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    Home / Central Data Catalog / LBR_2014_HIES_V01_M / variable [F26]
central

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
Page views
13620
Downloads
222
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • HH_A
  • HH_B
  • HH_C
  • HH_D
  • HH_E
  • HH_F
  • HH_G
  • HH_H
  • HH_I1
  • HH_I2
  • HH_J1
  • HH_J2
  • HH_K1
  • HH_K2
  • HH_K3
  • HH_L1
  • HH_L2
  • HH_M
  • HH_N1
  • HH_N2
  • HH_N3
  • HH_O
  • HH_P1
  • HH_P2
  • HH_Q
  • HH_R
  • HH_S
  • HH_CONSUMPTION

How much did the household spend on [NAME] in the last thirty days for medical c (hh_d_15_1)

Data file: HH_D

Overview

Valid: 18089
Invalid: 0
Minimum: 0
Maximum: 10000
Type: Discrete
Decimal: 0
Start: 75
End: 79
Width: 5
Range: 0 - 10000
Format: Numeric

Questions and instructions

Literal question
How much did the household spend on [NAME] in the last thirty days for medical consultations, prescription medicines, pre-natal visits, medical treatments like (bandages, injection), vaccinations, prescription medicines etc that are not already covered previously?- Liberian Dollar (LD)
Categories
Value Category Cases
0 16235
89.8%
5 2
0%
10 7
0%
15 2
0%
20 12
0.1%
25 9
0%
30 9
0%
35 3
0%
40 9
0%
45 1
0%
50 67
0.4%
55 1
0%
60 12
0.1%
65 2
0%
70 4
0%
75 35
0.2%
80 13
0.1%
85 1
0%
90 13
0.1%
95 1
0%
100 135
0.7%
110 2
0%
120 7
0%
125 13
0.1%
130 3
0%
135 1
0%
140 1
0%
150 164
0.9%
155 1
0%
160 9
0%
170 1
0%
175 21
0.1%
180 8
0%
185 2
0%
190 1
0%
195 1
0%
200 124
0.7%
210 6
0%
220 2
0%
225 6
0%
230 2
0%
235 1
0%
240 5
0%
250 126
0.7%
260 2
0%
265 1
0%
270 4
0%
275 15
0.1%
280 6
0%
285 2
0%
300 120
0.7%
320 2
0%
325 2
0%
330 3
0%
340 1
0%
350 75
0.4%
360 1
0%
370 1
0%
375 10
0.1%
380 2
0%
390 2
0%
400 71
0.4%
420 1
0%
425 4
0%
430 1
0%
450 52
0.3%
460 1
0%
475 9
0%
480 3
0%
485 1
0%
490 3
0%
500 130
0.7%
510 1
0%
525 2
0%
530 1
0%
540 1
0%
550 15
0.1%
560 1
0%
575 2
0%
580 1
0%
590 1
0%
600 41
0.2%
610 1
0%
625 2
0%
650 21
0.1%
660 1
0%
670 1
0%
675 2
0%
685 1
0%
700 42
0.2%
720 1
0%
725 1
0%
730 1
0%
735 1
0%
750 23
0.1%
765 1
0%
770 2
0%
775 1
0%
780 3
0%
800 38
0.2%
835 1
0%
850 13
0.1%
875 2
0%
880 1
0%
890 1
0%
900 10
0.1%
950 2
0%
965 1
0%
975 1
0%
1000 54
0.3%
1050 2
0%
1100 7
0%
1175 1
0%
1200 19
0.1%
1220 1
0%
1250 5
0%
1275 1
0%
1300 4
0%
1320 1
0%
1325 1
0%
1350 4
0%
1395 1
0%
1400 5
0%
1500 42
0.2%
1575 2
0%
1600 3
0%
1650 2
0%
1675 1
0%
1680 1
0%
1685 1
0%
1700 4
0%
1750 3
0%
1800 11
0.1%
1860 1
0%
1950 2
0%
2000 24
0.1%
2200 2
0%
2300 2
0%
2500 6
0%
2695 1
0%
2700 2
0%
2750 1
0%
2800 2
0%
2920 1
0%
3000 8
0%
3500 3
0%
3800 1
0%
4000 4
0%
4500 1
0%
5100 1
0%
5500 2
0%
6250 1
0%
6500 1
0%
10000 1
0%
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.
Interviewer instructions
Do not include overnight stays at a medical facility or visits to a traditional healer.
Question post text
Include estimated value of any in-kind payments.
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