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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: 8844
Invalid: 12
Type: Discrete
Decimal: 2
Start: 70
End: 74
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 104
1.2%
2 Panchthar 0
0%
3 Ilam 248
2.8%
4 Jhapa 176
2%
5 Morang 115
1.3%
6 Sunsari 96
1.1%
7 Dhankuta 127
1.4%
8 Tehrathum 0
0%
9 Sankhuwasabha 2
0%
10 Bhojpur 179
2%
11 Solukhumbu 82
0.9%
12 Okhaldhunga 112
1.3%
13 Khotang 194
2.2%
14 Udayapur 196
2.2%
15 Saptari 171
1.9%
16 Siraha 0
0%
17 Dhanusha 178
2%
18 Mahottari 171
1.9%
19 Sarlahi 185
2.1%
20 Sindhuli 180
2%
21 Ramechhap 0
0%
22 Dolakha 144
1.6%
23 Sindhupalchok 437
4.9%
24 Kabhrepalanchok 325
3.7%
25 Lalitpur 0
0%
26 Bhaktapur 3
0%
27 Kathmandu 3
0%
28 Nuwakot 213
2.4%
29 Rasuwa 0
0%
30 Dhading 294
3.3%
31 Makwanpur 223
2.5%
32 Rautahat 0
0%
33 Bara 153
1.7%
34 Parsa 170
1.9%
35 Chitwan 2
0%
36 Gorkha 115
1.3%
37 Lamjung 98
1.1%
38 Tanahun 143
1.6%
39 Syangja 109
1.2%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 85
1%
44 Parbat 0
0%
45 Baglung 153
1.7%
46 Gulmi 201
2.3%
47 Palpa 122
1.4%
48 Nawalparasi 283
3.2%
49 Rupandehi 235
2.7%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 258
2.9%
54 Rukum 331
3.7%
55 Salyan 0
0%
56 Dang 200
2.3%
57 Banke 140
1.6%
58 Bardiya 5
0.1%
59 Surkhet 223
2.5%
60 Dailekh 210
2.4%
61 Jajarkot 280
3.2%
62 Dolpa 1
0%
63 Jumla 87
1%
64 Kalikot 134
1.5%
65 Mugu 1
0%
66 Humla 0
0%
67 Bajura 115
1.3%
68 Bajhang 100
1.1%
69 Achham 161
1.8%
70 Doti 104
1.2%
71 Kailali 258
2.9%
72 Kanchanpur 1
0%
73 Dadeldhura 2
0%
74 Baitadi 106
1.2%
75 Darchula 95
1.1%
76 Other 5
0.1%
Sysmiss 12
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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