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SETP No. 14 The Economic Value of Incremental Employment in the ...

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3.41 Table 3.11 reports on <strong>the</strong> prov<strong>in</strong>cial distribution <strong>of</strong> labourers and average<br />

salaries paid. In contrast to all o<strong>the</strong>r occupations reported <strong>in</strong> this section, <strong>the</strong><br />

Western Cape boasts <strong>the</strong> greatest number <strong>of</strong> construction labourers – nearly<br />

30,000 <strong>in</strong> 1996. Gauteng is less than half this number – a little under <strong>14</strong>,000.<br />

Average wages varied between R20,000 a year <strong>in</strong> Gauteng (2000 values),<br />

R17,500 <strong>in</strong> <strong>the</strong> Western Cape and a lowest average <strong>in</strong> <strong>the</strong> <strong>No</strong>r<strong>the</strong>rn Cape <strong>of</strong><br />

R<strong>14</strong>,000.<br />

Table 3-11<br />

Average Salaries paid to 'elementary occupations' 1 <strong>in</strong> Construction<br />

Unadjusted Averages<br />

Number 1996 values 2000 values<br />

<strong>in</strong> sample Monthly Monthly Annual<br />

Western Cape 29,237 1,080 1,460 17,524<br />

Eastern Cape 8,159 925 1,251 15,009<br />

<strong>No</strong>r<strong>the</strong>rn Cape 2,246 878 1,188 <strong>14</strong>,252<br />

Free State 4,497 1,071 1,449 17,391<br />

KwaZulu-Natal 9,604 952 1,288 15,456<br />

<strong>No</strong>rth West 4,687 1,026 1,388 16,654<br />

Gauteng 13,971 1,257 1,701 20,409<br />

Mpumalanga 4,854 1,044 1,412 16,949<br />

<strong>No</strong>r<strong>the</strong>rn Prov<strong>in</strong>ce 5,191 1,050 1,420 17,036<br />

Source: SA Community Pr<strong>of</strong>ile - Census 1996. Extracted with Super Table<br />

<strong>No</strong>te: 'Elemenetary occupations' is a census def<strong>in</strong>ition . It is made up <strong>of</strong> semi and unskilled labour.<br />

3.42 Figure 3.11 illustrates <strong>the</strong> distribution <strong>of</strong> wages <strong>in</strong> <strong>the</strong> elementary occupations <strong>in</strong><br />

<strong>the</strong> construction <strong>in</strong>dustry. With <strong>the</strong> possible exception <strong>of</strong> <strong>the</strong> <strong>No</strong>r<strong>the</strong>rn Prov<strong>in</strong>ce,<br />

we f<strong>in</strong>d little difference <strong>in</strong> <strong>the</strong> distribution <strong>of</strong> wages paid to construction labourers<br />

with <strong>the</strong> most common wage paid rang<strong>in</strong>g from R500 to R1000 a month. In <strong>the</strong><br />

<strong>No</strong>r<strong>the</strong>rn Prov<strong>in</strong>ce <strong>the</strong>re are more or less as many labourers earn<strong>in</strong>g between<br />

R200 and R500 a month as <strong>the</strong>re are earn<strong>in</strong>g between R500 and R1000 and<br />

between R1000 and R1500. We suspect <strong>the</strong>re is a problem with <strong>the</strong> underly<strong>in</strong>g<br />

data.<br />

3.43 It will be clear that <strong>the</strong> data problems that were encountered <strong>in</strong> determ<strong>in</strong><strong>in</strong>g<br />

average national salaries – labourers and craft workers report<strong>in</strong>g to have been<br />

paid similar wages – are also be<strong>in</strong>g found <strong>in</strong> <strong>the</strong> prov<strong>in</strong>cial results. <strong>The</strong> only<br />

exception to this is <strong>the</strong> Western Cape were salaries differences between craft<br />

workers and labourers are those than were <strong>in</strong>tuitively expected. Hence <strong>the</strong> same<br />

correction procedure was applied to <strong>the</strong> prov<strong>in</strong>cial data to determ<strong>in</strong>e a range <strong>of</strong><br />

potential salaries between two extreme positions. <strong>The</strong>se adjustments are<br />

reported <strong>in</strong> Table 3.12 below.<br />

20

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