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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_7

Overview

Valid: 15898
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 144
0.9%
2 Panchthar 0
0%
3 Ilam 433
2.7%
4 Jhapa 500
3.1%
5 Morang 513
3.2%
6 Sunsari 424
2.7%
7 Dhankuta 179
1.1%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 230
1.4%
11 Solukhumbu 169
1.1%
12 Okhaldhunga 170
1.1%
13 Khotang 257
1.6%
14 Udayapur 327
2.1%
15 Saptari 364
2.3%
16 Siraha 0
0%
17 Dhanusha 415
2.6%
18 Mahottari 301
1.9%
19 Sarlahi 390
2.5%
20 Sindhuli 422
2.7%
21 Ramechhap 0
0%
22 Dolakha 240
1.5%
23 Sindhupalchok 322
2%
24 Kabhrepalanchok 319
2%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 280
1.8%
29 Rasuwa 0
0%
30 Dhading 416
2.6%
31 Makwanpur 340
2.1%
32 Rautahat 0
0%
33 Bara 351
2.2%
34 Parsa 329
2.1%
35 Chitwan 0
0%
36 Gorkha 201
1.3%
37 Lamjung 176
1.1%
38 Tanahun 334
2.1%
39 Syangja 250
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 123
0.8%
44 Parbat 0
0%
45 Baglung 222
1.4%
46 Gulmi 373
2.3%
47 Palpa 230
1.4%
48 Nawalparasi 578
3.6%
49 Rupandehi 921
5.8%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 237
1.5%
54 Rukum 270
1.7%
55 Salyan 0
0%
56 Dang 572
3.6%
57 Banke 504
3.2%
58 Bardiya 0
0%
59 Surkhet 383
2.4%
60 Dailekh 296
1.9%
61 Jajarkot 195
1.2%
62 Dolpa 0
0%
63 Jumla 76
0.5%
64 Kalikot 192
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 106
0.7%
68 Bajhang 190
1.2%
69 Achham 239
1.5%
70 Doti 181
1.1%
71 Kailali 874
5.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 199
1.3%
75 Darchula 141
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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