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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
266979
Downloads
11922
  • Study Description
  • Data Dictionary
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  • 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 -value of item at time of purchase (1st) (s10g1q3a)

Data file: SEC10g1

Overview

Valid: 4902
Invalid: 164339
Minimum: 0
Maximum: 15000000
Type: Discrete
Decimal: 0
Start: 24
End: 31
Width: 8
Range: -
Format:

Questions and instructions

Literal question
What was the value of the item at the time of purchase? - 1st ?
Categories
Value Category
0
10
20
30
40
50
60
70
80
90
100
120
140
150
180
200
240
250
300
350
400
450
500
550
600
650
700
750
800
850
900
1000
1050
1100
1200
1250
1300
1350
1400
1500
1600
1700
1750
1800
2000
2100
2200
2300
2400
2450
2500
2600
2700
2800
2850
3000
3100
3200
3300
3400
3500
3600
3700
3800
4000
4200
4400
4500
4600
4700
4800
5000
5200
5400
5500
5600
6000
6500
6700
6800
6900
7000
7200
7500
7600
7800
8000
8100
8400
8500
8800
9000
9500
9600
9800
10000
10320
10500
11000
11500
12000
12500
13000
13500
14000
14400
14500
15000
15800
16000
16200
16500
17000
17500
18000
18500
19500
20000
21000
21600
22000
22500
23000
23500
24000
25000
26000
27000
27400
28000
30000
31500
31600
32000
33000
34000
34500
34800
35000
36000
37000
37900
38000
38500
40000
41000
42000
43000
45000
46000
47000
48000
50000
51000
52000
55000
56000
57000
58000
60000
63000
65000
67000
68000
70000
72000
73000
75000
77000
80000
85000
88000
90000
94400
95000
96000
99200
100000
100800
104000
108000
110000
120000
124000
125000
130000
135000
140000
142000
144000
145000
148500
150000
155000
156000
160000
160050
170000
173000
175000
180000
200000
210000
220000
230000
240000
250000
253800
270000
275000
280000
300000
310000
350000
358000
360000
370000
380000
400000
450000
460000
480000
500000
540000
550000
600000
610000
620000
640000
650000
700000
720000
750000
800000
900000
910000
950000
970000
1000000
1200000
1300000
1400000
1500000
1650000
1670000
1800000
1900000
2000000
2005000
2400000
2500000
3000000
3210000
3500000
3500100
3800000
4500000
5000000
5053500
6000000
7000000
10000000
12000000
15000000
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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