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    Home / Central Data Catalog / GHA_2012_GLSS_V01_M / variable [F27]
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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
255792
Downloads
11862
  • 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

Amount spent for construction or repair cost (s7cq7)

Data file: SEC7

Overview

Valid: 16693
Invalid: 79
Minimum: 0
Maximum: 36000
Type: Discrete
Decimal: 0
Start: 43
End: 47
Width: 5
Range: -
Format:

Questions and instructions

Literal question
How much did your household spend for construction or repair cost and painting in the last 12 months on this dwelling?
Categories
Value Category
0
1
1.2
1.47
1.92
2
2.5
3
4
5
6
7
7.5
8
8.5
8.8
9
9.5
10
10.5
11
12
13
13.5
14
15
16
17
18
19
20
20.5
21
21.5
22
23
24
25
25.5
26
27
28
29
30
30.1
31
31.5
32
33
34
35
35.6
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
52.5
53
54
55
56
57
58
59
60
61
61.4
62
63
64
65
66
67
68
69
70
72
73
74
75
76
77
78
79
79.2
79.5
80
81
84
85
86
87
88
89
90
91
92
93
94
95
96
97
100
101
102
104
105
106
106.5
107
108
109
110
111.2
115
117
118
120
121
124
125
126
128
130
132
135
138
140
141
142
143
144
145
146
147.5
148
150
152
153
154
155
156
157
158
160
165
167
170
175
176
177
180
182
185
186
187
189
190
192
193
196
200
200.5
203
205
207
210
212
214
217
220
222
224
225
228
229
230
231
232
235
236
238
240
241
241.5
244
245
248
250
255
257
259
260
265
266
270
280
282
284
285
288
290
293
294
297
300
305
306
309
310
320
322
324
326
330
335
336
338
340
343
345
350
352
360
362
366
370
372
373
375
380
382
390
400
403
405
408
410
415
420
425
430
432
440
450
455
456
460
467
470
473.5
480
490
492
495
500
501.5
505
510
520
525
529
530
536
540
549
550
552
560
570
580
581
590
600
605
610
640
650
661
670
675
676
680
684
685
688
690
694
700
706
710
720
725
726
733
740
745
750
755
765
770
780
782
788
800
810
817
837
840
850
860
861
870
875
880
900
908.5
938
940
950
960
980
990
1000
1014
1028
1040
1050
1060
1080
1090
1095
1100
1168
1200
1204
1230
1232
1260
1300
1310
1380
1400
1490
1500
1533
1600
1644
1700
1740
1780
1800
1810
1820
1890
1945
1980
2000
2060
2100
2200
2300
2400
2500
2501
2519
2585
2600
2700
2770
2800
2900
3000
3100
3130
3157
3200
3400
3500
3651
3675
3700
3800
3935
4000
4200
4500
4765
5000
5500
5700
6000
6700
7000
7250
7500
8000
9000
9050
10000
13000
15000
16000
21140
25000
36000
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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