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

165162

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Name of District (district)

Data file: Section_5a (hh wave1)

Overview

Valid: 84620

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	498	0.6%
2	Panchthar	0	0%
3	Ilam	1682	2%
4	Jhapa	2602	3.1%
5	Morang	3423	4%
6	Sunsari	2354	2.8%
7	Dhankuta	1099	1.3%
8	Tehrathum	0	0%
9	Sankhuwasabha	0	0%
10	Bhojpur	1394	1.6%
11	Solukhumbu	830	1%
12	Okhaldhunga	865	1%
13	Khotang	1564	1.8%
14	Udayapur	1793	2.1%
15	Saptari	2171	2.6%
16	Siraha	0	0%
17	Dhanusha	2348	2.8%
18	Mahottari	1827	2.2%
19	Sarlahi	2382	2.8%
20	Sindhuli	1834	2.2%
21	Ramechhap	0	0%
22	Dolakha	1096	1.3%
23	Sindhupalchok	2377	2.8%
24	Kabhrepalanchok	2415	2.9%
25	Lalitpur	0	0%
26	Bhaktapur	0	0%
27	Kathmandu	0	0%
28	Nuwakot	1571	1.9%
29	Rasuwa	0	0%
30	Dhading	2372	2.8%
31	Makwanpur	2098	2.5%
32	Rautahat	0	0%
33	Bara	1958	2.3%
34	Parsa	1406	1.7%
35	Chitwan	0	0%
36	Gorkha	812	1%
37	Lamjung	866	1%
38	Tanahun	1243	1.5%
39	Syangja	1069	1.3%
40	Kaski	0	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	815	1%
44	Parbat	0	0%
45	Baglung	1662	2%
46	Gulmi	2436	2.9%
47	Palpa	1743	2.1%
48	Nawalparasi	3699	4.4%
49	Rupandehi	4004	4.7%
50	Kapilbastu	0	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	1413	1.7%
54	Rukum	1754	2.1%
55	Salyan	0	0%
56	Dang	2352	2.8%
57	Banke	2146	2.5%
58	Bardiya	0	0%
59	Surkhet	2101	2.5%
60	Dailekh	1327	1.6%
61	Jajarkot	1111	1.3%
62	Dolpa	0	0%
63	Jumla	388	0.5%
64	Kalikot	731	0.9%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	618	0.7%
68	Bajhang	794	0.9%
69	Achham	1071	1.3%
70	Doti	755	0.9%
71	Kailali	3840	4.5%
72	Kanchanpur	0	0%
73	Dadeldhura	0	0%
74	Baitadi	1115	1.3%
75	Darchula	796	0.9%

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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