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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_6b

Overview

Valid: 22257
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 84
0.4%
2 Panchthar 0
0%
3 Ilam 296
1.3%
4 Jhapa 461
2.1%
5 Morang 1249
5.6%
6 Sunsari 859
3.9%
7 Dhankuta 270
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 305
1.4%
11 Solukhumbu 196
0.9%
12 Okhaldhunga 201
0.9%
13 Khotang 327
1.5%
14 Udayapur 390
1.8%
15 Saptari 858
3.9%
16 Siraha 0
0%
17 Dhanusha 612
2.7%
18 Mahottari 314
1.4%
19 Sarlahi 414
1.9%
20 Sindhuli 323
1.5%
21 Ramechhap 0
0%
22 Dolakha 238
1.1%
23 Sindhupalchok 629
2.8%
24 Kabhrepalanchok 674
3%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 569
2.6%
29 Rasuwa 0
0%
30 Dhading 806
3.6%
31 Makwanpur 649
2.9%
32 Rautahat 0
0%
33 Bara 306
1.4%
34 Parsa 278
1.2%
35 Chitwan 0
0%
36 Gorkha 294
1.3%
37 Lamjung 268
1.2%
38 Tanahun 429
1.9%
39 Syangja 294
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 135
0.6%
44 Parbat 0
0%
45 Baglung 322
1.4%
46 Gulmi 429
1.9%
47 Palpa 327
1.5%
48 Nawalparasi 1223
5.5%
49 Rupandehi 1191
5.4%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 229
1%
54 Rukum 264
1.2%
55 Salyan 0
0%
56 Dang 696
3.1%
57 Banke 555
2.5%
58 Bardiya 0
0%
59 Surkhet 463
2.1%
60 Dailekh 356
1.6%
61 Jajarkot 291
1.3%
62 Dolpa 0
0%
63 Jumla 96
0.4%
64 Kalikot 164
0.7%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 214
1%
68 Bajhang 324
1.5%
69 Achham 422
1.9%
70 Doti 347
1.6%
71 Kailali 894
4%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 429
1.9%
75 Darchula 293
1.3%
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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