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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_3

Overview

Valid: 27599
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 227
0.8%
2 Panchthar 0
0%
3 Ilam 569
2.1%
4 Jhapa 840
3%
5 Morang 895
3.2%
6 Sunsari 642
2.3%
7 Dhankuta 335
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 463
1.7%
11 Solukhumbu 250
0.9%
12 Okhaldhunga 242
0.9%
13 Khotang 535
1.9%
14 Udayapur 536
1.9%
15 Saptari 741
2.7%
16 Siraha 0
0%
17 Dhanusha 745
2.7%
18 Mahottari 735
2.7%
19 Sarlahi 912
3.3%
20 Sindhuli 620
2.2%
21 Ramechhap 0
0%
22 Dolakha 294
1.1%
23 Sindhupalchok 562
2%
24 Kabhrepalanchok 525
1.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 494
1.8%
29 Rasuwa 0
0%
30 Dhading 729
2.6%
31 Makwanpur 634
2.3%
32 Rautahat 0
0%
33 Bara 722
2.6%
34 Parsa 669
2.4%
35 Chitwan 0
0%
36 Gorkha 308
1.1%
37 Lamjung 329
1.2%
38 Tanahun 537
1.9%
39 Syangja 431
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 183
0.7%
44 Parbat 0
0%
45 Baglung 433
1.6%
46 Gulmi 626
2.3%
47 Palpa 368
1.3%
48 Nawalparasi 1136
4.1%
49 Rupandehi 1364
4.9%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 386
1.4%
54 Rukum 394
1.4%
55 Salyan 0
0%
56 Dang 797
2.9%
57 Banke 737
2.7%
58 Bardiya 0
0%
59 Surkhet 630
2.3%
60 Dailekh 561
2%
61 Jajarkot 407
1.5%
62 Dolpa 0
0%
63 Jumla 152
0.6%
64 Kalikot 333
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 222
0.8%
68 Bajhang 484
1.8%
69 Achham 508
1.8%
70 Doti 390
1.4%
71 Kailali 1185
4.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 451
1.6%
75 Darchula 331
1.2%
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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