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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F61]
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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
263857
Downloads
11919
  • Study Description
  • Data Dictionary
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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

1st Ent -amount item could be sold today (s10g1q6)

Data file: SEC10g1

Overview

Valid: 4864
Invalid: 164377
Minimum: 0
Maximum: 50000000
Type: Discrete
Decimal: 0
Start: 54
End: 61
Width: 8
Range: -
Format:

Questions and instructions

Literal question
For how much can item be sold today?
Categories
Value Category
0
20
30
40
50
70
90
100
120
130
150
160
170
180
200
240
250
300
350
380
400
450
500
540
550
600
650
700
750
800
850
900
950
1000
1100
1200
1300
1400
1500
1600
1700
1800
1900
2000
2100
2150
2200
2300
2400
2500
2550
2600
2650
2700
2800
2900
3000
3100
3200
3300
3400
3500
3600
3700
3800
4000
4100
4200
4400
4500
4600
4700
4800
5000
5200
5400
5500
5700
6000
6100
6400
6500
6800
6900
7000
7200
7500
7650
7800
8000
8200
8470
8500
8800
9000
9300
9400
9500
10000
10200
10320
10500
11000
11100
12000
12330
12500
13000
13200
13500
14000
14500
15000
15500
16000
16400
16500
17000
17500
18000
18500
19000
20000
20500
20700
21000
21500
22000
23000
24000
25000
25300
25500
26000
26400
27000
28000
29000
30000
30200
30500
31000
32000
34000
35000
36000
37000
38000
39000
40000
40500
41000
42000
43000
43500
43800
44000
45000
46000
47000
48000
49500
50000
51000
51300
51700
52000
54000
55000
60000
60500
62000
62500
63000
65000
68000
70000
72000
75000
76000
77000
78000
80000
82000
85000
87000
90000
92000
93000
95000
98000
100000
101300
102000
104000
110000
115000
118000
120000
124000
130000
135000
140000
144000
145000
150000
160000
162000
170000
177000
180000
180200
190000
200000
200600
210000
216000
220000
240000
250000
260000
270000
272000
280000
300000
310000
320000
350000
370000
380000
400000
450000
480000
500000
550000
600000
650000
700000
715000
720000
750000
800000
807000
850000
900000
936000
1000000
1100000
1200000
1300000
1400000
1500000
1600000
1700000
1800000
2000000
2200000
2500000
2780000
2800000
3000000
3500000
3600000
4000000
4300000
4500000
5550000
7000000
8000000
10000000
20000000
23000000
30000000
50000000
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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