Home / Central Data Catalog / WHSPLUS / DDI-BGD-WHO-WHSPLUS-2024-V01 / variable [F3]
WHSPlus

World Health Survey Plus Bangladesh 2023
Wave 1

Bangladesh, 2023
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Reference ID
DDI-BGD-WHO-WHSPLUS-2024-V01
Producer(s)
Iqbal Masud
Collections
World Health Survey Plus (WHS+)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 10, 2026
Last modified
Aug 10, 2026
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q0805b2: clothing_spend (q0805b2)

Data file: WHS+BGDHHData

Overview

Valid: 4554
Invalid: 1765
Type: Discrete
Decimal: 2
Width: 10
Range: -8 - 3000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8 don't know 73
1.6%
0 61
1.3%
50 2
0%
60 1
0%
90 1
0%
100 5
0.1%
120 2
0%
140 1
0%
150 10
0.2%
180 1
0%
200 12
0.3%
210 1
0%
250 8
0.2%
260 1
0%
290 1
0%
300 22
0.5%
350 5
0.1%
380 1
0%
390 1
0%
400 15
0.3%
420 1
0%
450 5
0.1%
500 62
1.4%
520 1
0%
550 1
0%
560 2
0%
600 27
0.6%
620 1
0%
625 1
0%
650 2
0%
680 1
0%
700 15
0.3%
750 3
0.1%
760 1
0%
780 1
0%
790 2
0%
800 32
0.7%
830 1
0%
850 2
0%
860 1
0%
900 6
0.1%
950 1
0%
1000 124
2.7%
1050 1
0%
1140 1
0%
1150 4
0.1%
1200 88
1.9%
1250 9
0.2%
1275 1
0%
1280 1
0%
1300 8
0.2%
1350 3
0.1%
1400 13
0.3%
1450 4
0.1%
1500 219
4.8%
1550 1
0%
1600 18
0.4%
1650 8
0.2%
1680 1
0%
1700 11
0.2%
1750 7
0.2%
1800 36
0.8%
1820 1
0%
1850 2
0%
1900 3
0.1%
1950 1
0%
2000 418
9.2%
2050 1
0%
2100 8
0.2%
2125 1
0%
2150 8
0.2%
2200 26
0.6%
2250 1
0%
2300 22
0.5%
2340 1
0%
2350 3
0.1%
2375 1
0%
2380 1
0%
2400 8
0.2%
2450 4
0.1%
2500 283
6.2%
2530 1
0%
2550 2
0%
2580 2
0%
2600 20
0.4%
2650 4
0.1%
2700 14
0.3%
2750 7
0.2%
2760 2
0%
2775 1
0%
2800 32
0.7%
2830 1
0%
2850 1
0%
2900 6
0.1%
2950 1
0%
3000 435
9.6%
3150 1
0%
3200 32
0.7%
3250 5
0.1%
3290 1
0%
3300 3
0.1%
3350 1
0%
3400 7
0.2%
3480 1
0%
3500 215
4.7%
3550 3
0.1%
3570 1
0%
3580 5
0.1%
3600 16
0.4%
3650 3
0.1%
3680 2
0%
3690 2
0%
3700 4
0.1%
3800 18
0.4%
3850 1
0%
3900 2
0%
4000 248
5.4%
4100 2
0%
4150 2
0%
4200 23
0.5%
4300 5
0.1%
4350 3
0.1%
4400 1
0%
4500 120
2.6%
4536 1
0%
4580 2
0%
4600 12
0.3%
4680 1
0%
4700 4
0.1%
4750 1
0%
4800 9
0.2%
4807 1
0%
4850 1
0%
4890 1
0%
4900 1
0%
5000 385
8.5%
5150 1
0%
5200 7
0.2%
5230 1
0%
5250 1
0%
5280 1
0%
5300 5
0.1%
5400 3
0.1%
5500 62
1.4%
5600 18
0.4%
5700 2
0%
5800 5
0.1%
5900 1
0%
6000 207
4.5%
6200 2
0%
6280 1
0%
6300 2
0%
6350 1
0%
6500 62
1.4%
6580 1
0%
6700 1
0%
6750 1
0%
6800 5
0.1%
7000 82
1.8%
7200 2
0%
7300 1
0%
7350 1
0%
7400 1
0%
7500 17
0.4%
7560 1
0%
7580 1
0%
7800 2
0%
8000 142
3.1%
8200 2
0%
8500 14
0.3%
8700 1
0%
8900 2
0%
9000 20
0.4%
9500 5
0.1%
9800 1
0%
10000 153
3.4%
10800 1
0%
11000 6
0.1%
11500 1
0%
12000 86
1.9%
12300 1
0%
12500 5
0.1%
12600 1
0%
13000 2
0%
13500 2
0%
14000 7
0.2%
15000 83
1.8%
16000 6
0.1%
17500 1
0%
18000 6
0.1%
20000 42
0.9%
22000 1
0%
23000 3
0.1%
24000 3
0.1%
25000 17
0.4%
26000 1
0%
30000 9
0.2%
35000 3
0.1%
40000 2
0%
45000 2
0%
50000 4
0.1%
55000 1
0%
3000000 1
0%
Sysmiss 1765
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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