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    Home / Central Data Catalog / LBR_2014_HIES_V01_M / variable [F30]
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 for Statistics and Geo-Information Services
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 13, 2015
Last modified
Mar 29, 2019
Page views
139564
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • 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

What are total revenues of sales of traded goods that your [ENTERPRISE] normally (hh_h_13_1)

Data file: HH_H

Overview

Valid: 1203
Invalid: 3196
Minimum: 0
Maximum: 448000
Type: Discrete
Decimal: 0
Start: 135
End: 140
Width: 6
Range: -
Format:

Questions and instructions

Literal question
What are total revenues of sales of traded goods that your [ENTERPRISE] normally receives per week/month? - Liberian dollar
Categories
Value Category
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120
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825
835
840
850
865
900
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960
1000
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1120
1200
1250
1260
1300
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1560
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2310
2375
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3300
3310
3400
3495
3500
3560
3600
3650
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3750
3800
3825
3840
3900
3925
3950
4000
4100
4166
4200
4350
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4600
4625
4800
4860
4890
4900
5000
5150
5200
5500
5600
5625
6000
6500
6600
6800
6945
7000
7200
7300
7400
7450
7500
7600
7650
7800
8000
8080
8180
8200
8250
8300
8400
8460
8500
8600
8700
8800
8960
9000
9100
9200
9360
9400
9500
9560
9600
9750
9800
10000
10150
10250
10380
10500
10600
10750
10850
11000
11175
11200
11500
11800
11860
12000
12500
12610
12685
12750
12900
13000
13200
13400
13500
13900
14000
14325
14400
14500
14800
15000
15200
16000
16350
16400
16480
16500
16800
16950
17000
17500
17540
17950
18000
18500
18600
18700
19000
19200
19880
20000
20280
21000
21300
22000
22500
23000
23600
23700
24000
24200
25000
26000
26400
26600
27000
27500
28000
28100
28500
29200
30000
31000
32000
32500
33800
34000
34200
34500
35000
36000
36900
37000
37500
38000
38400
38950
39000
40000
40300
41165
42000
44000
45000
46000
46200
46700
49000
49200
50000
51000
53750
56000
57000
58000
60000
63000
70000
72000
75000
80000
90000
100000
112500
120000
140000
150000
160000
180000
220000
225000
250000
300000
350000
448000
Sysmiss
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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