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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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What are the final costs of traded goods that your [ENTERPRISE] deals with per w (hh_h_14_1)

Data file: HH_H

Overview

Valid: 1203
Invalid: 3196
Minimum: 0
Maximum: 400000
Type: Discrete
Decimal: 0
Start: 147
End: 152
Width: 6
Range: 0 - 400000
Format: Numeric

Questions and instructions

Literal question
What are the final costs of traded goods that your [ENTERPRISE] deals with per week/month? - Liberian dollar
Categories
Value Category Cases
0 146
12.1%
20 1
0.1%
50 3
0.2%
100 6
0.5%
150 6
0.5%
170 1
0.1%
180 1
0.1%
200 15
1.2%
230 1
0.1%
250 7
0.6%
300 17
1.4%
350 7
0.6%
375 1
0.1%
400 17
1.4%
410 1
0.1%
425 1
0.1%
430 1
0.1%
450 4
0.3%
500 30
2.5%
525 1
0.1%
550 3
0.2%
560 1
0.1%
575 1
0.1%
580 2
0.2%
600 16
1.3%
620 1
0.1%
625 1
0.1%
650 5
0.4%
700 10
0.8%
720 1
0.1%
750 8
0.7%
760 1
0.1%
800 8
0.7%
835 1
0.1%
850 4
0.3%
870 2
0.2%
875 2
0.2%
880 1
0.1%
900 8
0.7%
950 1
0.1%
970 1
0.1%
975 1
0.1%
980 1
0.1%
1000 53
4.4%
1020 1
0.1%
1050 2
0.2%
1080 1
0.1%
1100 4
0.3%
1120 1
0.1%
1140 1
0.1%
1150 3
0.2%
1180 1
0.1%
1200 22
1.8%
1210 1
0.1%
1250 6
0.5%
1260 3
0.2%
1300 3
0.2%
1310 1
0.1%
1350 1
0.1%
1400 8
0.7%
1416 1
0.1%
1440 1
0.1%
1450 1
0.1%
1495 1
0.1%
1500 44
3.7%
1550 1
0.1%
1560 1
0.1%
1580 2
0.2%
1600 1
0.1%
1620 1
0.1%
1630 1
0.1%
1650 3
0.2%
1680 1
0.1%
1700 5
0.4%
1750 6
0.5%
1800 7
0.6%
1875 1
0.1%
1900 2
0.2%
1980 1
0.1%
2000 52
4.3%
2050 1
0.1%
2100 3
0.2%
2110 1
0.1%
2125 1
0.1%
2155 1
0.1%
2180 1
0.1%
2200 4
0.3%
2235 1
0.1%
2300 1
0.1%
2400 10
0.8%
2500 26
2.2%
2550 1
0.1%
2580 1
0.1%
2585 1
0.1%
2600 6
0.5%
2650 1
0.1%
2700 2
0.2%
2800 10
0.8%
2860 1
0.1%
2870 1
0.1%
2900 1
0.1%
3000 41
3.4%
3050 1
0.1%
3100 2
0.2%
3150 2
0.2%
3200 4
0.3%
3210 1
0.1%
3250 1
0.1%
3300 3
0.2%
3330 1
0.1%
3400 1
0.1%
3480 1
0.1%
3500 13
1.1%
3560 1
0.1%
3580 1
0.1%
3600 8
0.7%
3640 1
0.1%
3700 2
0.2%
3750 1
0.1%
3800 3
0.2%
3860 1
0.1%
3900 2
0.2%
4000 37
3.1%
4200 4
0.3%
4300 1
0.1%
4350 1
0.1%
4450 1
0.1%
4500 8
0.7%
4600 1
0.1%
4700 1
0.1%
4800 4
0.3%
4860 2
0.2%
5000 34
2.8%
5040 1
0.1%
5200 2
0.2%
5400 2
0.2%
5500 5
0.4%
5550 1
0.1%
5750 1
0.1%
6000 22
1.8%
6200 3
0.2%
6225 1
0.1%
6250 1
0.1%
6400 1
0.1%
6480 1
0.1%
6500 4
0.3%
6600 2
0.2%
6750 2
0.2%
6760 1
0.1%
6800 1
0.1%
7000 19
1.6%
7200 3
0.2%
7280 1
0.1%
7350 1
0.1%
7500 5
0.4%
7550 1
0.1%
7600 1
0.1%
7800 2
0.2%
7850 1
0.1%
8000 19
1.6%
8200 2
0.2%
8400 1
0.1%
8490 1
0.1%
8500 1
0.1%
9000 14
1.2%
9050 1
0.1%
9250 1
0.1%
9500 2
0.2%
9600 2
0.2%
9800 2
0.2%
10000 41
3.4%
10200 2
0.2%
10500 4
0.3%
11000 2
0.2%
11150 1
0.1%
11500 1
0.1%
11800 2
0.2%
11900 1
0.1%
12000 12
1%
12150 1
0.1%
12500 2
0.2%
12800 1
0.1%
12950 1
0.1%
13000 3
0.2%
13400 1
0.1%
13500 2
0.2%
14000 7
0.6%
14200 1
0.1%
14250 1
0.1%
14500 1
0.1%
15000 24
2%
15400 1
0.1%
15900 1
0.1%
16000 8
0.7%
16250 1
0.1%
16500 2
0.2%
16800 1
0.1%
16950 1
0.1%
17000 2
0.2%
17650 1
0.1%
18000 6
0.5%
18900 1
0.1%
19000 2
0.2%
20000 13
1.1%
21000 2
0.2%
21450 1
0.1%
22000 2
0.2%
22500 1
0.1%
23000 1
0.1%
23100 1
0.1%
24000 4
0.3%
24400 1
0.1%
25000 4
0.3%
25200 1
0.1%
25500 1
0.1%
25850 1
0.1%
26000 2
0.2%
26900 1
0.1%
27000 1
0.1%
29000 1
0.1%
29900 1
0.1%
30000 7
0.6%
30500 1
0.1%
32000 1
0.1%
33000 2
0.2%
34125 1
0.1%
35000 3
0.2%
36000 3
0.2%
37000 1
0.1%
37500 1
0.1%
40000 2
0.2%
42000 1
0.1%
43000 1
0.1%
48000 1
0.1%
50000 3
0.2%
53615 1
0.1%
60000 1
0.1%
60500 1
0.1%
66000 1
0.1%
75000 4
0.3%
80000 1
0.1%
85000 1
0.1%
87000 1
0.1%
100000 2
0.2%
250000 1
0.1%
400000 1
0.1%
Sysmiss 3196
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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