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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F60]
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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
265216
Downloads
11922
  • 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

2nd Ent-amount spent on item in the past 12mths in GH¢ (s10f2q13)

Data file: SEC10f2

Overview

Valid: 736
Invalid: 8952
Minimum: 0
Maximum: 13536000
Type: Discrete
Decimal: 0
Start: 20
End: 27
Width: 8
Range: -
Format:

Questions and instructions

Literal question
How much did you spend on lease of machinery or transport equipment during the past 12 months - amount, GH¢ ?
Categories
Value Category
0
100
150
160
200
300
400
450
480
500
600
700
800
900
960
1000
1120
1200
1250
1300
1360
1500
1600
1700
1800
1920
2000
2080
2100
2400
2500
2560
2600
2880
3000
3200
3400
3500
3600
3800
3840
3900
4000
4100
4160
4200
4400
4500
4800
5000
5200
5600
5760
6000
6300
6400
6720
6820
7000
7200
7280
7500
7680
7800
8000
8320
8400
8640
9000
9600
9800
10000
10050
10400
10500
10800
11250
11500
11520
12000
12400
13000
13400
13500
13800
14000
14400
15000
15500
15600
16000
16500
16640
16800
17500
18000
18200
18480
18600
19000
19200
20000
20800
21600
22000
22080
22500
23920
24000
25000
25200
26000
26400
27000
28000
28800
30000
31200
32000
33600
35000
36000
36400
36500
37200
38000
38400
40000
42240
45000
47040
48000
50000
50400
51000
51200
52000
56400
57600
58000
60000
62400
63000
65280
70800
72000
75000
80000
86400
87560
88800
90000
93600
96000
100000
104000
107100
108000
110000
120000
131200
144000
148200
150000
150800
156000
168000
172800
180000
240000
243000
250000
252000
252200
260000
268800
288000
290000
291840
300000
319200
324000
360000
369200
399360
408000
416000
428400
450000
480000
520000
520800
560000
576000
600000
624000
636000
670000
754000
768000
948000
960000
984000
1094400
1152000
1440000
1812400
1820000
1950000
3416400
4675968
6240000
7920000
13536000
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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