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_15a (hh wave3)

Overview

Valid: 1493

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	8	0.5%
2	Panchthar	0	0%
3	Ilam	10	0.7%
4	Jhapa	5	0.3%
5	Morang	21	1.4%
6	Sunsari	6	0.4%
7	Dhankuta	35	2.3%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	24	1.6%
11	Solukhumbu	10	0.7%
12	Okhaldhunga	15	1%
13	Khotang	84	5.6%
14	Udayapur	42	2.8%
15	Saptari	13	0.9%
16	Siraha	0	0%
17	Dhanusha	4	0.3%
18	Mahottari	40	2.7%
19	Sarlahi	73	4.9%
20	Sindhuli	23	1.5%
21	Ramechhap	0	0%
22	Dolakha	5	0.3%
23	Sindhupalchok	16	1.1%
24	Kabhrepalanchok	19	1.3%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	14	0.9%
29	Rasuwa	0	0%
30	Dhading	75	5%
31	Makwanpur	12	0.8%
32	Rautahat	0	0%
33	Bara	53	3.5%
34	Parsa	51	3.4%
35	Chitwan	0	0%
36	Gorkha	46	3.1%
37	Lamjung	42	2.8%
38	Tanahun	54	3.6%
39	Syangja	50	3.3%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	16	1.1%
44	Parbat	0	0%
45	Baglung	36	2.4%
46	Gulmi	21	1.4%
47	Palpa	8	0.5%
48	Nawalparasi	39	2.6%
49	Rupandehi	22	1.5%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	19	1.3%
54	Rukum	33	2.2%
55	Salyan	0	0%
56	Dang	24	1.6%
57	Banke	47	3.1%
58	Bardiya	0	0%
59	Surkhet	60	4%
60	Dailekh	40	2.7%
61	Jajarkot	38	2.5%
62	Dolpa	0	0%
63	Jumla	7	0.5%
64	Kalikot	25	1.7%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	8	0.5%
68	Bajhang	13	0.9%
69	Achham	28	1.9%
70	Doti	72	4.8%
71	Kailali	42	2.8%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	26	1.7%
75	Darchula	19	1.3%

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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