Home / Central Data Catalog / WHSPLUS / DDI-NPL-WHO-WHSPLUS-2023-V01 / variable [F3]
WHSPlus

World Health Survey Plus Nepal 2023
Wave 1

Nepal, 2023
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Reference ID
DDI-NPL-WHO-WHSPLUS-2023-V01
Producer(s)
Professor Abhinav Vaidya
Collections
World Health Survey Plus (WHS+)
Metadata
Documentation in PDF DDI/XML JSON
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Created on
Apr 24, 2026
Last modified
May 05, 2026
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strata (strata)

Data file: WHS+NPLINDData

Overview

Valid: 5940
Invalid: 545
Type: Discrete
Decimal: 0
Width: 32
Range: 1 - 112
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 bagmati-rural-female-18-49 76
1.3%
2 bagmati-rural-female-50-59 25
0.4%
3 bagmati-rural-female-60-69 12
0.2%
4 bagmati-rural-female-70+ 6
0.1%
5 bagmati-rural-male-18-49 70
1.2%
6 bagmati-rural-male-50-59 19
0.3%
7 bagmati-rural-male-60-69 15
0.3%
8 bagmati-rural-male-70+ 11
0.2%
9 bagmati-urban-female-18-49 496
8.4%
10 bagmati-urban-female-50-59 132
2.2%
11 bagmati-urban-female-60-69 59
1%
12 bagmati-urban-female-70+ 38
0.6%
13 bagmati-urban-male-18-49 336
5.7%
14 bagmati-urban-male-50-59 105
1.8%
15 bagmati-urban-male-60-69 63
1.1%
16 bagmati-urban-male-70+ 34
0.6%
17 gandaki-rural-female-18-49 41
0.7%
18 gandaki-rural-female-50-59 17
0.3%
19 gandaki-rural-female-60-69 8
0.1%
20 gandaki-rural-female-70+ 10
0.2%
21 gandaki-rural-male-18-49 12
0.2%
22 gandaki-rural-male-50-59 3
0.1%
23 gandaki-rural-male-60-69 6
0.1%
24 gandaki-rural-male-70+ 7
0.1%
25 gandaki-urban-female-18-49 128
2.2%
26 gandaki-urban-female-50-59 39
0.7%
27 gandaki-urban-female-60-69 27
0.5%
28 gandaki-urban-female-70+ 18
0.3%
29 gandaki-urban-male-18-49 45
0.8%
30 gandaki-urban-male-50-59 22
0.4%
31 gandaki-urban-male-60-69 21
0.4%
32 gandaki-urban-male-70+ 13
0.2%
33 karnali-rural-female-18-49 23
0.4%
34 karnali-rural-female-50-59 4
0.1%
35 karnali-rural-female-60-69 4
0.1%
36 karnali-rural-female-70+ 2
0%
37 karnali-rural-male-18-49 23
0.4%
38 karnali-rural-male-50-59 8
0.1%
39 karnali-rural-male-60-69 4
0.1%
40 karnali-rural-male-70+ 1
0%
41 karnali-urban-female-18-49 70
1.2%
42 karnali-urban-female-50-59 9
0.2%
43 karnali-urban-female-60-69 11
0.2%
44 karnali-urban-female-70+ 6
0.1%
45 karnali-urban-male-18-49 41
0.7%
46 karnali-urban-male-50-59 8
0.1%
47 karnali-urban-male-60-69 8
0.1%
48 karnali-urban-male-70+ 3
0.1%
49 koshi-rural-female-18-49 96
1.6%
50 koshi-rural-female-50-59 31
0.5%
51 koshi-rural-female-60-69 19
0.3%
52 koshi-rural-female-70+ 13
0.2%
53 koshi-rural-male-18-49 53
0.9%
54 koshi-rural-male-50-59 17
0.3%
55 koshi-rural-male-60-69 17
0.3%
56 koshi-rural-male-70+ 14
0.2%
57 koshi-urban-female-18-49 206
3.5%
58 koshi-urban-female-50-59 47
0.8%
59 koshi-urban-female-60-69 49
0.8%
60 koshi-urban-female-70+ 27
0.5%
61 koshi-urban-male-18-49 109
1.8%
62 koshi-urban-male-50-59 36
0.6%
63 koshi-urban-male-60-69 24
0.4%
64 koshi-urban-male-70+ 21
0.4%
65 lumbini-rural-female-18-49 136
2.3%
66 lumbini-rural-female-50-59 31
0.5%
67 lumbini-rural-female-60-69 19
0.3%
68 lumbini-rural-female-70+ 13
0.2%
69 lumbini-rural-male-18-49 57
1%
70 lumbini-rural-male-50-59 22
0.4%
71 lumbini-rural-male-60-69 19
0.3%
72 lumbini-rural-male-70+ 15
0.3%
73 lumbini-urban-female-18-49 182
3.1%
74 lumbini-urban-female-50-59 39
0.7%
75 lumbini-urban-female-60-69 28
0.5%
76 lumbini-urban-female-70+ 19
0.3%
77 lumbini-urban-male-18-49 108
1.8%
78 lumbini-urban-male-50-59 38
0.6%
79 lumbini-urban-male-60-69 17
0.3%
80 lumbini-urban-male-70+ 12
0.2%
81 madhesh-rural-female-18-49 337
5.7%
82 madhesh-rural-female-50-59 89
1.5%
83 madhesh-rural-female-60-69 52
0.9%
84 madhesh-rural-female-70+ 60
1%
85 madhesh-rural-male-18-49 113
1.9%
86 madhesh-rural-male-50-59 39
0.7%
87 madhesh-rural-male-60-69 35
0.6%
88 madhesh-rural-male-70+ 54
0.9%
89 madhesh-urban-female-18-49 344
5.8%
90 madhesh-urban-female-50-59 91
1.5%
91 madhesh-urban-female-60-69 60
1%
92 madhesh-urban-female-70+ 50
0.8%
93 madhesh-urban-male-18-49 125
2.1%
94 madhesh-urban-male-50-59 65
1.1%
95 madhesh-urban-male-60-69 42
0.7%
96 madhesh-urban-male-70+ 61
1%
97 sudurpashchim-rural-female-18-49 79
1.3%
98 sudurpashchim-rural-female-50-59 8
0.1%
99 sudurpashchim-rural-female-60-69 6
0.1%
100 sudurpashchim-rural-female-70+ 4
0.1%
101 sudurpashchim-rural-male-18-49 30
0.5%
102 sudurpashchim-rural-male-50-59 15
0.3%
103 sudurpashchim-rural-male-60-69 8
0.1%
104 sudurpashchim-rural-male-70+ 6
0.1%
105 sudurpashchim-urban-female-18-49 203
3.4%
106 sudurpashchim-urban-female-50-59 44
0.7%
107 sudurpashchim-urban-female-60-69 24
0.4%
108 sudurpashchim-urban-female-70+ 20
0.3%
109 sudurpashchim-urban-male-18-49 118
2%
110 sudurpashchim-urban-male-50-59 37
0.6%
111 sudurpashchim-urban-male-60-69 27
0.5%
112 sudurpashchim-urban-male-70+ 21
0.4%
Sysmiss 545
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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