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_6a (hh wave1)

Overview

Valid: 46863

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	302	0.6%
2	Panchthar	0	0%
3	Ilam	1026	2.2%
4	Jhapa	1651	3.5%
5	Morang	2090	4.5%
6	Sunsari	1351	2.9%
7	Dhankuta	579	1.2%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	641	1.4%
11	Solukhumbu	449	1%
12	Okhaldhunga	446	1%
13	Khotang	711	1.5%
14	Udayapur	920	2%
15	Saptari	1246	2.7%
16	Siraha	0	0%
17	Dhanusha	1463	3.1%
18	Mahottari	1122	2.4%
19	Sarlahi	1611	3.4%
20	Sindhuli	906	1.9%
21	Ramechhap	0	0%
22	Dolakha	581	1.2%
23	Sindhupalchok	1126	2.4%
24	Kabhrepalanchok	1240	2.6%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	885	1.9%
29	Rasuwa	0	0%
30	Dhading	1168	2.5%
31	Makwanpur	1134	2.4%
32	Rautahat	0	0%
33	Bara	1086	2.3%
34	Parsa	799	1.7%
35	Chitwan	0	0%
36	Gorkha	514	1.1%
37	Lamjung	529	1.1%
38	Tanahun	789	1.7%
39	Syangja	612	1.3%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	391	0.8%
44	Parbat	0	0%
45	Baglung	803	1.7%
46	Gulmi	1192	2.5%
47	Palpa	856	1.8%
48	Nawalparasi	2141	4.6%
49	Rupandehi	2311	4.9%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	720	1.5%
54	Rukum	890	1.9%
55	Salyan	0	0%
56	Dang	1379	2.9%
57	Banke	1453	3.1%
58	Bardiya	0	0%
59	Surkhet	1036	2.2%
60	Dailekh	784	1.7%
61	Jajarkot	585	1.2%
62	Dolpa	0	0%
63	Jumla	206	0.4%
64	Kalikot	404	0.9%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	332	0.7%
68	Bajhang	392	0.8%
69	Achham	585	1.2%
70	Doti	451	1%
71	Kailali	2110	4.5%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	481	1%
75	Darchula	384	0.8%

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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