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

Page views

290336

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Name of District (district)

Data file: Section_11 (hh wave3)

Overview

Valid: 5343

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	37	0.7%
2	Panchthar	0	0%
3	Ilam	101	1.9%
4	Jhapa	113	2.1%
5	Morang	133	2.5%
6	Sunsari	76	1.4%
7	Dhankuta	65	1.2%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	104	1.9%
11	Solukhumbu	47	0.9%
12	Okhaldhunga	60	1.1%
13	Khotang	133	2.5%
14	Udayapur	127	2.4%
15	Saptari	85	1.6%
16	Siraha	0	0%
17	Dhanusha	125	2.3%
18	Mahottari	96	1.8%
19	Sarlahi	89	1.7%
20	Sindhuli	102	1.9%
21	Ramechhap	0	0%
22	Dolakha	67	1.3%
23	Sindhupalchok	118	2.2%
24	Kabhrepalanchok	157	2.9%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	91	1.7%
29	Rasuwa	0	0%
30	Dhading	168	3.1%
31	Makwanpur	117	2.2%
32	Rautahat	0	0%
33	Bara	52	1%
34	Parsa	49	0.9%
35	Chitwan	0	0%
36	Gorkha	90	1.7%
37	Lamjung	135	2.5%
38	Tanahun	148	2.8%
39	Syangja	192	3.6%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	62	1.2%
44	Parbat	0	0%
45	Baglung	132	2.5%
46	Gulmi	209	3.9%
47	Palpa	138	2.6%
48	Nawalparasi	186	3.5%
49	Rupandehi	156	2.9%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	72	1.3%
54	Rukum	112	2.1%
55	Salyan	0	0%
56	Dang	118	2.2%
57	Banke	126	2.4%
58	Bardiya	0	0%
59	Surkhet	146	2.7%
60	Dailekh	141	2.6%
61	Jajarkot	63	1.2%
62	Dolpa	0	0%
63	Jumla	20	0.4%
64	Kalikot	70	1.3%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	39	0.7%
68	Bajhang	68	1.3%
69	Achham	118	2.2%
70	Doti	81	1.5%
71	Kailali	245	4.6%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	86	1.6%
75	Darchula	78	1.5%

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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