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

238159

Downloads

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Destination-local (s11q02a)

Data file: Section_11 (hh wave1)

Overview

Valid: 1477

Invalid: 2208

Type: Discrete

Decimal: 2

Width: 15

Range: 1 - 75

Format: Numeric

Questions and instructions

Literal question

11.2a. Where did he/she move?

Categories

Value	Category	Cases
1	Taplejung	9	0.6%
2	Panchthar	4	0.3%
3	Ilam	17	1.2%
4	Jhapa	38	2.6%
5	Morang	28	1.9%
6	Sunsari	31	2.1%
7	Dhankuta	18	1.2%
8	Tehrathum	4	0.3%
9	Sankhuwasabha	5	0.3%
10	Bhojpur	1	0.1%
11	Solukhumbu	6	0.4%
12	Okhaldhunga	6	0.4%
13	Khotang	2	0.1%
14	Udayapur	14	0.9%
15	Saptari	4	0.3%
16	Siraha	4	0.3%
17	Dhanusha	5	0.3%
18	Mahottari	0	0%
19	Sarlahi	4	0.3%
20	Sindhuli	3	0.2%
21	Ramechhap	0	0%
22	Dolakha	2	0.1%
23	Sindhupalchok	12	0.8%
24	Kabhrepalanchok	27	1.8%
25	Lalitpur	7	0.5%
26	Bhaktapur	21	1.4%
27	Kathmandu	596	40.4%
28	Nuwakot	5	0.3%
29	Rasuwa	2	0.1%
30	Dhading	19	1.3%
31	Makwanpur	25	1.7%
32	Rautahat	1	0.1%
33	Bara	7	0.5%
34	Parsa	11	0.7%
35	Chitwan	29	2%
36	Gorkha	2	0.1%
37	Lamjung	5	0.3%
38	Tanahun	5	0.3%
39	Syangja	3	0.2%
40	Kaski	47	3.2%
41	Manang	3	0.2%
42	Mustang	4	0.3%
43	Myagdi	1	0.1%
44	Parbat	7	0.5%
45	Baglung	12	0.8%
46	Gulmi	18	1.2%
47	Palpa	12	0.8%
48	Nawalparasi	23	1.6%
49	Rupandehi	58	3.9%
50	Kapilbastu	8	0.5%
51	Arghakhanchi	2	0.1%
52	Pyuthan	2	0.1%
53	Rolpa	3	0.2%
54	Rukum	27	1.8%
55	Salyan	8	0.5%
56	Dang	22	1.5%
57	Banke	43	2.9%
58	Bardiya	5	0.3%
59	Surkhet	50	3.4%
60	Dailekh	8	0.5%
61	Jajarkot	11	0.7%
62	Dolpa	1	0.1%
63	Jumla	9	0.6%
64	Kalikot	14	0.9%
65	Mugu	0	0%
66	Humla	0	0%
67	Bajura	6	0.4%
68	Bajhang	0	0%
69	Achham	2	0.1%
70	Doti	8	0.5%
71	Kailali	33	2.2%
72	Kanchanpur	37	2.5%
73	Dadeldhura	2	0.1%
74	Baitadi	2	0.1%
75	Darchula	7	0.5%
Sysmiss		2208

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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