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National and Regional Economically Active Population - CEE 2018

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)

 

Last modified onSunday, 30 September 2018 22:32

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Gary Watkins

Gary Watkins

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