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    Home / Central Data Catalog / WHSPLUS / DDI-NPL-WHO-WHSPLUS-2023-V01 / variable [F2]
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
Study website
Created on
Apr 24, 2026
Last modified
May 05, 2026
Page views
80980
Downloads
975
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  • WHS+NPLHHData
  • WHS+NPLINDData

q0805b3: glassware_spend (q0805b3)

Data file: WHS+NPLHHData

Overview

Valid: 2023
Invalid: 4462
Type: Discrete
Decimal: 2
Width: 10
Range: -8 - 50000
Format: Numeric

Questions and instructions

Literal question
During the last 6 months, how much did your household spend to purchase [ITEM]? value in local currency
Categories
Value Category Cases
-8 don't know 42
2.1%
0 8
0.4%
200 9
0.4%
214 1
0%
250 4
0.2%
254 1
0%
257 1
0%
300 18
0.9%
350 2
0.1%
400 6
0.3%
450 3
0.1%
500 46
2.3%
600 19
0.9%
650 1
0%
680 2
0.1%
700 9
0.4%
750 1
0%
780 1
0%
800 21
1%
900 3
0.1%
996 1
0%
1000 84
4.2%
1100 3
0.1%
1200 23
1.1%
1300 5
0.2%
1320 1
0%
1345 1
0%
1400 8
0.4%
1455 1
0%
1500 75
3.7%
1524 1
0%
1600 9
0.4%
1650 1
0%
1700 4
0.2%
1800 13
0.6%
1860 1
0%
1900 3
0.1%
1950 1
0%
1965 1
0%
2000 202
10%
2080 1
0%
2100 2
0.1%
2200 8
0.4%
2250 1
0%
2300 4
0.2%
2350 1
0%
2351 1
0%
2356 1
0%
2406 1
0%
2410 1
0%
2431 1
0%
2435 1
0%
2500 79
3.9%
2600 2
0.1%
2690 1
0%
2700 2
0.1%
2800 4
0.2%
2900 2
0.1%
3000 205
10.1%
3100 1
0%
3200 9
0.4%
3214 1
0%
3245 1
0%
3250 1
0%
3256 1
0%
3270 1
0%
3300 3
0.1%
3310 1
0%
3400 2
0.1%
3450 1
0%
3500 33
1.6%
3600 2
0.1%
3950 1
0%
4000 65
3.2%
4100 1
0%
4200 2
0.1%
4300 2
0.1%
4500 20
1%
4506 1
0%
4800 1
0%
5000 312
15.4%
5200 1
0%
5500 8
0.4%
5550 1
0%
5575 1
0%
5600 1
0%
6000 115
5.7%
6500 6
0.3%
6800 1
0%
7000 42
2.1%
7500 1
0%
8000 60
3%
8500 3
0.1%
9000 7
0.3%
10000 169
8.4%
11000 4
0.2%
12000 19
0.9%
13000 3
0.1%
13215 1
0%
13520 1
0%
14000 3
0.1%
14136 1
0%
15000 51
2.5%
16000 8
0.4%
16324 1
0%
16325 2
0.1%
17000 1
0%
17632 2
0.1%
18000 4
0.2%
18532 1
0%
18632 2
0.1%
19630 1
0%
20000 41
2%
20500 1
0%
25000 14
0.7%
30000 17
0.8%
30400 1
0%
35000 1
0%
40000 6
0.3%
50000 5
0.2%
Sysmiss 4462
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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