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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_2

Overview

Valid: 26117
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 214
0.8%
2 Panchthar 0
0%
3 Ilam 535
2%
4 Jhapa 808
3.1%
5 Morang 859
3.3%
6 Sunsari 609
2.3%
7 Dhankuta 318
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 436
1.7%
11 Solukhumbu 240
0.9%
12 Okhaldhunga 229
0.9%
13 Khotang 505
1.9%
14 Udayapur 507
1.9%
15 Saptari 709
2.7%
16 Siraha 0
0%
17 Dhanusha 709
2.7%
18 Mahottari 689
2.6%
19 Sarlahi 855
3.3%
20 Sindhuli 581
2.2%
21 Ramechhap 0
0%
22 Dolakha 281
1.1%
23 Sindhupalchok 540
2.1%
24 Kabhrepalanchok 501
1.9%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 472
1.8%
29 Rasuwa 0
0%
30 Dhading 690
2.6%
31 Makwanpur 591
2.3%
32 Rautahat 0
0%
33 Bara 680
2.6%
34 Parsa 631
2.4%
35 Chitwan 0
0%
36 Gorkha 300
1.1%
37 Lamjung 318
1.2%
38 Tanahun 503
1.9%
39 Syangja 407
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 172
0.7%
44 Parbat 0
0%
45 Baglung 411
1.6%
46 Gulmi 591
2.3%
47 Palpa 345
1.3%
48 Nawalparasi 1091
4.2%
49 Rupandehi 1321
5.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 353
1.4%
54 Rukum 356
1.4%
55 Salyan 0
0%
56 Dang 761
2.9%
57 Banke 705
2.7%
58 Bardiya 0
0%
59 Surkhet 582
2.2%
60 Dailekh 513
2%
61 Jajarkot 375
1.4%
62 Dolpa 0
0%
63 Jumla 144
0.6%
64 Kalikot 313
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 205
0.8%
68 Bajhang 449
1.7%
69 Achham 476
1.8%
70 Doti 364
1.4%
71 Kailali 1131
4.3%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 423
1.6%
75 Darchula 319
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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