Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018

Get Microdata

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

237293

Downloads

8555

Name of District (district)

Data file: Section_9e (hh wave1)

Overview

Valid: 5654

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	44	0.8%
2	Panchthar	0	0%
3	Ilam	131	2.3%
4	Jhapa	186	3.3%
5	Morang	221	3.9%
6	Sunsari	147	2.6%
7	Dhankuta	74	1.3%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	87	1.5%
11	Solukhumbu	54	1%
12	Okhaldhunga	59	1%
13	Khotang	101	1.8%
14	Udayapur	109	1.9%
15	Saptari	149	2.6%
16	Siraha	0	0%
17	Dhanusha	160	2.8%
18	Mahottari	131	2.3%
19	Sarlahi	173	3.1%
20	Sindhuli	115	2%
21	Ramechhap	0	0%
22	Dolakha	72	1.3%
23	Sindhupalchok	136	2.4%
24	Kabhrepalanchok	133	2.4%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	110	1.9%
29	Rasuwa	0	0%
30	Dhading	170	3%
31	Makwanpur	139	2.5%
32	Rautahat	0	0%
33	Bara	129	2.3%
34	Parsa	105	1.9%
35	Chitwan	0	0%
36	Gorkha	68	1.2%
37	Lamjung	71	1.3%
38	Tanahun	112	2%
39	Syangja	86	1.5%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	38	0.7%
44	Parbat	0	0%
45	Baglung	85	1.5%
46	Gulmi	124	2.2%
47	Palpa	86	1.5%
48	Nawalparasi	241	4.3%
49	Rupandehi	263	4.7%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	77	1.4%
54	Rukum	87	1.5%
55	Salyan	0	0%
56	Dang	169	3%
57	Banke	165	2.9%
58	Bardiya	0	0%
59	Surkhet	125	2.2%
60	Dailekh	101	1.8%
61	Jajarkot	73	1.3%
62	Dolpa	0	0%
63	Jumla	30	0.5%
64	Kalikot	55	1%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	39	0.7%
68	Bajhang	70	1.2%
69	Achham	92	1.6%
70	Doti	68	1.2%
71	Kailali	255	4.5%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	83	1.5%
75	Darchula	56	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.

Back to Catalog