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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 where plot is located (s09q04a)

Data file: Section_9a1

Overview

Valid: 9800
Invalid: 0
Type: Discrete
Decimal: 2
Start: 62
End: 66
Width: 5
Range: 1 - 76
Format: Numeric

Questions and instructions

Literal question
9.4a. Where is this plot located - District? (write a code)
Categories
Value Category Cases
1 Taplejung 110
1.1%
2 Panchthar 0
0%
3 Ilam 265
2.7%
4 Jhapa 190
1.9%
5 Morang 128
1.3%
6 Sunsari 93
0.9%
7 Dhankuta 140
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 186
1.9%
11 Solukhumbu 98
1%
12 Okhaldhunga 115
1.2%
13 Khotang 210
2.1%
14 Udayapur 225
2.3%
15 Saptari 179
1.8%
16 Siraha 0
0%
17 Dhanusha 186
1.9%
18 Mahottari 168
1.7%
19 Sarlahi 198
2%
20 Sindhuli 194
2%
21 Ramechhap 0
0%
22 Dolakha 150
1.5%
23 Sindhupalchok 470
4.8%
24 Kabhrepalanchok 359
3.7%
25 Lalitpur 0
0%
26 Bhaktapur 1
0%
27 Kathmandu 2
0%
28 Nuwakot 240
2.4%
29 Rasuwa 0
0%
30 Dhading 332
3.4%
31 Makwanpur 243
2.5%
32 Rautahat 0
0%
33 Bara 142
1.4%
34 Parsa 179
1.8%
35 Chitwan 4
0%
36 Gorkha 143
1.5%
37 Lamjung 142
1.4%
38 Tanahun 198
2%
39 Syangja 133
1.4%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 119
1.2%
44 Parbat 0
0%
45 Baglung 177
1.8%
46 Gulmi 249
2.5%
47 Palpa 130
1.3%
48 Nawalparasi 302
3.1%
49 Rupandehi 251
2.6%
50 Kapilbastu 1
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 302
3.1%
54 Rukum 372
3.8%
55 Salyan 0
0%
56 Dang 236
2.4%
57 Banke 166
1.7%
58 Bardiya 5
0.1%
59 Surkhet 265
2.7%
60 Dailekh 221
2.3%
61 Jajarkot 305
3.1%
62 Dolpa 0
0%
63 Jumla 91
0.9%
64 Kalikot 147
1.5%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 126
1.3%
68 Bajhang 105
1.1%
69 Achham 186
1.9%
70 Doti 114
1.2%
71 Kailali 281
2.9%
72 Kanchanpur 3
0%
73 Dadeldhura 0
0%
74 Baitadi 122
1.2%
75 Darchula 101
1%
76 Other 0
0%
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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