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

Documentation in PDF DDI/XML JSON

Created on

May 28, 2020

Last modified

Sep 17, 2021

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Name of District (district)

Data file: Section_11 (hh wave2)

Overview

Valid: 5291

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	36	0.7%
2	Panchthar	0	0%
3	Ilam	119	2.2%
4	Jhapa	119	2.2%
5	Morang	125	2.4%
6	Sunsari	78	1.5%
7	Dhankuta	56	1.1%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	95	1.8%
11	Solukhumbu	52	1%
12	Okhaldhunga	57	1.1%
13	Khotang	112	2.1%
14	Udayapur	122	2.3%
15	Saptari	87	1.6%
16	Siraha	0	0%
17	Dhanusha	125	2.4%
18	Mahottari	79	1.5%
19	Sarlahi	68	1.3%
20	Sindhuli	100	1.9%
21	Ramechhap	0	0%
22	Dolakha	70	1.3%
23	Sindhupalchok	125	2.4%
24	Kabhrepalanchok	158	3%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	87	1.6%
29	Rasuwa	0	0%
30	Dhading	161	3%
31	Makwanpur	116	2.2%
32	Rautahat	0	0%
33	Bara	43	0.8%
34	Parsa	43	0.8%
35	Chitwan	0	0%
36	Gorkha	90	1.7%
37	Lamjung	101	1.9%
38	Tanahun	137	2.6%
39	Syangja	152	2.9%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	68	1.3%
44	Parbat	0	0%
45	Baglung	147	2.8%
46	Gulmi	220	4.2%
47	Palpa	141	2.7%
48	Nawalparasi	217	4.1%
49	Rupandehi	173	3.3%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	74	1.4%
54	Rukum	123	2.3%
55	Salyan	0	0%
56	Dang	115	2.2%
57	Banke	139	2.6%
58	Bardiya	0	0%
59	Surkhet	156	2.9%
60	Dailekh	140	2.6%
61	Jajarkot	53	1%
62	Dolpa	0	0%
63	Jumla	17	0.3%
64	Kalikot	63	1.2%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	53	1%
68	Bajhang	68	1.3%
69	Achham	115	2.2%
70	Doti	64	1.2%
71	Kailali	238	4.5%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	98	1.9%
75	Darchula	96	1.8%

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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