Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F152]
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
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Created on
Oct 06, 2020
Last modified
Nov 08, 2022
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District name (district)

Data file: Section_5

Overview

Valid: 9176
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 40
0.4%
2 Panchthar 0
0%
3 Ilam 137
1.5%
4 Jhapa 193
2.1%
5 Morang 170
1.9%
6 Sunsari 140
1.5%
7 Dhankuta 93
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 96
1%
11 Solukhumbu 52
0.6%
12 Okhaldhunga 93
1%
13 Khotang 119
1.3%
14 Udayapur 167
1.8%
15 Saptari 229
2.5%
16 Siraha 0
0%
17 Dhanusha 202
2.2%
18 Mahottari 232
2.5%
19 Sarlahi 330
3.6%
20 Sindhuli 163
1.8%
21 Ramechhap 0
0%
22 Dolakha 101
1.1%
23 Sindhupalchok 343
3.7%
24 Kabhrepalanchok 386
4.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 229
2.5%
29 Rasuwa 0
0%
30 Dhading 210
2.3%
31 Makwanpur 422
4.6%
32 Rautahat 0
0%
33 Bara 249
2.7%
34 Parsa 197
2.1%
35 Chitwan 0
0%
36 Gorkha 132
1.4%
37 Lamjung 158
1.7%
38 Tanahun 226
2.5%
39 Syangja 125
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 90
1%
44 Parbat 0
0%
45 Baglung 133
1.4%
46 Gulmi 173
1.9%
47 Palpa 141
1.5%
48 Nawalparasi 224
2.4%
49 Rupandehi 252
2.7%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 176
1.9%
54 Rukum 251
2.7%
55 Salyan 0
0%
56 Dang 192
2.1%
57 Banke 230
2.5%
58 Bardiya 0
0%
59 Surkhet 283
3.1%
60 Dailekh 224
2.4%
61 Jajarkot 208
2.3%
62 Dolpa 0
0%
63 Jumla 38
0.4%
64 Kalikot 135
1.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 78
0.9%
68 Bajhang 112
1.2%
69 Achham 200
2.2%
70 Doti 107
1.2%
71 Kailali 391
4.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 225
2.5%
75 Darchula 79
0.9%
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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