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    Home / Central Data Catalog / NPL_2016_HRVS_V01_M / variable [F40]
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Household Risk and Vulnerability Survey 2016

Nepal, 2016
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Reference ID
NPL_2016_HRVS_v01_M
Producer(s)
Thomas Walker, Hanan Jacoby
Metadata
DDI/XML JSON
Created on
Oct 10, 2017
Last modified
Oct 10, 2017
Page views
40332
Downloads
322
  • Study Description
  • Data Dictionary
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  • Section_0
  • Section_1
  • Section_2
  • Section_3a
  • Section_3b
  • Section_4a
  • Section_4b
  • Section_5
  • Section_0
  • Section_1
  • Section_2
  • Section_3
  • Section_4
  • Section_5a
  • Section_5b
  • Section_6a
  • Section_6b
  • Section_6c
  • Section_6d
  • Section_7a
  • Section_7b
  • Section_8
  • Section_9a1
  • Section_9a2
  • Section_9a3
  • Section_9a4
  • Section_9b1
  • Section_9b2
  • Section_9c
  • Section_9d
  • Section_9e
  • Section_9f
  • Section_10
  • Section_11
  • Section_12a
  • Section_12b
  • Section_12c
  • Section_13a
  • Section_13b
  • Section_13c
  • Section_13d
  • Section_14a
  • Section_14b
  • Section_14c
  • Section_15a
  • Section_15b
  • Section_16

District of donor (s13q15d)

Data file: Section_13b

Overview

Valid: 23
Invalid: 124
Type: Discrete
Decimal: 0
Width: 8
Range: -
Format:

Questions and instructions

Categories
Value Category
1 Achham
2 Arghakhanchi
3 Baglung
4 Baitadi
5 Bajhang
6 Bajura
7 Banke
8 Bara
9 Bardiya
10 Bhaktapur
11 Bhojpur
12 Chitwan
13 Dadeldhura
14 Dailekh
15 Dang
16 Darchula
17 Dhading
18 Dhankuta
19 Dhanusa
20 Dolakha
21 Dolpa
22 Doti
23 Gorkha
24 Gulmi
25 Humla
26 Illam
27 Jajarkot
28 Jhapa
29 Jumla
30 Kailali
31 Kalikot
32 Kanchanpur
33 Kapilbastu
34 Kaski
35 Kathmandu
36 Kavrepalanchowk
37 Khotang
38 Lalitpur
39 Lamjung
40 Mahottari
41 Makwanpur
42 Manang
43 Morang
44 Mugu
45 Mustang
46 Myagdi
47 Nawalparasi
48 Nuwakot
49 Okhaldhunga
50 Palpa
51 Panchthar
52 Parbat
53 Parsa
54 Pyuthan
55 Ramechhap
56 Rasuwa
57 Rautahat
58 Rolpa
59 Rukum
60 Rupandehi
61 Salyan
62 Sankhuwasabha
63 Saptari
64 Sarlahi
65 Sindhuli
66 Sindhupalchowk
67 Siraha
68 Solukhumbhu
69 Sunsari
70 Surkhet
71 Syangja
72 Tanahu
73 Taplejung
74 Terhathum
75 Udayapur
Sysmiss
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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