Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / NPL_2016-2018_HRVS_V01_EN_M_V01_A_OCS / variable [F200]
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: 10517
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 56
0.5%
2 Panchthar 0
0%
3 Ilam 146
1.4%
4 Jhapa 207
2%
5 Morang 501
4.8%
6 Sunsari 399
3.8%
7 Dhankuta 101
1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 109
1%
11 Solukhumbu 116
1.1%
12 Okhaldhunga 107
1%
13 Khotang 117
1.1%
14 Udayapur 170
1.6%
15 Saptari 264
2.5%
16 Siraha 0
0%
17 Dhanusha 284
2.7%
18 Mahottari 328
3.1%
19 Sarlahi 429
4.1%
20 Sindhuli 210
2%
21 Ramechhap 0
0%
22 Dolakha 95
0.9%
23 Sindhupalchok 332
3.2%
24 Kabhrepalanchok 341
3.2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 229
2.2%
29 Rasuwa 0
0%
30 Dhading 393
3.7%
31 Makwanpur 332
3.2%
32 Rautahat 0
0%
33 Bara 282
2.7%
34 Parsa 220
2.1%
35 Chitwan 0
0%
36 Gorkha 103
1%
37 Lamjung 83
0.8%
38 Tanahun 174
1.7%
39 Syangja 143
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 102
1%
44 Parbat 0
0%
45 Baglung 177
1.7%
46 Gulmi 255
2.4%
47 Palpa 172
1.6%
48 Nawalparasi 340
3.2%
49 Rupandehi 486
4.6%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 225
2.1%
54 Rukum 225
2.1%
55 Salyan 0
0%
56 Dang 169
1.6%
57 Banke 154
1.5%
58 Bardiya 0
0%
59 Surkhet 313
3%
60 Dailekh 141
1.3%
61 Jajarkot 178
1.7%
62 Dolpa 0
0%
63 Jumla 23
0.2%
64 Kalikot 105
1%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 82
0.8%
68 Bajhang 161
1.5%
69 Achham 254
2.4%
70 Doti 171
1.6%
71 Kailali 179
1.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 206
2%
75 Darchula 128
1.2%
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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