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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_14a (hh wave2)

Overview

Valid: 32143
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 213
0.7%
2 Panchthar 0
0%
3 Ilam 849
2.6%
4 Jhapa 1099
3.4%
5 Morang 1223
3.8%
6 Sunsari 742
2.3%
7 Dhankuta 489
1.5%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 582
1.8%
11 Solukhumbu 306
1%
12 Okhaldhunga 293
0.9%
13 Khotang 626
1.9%
14 Udayapur 801
2.5%
15 Saptari 650
2%
16 Siraha 0
0%
17 Dhanusha 1018
3.2%
18 Mahottari 674
2.1%
19 Sarlahi 881
2.7%
20 Sindhuli 543
1.7%
21 Ramechhap 0
0%
22 Dolakha 382
1.2%
23 Sindhupalchok 860
2.7%
24 Kabhrepalanchok 986
3.1%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 490
1.5%
29 Rasuwa 0
0%
30 Dhading 809
2.5%
31 Makwanpur 832
2.6%
32 Rautahat 0
0%
33 Bara 613
1.9%
34 Parsa 504
1.6%
35 Chitwan 0
0%
36 Gorkha 368
1.1%
37 Lamjung 382
1.2%
38 Tanahun 668
2.1%
39 Syangja 500
1.6%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 315
1%
44 Parbat 0
0%
45 Baglung 628
2%
46 Gulmi 1083
3.4%
47 Palpa 729
2.3%
48 Nawalparasi 1309
4.1%
49 Rupandehi 1627
5.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 488
1.5%
54 Rukum 647
2%
55 Salyan 0
0%
56 Dang 797
2.5%
57 Banke 778
2.4%
58 Bardiya 0
0%
59 Surkhet 990
3.1%
60 Dailekh 593
1.8%
61 Jajarkot 419
1.3%
62 Dolpa 0
0%
63 Jumla 160
0.5%
64 Kalikot 296
0.9%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 254
0.8%
68 Bajhang 282
0.9%
69 Achham 357
1.1%
70 Doti 237
0.7%
71 Kailali 1128
3.5%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 340
1.1%
75 Darchula 303
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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