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Household Income and Expenditure Survey 2014-2015

Liberia, 2014 - 2015
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Reference ID
LBR_2014_HIES_v01_M
Producer(s)
Liberia Institute of Statistics and Geo-Information Services
Metadata
DDI/XML JSON
Created on
Sep 12, 2024
Last modified
Oct 08, 2024
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How much did [NAME] spend on the most recent visit to the health care provider i (hh_d_11_1)

Data file: HH_D

Overview

Valid: 1499
Invalid: 16590
Minimum: 0
Maximum: 21000
Type: Discrete
Decimal: 0
Start: 59
End: 63
Width: 5
Range: 0 - 21000
Format: Numeric

Questions and instructions

Literal question
How much did [NAME] spend in total on the most recent visit to the health care provider in the last thirty days for prescription medicines, tests, consultations and in-patient fees, if any in the last thirty days ?- Liberian Dollar (LD)
Categories
Value Category Cases
0 108
7.2%
5 4
0.3%
10 8
0.5%
15 1
0.1%
20 6
0.4%
25 14
0.9%
30 2
0.1%
40 3
0.2%
45 1
0.1%
50 24
1.6%
60 2
0.1%
65 1
0.1%
70 3
0.2%
75 16
1.1%
80 4
0.3%
100 40
2.7%
120 7
0.5%
125 8
0.5%
130 1
0.1%
140 1
0.1%
150 62
4.1%
160 2
0.1%
170 1
0.1%
175 11
0.7%
180 2
0.1%
190 1
0.1%
195 1
0.1%
200 43
2.9%
205 2
0.1%
225 1
0.1%
230 1
0.1%
235 1
0.1%
240 2
0.1%
250 51
3.4%
265 1
0.1%
275 7
0.5%
280 1
0.1%
285 1
0.1%
300 56
3.7%
310 1
0.1%
315 1
0.1%
320 1
0.1%
340 2
0.1%
345 1
0.1%
350 41
2.7%
360 2
0.1%
370 3
0.2%
375 4
0.3%
380 4
0.3%
400 44
2.9%
410 1
0.1%
415 1
0.1%
425 3
0.2%
430 1
0.1%
440 1
0.1%
450 27
1.8%
460 2
0.1%
475 2
0.1%
480 3
0.2%
485 1
0.1%
500 104
6.9%
505 1
0.1%
510 1
0.1%
540 1
0.1%
550 18
1.2%
575 5
0.3%
580 1
0.1%
590 1
0.1%
600 46
3.1%
625 3
0.2%
640 3
0.2%
645 1
0.1%
650 21
1.4%
675 2
0.1%
700 35
2.3%
720 1
0.1%
725 2
0.1%
745 1
0.1%
750 38
2.5%
775 4
0.3%
780 5
0.3%
800 50
3.3%
810 2
0.1%
820 1
0.1%
825 2
0.1%
840 1
0.1%
850 19
1.3%
860 1
0.1%
875 3
0.2%
900 16
1.1%
910 1
0.1%
930 1
0.1%
940 2
0.1%
950 15
1%
970 1
0.1%
975 4
0.3%
980 1
0.1%
985 1
0.1%
1000 60
4%
1005 1
0.1%
1010 1
0.1%
1025 1
0.1%
1050 7
0.5%
1075 1
0.1%
1100 6
0.4%
1150 2
0.1%
1200 33
2.2%
1240 1
0.1%
1250 6
0.4%
1275 4
0.3%
1280 1
0.1%
1300 14
0.9%
1340 1
0.1%
1350 6
0.4%
1360 1
0.1%
1400 7
0.5%
1420 1
0.1%
1450 2
0.1%
1500 61
4.1%
1525 1
0.1%
1550 2
0.1%
1575 1
0.1%
1590 1
0.1%
1600 7
0.5%
1650 5
0.3%
1680 1
0.1%
1700 4
0.3%
1750 2
0.1%
1775 1
0.1%
1780 1
0.1%
1800 19
1.3%
1850 1
0.1%
1860 1
0.1%
1900 3
0.2%
1950 1
0.1%
1960 1
0.1%
1970 1
0.1%
1975 1
0.1%
1980 2
0.1%
2000 31
2.1%
2050 1
0.1%
2100 2
0.1%
2150 1
0.1%
2200 4
0.3%
2235 1
0.1%
2300 1
0.1%
2340 1
0.1%
2350 1
0.1%
2400 3
0.2%
2500 26
1.7%
2600 5
0.3%
2695 1
0.1%
2700 3
0.2%
2800 5
0.3%
2900 3
0.2%
2950 2
0.1%
3000 13
0.9%
3150 1
0.1%
3200 2
0.1%
3225 1
0.1%
3250 1
0.1%
3400 2
0.1%
3470 1
0.1%
3500 9
0.6%
3600 1
0.1%
3650 1
0.1%
3700 1
0.1%
3730 1
0.1%
3800 3
0.2%
3875 1
0.1%
3910 1
0.1%
4000 5
0.3%
4500 1
0.1%
4700 1
0.1%
4800 1
0.1%
4950 1
0.1%
5000 6
0.4%
6000 1
0.1%
6250 1
0.1%
6500 2
0.1%
6900 1
0.1%
7000 1
0.1%
7975 1
0.1%
8000 3
0.2%
9000 1
0.1%
9800 1
0.1%
10600 1
0.1%
13000 1
0.1%
15950 1
0.1%
16000 2
0.1%
17000 1
0.1%
21000 1
0.1%
Sysmiss 16590
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.
Question post text
Include estimated value of any in-kind payments.
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