Salyan 0
0%
56 Dang 63
3.3%
57 Banke 67
3.5%
58 Bardiya 0
0%
59 Surkhet 37
1.9%
60 Dailekh 26
1.4%
61 Jajarkot 29
1.5%
62 Dolpa 0
0%
63 Jumla 7
0.4%
64 Kalikot 17
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 10
0.5%
68 Bajhang 26
1.4%
69 Achham 40
2.1%
70 Doti 28
1.5%
71 Kailali 94
4.9%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 43
2.2%
75 Darchula 21
1.1%
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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