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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F56]
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Living Standards Survey VI 2012-2013

Ghana, 2012 - 2013
Reference ID
GHA_2012_GLSS_v01_M
Producer(s)
Ghana Statistical Service
Metadata
DDI/XML JSON
Created on
Dec 22, 2014
Last modified
Mar 29, 2019
Page views
266412
Downloads
11922
  • Study Description
  • Data Dictionary
  • Downloads
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  • Related Publications
  • Data files
  • GHA_2013_E
  • GHA_2013_H
  • GHA_2013_I
  • SEC0
  • SEC1
  • SEC2a
  • SEC2b
  • SEC2c
  • SEC3a
  • SEC3b
  • SEC3c
  • SEC3d
  • SEC3e
  • SEC4a
  • SEC4b
  • SEC4c
  • SEC4d
  • SEC4e
  • SEC4f
  • SEC4g
  • SEC4h
  • SEC4hs
  • SEC5a
  • SEC5b
  • SEC6
  • SEC6q10
  • SEC7
  • SEC8a1
  • SEC8a2
  • SEC8a3
  • SEC8b
  • SEC8c1
  • SEC8c2
  • SEC8d
  • SEC8e
  • SEC8f
  • SEC8g
  • SEC8h
  • SEC9a
  • SEC9b
  • SEC9c
  • SEC10a
  • SEC10b
  • SEC10c1
  • SEC10c2
  • SEC10d3
  • SEC10d4
  • SEC10d5a
  • SEC10d5b
  • SEC10d6a
  • SEC10d6b
  • SEC10d11
  • SEC10d12
  • SEC10d2 1
  • SEC10d22
  • SEC10e
  • SEC10e1
  • SEC10e2
  • SEC10f1
  • SEC10f2
  • SEC10g1
  • SEC10g2
  • SEC10h
  • SEC11a
  • SEC11b
  • SEC11c
  • SEC11d
  • SEC11ea
  • SEC11eb1
  • SEC11eb2
  • SEC11ebb
  • SEC11ec
  • SEC12a
  • SEC12b
  • SEC12c
  • SECa01
  • SECa04
  • SECb0
  • SECb1
  • SECb2
  • WYX
  • Comm_SEC0
  • Comm_SEC1
  • Comm_SEC2
  • Comm_SEC3
  • Comm_SEC4a
  • Comm_SEC4b
  • Comm_SEC4c
  • Comm_SEC5a
  • Comm_SEC5b

Ent NOP in last 2wks-revenue from sales in GH¢ (s10eq6)

Data file: SEC10e

Overview

Valid: 1156
Invalid: 8512
Minimum: 0
Maximum: 1760000
Type: Discrete
Decimal: 0
Start: 37
End: 43
Width: 7
Range: -
Format:

Questions and instructions

Literal question
How much revenue is usually received from the sale of goods and services by this enterprise during a 2 week period?
Categories
Value Category
0
100
200
300
350
400
500
600
750
800
900
1000
1138
1200
1400
1500
1600
1700
1750
1780
1800
1900
2000
2050
2100
2160
2200
2250
2400
2500
2600
2630
2700
2800
2830
3000
3020
3200
3240
3400
3410
3500
3600
3800
3900
4000
4200
4400
4500
4600
4800
4900
5000
5030
5200
5400
5500
5600
6000
6200
6250
6300
6400
6500
6600
6620
6900
7000
7160
7200
7400
7500
8000
8150
8200
8400
8600
8800
9000
9100
9460
9500
9600
10000
10200
10500
11000
11200
12000
12250
12500
12600
12800
13000
13200
13400
13500
13600
13850
14000
14400
14750
15000
15600
15750
15900
16000
16100
16250
17100
17500
17538
17600
17750
18000
18200
19600
19680
20000
20040
20300
20500
21000
21500
21600
22000
22500
23650
23800
24000
25000
26000
26250
26800
27170
27600
27800
28000
28500
29200
30000
30240
30500
31000
31200
32000
33380
33900
34800
35000
36000
37500
38000
40000
41000
41600
42000
42260
42500
44283
45000
48000
49000
50000
52000
52500
53000
53200
54000
55000
56000
57000
57400
60000
61000
62200
63000
63500
64000
64500
65000
66700
70000
71700
72000
73220
75000
80000
80100
83000
83100
83200
84000
84500
87000
89000
89720
90000
92000
96949
99000
99800
100000
102000
110000
112000
120000
135000
136000
136600
144000
145000
145500
147000
150000
156000
160000
167400
170000
180000
190000
196000
200000
210000
216000
217600
220000
224000
225500
226000
240000
243000
250000
260000
273550
280000
293000
300000
300300
330000
332000
340000
352500
400000
425000
450000
480000
500000
600000
641500
800000
1050000
1080000
1260000
1496000
1605000
1760000
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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