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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
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Agricultural Surveys
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Oct 06, 2020
Last modified
Nov 08, 2022
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Name of District (district)

Data file: Section_9d

Overview

Valid: 12334
Invalid: 0
Type: Discrete
Decimal: 0
Start: 6
End: 7
Width: 2
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 140
1.1%
2 Panchthar 0
0%
3 Ilam 305
2.5%
4 Jhapa 343
2.8%
5 Morang 364
3%
6 Sunsari 256
2.1%
7 Dhankuta 212
1.7%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 323
2.6%
11 Solukhumbu 134
1.1%
12 Okhaldhunga 159
1.3%
13 Khotang 330
2.7%
14 Udayapur 336
2.7%
15 Saptari 246
2%
16 Siraha 0
0%
17 Dhanusha 211
1.7%
18 Mahottari 198
1.6%
19 Sarlahi 255
2.1%
20 Sindhuli 323
2.6%
21 Ramechhap 0
0%
22 Dolakha 189
1.5%
23 Sindhupalchok 294
2.4%
24 Kabhrepalanchok 324
2.6%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 252
2%
29 Rasuwa 0
0%
30 Dhading 434
3.5%
31 Makwanpur 358
2.9%
32 Rautahat 0
0%
33 Bara 165
1.3%
34 Parsa 137
1.1%
35 Chitwan 0
0%
36 Gorkha 185
1.5%
37 Lamjung 143
1.2%
38 Tanahun 286
2.3%
39 Syangja 215
1.7%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 100
0.8%
44 Parbat 0
0%
45 Baglung 222
1.8%
46 Gulmi 365
3%
47 Palpa 212
1.7%
48 Nawalparasi 382
3.1%
49 Rupandehi 400
3.2%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 240
1.9%
54 Rukum 282
2.3%
55 Salyan 0
0%
56 Dang 370
3%
57 Banke 311
2.5%
58 Bardiya 0
0%
59 Surkhet 319
2.6%
60 Dailekh 237
1.9%
61 Jajarkot 216
1.8%
62 Dolpa 0
0%
63 Jumla 56
0.5%
64 Kalikot 116
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 98
0.8%
68 Bajhang 163
1.3%
69 Achham 203
1.6%
70 Doti 147
1.2%
71 Kailali 452
3.7%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 198
1.6%
75 Darchula 128
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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