National and Regional Economically Active Population - CEE 2018
- Written by Gary Watkins
- Published in Articles
WORKFORCE DISTRIBUTION
This section of the report covers the statistical distribution of the national and regional demographics of the Economically Active Population (EAP), which is contained in the Quarterly Labour Force Survey (QLFS) conducted and published by Statistics South Africa. The EAP includes people between the ages 15 to 64 years of age who are either employed or unemployed, and who are seeking employment. The EAP is used as a benchmark to assist employers in the analysis of their workforce to determine the degree of under-representation of the designated groups. The benchmark furthermore guides employers in the setting of self-imposed numerical goals and targets towards achieving an equitable and representative workforce. The EAP for persons with disabilities remains unavailable from Statistics South Africa, and as a result this section is unable to provide benchmarks for this designated group.
Section 15 of the EEA requires designated employers to implement affirmative action measures designed to ensure that suitably qualified people from designated groups have equal opportunities to employment and are equitably represented in all occupational levels in the workforce of a designated employer.
NATIONAL ECONOMICALLY ACTIVE (EAP) BY POPULATION AND GENDER GROUP
|
Table 1: National EAP by Population and Gender Group |
||||||
|
AM |
African Male |
42.7% |
AF |
African Female |
35.8% |
78.5% |
|
CM |
Coloured Male |
5.2% |
CF |
Coloured Female |
4.4% |
9.6% |
|
IM |
Indian Male |
1.7% |
IF |
Indian Female |
1.1% |
2.8% |
|
WM |
White Male |
5.1% |
WF |
White Female |
4.0% |
9.1% |
|
|
54.7% |
|
45.3% |
100.0% |
||
(*Source: Statistics South Africa, (QLFS 3rd Quarter, 2017)
Please note that all figures in this report have been rounded to one decimal point.
PROVINCIAL ECONOMICALLY ACTIVE (EAP) BY POPULATION GROUP AND GENDER
|
TABLE 2: PROVINCIAL EAP BY POPULATION AND GENDER GROUP |
||||||
|
GENDER |
AFRICAN |
COLOURED |
INDIAN |
WHITE |
TOTAL |
|
|
Eastern Cape |
Male |
42.3% |
4.8% |
0.5% |
3.7% |
51.3% |
|
Female |
40.1% |
4.7% |
0.3% |
3.6% |
48.7% |
|
|
TOTAL |
82.4% |
9.5% |
0.8% |
7.3% |
100.0% |
|
|
Free State |
Male |
49.2% |
1.6% |
0.7% |
4.4% |
55.9% |
|
Female |
40.3% |
1.0% |
0.1% |
2.6% |
44.1% |
|
|
TOTAL |
89.5% |
2.6% |
0.8% |
7.0% |
100.0% |
|
|
Gauteng |
Male |
44.6% |
2.0% |
1.8% |
7.1% |
55.5% |
|
Female |
36.2% |
1.5% |
1.2% |
5.6% |
44.5% |
|
|
TOTAL |
80.8% |
3.5% |
3% |
12.7% |
100.0% |
|
|
KwaZulu-Natal |
Male |
43.7% |
0.2% |
5.3% |
2.2% |
51.5% |
|
Female |
42.9% |
0.5% |
3.5% |
1.6% |
48.5% |
|
|
TOTAL |
86.6% |
0.7% |
8.8% |
3.8% |
100.0% |
|
|
Limpopo |
Male |
52.0% |
0.2% |
1.0% |
2.1% |
55.4% |
|
Female |
43.1% |
0.4% |
0.1% |
1.0% |
44.6% |
|
|
TOTAL |
95.1% |
0.6% |
1.1% |
3.1% |
100.0% |
|
|
Mpumalanga |
Male |
52.0% |
0.2% |
0.6% |
3.2% |
56.0% |
|
Female |
41.7% |
0.1% |
0.3% |
1.9% |
44.0% |
|
|
TOTAL |
93.7% |
0.3% |
0.9% |
5.1% |
100.0% |
|
|
North West |
Male |
54.8% |
0.6% |
0.4% |
3.9% |
59.7% |
|
Female |
36.2% |
0.9% |
0.1% |
3.1% |
40.3% |
|
|
TOTAL |
91.0% |
1.5% |
0.5% |
7.0% |
100.0% |
|
|
Northern Cape |
Male |
27.3% |
22.9% |
0.2% |
4.4% |
54.9% |
|
Female |
21.1% |
20.8% |
0.0% |
3.2% |
45.1% |
|
|
TOTAL |
48.4% |
43.7% |
0.2% |
7.6% |
100.0% |
|
|
Western Cape |
Male |
20.9% |
25.1% |
0.6% |
8.4% |
55.0% |
|
Female |
16.8% |
20.8% |
0.3% |
7.1% |
45.0% |
|
|
TOTAL |
37.7% |
45.9% |
0.9% |
15.5% |
100.0% |
|
(*Source: Statistics South Africa, (QLFS 3rd Quarter, 2017)
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Gary Watkins
Gary Watkins
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BA LLB
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