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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / ZAF_2007_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2007

South Africa, 2007
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Reference ID
ZAF_2007_ES_v01_M_WB
DOI
https://doi.org/10.48529/pgfq-dp77
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
May 17, 2011
Last modified
Sep 26, 2013
Page views
31241
Downloads
4213
  • Study Description
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  • South
    Africa-2007--full
    data-

replacement cost (AFn7c)

Data file: South Africa-2007--full data-

Overview

Valid: 680
Invalid: 377
Type: Discrete
Decimal: 0
Start: 1203
End: 1212
Width: 10
Range: -9 - 3500000000
Format: Numeric

Questions and instructions

Literal question
In 2006, what would have been the cost of replacing all your machinery and equipment with new machines?
Categories
Value Category Cases
-9 Don't know 0
0%
-8 Refused to answer 0
0%
-7 Not applicable 0
0%
-6 Still in process 0
0%
-5 Application denied 0
0%
-4 Skipped 0
0%
-3 Not provided 0
0%
10000 1
0.1%
15000 1
0.1%
28000 1
0.1%
50000 1
0.1%
55000 4
0.6%
65000 2
0.3%
70000 1
0.1%
73000 1
0.1%
80000 2
0.3%
90000 1
0.1%
95000 2
0.3%
100000 3
0.4%
106000 1
0.1%
110000 1
0.1%
120000 5
0.7%
150000 4
0.6%
175000 1
0.1%
180000 1
0.1%
200000 3
0.4%
250000 3
0.4%
300000 8
1.2%
320000 1
0.1%
330000 1
0.1%
335000 1
0.1%
336000 1
0.1%
350000 5
0.7%
360000 1
0.1%
380000 1
0.1%
400000 9
1.3%
420000 2
0.3%
430000 1
0.1%
450000 9
1.3%
500000 22
3.2%
520000 2
0.3%
536000 1
0.1%
540000 1
0.1%
550000 3
0.4%
600000 7
1%
633909 1
0.1%
646500 1
0.1%
650000 4
0.6%
675000 1
0.1%
700000 11
1.6%
750000 7
1%
800000 7
1%
900000 3
0.4%
920000 1
0.1%
940000 1
0.1%
950000 2
0.3%
960000 1
0.1%
1000000 28
4.1%
1030000 1
0.1%
1100000 2
0.3%
1200000 6
0.9%
1250000 1
0.1%
1300000 2
0.3%
1350000 2
0.3%
1400000 3
0.4%
1500000 20
2.9%
1550000 1
0.1%
1600000 2
0.3%
1700000 3
0.4%
1800000 3
0.4%
2000000 24
3.5%
2200000 3
0.4%
2250000 1
0.1%
2400000 2
0.3%
2500000 11
1.6%
2600000 2
0.3%
2800000 3
0.4%
2900000 2
0.3%
3000000 25
3.7%
3200000 1
0.1%
3300000 1
0.1%
3450000 1
0.1%
3500000 7
1%
3600000 2
0.3%
3800000 1
0.1%
4000000 15
2.2%
4100000 1
0.1%
4500000 7
1%
4900000 1
0.1%
5000000 21
3.1%
5018000 1
0.1%
5200000 1
0.1%
5500000 2
0.3%
5850000 1
0.1%
6000000 16
2.4%
6500000 2
0.3%
7000000 9
1.3%
7500000 3
0.4%
8000000 13
1.9%
8500000 2
0.3%
9000000 7
1%
10000000 27
4%
10500000 1
0.1%
12000000 10
1.5%
13000000 1
0.1%
13500000 1
0.1%
14000000 1
0.1%
14600000 1
0.1%
15000000 23
3.4%
16000000 3
0.4%
17000000 2
0.3%
17500000 1
0.1%
18000000 1
0.1%
20000000 24
3.5%
21500000 1
0.1%
22000000 2
0.3%
23000000 1
0.1%
24000000 1
0.1%
25000000 6
0.9%
26000000 2
0.3%
27000000 1
0.1%
28000000 1
0.1%
30000000 12
1.8%
32000000 1
0.1%
33200000 1
0.1%
34000000 2
0.3%
35000000 6
0.9%
36000000 1
0.1%
37000000 1
0.1%
38000000 1
0.1%
40000000 5
0.7%
40400000 1
0.1%
45000000 4
0.6%
50000000 6
0.9%
55000000 3
0.4%
60000000 6
0.9%
60500000 1
0.1%
65000000 2
0.3%
70000000 3
0.4%
72000000 1
0.1%
75000000 2
0.3%
80000000 3
0.4%
85000000 1
0.1%
87500000 1
0.1%
92500000 1
0.1%
95000000 3
0.4%
100000000 10
1.5%
120000000 3
0.4%
135000000 1
0.1%
142000000 1
0.1%
148000000 1
0.1%
150000000 6
0.9%
160000000 3
0.4%
170000000 1
0.1%
175000000 1
0.1%
180000000 2
0.3%
183547326 1
0.1%
197000000 1
0.1%
200000000 4
0.6%
240000000 1
0.1%
250000000 4
0.6%
260000000 1
0.1%
300000000 2
0.3%
310000000 1
0.1%
400000000 4
0.6%
406000000 1
0.1%
450000000 5
0.7%
500000000 11
1.6%
560000000 1
0.1%
600000000 2
0.3%
615000000 1
0.1%
720000000 1
0.1%
750000000 1
0.1%
800000000 1
0.1%
900000000 2
0.3%
1000000000 4
0.6%
1185000000 1
0.1%
1200000000 1
0.1%
1500000000 1
0.1%
2500000000 1
0.1%
3000000000 1
0.1%
3500000000 1
0.1%
Sysmiss 377
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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