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

238856

Downloads

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District where plot is located (s09q04a)

Data file: Section_9a1 (hh wave2)

Overview

Valid: 9725

Invalid: 19

Type: Discrete

Decimal: 2

Width: 15

Range: 1 - 76

Format: Numeric

Questions and instructions

Literal question

9.4a. Where is this plot located - District? (write a code)

Categories

Value	Category	Cases
1	Taplejung	112	1.2%
2	Panchthar	0	0%
3	Ilam	259	2.7%
4	Jhapa	195	2%
5	Morang	124	1.3%
6	Sunsari	97	1%
7	Dhankuta	135	1.4%
8	Tehrathum	0	0%
9	Sankhuwasabha	2	0%
10	Bhojpur	188	1.9%
11	Solukhumbu	98	1%
12	Okhaldhunga	115	1.2%
13	Khotang	204	2.1%
14	Udayapur	215	2.2%
15	Saptari	178	1.8%
16	Siraha	0	0%
17	Dhanusha	192	2%
18	Mahottari	174	1.8%
19	Sarlahi	193	2%
20	Sindhuli	188	1.9%
21	Ramechhap	0	0%
22	Dolakha	148	1.5%
23	Sindhupalchok	479	4.9%
24	Kabhrepalanchok	363	3.7%
25	Lalitpur	1	0%
26	Bhaktapur	3	0%
27	Kathmandu	4	0%
28	Nuwakot	231	2.4%
29	Rasuwa	0	0%
30	Dhading	319	3.3%
31	Makwanpur	238	2.4%
32	Rautahat	0	0%
33	Bara	156	1.6%
34	Parsa	172	1.8%
35	Chitwan	5	0.1%
36	Gorkha	148	1.5%
37	Lamjung	140	1.4%
38	Tanahun	197	2%
39	Syangja	132	1.4%
40	Kaski	1	0%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	104	1.1%
44	Parbat	0	0%
45	Baglung	183	1.9%
46	Gulmi	248	2.6%
47	Palpa	129	1.3%
48	Nawalparasi	298	3.1%
49	Rupandehi	248	2.6%
50	Kapilbastu	1	0%
51	Arghakhanchi	0	0%
52	Pyuthan	0	0%
53	Rolpa	300	3.1%
54	Rukum	373	3.8%
55	Salyan	0	0%
56	Dang	236	2.4%
57	Banke	156	1.6%
58	Bardiya	6	0.1%
59	Surkhet	251	2.6%
60	Dailekh	221	2.3%
61	Jajarkot	291	3%
62	Dolpa	1	0%
63	Jumla	88	0.9%
64	Kalikot	145	1.5%
65	Mugu	1	0%
66	Humla	0	0%
67	Bajura	127	1.3%
68	Bajhang	106	1.1%
69	Achham	182	1.9%
70	Doti	115	1.2%
71	Kailali	274	2.8%
72	Kanchanpur	4	0%
73	Dadeldhura	2	0%
74	Baitadi	118	1.2%
75	Darchula	105	1.1%
76	Other	6	0.1%
Sysmiss		19

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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