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Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
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Name of District (district)

Data file: Section_2 (hh wave2)

Overview

Valid: 24884
Invalid: 0
Type: Discrete
Decimal: 0
Width: 15
Range: 1 - 75
Format: Numeric

Questions and instructions

Literal question
Name of District
Categories
Value Category Cases
1 Taplejung 209
0.8%
2 Panchthar 0
0%
3 Ilam 517
2.1%
4 Jhapa 787
3.2%
5 Morang 830
3.3%
6 Sunsari 583
2.3%
7 Dhankuta 302
1.2%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 396
1.6%
11 Solukhumbu 221
0.9%
12 Okhaldhunga 217
0.9%
13 Khotang 440
1.8%
14 Udayapur 486
2%
15 Saptari 681
2.7%
16 Siraha 0
0%
17 Dhanusha 660
2.7%
18 Mahottari 679
2.7%
19 Sarlahi 848
3.4%
20 Sindhuli 559
2.2%
21 Ramechhap 0
0%
22 Dolakha 256
1%
23 Sindhupalchok 522
2.1%
24 Kabhrepalanchok 516
2.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 443
1.8%
29 Rasuwa 0
0%
30 Dhading 678
2.7%
31 Makwanpur 597
2.4%
32 Rautahat 0
0%
33 Bara 699
2.8%
34 Parsa 625
2.5%
35 Chitwan 0
0%
36 Gorkha 244
1%
37 Lamjung 269
1.1%
38 Tanahun 438
1.8%
39 Syangja 369
1.5%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 151
0.6%
44 Parbat 0
0%
45 Baglung 346
1.4%
46 Gulmi 504
2%
47 Palpa 326
1.3%
48 Nawalparasi 1046
4.2%
49 Rupandehi 1285
5.2%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 373
1.5%
54 Rukum 382
1.5%
55 Salyan 0
0%
56 Dang 742
3%
57 Banke 671
2.7%
58 Bardiya 0
0%
59 Surkhet 535
2.1%
60 Dailekh 483
1.9%
61 Jajarkot 381
1.5%
62 Dolpa 0
0%
63 Jumla 133
0.5%
64 Kalikot 307
1.2%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 208
0.8%
68 Bajhang 412
1.7%
69 Achham 449
1.8%
70 Doti 350
1.4%
71 Kailali 1090
4.4%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 382
1.5%
75 Darchula 257
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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