Household Risk and Vulnerability Survey 2016, Wave 1

Nepal, 2016

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Reference ID

NPL_2016_HRVS_v01_M

DOI

https://doi.org/10.48529/7zjn-5p98

Producer(s)

Thomas Walker, Hanan Jacoby

Metadata

Documentation in PDF DDI/XML JSON

Created on

Sep 19, 2017

Last modified

Oct 05, 2017

Page views

148933

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District where born (s01q05b)

Data file: Section_1

Overview

Valid: 2112

Invalid: 26856

Type: Discrete

Decimal: 0

Width: 8

Range: 1 - 97

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Taplejung	61	2.9%
2	Panchthar	59	2.8%
3	Ilam	60	2.8%
4	Jhapa	25	1.2%
5	Morang	22	1%
6	Sunsari	17	0.8%
7	Dhankuta	14	0.7%
8	Tehrathum	39	1.8%
9	Sankhuwasabha	17	0.8%
10	Bhojpur	41	1.9%
11	Solukhumbu	17	0.8%
12	Okhaldhunga	37	1.8%
13	Khotang	70	3.3%
14	Udayapur	16	0.8%
15	Saptari	5	0.2%
16	Siraha	14	0.7%
17	Dhanusha	18	0.9%
18	Mahottari	28	1.3%
19	Sarlahi	15	0.7%
20	Sindhuli	32	1.5%
21	Ramechhap	19	0.9%
22	Dolakha	6	0.3%
23	Sindhupalchok	31	1.5%
24	Kabhrepalanchok	28	1.3%
25	Lalitpur	6	0.3%
26	Bhaktapur	6	0.3%
27	Kathmandu	33	1.6%
28	Nuwakot	13	0.6%
29	Rasuwa	4	0.2%
30	Dhading	27	1.3%
31	Makwanpur	16	0.8%
32	Rautahat	16	0.8%
33	Bara	18	0.9%
34	Parsa	11	0.5%
35	Chitwan	42	2%
36	Gorkha	8	0.4%
37	Lamjung	17	0.8%
38	Tanahun	20	0.9%
39	Syangja	68	3.2%
40	Kaski	29	1.4%
41	Manang	0	0%
42	Mustang	0	0%
43	Myagdi	6	0.3%
44	Parbat	32	1.5%
45	Baglung	39	1.8%
46	Gulmi	64	3%
47	Palpa	58	2.7%
48	Nawalparasi	20	0.9%
49	Rupandehi	8	0.4%
50	Kapilbastu	11	0.5%
51	Arghakhanchi	29	1.4%
52	Pyuthan	43	2%
53	Rolpa	16	0.8%
54	Rukum	13	0.6%
55	Salyan	60	2.8%
56	Dang	11	0.5%
57	Banke	9	0.4%
58	Bardiya	18	0.9%
59	Surkhet	45	2.1%
60	Dailekh	77	3.6%
61	Jajarkot	8	0.4%
62	Dolpa	2	0.1%
63	Jumla	7	0.3%
64	Kalikot	13	0.6%
65	Mugu	11	0.5%
66	Humla	0	0%
67	Bajura	13	0.6%
68	Bajhang	19	0.9%
69	Achham	58	2.7%
70	Doti	98	4.6%
71	Kailali	8	0.4%
72	Kanchanpur	21	1%
73	Dadeldhura	21	1%
74	Baitadi	17	0.8%
75	Darchula	7	0.3%
76	Other	225	10.7%
81	India	0	0%
82	Bhutan	0	0%
83	China	0	0%
84	Bangladesh	0	0%
85	Hongkong	0	0%
86	Malayasia	0	0%
87	Japan	0	0%
88	Saudi Arabia	0	0%
89	Qatar	0	0%
90	United Arab Emirates	0	0%
91	United Kingdom	0	0%
92	United States	0	0%
93	South Korea	0	0%
94	Australia	0	0%
95	Israel	0	0%
96	Other	0	0%
97	Other	0	0%
Sysmiss		26856

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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