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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_7 (hh wave3)

Overview

Valid: 17444
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 148
0.8%
2 Panchthar 0
0%
3 Ilam 356
2%
4 Jhapa 435
2.5%
5 Morang 620
3.6%
6 Sunsari 555
3.2%
7 Dhankuta 233
1.3%
8 Tehrathum 0
0%
9 Sankhuwasabha 0
0%
10 Bhojpur 258
1.5%
11 Solukhumbu 195
1.1%
12 Okhaldhunga 183
1%
13 Khotang 382
2.2%
14 Udayapur 347
2%
15 Saptari 493
2.8%
16 Siraha 0
0%
17 Dhanusha 391
2.2%
18 Mahottari 312
1.8%
19 Sarlahi 481
2.8%
20 Sindhuli 417
2.4%
21 Ramechhap 0
0%
22 Dolakha 238
1.4%
23 Sindhupalchok 406
2.3%
24 Kabhrepalanchok 425
2.4%
25 Lalitpur 0
0%
26 Bhaktapur 0
0%
27 Kathmandu 0
0%
28 Nuwakot 335
1.9%
29 Rasuwa 0
0%
30 Dhading 437
2.5%
31 Makwanpur 453
2.6%
32 Rautahat 0
0%
33 Bara 372
2.1%
34 Parsa 326
1.9%
35 Chitwan 0
0%
36 Gorkha 178
1%
37 Lamjung 153
0.9%
38 Tanahun 271
1.6%
39 Syangja 221
1.3%
40 Kaski 0
0%
41 Manang 0
0%
42 Mustang 0
0%
43 Myagdi 123
0.7%
44 Parbat 0
0%
45 Baglung 229
1.3%
46 Gulmi 367
2.1%
47 Palpa 232
1.3%
48 Nawalparasi 747
4.3%
49 Rupandehi 884
5.1%
50 Kapilbastu 0
0%
51 Arghakhanchi 0
0%
52 Pyuthan 0
0%
53 Rolpa 270
1.5%
54 Rukum 307
1.8%
55 Salyan 0
0%
56 Dang 654
3.7%
57 Banke 560
3.2%
58 Bardiya 0
0%
59 Surkhet 457
2.6%
60 Dailekh 308
1.8%
61 Jajarkot 248
1.4%
62 Dolpa 0
0%
63 Jumla 97
0.6%
64 Kalikot 233
1.3%
65 Mugu 0
0%
66 Humla 0
0%
67 Bajura 122
0.7%
68 Bajhang 224
1.3%
69 Achham 265
1.5%
70 Doti 199
1.1%
71 Kailali 863
4.9%
72 Kanchanpur 0
0%
73 Dadeldhura 0
0%
74 Baitadi 236
1.4%
75 Darchula 198
1.1%
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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