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

166391

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Destination-local (s11q02a)

Data file: Section_11 (hh wave2)

Overview

Valid: 2090

Invalid: 3201

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	13	0.6%
2	Panchthar	3	0.1%
3	Ilam	20	1%
4	Jhapa	28	1.3%
5	Morang	42	2%
6	Sunsari	35	1.7%
7	Dhankuta	11	0.5%
8	Tehrathum	2	0.1%
9	Sankhuwasabha	3	0.1%
10	Bhojpur	1	0%
11	Solukhumbu	8	0.4%
12	Okhaldhunga	6	0.3%
13	Khotang	8	0.4%
14	Udayapur	13	0.6%
15	Saptari	4	0.2%
16	Siraha	5	0.2%
17	Dhanusha	26	1.2%
18	Mahottari	0	0%
19	Sarlahi	4	0.2%
20	Sindhuli	4	0.2%
21	Ramechhap	0	0%
22	Dolakha	2	0.1%
23	Sindhupalchok	9	0.4%
24	Kabhrepalanchok	31	1.5%
25	Lalitpur	8	0.4%
26	Bhaktapur	22	1.1%
27	Kathmandu	853	40.8%
28	Nuwakot	4	0.2%
29	Rasuwa	2	0.1%
30	Dhading	30	1.4%
31	Makwanpur	29	1.4%
32	Rautahat	2	0.1%
33	Bara	5	0.2%
34	Parsa	10	0.5%
35	Chitwan	39	1.9%
36	Gorkha	8	0.4%
37	Lamjung	19	0.9%
38	Tanahun	25	1.2%
39	Syangja	9	0.4%
40	Kaski	122	5.8%
41	Manang	4	0.2%
42	Mustang	5	0.2%
43	Myagdi	13	0.6%
44	Parbat	7	0.3%
45	Baglung	21	1%
46	Gulmi	35	1.7%
47	Palpa	16	0.8%
48	Nawalparasi	33	1.6%
49	Rupandehi	103	4.9%
50	Kapilbastu	7	0.3%
51	Arghakhanchi	2	0.1%
52	Pyuthan	3	0.1%
53	Rolpa	8	0.4%
54	Rukum	30	1.4%
55	Salyan	6	0.3%
56	Dang	32	1.5%
57	Banke	54	2.6%
58	Bardiya	12	0.6%
59	Surkhet	56	2.7%
60	Dailekh	11	0.5%
61	Jajarkot	15	0.7%
62	Dolpa	3	0.1%
63	Jumla	8	0.4%
64	Kalikot	5	0.2%
65	Mugu	0	0%
66	Humla	1	0%
67	Bajura	9	0.4%
68	Bajhang	2	0.1%
69	Achham	3	0.1%
70	Doti	10	0.5%
71	Kailali	52	2.5%
72	Kanchanpur	49	2.3%
73	Dadeldhura	1	0%
74	Baitadi	2	0.1%
75	Darchula	7	0.3%
Sysmiss		3201

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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