Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018

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Reference ID

NPL_2016-2018_HRVS_v02_M

DOI

https://doi.org/10.48529/mqys-cp36

Producer(s)

The World Bank

Metadata

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Created on

May 28, 2020

Last modified

Sep 17, 2021

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Name of District (district)

Data file: Section_9f (hh wave1)

Overview

Valid: 3944

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	17	0.4%
2	Panchthar	0	0%
3	Ilam	47	1.2%
4	Jhapa	221	5.6%
5	Morang	39	1%
6	Sunsari	43	1.1%
7	Dhankuta	128	3.2%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	156	4%
11	Solukhumbu	34	0.9%
12	Okhaldhunga	24	0.6%
13	Khotang	126	3.2%
14	Udayapur	122	3.1%
15	Saptari	42	1.1%
16	Siraha	0	0%
17	Dhanusha	67	1.7%
18	Mahottari	43	1.1%
19	Sarlahi	64	1.6%
20	Sindhuli	84	2.1%
21	Ramechhap	0	0%
22	Dolakha	46	1.2%
23	Sindhupalchok	60	1.5%
24	Kabhrepalanchok	105	2.7%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	29	0.7%
29	Rasuwa	0	0%
30	Dhading	62	1.6%
31	Makwanpur	117	3%
32	Rautahat	0	0%
33	Bara	35	0.9%
34	Parsa	56	1.4%
35	Chitwan	0	0%
36	Gorkha	27	0.7%
37	Lamjung	21	0.5%
38	Tanahun	34	0.9%
39	Syangja	37	0.9%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	38	1%
44	Parbat	0	0%
45	Baglung	116	2.9%
46	Gulmi	162	4.1%
47	Palpa	82	2.1%
48	Nawalparasi	59	1.5%
49	Rupandehi	50	1.3%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	65	1.6%
54	Rukum	87	2.2%
55	Salyan	0	0%
56	Dang	195	4.9%
57	Banke	120	3%
58	Bardiya	0	0%
59	Surkhet	120	3%
60	Dailekh	77	2%
61	Jajarkot	94	2.4%
62	Dolpa	0	0%
63	Jumla	18	0.5%
64	Kalikot	43	1.1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	36	0.9%
68	Bajhang	65	1.6%
69	Achham	71	1.8%
70	Doti	64	1.6%
71	Kailali	370	9.4%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	61	1.5%
75	Darchula	65	1.6%

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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