Quarterly Labour Force Survey - Statistics South Africa

Statistical release P0211

Quarterly Labour Force Survey Quarter 3, 2010

Embargoed until: 26 October 2010 11:30

Enquiries: User Information Services Tel: (012) 310 8600 / 4892 / 8390

Forthcoming issue: Quarter 4, 2010

Expected release date February 2011

Statistics South Africa

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Published by Statistics South Africa, Private Bag X44, Pretoria 0001 © Statistics South Africa, 2010 Users may apply or process this data, provided Statistics South Africa (Stats SA) is acknowledged as the original source of the data; that it is specified that the application and/or analysis is the result of the user’s independent processing of the data; and that neither the basic data nor any reprocessed version or application thereof may be sold or offered for sale in any form whatsoever without prior permission from Stats SA. Stats SA Library Cataloguing-in-Publication (CIP) Data Quarterly Labour Force Survey Quarter 3, 2010/Statistics South Africa. Pretoria: Statistics South Africa, 2010 Quarterly 1. Labour supply – Statistics 2. Labour supply (South Africa) 3. Unemployment (South Africa) 4. Informal sector (Economics) – South Africa 5. Formal sector (Economics) – South Africa I. Statistics South Africa II. Series (LCSH 16) A complete set of Stats SA publications is available at Stats SA Library and the following libraries: National Library of South Africa, Pretoria Division National Library of South Africa, Cape Town Division Library of Parliament, Cape Town Bloemfontein Public Library Natal Society Library, Pietermaritzburg Johannesburg Public Library Eastern Cape Library Services, King William's Town Central Regional Library, Polokwane Central Reference Library, Nelspruit Central Reference Collection, Kimberley Central Reference Library, Mmabatho This publication is available both in hard copy and on the Stats SA website www.statssa.gov.za. The data and metadata set from the Quarterly Labour Force Survey will be available on CD-ROM. A charge may be made according to the pricing policy, which can be accessed on the website. Stats SA also provides a subscription service. Enquiries: Tel: Fax: Email:

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Quarterly Labour Force Survey, Quarter 3, 2010


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Table of contents Page List of tables in highlights of the results ..........................................................................................................iii List of figures in highlights of the results.........................................................................................................iii List of tables....................................................................................................................................................iv 1.

Introduction .........................................................................................................................................vi

2.

Highlights of the results.......................................................................................................................vi

3.

Employment .......................................................................................................................................vii

4.

The unemployed population................................................................................................................xi

5.

Characteristics of the not economically active population ................................................................ xiii

6.

Technical notes.................................................................................................................................xiv

6.1.

Response details ..............................................................................................................................xiv

6.2.

Survey requirements and design .......................................................................................................xv

6.3.

Sample rotation..................................................................................................................................xv

6.4.

Weighting ...........................................................................................................................................xv

6.5.

Non-response adjustment..................................................................................................................xv

6.6.

Final survey weights .........................................................................................................................xvi

6.7.

Estimation .........................................................................................................................................xvi

6.8.

Reliability of the survey estimates.....................................................................................................xvi

7.

Definitions ........................................................................................................................................ xvii



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List of tables in highlights of the results Page Table A: Key labour market indicators........................................................................................................ vi Table B: Employment by industry .............................................................................................................. vii Table C: Employment by province.............................................................................................................viii Table D: Employment by occupation ........................................................................................................... x Table E: The unemployed by sex ............................................................................................................... xi Table F: Characteristics of the unemployed .............................................................................................. xii Table G: The not economically active........................................................................................................xiii Table H: Response rates by province....................................................................................................... xiv

List of figures in highlights of the results Figure 1: Total employment, quarter 3: 2009 to quarter 3: 2010 ............................................................... vii Figure 2: Quarter-to-quarter change in employment, quarter 3: 2009 to quarter 3: 2010.......................... vii Figure 3: Changes in formal sector employment by industry...................................................................... ix Figure 4: Changes in informal sector employment by industry.................................................................... x Figure 5: Unemployment rate by province.................................................................................................. xi Figure 6: Unemployment rate by population group.................................................................................... xii



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List of tables Page Table 1: Population of working age (15-64 years) .......................................................................................... 1 Table 2: Labour force characteristics by sex - All population groups ............................................................. 2 Table 2: Labour force characteristics by sex - All population groups (concluded).......................................... 3 Table 2.1: Labour force characteristics by population group .......................................................................... 4 Table 2.1: Labour force characteristics by population group (concluded) ...................................................... 5 Table 2.2: Labour force characteristics by province ....................................................................................... 6 Table 2.2: Labour force characteristics by province (continued) .................................................................... 7 Table 2.2: Labour force characteristics by province (continued) .................................................................... 8 Table 2.2: Labour force characteristics by province (continued) .................................................................... 9 Table 2.2: Labour force characteristics by province (concluded) ................................................................. 10 Table 2.3: Labour force characteristics by province (expanded definition of unemployment) ...................... 11 Table 3.1: Employed by industry and sex - South Africa .............................................................................. 16 Table 3.2: Employed by industry and province............................................................................................. 17 Table 3.2: Employed by industry and province (continued).......................................................................... 18 Table 3.2: Employed by industry and province (continued).......................................................................... 19 Table 3.2: Employed by industry and province (concluded) ......................................................................... 20 Table 3.3: Employed by sector and industry - South Africa.......................................................................... 21 Table 3.4: Employed by province and sector................................................................................................ 22 Table 3.4: Employed by province and sector (concluded)............................................................................ 23 Table 3.5: Employed by sex and occupation - South Africa ......................................................................... 24 Table 3.6: Employed by sex and status in employment - South Africa......................................................... 25 Table 3.7: Employed by sex and usual hours of work - South Africa ........................................................... 26 Table 3.8: Time-related underemployment - South Africa ............................................................................ 27 Table 4: Characteristics of the unemployed - South Africa........................................................................... 28 Table 4: Characteristics of the unemployed - South Africa (concluded)....................................................... 29 Table 5: Characteristics of the not economically active - South Africa ......................................................... 30 Table 6: Socio-demographic characteristics - South Africa .......................................................................... 31 Table 6: Socio-demographic characteristics - South Africa (continued) ....................................................... 32 Table 6: Socio-demographic characteristics - South Africa (concluded) ...................................................... 33 Table 7: Involvement in non-market activities and labour market status by province................................... 34 Table 7: Involvement in non-market activities and labour market status by province (continued)................ 35 Table 7: Involvement in non-market activities and labour market status by province (concluded) ............... 36



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Appendix 2A: Sampling variability for labour force characteristics by sex…………………………..………37 Appendix 2A: Sampling variability for labour force characteristics by sex (Concluded)...…………………38 Appendix 2.1A: Sampling variability for labour force characteristics by population group.........................39 Appendix 2.1A: Sampling variability for labour force characteristics by population group (Concluded) ....40 Appendix 2.2A: Sampling variability for labour force characteristics by province (continued) ...................41 Appendix 2.2A: Sampling variability for labour force characteristics by province (continued) ...................42 Appendix 2.2A: Sampling variability for labour force characteristics by province (continued) ...................43 Appendix 2.2A: Sampling variability for labour force characteristics by province (continued) ...................44 Appendix 2.2A: Sampling variability for labour force characteristics by province (Concluded) .................45 Appendix 3.1A: Sampling variability for the employed by industry and sex...............................................46 Appendix 3.4A: Sampling variability for the employed by province and sector .........................................47 Appendix 3.4A: Sampling variability for the employed by province and sector (Concluded) .....................48 Appendix 3.5A: Sampling variability for the employed by sex and occupation ..........................................49 Appendix 2B: Sampling variability for labour force characteristics by sex .................................................50 Appendix 2B: Sampling variability for labour force characteristics by sex (Concluded)...…………………51 Appendix 2.1B: Sampling variability for labour force characteristics by population group.........................52 Appendix 2.1B: Sampling variability for labour force characteristics by population group (Concluded) ....53 Appendix 2.2B: Sampling variability for labour force characteristics by province (continued) ...................54 Appendix 2.2B: Sampling variability for labour force characteristics by province (continued) ...................55 Appendix 2.2B: Sampling variability for labour force characteristics by province (continued) ...................56 Appendix 2.2B: Sampling variability for labour force characteristics by province (continued) ...................57 Appendix 2.2B: Sampling variability for labour force characteristics by province (Concluded) .................58 Appendix 3.1B: Sampling variability for the employed by industry and sex...............................................59 Appendix 3.4B: Sampling variability for the employed by province and sector .........................................60 Appendix 3.4B: Sampling variability for the employed by province and sector (Concluded) .....................61 Appendix 3.5B: Sampling variability for the employed by sex and occupation………………….…………..62



1.

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Introduction

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years and above who live in South Africa. However, this report only covers labour market activities of persons aged 15 to 64 years. This report presents the key findings of the QLFS conducted in July–September, 2010 (Q3:2010). Please note that the figures that were previously published have been revised to align them with the new population estimates released by Stats SA in July 2010.

2.

Highlights of the results

Table A: Key labour market indicators Qtr-toqtr change

Year-onyear change

Qtr-toYear-onqtr year change change Per cent

Jul–Sep 2009

Apr–Jun 2010

Jul–Sep 2010 Thousand

Population 15–64 yrs

31 562

31 946

32 072

126

510

0,4

1,6

Labour force

17 374

17 462

17 371

-91

-3

-0,5

0,0

Employed

13 133

13 061

12 975

-86

-158

-0,7

-1,2

Formal sector (non-agricultural)

9 291

9 088

9 043

-45

-248

-0,5

-2,7

Informal sector (non-agricultural)

2 029

2 186

2 172

-14

143

-0,6

7,0

Agriculture

660

630

640

10

-20

1,6

-3,0

1 154

1 157

1 119

-38

-35

-3,3

-3,0

4 241

4 401

4 396

-5

155

-0,1

3,7

14 188

14 485

14 702

217

514

1,5

3,6

1 654

1 938

2 033

95

379

4,9

22,9

12 534

12 547

12 669

122

135

1,0

1,1

Unemployment rate

24,4

25,2

25,3

0,1

0,9

Employed / population ratio (absorption)

41,6

40,9

40,5

-0,4

-1,1

Labour force participation rate

55,0

54,7

54,2

-0,5

-0,8

Private households Unemployed Not economically active Discouraged work-seekers Other (not economically active) Rates (%)

Due to rounding, numbers do not necessarily add up to totals.

The number of persons in the labour force decreased by 91 000 between Q2:2010 and Q3:2010. Table A shows that employment also decreased by 86 000 between Q2:2010 and Q3:2010 with the informal sector and the formal sector losing 45 000 and 14 000 jobs respectively; while Agriculture gained 10 000, and Private households lost some 38 000 jobs. The number of unemployed persons remained virtually unchanged between Q2:2010 and Q3:2010, while the number of discouraged work-seekers increased by 95 000, resulting in the unemployment rate also remaining unchanged between Q2:2010 (25,2%) and Q3:2010 (25,3%). Compared to Q3:2009, there was an annual decrease of 1,2% (158 000) in employment, an increase of 3,7% (155 000) in the number of unemployed persons, and an increase of 3,6% (514 000) in the number of persons who are not economically active – 379 000 of which are discouraged work-seekers. Quarterly Labour Force Survey, Quarter 3, 2010


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Employment

Figure 1: Total employment, quarter 3: 2009 to quarter 3: 2010

Thousand

13 300 13 250 13 200 13 150 13 100 13 050 13 000 12 950 12 900 12 850 12 800 Employed

Q3:2009

Q4:2009

Q1:2010

Q2:2010

Q3:2010

13 133

13 250

13 076

13 061

12 975

Figure 1 shows that the number of employed persons increased from 13,1 million in Q3:2009 to 13,3 million in Q4:2009 after which there was a decline in the three quarters that followed, to about 13 million in Q3:2010. The changes are reflected in Figure 2 (below), where an increase was only observed between Q3:2009 and Q4:2009. Figure 2: Quarter-to-quarter change in employment, quarter 3: 2009 to quarter 3: 2010

Thousand

150 100 50

- 50 - 100 - 150 - 200 Qrt to qrt changes

Q4:2009

Q1:2010

Q2:2010

Q3:2010

117

- 174

- 15

- 86



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Table B: Employment by industry Jul–Sep 2009 Total

Community and social services Private households


-86

-158

-0,7

-1,2

660

630

640

10

-20

1,6

-3,0

304

315

303

-12

-1

-3,8

-0,3

1 771

1 705

1 713

8

-58

0,5

-3,3

86

96

99

3

13

3,1

15,1

1 097

1 049

1 076

27

-21

2,6

-1,9

2 903

2 903

2 947

44

44

1,5

1,5

760

766

773

7

13

0,9

1,7

1 735

1 723

1 625

-98

-110

-5,7

-6,3

2 658

2 710

2 678

-32

20

-1,2

0,8

1 154

1 157

1 119

-38

-35

-3,3

-3,0

Transport Finance

Year-onyear change

12 975

Utilities

Trade

Qtr-to-qtr change

13 061

Mining

Construction


13 133

Agriculture

Manufacturing

Apr–Jun 2010

*Due to rounding, numbers do not necessarily add up to totals.

Table B indicates that between Q2:2010 and Q3:2010, some industries lost jobs while others created jobs, resulting in a net loss of 86 000 jobs across all industries. Most of the job losses were in Finance, which accounted for 98 000 of the job losses, followed by Private households (38 000), and Community and social services (32 000). Job gains were observed in Trade (44 000), Construction (27 000) and Agriculture (10 000). The year-on-year comparisons show that job losses were experienced in most industries except in Trade; Community & social services; Transport, and Utilities. Table C: Employment by province Jul–Sep 2009 Total

Apr–Jun 2010


Qtr-to-qtr change

Year-onyear change Per cent

Year-onyear change

Qtr-to-qtr change

13 133

13 061

12 975

-86

-158

-0,7

-1,2

Western Cape

1 790

1 793

1 754

-39

-36

-2,2

-2,0

Eastern Cape

1 278

1 274

1 306

32

28

2,5

2,2

Northern Cape

257

260

276

16

19

6,2

7,4

Free State

757

778

768

-10

11

-1,3

1,5

2 526

2 436

2 401

-35

-125

-1,4

-4,9

729

722

714

-8

-15

-1,1

-2,1

KwaZulu-Natal North West Gauteng

3 952

3 950

3 958

8

6

0,2

0,2

Mpumalanga

908

899

890

-9

-18

-1,0

-2,0

Limpopo

936

947

905

-42

-31

-4,4

-3,3


Table C shows that between Q2:2010 and Q3:2010, job losses were experienced in most provinces except Eastern Cape, Northern Cape and Gauteng, which gained 32 000, 16 000 and 8 000 jobs respectively. The biggest job losses were recorded in Limpopo (42 000), followed by Western Cape (39 000) and KwaZuluNatal (35 000).



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The year-on-year comparisons (Q3:2009 and Q3:2010) show that KwaZulu-Natal, Western Cape and Limpopo were the hardest hit provinces in terms of job losses, with KwaZulu-Natal recording 125 000 job losses, Western Cape recording 36 000 Limpopo recording 31 000 job losses out of the 158 000 job losses. Figure 3: Changes in formal sector employment by industry 60

Thousand

40 20 0 -20 -40 -60 -80 -100 -120 -140 Mining

Manufactu ring

Utilities

Construction

Trade

Transport

Finance

Community and social services

qrt to qrt

-16

22

2

30

34

3

-89

-26

Year or year

-4

-84

14

-68

5

-14

-124

33

#

QLFS mining figures are not robust and therefore the QES figures should be used.

Figure 3 shows that the formal sector lost 45 000 jobs between Q2:2010 and Q3:2010 with most of the jobs lost being in Finance (89 000), Community and social services (26 000) and Mining (16 000). All other industries recorded job gains where Trade recorded 34 000 jobs that were created, Construction (30 000), and Manufacturing (22 000) formal sector jobs in the same period. The year-on-year comparisons show a net loss of 248 000 jobs in the formal sector, with Finance, Manufacturing and Construction being the hardest hit with the loss of 124 000, 84 000 and 68 000 jobs respectively.



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Figure 4: Changes in informal sector employment by industry 60

Thousand

50

40

30

20

10

0

-10

-20 Mining

Manufactu ring

Qrt to Qrt

4

-13

Year-on-year

3

27

Utilities

Transport

Finance

Community and social services

Construction

Trade

0

-3

10

4

-9

-6

-1

48

39

27

14

-14

#

QLFS mining figures are not robust and therefore the QES figures should be used.

Figure 4 indicates that most industries lost informal sector jobs between Q2:2010 and Q3:2010 while a few created some jobs. Most job losses were in Manufacturing (13 000), Finance (9 000) and Community and social services (6 000); while jobs were created in Trade (10 000), Mining (4 000) and Transport (4 000) resulting in a net loss of 14 000 jobs across all industries over a quarter, Compared to Q3:2009, the informal sector gained 143 000 jobs in Q3:2010 with most of them being in Construction (48 000), Trade (39 000), Manufacturing (27 000) and Transport (27 000). Job losses were only recorded in Community and social services (14 000) while there was virtually no change in Utilities in the same period. Table D: Employment by occupation

Total Manager Professional


Qtr-toqtr change

Year-onyear change


Jul–Sep 2009

Apr–Jun 2010

13 133

13 061

12 975

-86

-158

-0,7

-1,2

1 023

1 009

1 069

60

46

5,9

4,5

722

756

705

-51

-17

-6,7

-2,4

Technician

1 518

1 433

1 418

-15

-100

-1,0

-6,6

Clerk

1 460

1 467

1 411

-56

-49

-3,8

-3,4

Sales and services

1 829

1 883

1 858

-25

29

-1,3

1,6

Skilled agriculture

72

115

76

-39

4

-33,9

5,6

Craft and related trade

1 619

1 590

1 607

17

-12

1,1

-0,7

Plant and machine operator

1 135

1 087

1 162

75

27

6,9

2,4

Elementary

2 852

2 828

2 782

-46

-70

-1,6

-2,5

904

892

887

-5

-17

-0,6

-1,9

Domestic worker




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Table D shows that individuals in most of the occupations lost jobs. Most of the job losses were in Clerical (56 000), Professional (51 000) and Elementary (46 000) occupations. Plant and machine operator, Manager and Craft and related trade were the only occupations that experienced job gains, with 75 000, 60 000 and 17 000 job gains recorded respectively between Q2:2010 and Q3:2010. The year-on-year comparisons show that almost all occupations experienced job losses resulting in a net loss of 158 000 jobs. Most of the job losses were in the Technician (100 000), Elementary (70 000) and Clerical (49 000) occupations. Some job gains were observed in the Managerial (46 000), Sales and services (29 000) and Plant and machine operator (27 000) occupations.

4.

The unemployed population

Table E: The unemployed by sex Jul–Sep 2009

Apr–Jun 2010

Unemployed


Year-onyear change

Qtr-to-qtr change

Year-onyear change Per cent

Qtr-to-qtr change

Total

4 241

4 401

4 396

-5

155

-0,1

3,7

Women

2 086

2 177

2 183

6

97

0,3

4,7

Men

2 155

2 224

2 214

-10

59

-0,4

2,7


Table E shows that between Q2:2010 and Q3:2010, the number of unemployed persons remained virtually unchanged, even when disaggregated by sex, with the number increasing by merely 6 000 among women and decreasing by only 10 000 among men. This resulted in a net decrease of 5 000 unemployed persons in Q3:2010. The year-on-year comparisons show that the number of unemployed persons increased by 155 000, with an annual increase of 2,7% among men and 4,7% among women. Figure 5: Unemployment rate by province %

35

30

25

20

15

10

5

0 Q3:2009 Q2:2010 Q3:2010

KZN

WC

LP

RSA

NC

GP

EC

NW

MP

FS

18,6

22,2

25,5

24,4

29,8

25,6

26,9

27,8

25,5

28,4

20,9 19,7

21,8 23,1

22,4 25,1

25,2 25,3

29,9 25,8

26,9 26,7

27,9 27,2

27,9 28,0

27,7 28,4

27,8 29,5



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Figure 5 shows a decrease in the unemployment rate in four of the nine provinces in Q3:2010 compared to Q2:2010. The biggest decrease in the unemployment rate was observed in Northern Cape (4,1 percentage points) and KwaZulu-Natal (1,2 percentage points). There was an increase in the unemployment rate in Limpopo, Free State and Western Cape (up by 2,7 percentage points, 1,7 percentage points and 1,3 percentage points respectively) between the two quarters. KwaZulu-Natal had the lowest unemployment rate (19,7%) recorded in the third quarter of 2010. The comparisons between Q3:2009 and Q3:2010 indicate that there was a substantial increase in the unemployment rate in Mpumalanga (up by 2,9 percentage points), Gauteng and Free State (up by 1,1 percentage points each). The provinces that experienced declines in the unemployment rate in the same period were Northern Cape (down by 4,0 percentage points) and Limpopo (down by 0,4 of a percentage point). Figure 6: Unemployment rate by population group 35,0

%

30,0

25,0

20,0

15,0

10,0

5,0

0,0

Black/African

Coloured

Indian/Asian

White

South Africa

Q3:2009

28,6

21,3

12,6

4,9

24,4

Q2:2010

29,4

22,6

10,2

6,4

25,2

Q3:2010

29,8

22,3

8,6

5,1

25,3

Figure 6 shows that between Q2:2010 and Q3:2010, the unemployment rate decreased among the Indian/Asian, white and coloured populations (up by 1,6, 1,3 percentage points and 0,3 of a percentage point respectively), but increased by 0,4 of a percentage point among the black Africans. The year-on-year comparisons show that the unemployment rate increased substantially among all population groups except among the Indian/Asian population where it decreased by 4,0 percentage points. Table F: Characteristics of the unemployed Jul–Sep 2009

Apr–Jun 2010

Unemployed


Year-onyear change

Qtr-to-qtr change

Qtr-to-qtr change

Year-onyear change

Per cent

Total

4 241

4 401

4 396

-5

155

-0,1

3,7

Job losers

1 488

1 471

1 376

-95

-112

-6,5

-7,5

340

290

260

-30

-80

-10,3

-23,5

Job leavers New entrants

1 633

1 819

1 944

125

311

6,9

19,0

Re-entrants

195

206

184

-22

-11

-10,7

-5,6

Other

584

615

632

17

48

2,8

8,2



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Table F shows that between Q2:2010 and Q3:2010 there was an increase in the number of new entrants (125 000) while decreases were observed among job losers (95 000), job leavers (30 000) and re-entrants (22 000). Compared to a year ago, the number of new entrants increased by 311 000 while the number of job losers, job leavers and re-entrants into unemployment decreased by 112 000, 80 000 and 11 000 respectively in Q3:2010.

5.

Characteristics of the not economically active population

Table G: The not economically active

Not economically active Total

Jul–Sep 2009

Apr–Jun 2010


Qtr-to-qtr change

Year-onyear change

Yearon-year change Per cent

Qtr-to-qtr change

14 188

14 485

14 702

217

514

1,5

3,6

Student

5 942

6 009

6 096

87

154

1,4

2,6

Homemaker

2 787

2 894

2 897

3

110

0,1

3,9

Illness/disability

1 826

1 805

1 807

2

-19

0,1

-1,0

Too old/young to work

1 106

1 122

1 156

34

50

3,0

4,5

Discouraged

1 654

1 938

2 033

95

379

4,9

22,9

873

717

714

-3

-159

-0,4

-18,2

Other

Due to rounding, numbers do not necessarily add up to totals.

Table G shows that between Q2:2010 and Q3:2010, the number of discouraged work-seekers, students who were not economically active, and those who were too old or too young to work increased by 95 000, 87 000, and 34 000 respectively. The year-on-year changes indicate that there was an overall increase in the number of economically inactive persons (514 000 or 3,6%) of which 379 000 or 22,9% were discouraged work-seekers, 154 000 were students and 110 000 were homemakers. The number of persons who were inactive because of illness or disability decreased by 19 000 in the same period.

PJ Lehohla Statistician-General: Statistics South Africa



6.

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Technical notes

6.1. Response details Table H: Response rates by province Jul–Sep 2010 Province Western Cape Eastern Cape Northern Cape Free State KwaZulu-Natal North West Gauteng Mpumalanga Limpopo South Africa

Per cent 89,8 98,9 93,1 98,0 95,5 97,9 85,2 94,7 99,3 94,1



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6.2. Survey requirements and design The Quarterly Labour Force Survey (QLFS) frame has been developed as a general-purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter. The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA’s household-based surveys use a master sample of primary sampling units (PSUs) which comprises EAs that are drawn from across the country. The sample is designed to be representative at provincial level and within provinces at metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro. The current sample size is 3 080 PSUs. It is divided equally into four subgroups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group. The sample for the redesigned Labour Force Survey (i.e. the QLFS) is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. 6.3. Sample rotation Each quarter, a ¼ of the sampled dwellings rotate out of the sample and are replaced by new dwellings from the same PSU or the next PSU on the list. Thus, sampled dwellings will remain in the sample for four consecutive quarters. It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, say two quarters, and a new household moves in, the new household will be enumerated for the next two quarters. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (unoccupied). 6.4. Weighting The sampling weights for the data collected from the sampled households are constructed in such a manner that the responses could be properly expanded to represent the entire civilian population of South Africa. The weights are the result of calculations involving several factors, including original selection probabilities, adjustment for non-response, and benchmarking to known population estimates from the Demographic division of Stats SA. 6.5. Non-response adjustment In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failure (i.e. invalid or inconsistent responses). The eligible households in the sampled dwellings can be divided into two response categories: respondents and non-respondents; and weight adjustment is applied to account for the non-respondent households (e.g. refusal, no contact, etc.).



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6.6. Final survey weights The final survey weights are constructed using regression estimation to calibrate to the known population counts at the national level population estimates (which are supplied by the Demography division) crossclassified by 5-year age groups, gender and race, and provincial population estimates by broad age groups. The 5-year age groups are: 0–4, 5–9, 10–14, etc., and 65 and over. The provincial-level age groups are: 0–14, 15–34, 35–64, and 65 years and over. The calibrated weights are constructed such that all persons in a household would have the same final weight. 6.7. Estimation The final survey weights are used to obtain the estimates for various domains of interest, e.g. number of persons employed in agriculture in the province of Western Cape, number of females employed in manufacturing, etc. 6.8. Reliability of the survey estimates Because estimates are based on sample data, they differ from figures that would have been obtained from complete enumeration of the population using the same instrument. Results are subject to both sampling and non-sampling errors. Non-sampling errors include biases from inaccurate reporting, processing, and tabulation, etc., as well as errors from non-response and incomplete reporting. These types of errors cannot be measured readily. However, to the extent possible, non-sampling errors can be minimised through the procedures used for data collection, editing, quality control, and non-response adjustment. The variances of the survey estimates are used to measure sampling errors. The variance estimation methodology is discussed below. (i) Variance estimation The most commonly used methods for estimating variances of survey estimates from complex surveys such as the QLFS, are the Taylor-series Linearization, Jackknife Replication, Balanced Repeated Replication (BRR), and Bootstrap methods (Wolter, 2007)1. The Fay’s BRR method has been used for variance estimation in the QLFS because of its simplicity. (ii) Coefficient of variation It is more useful in many situations to assess the size of the standard error relative to the magnitude of the characteristic being measured (the standard error is defined as the square root of the variance). The coefficient of variation ( cv ) provides such a measure. It is the ratio of the standard error of the survey estimate to the value of the estimate itself expressed as a percentage. It is very useful in comparing the precision of several different survey estimates, where their sizes or scale differ from one another. (iii) P-value of an estimate of change The p-value corresponding to an estimate of change is the probability of observing a value larger than the particular observed value under the hypothesis that there is no real change. If p-value 0,05, the difference is not significant.

1

nd

Wolter KM, 2007. Introduction to Variance Estimation, 2 Edition. New York: Springer-Verlag.



7.

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Definitions

Discouraged work-seeker is a person who was not employed during the reference period, wanted to work, was available to work/start a business but did not take active steps to find work during the last four weeks, provided that the main reason given for not seeking work was any of the following: no jobs available in the area; unable to find work requiring his/her skills; lost hope of finding any kind of work. Economic activities are those that contribute to the production of goods and services in the country. There are two types of economic activities, and they are: (1) Market production activities (work done for others and usually associated with pay or profit); and (2) Non-market production activities (work done for the benefit of the household, e.g. subsistence farming). Employed persons are those aged 15–64 years who, during the reference week: did any work for at least one hour; or had a job or business but were not at work (temporarily absent). Employment-to-population ratio (labour absorption rate) is the proportion of the working-age population that is employed. Informal employment identifies persons who are in precarious employment situations irrespective of whether or not the entity for which they work is in the formal or informal sector. Persons in informal employment therefore consist of all persons in the informal sector; employees in the formal sector; and persons working in private households who are not entitled to basic benefits such as pension or medical aid contributions from their employer, and who do not have a written contract of employment. Informal sector: The informal sector has the following two components: i)

Employees working in establishments that employ less than five employees, who do not deduct income tax from their salaries/wages; and

ii) Employers, own-account workers and persons helping unpaid in their household business who are not registered for either income tax or value-added tax. The labour force comprises all persons who are employed plus all persons who are unemployed. Labour force participation rate is the proportion of the working-age population that is either employed or unemployed. Long-term unemployment: Persons in long-term unemployment are those individuals among the unemployed who were without work and trying to find a job or start a business for one year or more. Not economically active: Persons aged 15–64 years who are neither employed nor unemployed in the reference week. Persons in underemployment (time-related) are employed persons who were willing and available to work additional hours, whose total number of hours actually worked during the reference period was below 35 hours per week. Underutilised labour comprises three groups as follows: persons who are underemployed, persons who are unemployed, and persons who are discouraged. Unemployed persons are those (aged 15–64 years) who: a) Were not employed in the reference week and; b) Actively looked for work or tried to start a business in the four weeks preceding the survey interview and; c) Were available for work, i.e. would have been able to start work or a business in the reference week or; d) Had not actively looked for work in the past four weeks but had a job or business to start at a definite date in the future and were available. Unemployment rate is the proportion of the labour force that is unemployed. The working-age population comprises all persons aged 15–64 years. Quarterly Labour Force Survey, Quarter 3, 2010


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Appendix 1 Table 1: Population of working age (15-64 years) Jul-Sep 2009 Thousand

Oct-Dec 2009 Thousand

Jan-Mar 2010 Thousand

Apr-Jun 2010 Thousand

Jul-Sep 2010 Thousand

Qrt-to-Qrt change Thousand

Year-on-year change Thousand

Qrt-to-qrt change Percent

Year-onyear change Percent

Both sexes Women Men

31 562 16 311 15 251

31 689 16 367 15 322

31 818 16 422 15 396

31 946 16 481 15 465

32 072 16 537 15 536

126 56 71

510 226 285

0,4 0,3 0,5

1,6 1,4 1,9

Population groups Black Coloured Indian White

31 562 24 546 2 966 899 3 151

31 689 24 668 2 975 903 3 144

31 818 24 796 2 983 906 3 133

31 946 24 913 2 994 910 3 130

32 072 25 033 3 003 914 3 122

126 120 9 4 -8

510 487 37 15 -29

0,4 0,5 0,3 0,4 -0,3

1,6 2,0 1,2 1,7 -0,9

RSA 31 562 31 689 Western Cape 3 335 3 349 Eastern Cape 4 072 4 087 Northern Cape 706 707 Free State 1 845 1 849 KwaZulu Natal 6 544 6 574 North West 1 995 2 001 Gauteng 7 583 7 612 Mpumalanga 2 257 2 267 Limpopo 3 225 3 243 Due to rounding, numbers do not necessarily add up to totals.

31 818 3 363 4 102 709 1 853 6 604 2 007 7 642 2 277 3 261

31 946 3 376 4 117 711 1 856 6 635 2 013 7 672 2 287 3 279

32 072 3 390 4 131 713 1 860 6 664 2 019 7 702 2 297 3 296

126 14 14 2 4 29 6 30 10 17

510 55 59 7 15 120 24 119 40 71

0,4 0,4 0,3 0,3 0,2 0,4 0,3 0,4 0,4 0,5

1,6 1,6 1,4 1,0 0,8 1,8 1,2 1,6 1,8 2,2



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Table 2: Labour force characteristics by sex - All population groups

Both sexes Population 15-64 yrs Labour Force Employed Formal sector (Non- agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

31 562 17 374 13 133 9 291 2 029 660 1 154 4 241 14 188 1 654 12 534

31 689 17 476 13 250 9 344 2 154 624 1 129 4 226 14 213 1 710 12 503

31 818 17 471 13 076 9 197 2 054 658 1 167 4 395 14 346 1 870 12 476

31 946 17 462 13 061 9 088 2 186 630 1 157 4 401 14 485 1 938 12 547

32 072 17 371 12 975 9 043 2 172 640 1 119 4 396 14 702 2 033 12 669

126 -91 -86 -45 -14 10 -38 -5 217 95 122

510 -3 -158 -248 143 -20 -35 155 514 379 135

24,4 41,6 55,0

24,2 41,8 55,1

25,2 41,1 54,9

25,2 40,9 54,7

25,3 40,5 54,2

0,1 -0,4 -0,5

0,9 -1,1 -0,8

16 422 7 877 5 710 3 704 879 243 884 2 167 8 545 1 052 7 493

16 481 7 853 5 675 3 629 934 215 897 2 177 8 628 1 078 7 550

16 537 7 784 5 601 3 619 902 202 879 2 183 8 752 1 156 7 597

56 -69 -74 -10 -32 -13 -18 6 124 78 47

226 -83 -181 -138 -3 -19 -20 97 309 227 83

27,5 34,8 48,0

27,7 34,4 47,6

28,0 33,9 47,1

0,3 -0,5 -0,5

1,5 -1,5 -1,1

Women Population 15-64 yrs 16 311 16 367 Labour Force Employed 5 782 5 792 Formal sector (Non-agricultural) 3 757 3 772 Informal sector (Non-agricultural) 905 940 Agriculture 221 208 Private households 899 873 Unemployed 2 086 2 046 Not economically active 8 443 8 529 Discouraged work-seekers 929 996 Other(not economically active) 7 514 7 533 Rates (%) Unemployment rate 26,5 26,1 Employed / population ratio (Absorption) 35,4 35,4 Labour force participation rate 48,2 47,9 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,4 -0,5 -0,7 -0,5 -0,6 1,6 -3,3 -0,1 1,5 4,9 1,0

1,6 0,0 -1,2 -2,7 7,0 -3,0 -3,0 3,7 3,6 22,9 1,1

0,3 -0,9 -1,3 -0,3 -3,4 -6,0 -2,0 0,3 1,4 7,2 0,6

1,4 -1,1 -3,1 -3,7 -0,3 -8,6 -2,2 4,7 3,7 24,4 1,1



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Table 2: Labour force characteristics by sex - All population groups (concluded) Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

15 396 9 595 7 367 5 493 1 175 415 284 2 228 5 801 818 4 983

15 465 9 609 7 385 5 459 1 252 415 259 2 224 5 856 860 4 996

15 536 9 587 7 373 5 424 1 270 438 241 2 214 5 949 877 5 072

71 -22 -12 -35 18 23 -18 -10 93 17 76

285 81 21 -110 146 -1 -14 59 204 152 52

23,2 47,9 62,3

23,1 47,8 62,1

23,1 47,5 61,7

0,0 -0,3 -0,4

0,4 -0,7 -0,6

Men Population 15-64 yrs 15 251 15 322 Labour Force 9 506 9 638 Employed 7 352 7 458 Formal sector (Non-agricultural) 5 534 5 571 Informal sector (Non-agricultural) 1 124 1 215 Agriculture 439 416 Private households 255 256 Unemployed 2 155 2 180 Not economically active 5 745 5 684 Discouraged work-seekers 725 714 Other(not economically active) 5 020 4 970 Rates (%) Unemployment rate 22,7 22,6 Employed / population ratio (Absorption) 48,2 48,7 Labour force participation rate 62,3 62,9 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.

0,5 -0,2 -0,2 -0,6 1,4 5,5 -6,9 -0,4 1,6 2,0 1,5


1,9 0,9 0,3 -2,0 13,0 -0,2 -5,5 2,7 3,6 21,0 1,0



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Table 2.1: Labour force characteristics by population group

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Black/African Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

31 562 17 374 13 133 4 241 14 188

31 689 17 476 13 250 4 226 14 213

31 818 17 471 13 076 4 395 14 346

31 946 17 462 13 061 4 401 14 485

32 072 17 371 12 975 4 396 14 702

126 -91 -86 -5 217

510 -3 -158 155 514

24,4 41,6 55,0

24,2 41,8 55,1

25,2 41,1 54,9

25,2 40,9 54,7

25,3 40,5 54,2

0,1 -0,4 -0,5

0,9 -1,1 -0,8

24 546 12 798 9 134 3 664 11 748

24 668 12 858 9 193 3 665 11 810

24 796 12 808 9 021 3 787 11 988

24 913 12 846 9 071 3 775 12 067

25 033 12 788 8 975 3 813 12 245

120 -58 -96 38 178

487 -10 -159 149 497

28,6 37,2 52,1

28,5 37,3 52,1

29,6 36,4 51,7

29,4 36,4 51,6

29,8 35,9 51,1

0,4 -0,5 -0,5

1,2 -1,3 -1,0

2 975 1 934 1 534 400 1 041

2 983 1 947 1 521 426 1 036

2 994 1 920 1 487 433 1 074

3 003 1 917 1 490 427 1 086

9 -3 3 -6 12

37 7 -13 20 30

20,7 51,6 65,0

21,9 51,0 65,3

22,6 49,7 64,1

22,3 49,6 63,8

-0,3 -0,1 -0,3

1,0 -1,1 -0,6

Coloured Population 15-64 yrs 2 966 Labour Force 1 910 Employed 1 503 Unemployed 407 Not economically active 1 056 Rates (%) Unemployment rate 21,3 Employed / population ratio (Absorption) 50,7 Labour force participation rate 64,4 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,4 -0,5 -0,7 -0,1 1,5

1,6 0,0 -1,2 3,7 3,6

0,5 -0,5 -1,1 1,0 1,5

2,0 -0,1 -1,7 4,1 4,2

0,3 -0,2 0,2 -1,4 1,1

1,2 0,4 -0,9 4,9 2,8



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Table 2.1: Labour force characteristics by population group (concluded)

Indian/Asian Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

899 522 456 66 377

903 508 451 57 395

906 533 483 50 374

910 550 494 56 361

914 568 518 49 347

4 18 24 -7 -14

15 46 62 -17 -30

12,6 50,7 58,1

11,2 49,9 56,3

9,4 53,3 58,8

10,2 54,3 60,4

8,6 56,7 62,0

-1,6 2,4 1,6

-4,0 6,0 3,9

3 144 2 177 2 071 106 967

3 133 2 183 2 051 132 949

3 130 2 146 2 009 137 983

3 122 2 098 1 991 107 1 024

-8 -48 -18 -30 41

-29 -46 -49 3 17

4,9 65,9 69,2

6,0 65,5 69,7

6,4 64,2 68,6

5,1 63,8 67,2

-1,3 -0,4 -1,4

0,2 -0,9 -0,8

White Population 15-64 yrs 3 151 Labour Force 2 144 Employed 2 040 Unemployed 104 Not economically active 1 007 Rates (%) Unemployment rate 4,9 Employed / population ratio (Absorption) 64,7 Labour force participation rate 68,0 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,4 3,3 4,9 -12,5 -3,9

1,7 8,8 13,6 -25,8 -8,0

-0,3 -2,2 -0,9 -21,9 4,2

-0,9 -2,1 -2,4 2,9 1,7



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Table 2.2: Labour force characteristics by province

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

31 562 17 374 13 133 4 241 14 188 1 654 12 534

31 689 17 476 13 250 4 226 14 213 1 710 12 503

31 818 17 471 13 076 4 395 14 346 1 870 12 476

31 946 17 462 13 061 4 401 14 485 1 938 12 547

32 072 17 371 12 975 4 396 14 702 2 033 12 669

126 -91 -86 -5 217 95 122

510 -3 -158 155 514 379 135

24,4 41,6 55,0

24,2 41,8 55,1

25,2 41,1 54,9

25,2 40,9 54,7

25,3 40,5 54,2

0,1 -0,4 -0,5

0,9 -1,1 -0,8

3 349 2 310 1 817 494 1 039 40 998

3 363 2 305 1 837 468 1 058 48 1 010

3 376 2 294 1 793 501 1 082 55 1 027

3 390 2 281 1 754 527 1 109 38 1 071

14 -13 -39 26 27 -17 44

55 -21 -36 15 76 1 74

21,4 54,3 69,0

20,3 54,6 68,5

21,8 53,1 68,0

23,1 51,7 67,3

1,3 -1,4 -0,7

0,9 -2,0 -1,7

Western Cape Population 15-64 yrs 3 335 Labour Force 2 302 Employed 1 790 Unemployed 512 Not economically active 1 033 Discouraged work-seekers 37 Other 997 Rates (%) Unemployment rate 22,2 Employed / population ratio (Absorption) 53,7 Labour force participation rate 69,0 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,4 -0,5 -0,7 -0,1 1,5 4,9 1,0

1,6 0,0 -1,2 3,7 3,6 22,9 1,1

0,4 -0,6 -2,2 5,2 2,5 -30,9 4,3

1,6 -0,9 -2,0 2,9 7,4 2,7 7,4



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Table 2.2: Labour force characteristics by province (continued)

Eastern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

4 072 1 749 1 278 471 2 322 333 1 989

4 087 1 768 1 291 477 2 319 348 1 971

4 102 1 808 1 267 541 2 294 363 1 931

4 117 1 767 1 274 493 2 350 382 1 969

4 131 1 793 1 306 487 2 337 344 1 993

14 26 32 -6 -13 -38 24

59 44 28 16 15 11 4

26,9 31,4 43,0

27 31,6 43,3

29,9 30,9 44,1

27,9 30,9 42,9

27,2 31,6 43,4

-0,7 0,7 0,5

0,3 0,2 0,4

707 387 292 95 320 29 291

709 372 270 102 337 47 290

711 371 260 111 340 39 301

713 372 276 96 341 37 304

2 1 16 -15 1 -2 3

7 6 19 -13 1 7 -6

24,5 41,3 54,7

27,4 38,1 52,5

29,9 36,6 52,2

25,8 38,7 52,2

-4,1 2,1 0,0

-4,0 2,3 0,4

Northern Cape Population 15-64 yrs 706 Labour Force 366 Employed 257 Unemployed 109 Not economically active 340 Discouraged work-seekers 30 Other 310 Rates (%) Unemployment rate 29,8 Employed / population ratio (Absorption) 36,4 Labour force participation rate 51,8 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,3 1,5 2,5 -1,2 -0,6 -9,9 1,2

1,4 2,5 2,2 3,4 0,6 3,3 0,2

0,3 0,3 6,2 -13,5 0,3 -5,1 1,0

1,0 1,6 7,4 -11,9 0,3 23,3 -1,9



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Free State Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

1 845 1 058 757 301 787 88 699

1 849 1 056 791 265 793 99 695

1 853 1 054 770 284 798 101 698

1 856 1 078 778 300 778 85 692

1 860 1 091 768 322 769 85 684

4 13 -10 22 -9 0 -8

15 33 11 21 -18 -3 -15

28,4 41,0 57,3

25,1 42,8 57,1

26,9 41,6 56,9

27,8 41,9 58,1

29,5 41,3 58,6

1,7 -0,6 0,5

1,1 0,3 1,3

6 574 3 068 2 476 592 3 506 467 3 038

6 604 3 084 2 488 596 3 520 503 3 017

6 635 3 081 2 436 645 3 553 504 3 050

6 664 2 990 2 401 588 3 674 563 3 111

29 -91 -35 -57 121 59 61

120 -115 -125 9 235 68 167

19,3 37,7 46,7

19,3 37,7 46,7

20,9 36,7 46,4

19,7 36,0 44,9

-1,2 -0,7 -1,5

1,1 -2,6 -2,5

KwaZulu-Natal Population 15-64 yrs 6 544 Labour Force 3 105 Employed 2 526 Unemployed 579 Not economically active 3 439 Discouraged work-seekers 495 Other 2 944 Rates (%) Unemployment rate 18,6 Employed / population ratio (Absorption) 38,6 Labour force participation rate 47,4 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,2 1,2 -1,3 7,3 -1,2 0,0 -1,2

0,8 3,1 1,5 7,0 -2,3 -3,4 -2,1

0,4 -3,0 -1,4 -8,8 3,4 11,7 2,0

1,8 -3,7 -4,9 1,6 6,8 13,7 5,7



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North West Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

1 995 1 010 729 281 985 120 865

2 001 996 728 268 1 005 134 871

2 007 977 719 257 1 030 130 901

2 013 1 003 722 280 1 011 150 860

2 019 991 714 277 1 029 138 891

6 -12 -8 -3 18 -12 31

24 -19 -15 -4 44 18 26

27,8 36,5 50,6

26,9 36,4 49,8

26,3 35,8 48,6

27,9 35,9 49,8

28,0 35,4 49,1

0,1 -0,5 -0,7

0,2 -1,1 -1,5

7 612 5 359 3 996 1 363 2 253 242 2 012

7 642 5 402 3 944 1 458 2 240 248 1 991

7 672 5 404 3 950 1 454 2 268 254 2 014

7 702 5 402 3 958 1 444 2 300 312 1 988

30 -2 8 -10 32 58 -26

119 92 6 86 27 116 -89

25,4 52,5 70,4

27,0 51,6 70,7

26,9 51,5 70,4

26,7 51,4 70,1

-0,2 -0,1 -0,3

1,1 -0,7 0,1

Gauteng Population 15-64 yrs 7 583 Labour Force 5 310 Employed 3 952 Unemployed 1 358 Not economically active 2 273 Discouraged work-seekers 196 Other 2 077 Rates (%) Unemployment rate 25,6 Employed / population ratio (Absorption) 52,1 Labour force participation rate 70,0 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,3 -1,2 -1,1 -1,1 1,8 -8,0 3,6

1,2 -1,9 -2,1 -1,4 4,5 15,0 3,0

0,4 0,0 0,2 -0,7 1,4 22,8 -1,3

1,6 1,7 0,2 6,3 1,2 59,2 -4,3



P0211

10

Table 2.2: Labour force characteristics by province (concluded)

Mpumalanga Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

2 257 1 218 908 310 1 040 124 916

2 267 1 234 910 324 1 033 126 907

2 277 1 241 882 359 1 036 165 871

2 287 1 243 899 344 1 044 182 862

2 297 1 243 890 353 1 055 193 862

10 0 -9 9 11 11 0

40 25 -18 43 15 69 -54

25,5 40,2 54,0

26,3 40,1 54,4

28,9 38,7 54,5

27,7 39,3 54,4

28,4 38,7 54,1

0,7 -0,6 -0,3

2,9 -1,5 0,1

3 243 1 298 949 349 1 945 225 1 720

3 261 1 228 898 330 2 033 266 1 767

3 279 1 221 947 274 2 058 287 1 771

3 296 1 208 905 303 2 088 321 1 767

17 -13 -42 29 30 34 -4

71 -48 -31 -17 119 90 29

26,9 29,3 40,0

26,9 27,5 37,7

22,4 28,9 37,2

25,1 27,5 36,7

2,7 -1,4 -0,5

-0,4 -1,5 -2,2

Limpopo Population 15-64 yrs 3 225 Labour Force 1 256 Employed 936 Unemployed 320 Not economically active 1 969 Discouraged work-seekers 231 Other 1 738 Rates (%) Unemployment rate 25,5 Employed / population ratio (Absorption) 29,0 Labour force participation rate 38,9 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.


0,4 0,0 -1,0 2,6 1,1 6,0 0,0

1,8 2,1 -2,0 13,9 1,4 55,6 -5,9

0,5 -1,1 -4,4 10,6 1,5 11,8 -0,2

2,2 -3,8 -3,3 -5,3 6,0 39,0 1,7



P0211

11

Table 2.3: Labour force characteristics by province (expanded definition of unemployment)

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Qrt-to-Qrt change

Year-onyear change Thousand






Thousand

31 562 19 965 13 133 6 832 11 597

31 689 20 084 13 250 6 834 11 606

31 818 20 228 13 076 7 151 11 590

31 946 20 333 13 061 7 273 11 614

32 072 20 396 12 975 7 421 11 677

126 63 - 86 148 63

511 431 - 158 589 80

34,2 41,6 63,3

34,0 41,8 63,4

35,4 41,1 63,6

35,8 40,9 63,6

36,4 40,5 63,6

0,6 -0,4 -0,1

2,2 -1,2 0,3

3 349 2 379 1 817 562 970

3 363 2 391 1 837 554 971

3 376 2 380 1 793 587 996

3 390 2 354 1 754 600 1 036

14 - 26 - 39 13 39

54 - 18 - 36 17 73

23,6 54,2 71,0

23,2 54,6 71,1

24,7 53,1 70,5

25,5 51,8 69,4

0,8 -1,3 -1,0

0,9 -1,9 -1,7

Western Cape Population 15-64 yrs 3 335 Labour Force 2 373 Employed 1 790 Unemployed 583 Not economically active 963 Rates (%) Unemployment rate 24,6 Employed / population ratio (Absorption) 53,7 Labour force participation rate 71,1 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.



0,4 0,3 -0,7 2,0 0,5

1,6 2,2 -1,2 8,6 0,7

0,4 -1,1 -2,2 2,1 3,8

1,6 -0,8 -2,0 2,9 7,6



P0211

12

Table 2.3: Labour force characteristics by province (expanded definition of unemployment) (continued)

Eastern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Qrt-to-Qrt change







Thousand

4 072 2 151 1 278 873 1 920

4 087 2 153 1 291 862 1 934

4 102 2 222 1 267 955 1 880

4 117 2 218 1 274 945 1 899

4 131 2 191 1 306 884 1 940

14 - 27 32 - 60 41

59 39 28 11 20

40,6 31,4 52,8

40,0 31,6 52,7

43,0 30,9 54,2

42,6 30,9 53,9

40,4 31,6 53,0

-2,2 0,7 -0,8

-0,2 0,2 0,2

707 435 292 143 272

709 436 270 165 273

711 428 260 167 283

713 432 276 155 281

2 4 16 - 12 -2

7 12 19 -8 -4

32,9 41,3 61,5

38,0 38,1 61,4

39,1 36,6 60,2

36,0 38,8 60,5

-3,2 2,1 0,4

-2,8 2,3 1,0

Northern Cape Population 15-64 yrs 706 Labour Force 420 Employed 257 Unemployed 163 Not economically active 286 Rates (%) Unemployment rate 38,8 Employed / population ratio (Absorption) 36,5 Labour force participation rate 59,5 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.



0,3 -1,2 2,5 -6,8 2,1

1,4 1,8 2,2 1,3 1,0

0,3 0,9 6,2 -7,8 -0,7

1,0 2,8 7,4 -4,7 -1,5



P0211

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Free State Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Qrt-to-Qrt change







Thousand

1 845 1 210 757 453 635

1 849 1 211 791 420 638

1 853 1 211 770 441 642

1 856 1 219 778 441 637

1 860 1 229 768 461 631

4 10 - 10 20 -6

15 19 11 8 -4

37,4 41,0 65,6

34,7 42,8 65,5

36,4 41,6 65,4

36,2 41,9 65,7

37,5 41,3 66,1

1,3 -0,6 0,4

0,1 0,3 0,5

6 574 3 846 2 475 1 371 2 728

6 604 3 900 2 488 1 412 2 705

6 635 3 957 2 436 1 521 2 677

6 664 3 916 2 401 1 514 2 748

29 - 41 - 35 -6 71

120 37 - 125 161 83

35,6 37,6 58,5

36,2 37,7 59,0

38,4 36,7 59,6

38,7 36,0 58,8

0,2 -0,7 -0,9

3,8 -2,6 -0,5

KwaZulu Natal Population 15-64 yrs 6 544 Labour Force 3 879 Employed 2 526 Unemployed 1 353 Not economically active 2 665 Rates (%) Unemployment rate 34,9 Employed / population ratio (Absorption) 38,6 Labour force participation rate 59,3 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.



0,2 0,8 -1,3 4,3 -1,0

0,8 1,5 1,5 1,7 -0,6

0,4 -1,1 -1,4 -0,4 2,6

1,8 1,0 -4,9 11,9 3,1



P0211

14


North West Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Thousand


Qrt-toqrt change Percent

Yearon-year change Percent

2 019 1 243 714 529 776

6 12 -8 21 -6

24 18 - 15 32 7

0,3 1,0 -1,1 3,9 -0,8

1,2 1,4 -2,1 6,5 0,9

41,3 35,9 61,1

42,5 35,4 61,5

1,2 -0,5 0,4

2,0 -1,2 0,1

7 642 5 717 3 944 1 773 1 925

7 672 5 728 3 950 1 778 1 944

7 702 5 808 3 958 1 850 1 894

30 80 8 72 - 50

119 232 6 226 - 113

0,4 1,4 0,2 3,9 -2,6

1,6 4,2 0,2 13,9 -5,6

31,0 51,6 74,8

31,0 51,5 74,7

31,9 51,4 75,4

0,8 -0,1 0,7

2,7 -0,7 1,9






1 995 1 225 729 497 769

2 001 1 200 728 472 801

2 007 1 194 719 474 813

2 013 1 231 722 508 783

40,5 36,5 61,4

39,3 36,4 60,0

39,7 35,8 59,5

7 612 5 714 3 996 1 718 1 899 30,1 52,5 75,1

Gauteng Population 15-64 yrs 7 583 Labour Force 5 576 Employed 3 952 Unemployed 1 624 Not economically active 2 007 Rates (%) Unemployment rate 29,1 Employed / population ratio (Absorption) 52,1 Labour force participation rate 73,5 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.

Qrt-to-Qrt change



P0211

15

Table 2.3: Labour force characteristics by province (expanded definition of unemployment) (concluded)

Mpumalanga Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Thousand



Yearon-year change Percent

2 297 1 567 890 677 730

10 25 -9 34 - 15

40 81 - 18 99 - 41

0,4 1,6 -1,0 5,0 -2,0

1,8 5,4 -2,0 17,1 -5,3

41,7 39,3 67,5

43,2 38,7 68,2

1,5 -0,6 0,8

4,3 -1,5 2,4

3 261 1 620 898 722 1 641

3 279 1 629 947 682 1 650

3 296 1 656 905 751 1 641

17 27 - 42 69 -9

72 12 - 31 43 60

0,5 1,6 -4,4 9,1 -0,6

2,2 0,7 -3,3 6,0 3,8

44,6 27,5 49,7

41,9 28,9 49,7

45,3 27,5 50,2

3,5 -1,4 0,5

2,3 -1,6 -0,8






2 257 1 486 908 578 771

2 267 1 480 910 570 787

2 277 1 538 882 656 739

2 287 1 543 899 644 744

38,9 40,2 65,9

38,5 40,1 65,3

42,6 38,7 67,5

3 243 1 666 949 716 1 577 43,0 29,3 51,4

Limpopo Population 15-64 yrs 3 225 Labour Force 1 644 Employed 936 Unemployed 708 Not economically active 1 581 Rates (%) Unemployment rate 43,1 Employed / population ratio (Absorption) 29,0 Labour force participation rate 51,0 Due to rounding, numbers do not necessarily add up to totals. Note: Employment refers to market production activities.

Qrt-to-Qrt change



P0211

16

Table 3.1: Employed by industry and sex - South Africa

Both sexes Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households Other

Jul-Sep 2009 Thousand 13 133 660 304 1 771 86 1 097 2 903 760 1 735 2 658 1 154 7

Oct-Dec 2009 Thousand 13 250 624 301 1 792 102 1 127 2 933 767 1 812 2 661 1 129 3

Jan-Mar 2010 Thousand 13 076 658 303 1 755 72 1 060 2 882 797 1 681 2 695 1 167 6

Apr-Jun 2010 Thousand 13 061 630 315 1 705 96 1 049 2 903 766 1 723 2 710 1 157 6

Jul-Sep 2010 Thousand 12 975 640 303 1 713 99 1 076 2 947 773 1 625 2 678 1 119 1

Qrt-to-Qrt change Thousand -86 10 -12 8 3 27 44 7 -98 -32 -38 -5

Year-on-year change Thousand -158 -20 -1 -58 13 -21 44 13 -110 20 -35 -6

Qrt-to-qrt change Percent -0,7 1,6 -3,8 0,5 3,1 2,6 1,5 0,9 -5,7 -1,2 -3,3 -83,3

Year-on-year change Percent -1,2 -3,0 -0,3 -3,3 15,1 -1,9 1,5 1,7 -6,3 0,8 -3,0 -85,7

Women Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households Other

5 782 221 41 578 15 137 1 423 163 765 1 535 899 5

5 792 208 33 591 15 141 1 419 174 773 1 563 873 3

5 710 243 34 566 12 125 1 402 176 697 1 569 884 3

5 675 215 35 569 19 114 1 421 143 692 1 565 897 6

5 601 202 33 574 25 116 1 398 155 670 1 549 879 1

-74 -13 -2 5 6 2 -23 12 -22 -16 -18 -5

-181 -19 -8 -4 10 -21 -25 -8 -95 14 -20 -4

-1,3 -6,0 -5,7 0,9 31,6 1,8 -1,6 8,4 -3,2 -1,0 -2,0 -83,3

-3,1 -8,6 -19,5 -0,7 66,7 -15,3 -1,8 -4,9 -12,4 0,9 -2,2 -80,0

Men Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households Other

7 352 439 263 1 193 71 960 1 479 596 971 1 123 255 2

7 458 416 268 1 201 87 985 1 514 593 1 039 1 098 256 0

7 367 415 269 1 190 60 935 1 480 621 984 1 126 284 3

7 385 415 280 1 135 77 935 1 482 623 1 031 1 145 259 1

7 373 438 270 1 139 74 960 1 549 618 955 1 129 241

-12 23 -10 4 -3 25 67 -5 -76 -16 -18

21 -1 7 -54 3 0 70 22 -16 6 -14

-0,2 5,5 -3,6 0,4 -3,9 2,7 4,5 -0,8 -7,4 -1,4 -6,9

0,3 -0,2 2,7 -4,5 4,2 0,0 4,7 3,7 -1,6 0,5 -5,5



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Table 3.2: Employed by industry and province Jul-Sep 2009 Thousand



Agriculture Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

660 123 74 41 85 116 35 45 75 65

624 128 67 51 75 111 38 26 68 59

658 172 62 46 75 120 38 32 67 46

630 149 54 32 75 114 40 31 78 55

640 136 76 40 67 119 35 34 74 58

10 -13 22 8 -8 5 -5 3 -4 3

-20 13 2 -1 -18 3 0 -11 -1 -7

1,6 -8,7 40,7 25,0 -10,7 4,4 -12,5 9,7 -5,1 5,5

-3,0 10,6 2,7 -2,4 -21,2 2,6 0,0 -24,4 -1,3 -10,8

Mining Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

304 3 5 9 28 6 105 33 61 53

301 3 1 11 38 7 113 21 53 53

303 1 1 9 34 9 120 20 57 51

315 1 2 12 31 8 111 27 59 64

303 3 2 12 32 7 106 38 58 46

-12 2 0 0 1 -1 -5 11 -1 -18

-1 0 -3 3 4 1 1 5 -3 -7

-3,8 200,0 0,0 0,0 3,2 -12,5 -4,5 40,7 -1,7 -28,1

-0,3 0,0 -60,0 33,3 14,3 16,7 1,0 15,2 -4,9 -13,2

1 705 272 135 12 71 372 74 633 81 55

1 713 261 159 11 66 371 69 630 81 66

8 -11 24 -1 -5 -1 -5 -3 0 11

-58 -21 -4 -4 -8 -36 -14 33 6 -9

0,5 -4,0 17,8 -8,3 -7,0 -0,3 -6,8 -0,5 0,0 20,0

-3,3 -7,4 -2,5 -26,7 -10,8 -8,8 -16,9 5,5 8,0 -12,0

Manufacturing 1 771 1 792 1 755 Western Cape 282 286 275 Eastern Cape 163 160 140 Northern Cape 15 13 11 Free State 74 80 71 KwaZulu Natal 407 397 419 North West 83 68 64 Gauteng 597 626 645 Mpumalanga 75 81 70 Limpopo 75 80 60 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.









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Table 3.2: Employed by industry and province (continued) Jul-Sep 2009 Thousand





Utilities Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

86 4 3 4 3 4 3 44 14 8

102 8 4 4 4 9 3 48 17 6

72 7 2 1 4 5 3 30 13 7

96 8 6 2 6 8 3 44 10 9

99 11 4 1 3 9 2 42 21 7

3 3 -2 -1 -3 1 -1 -2 11 -2

13 7 1 -3 0 5 -1 -2 7 -1

3,1 37,5 -33,3 -50,0 -50,0 12,5 -33,3 -4,5 110,0 -22,2

15,1 175,0 33,3 -75,0 0,0 125,0 -33,3 -4,5 50,0 -12,5

Construction Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

1 097 159 107 11 59 244 55 283 88 91

1 127 171 115 18 58 238 55 280 84 106

1 060 144 110 15 47 243 52 280 65 105

1 049 153 113 18 50 236 43 272 68 95

1 076 141 120 20 51 231 38 308 72 94

27 -12 7 2 1 -5 -5 36 4 -1

-21 -18 13 9 -8 -13 -17 25 -16 3

2,6 -7,8 6,2 11,1 2,0 -2,1 -11,6 13,2 5,9 -1,1

-1,9 -11,3 12,1 81,8 -13,6 -5,3 -30,9 8,8 -18,2 3,3

2 903 387 311 45 166 513 148 866 213 256

2 947 369 328 42 181 509 164 907 214 233

44 -18 17 -3 15 -4 16 41 1 -23

44 -27 38 2 18 -23 29 21 0 -16

1,5 -4,7 5,5 -6,7 9,0 -0,8 10,8 4,7 0,5 -9,0

1,5 -6,8 13,1 5,0 11,0 -4,3 21,5 2,4 0,0 -6,4

Trade 2 903 2 933 2 882 Western Cape 396 389 400 Eastern Cape 290 282 305 Northern Cape 40 44 46 Free State 163 171 161 KwaZulu Natal 532 531 528 North West 135 144 144 Gauteng 886 877 834 Mpumalanga 214 231 212 Limpopo 249 264 250 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.







P0211

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Table 3.2: Employed by industry and province (continued) Jul-Sep 2009 Thousand








Year-on-year change Percent

Transport Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

760 88 76 9 43 177 19 272 40 35

767 83 82 13 45 159 24 282 41 38

797 97 77 9 46 159 25 307 42 35

766 98 71 6 45 164 22 275 43 43

773 107 67 11 33 194 22 256 42 42

7 9 -4 5 -12 30 0 -19 -1 -1

13 19 -9 2 -10 17 3 -16 2 7

0,9 9,2 -5,6 83,3 -26,7 18,3 0,0 -6,9 -2,3 -2,3

1,7 21,6 -11,8 22,2 -23,3 9,6 15,8 -5,9 5,0 20,0

Finance Western Cape Eastern Cape Northern Cape Free State KwaZulu Natal North West Gauteng Mpumalanga Limpopo

1 735 259 131 20 61 313 67 745 81 57

1 812 259 131 24 55 306 67 817 87 64

1 681 256 116 18 58 275 66 760 88 45

1 723 256 116 22 68 312 60 744 83 63

1 625 252 102 26 73 279 62 677 89 64

-98 -4 -14 4 5 -33 2 -67 6 1

-110 -7 -29 6 12 -34 -5 -68 8 7

-5,7 -1,6 -12,1 18,2 7,4 -10,6 3,3 -9,0 7,2 1,6

-6,3 -2,7 -22,1 30,0 19,7 -10,9 -7,5 -9,1 9,9 12,3

2 710 360 336 84 178 482 154 733 178 204

2 678 364 330 85 173 470 146 744 168 198

-32 4 -6 1 -5 -12 -8 11 -10 -6

20 15 9 2 14 -19 -12 26 5 -20

-1,2 1,1 -1,8 1,2 -2,8 -2,5 -5,2 1,5 -5,6 -2,9

0,8 4,3 2,8 2,4 8,8 -3,9 -7,6 3,6 3,1 -9,2

Community and social services 2 658 2 661 2 695 Western Cape 349 364 363 Eastern Cape 321 331 332 Northern Cape 83 85 84 Free State 159 168 188 KwaZulu Natal 489 490 501 North West 158 154 142 Gauteng 718 708 698 Mpumalanga 163 164 183 Limpopo 218 198 205 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.



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20

Table 3.2: Employed by industry and province (concluded) Jul-Sep 2009 Thousand




Private households 1 154 1 129 1 167 Western Cape 128 124 122 Eastern Cape 109 118 122 Northern Cape 25 29 30 Free State 82 97 86 KwaZulu Natal 236 227 228 North West 68 63 65 Gauteng 324 308 332 Mpumalanga 97 83 87 Limpopo 85 80 96 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.

1 157 108 131 27 90 226 67 320 86 102

Jul-Sep 2010 Thousand 1 119 110 118 29 89 213 71 322 71 96

Qrt-to-Qrt change Thousand -38 2 -13 2 -1 -13 4 2 -15 -6

Year-on-year change Thousand -35 -18 9 4 7 -23 3 -2 -26 11

Qrt-to-qrt change Percent -3,3 1,9 -9,9 7,4 -1,1 -5,8 6,0 0,6 -17,4 -5,9

Year-on-year change Percent -3,0 -14,1 8,3 16,0 8,5 -9,7 4,4 -0,6 -26,8 12,9



P0211

21

Table 3.3: Employed by sector and industry - South Africa Year-onyear change Thousand



Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

13 133 11 320 304 1 771 86 1 097 2 903 760 1 735 2 658 7

13 250 11 498 301 1 792 102 1 127 2 933 767 1 812 2 661 3

13 076 11 251 303 1 755 72 1 060 2 882 797 1 681 2 695 6

13 061 11 274 315 1 705 96 1 049 2 903 766 1 723 2 710 6

12 975 11 215 303 1 713 99 1 076 2 947 773 1 625 2 678 1

-86 -59 -12 8 3 27 44 7 -98 -32 -5

-158 -105 -1 -58 13 -21 44 13 -110 20 -6

-0,7 -0,5 -3,8 0,5 3,1 2,6 1,5 0,9 -5,7 -1,2 -83,3

-1,2 -0,9 -0,3 -3,3 15,1 -1,9 1,5 1,7 -6,3 0,8 -85,7

Formal sector (Non-agricultural) Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Other

9 291 302 1 592 84 834 1 919 575 1 609 2 369 7

9 344 300 1 594 100 839 1 944 569 1 645 2 349 3

9 197 301 1 559 70 792 1 920 594 1 532 2 423 6

9 088 314 1 486 96 736 1 890 558 1 574 2 428 6

9 043 298 1 508 98 766 1 924 561 1 485 2 402 1

-45 -16 22 2 30 34 3 -89 -26 -5

-248 -4 -84 14 -68 5 -14 -124 33 -6

-0,5 -5,1 1,5 2,1 4,1 1,8 0,5 -5,7 -1,1 -83,3

-2,7 -1,3 -5,3 16,7 -8,2 0,3 -2,4 -7,7 1,4 -85,7

Informal sector (Non-agricultural) Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services

2 029 2 178 2 262 984 185 126 290

2 154 1 198 2 287 989 198 167 312

2 054 2 197 2 268 961 203 150 272

2 186 1 218 1 313 1 013 208 149 282

2 172 5 205 1 310 1 023 212 140 276

-14 4 -13 0 -3 10 4 -9 -6

143 3 27 -1 48 39 27 14 -14

-0,6 400,0 -6,0 0,0 -1,0 1,0 1,9 -6,0 -2,1

7,0 150,0 15,2 -50,0 18,3 4,0 14,6 11,1 -4,8

658 1 167

630 1 157

640 1 119

10 -38

-20 -35

1,6 -3,3

-3,0 -3,0

Total employed Formal and informal sector (Non-agricultural) Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Other

Agriculture 660 624 Private households 1 154 1 129 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.



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Table 3.4: Employed by province and sector Jul-Sep 2009 Thousand





South Africa Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

13 133 9 291 2 029 660 1 154

13 250 9 344 2 154 624 1 129

13 076 9 197 2 054 658 1 167

13 061 9 088 2 186 630 1 157

12 975 9 043 2 172 640 1 119

-86 -45 -14 10 -38

-158 -248 143 -20 -35

-0,7 -0,5 -0,6 1,6 -3,3

-1,2 -2,7 7,0 -3,0 -3,0

Western Cape Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

1 790 1 360 180 123 128

1 817 1 381 183 128 124

1 837 1 351 192 172 122

1 793 1 326 210 149 108

1 754 1 318 190 136 110

-39 -8 -20 -13 2

-36 -42 10 13 -18

-2,2 -0,6 -9,5 -8,7 1,9

-2,0 -3,1 5,6 10,6 -14,1

Eastern Cape Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

1 278 818 277 74 109

1 291 817 289 67 118

1 267 823 260 62 122

1 274 794 295 54 131

1 306 817 295 76 118

32 23 0 22 -13

28 -1 18 2 9

2,5 2,9 0,0 40,7 -9,9

2,2 -0,1 6,5 2,7 8,3

Northern Cape Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

257 162 29 41 25

292 181 31 51 29

270 169 26 46 30

260 177 25 32 27

276 173 35 40 29

16 -4 10 8 2

19 11 6 -1 4

6,2 -2,3 40,0 25,0 7,4

7,4 6,8 20,7 -2,4 16,0

Free State Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

757 461 129 85 82

791 481 138 75 97

770 492 117 75 86

778 489 125 75 90

768 490 122 67 89

-10 1 -3 -8 -1

11 29 -7 -18 7

-1,3 0,2 -2,4 -10,7 -1,1

1,5 6,3 -5,4 -21,2 8,5

2 436 1 675 421 114 226

2 401 1 651 419 119 213

-35 -24 -2 5 -13

-125 -52 -52 3 -23

-1,4 -1,4 -0,5 4,4 -5,8

-4,9 -3,1 -11,0 2,6 -9,7

KwaZulu Natal 2 526 2 476 2 488 Formal sector (Non-agricultural) 1 703 1 695 1 722 Informal sector (Non-agricultural) 471 443 417 Agriculture 116 111 120 Private households 236 227 228 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.







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23

Table 3.4: Employed by province and sector (concluded) Jul-Sep 2009 Thousand





North West Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

729 529 97 35 68

728 530 97 38 63

719 527 89 38 65

722 515 100 40 67

714 507 101 35 71

-8 -8 1 -5 4

-15 -22 4 0 3

-1,1 -1,6 1,0 -12,5 6,0

-2,1 -4,2 4,1 0,0 4,4

Gauteng Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

3 952 3 172 411 45 324

3 996 3 153 510 26 308

3 944 3 088 492 32 332

3 950 3 057 542 31 320

3 958 3 065 537 34 322

8 8 -5 3 2

6 -107 126 -11 -2

0,2 0,3 -0,9 9,7 0,6

0,2 -3,4 30,7 -24,4 -0,6

Mpumalanga Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

908 552 184 75 97

910 551 207 68 83

882 541 188 67 87

899 546 189 78 86

890 557 187 74 71

-9 11 -2 -4 -15

-18 5 3 -1 -26

-1,0 2,0 -1,1 -5,1 -17,4

-2,0 0,9 1,6 -1,3 -26,8

947 510 279 55 102

905 465 286 58 96

-42 -45 7 3 -6

-31 -70 36 -7 11

-4,4 -8,8 2,5 5,5 -5,9

-3,3 -13,1 14,4 -10,8 12,9

Limpopo 936 949 898 Formal sector (Non-agricultural) 535 554 483 Informal sector (Non-agricultural) 250 256 274 Agriculture 65 59 46 Private households 85 80 96 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.







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Table 3.5: Employed by sex and occupation - South Africa Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent


Both sexes Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

13 133 1 023 722 1 518 1 460 1 829 72 1 619 1 135 2 852 904

13 250 1 012 661 1 547 1 499 1 886 85 1 615 1 127 2 936 881

13 076 1 000 695 1 515 1 477 1 852 90 1 627 1 091 2 856 873

13 061 1 009 756 1 433 1 467 1 883 115 1 590 1 087 2 828 892

12 975 1 069 705 1 418 1 411 1 858 76 1 607 1 162 2 782 887

-86 60 -51 -15 -56 -25 -39 17 75 -46 -5

-158 46 -17 -100 -49 29 4 -12 27 -70 -17

-0,7 5,9 -6,7 -1,0 -3,8 -1,3 -33,9 1,1 6,9 -1,6 -0,6

-1,2 4,5 -2,4 -6,6 -3,4 1,6 5,6 -0,7 2,4 -2,5 -1,9

Women Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

5 782 308 333 802 1 026 888 15 193 171 1 172 873

5 792 294 298 841 1 049 863 24 210 176 1 188 849

5 710 286 321 820 1 027 856 19 202 144 1 190 844

5 675 278 336 805 1 003 843 36 175 148 1 196 855

5 601 328 327 773 969 826 22 177 171 1 150 858

-74 50 -9 -32 -34 -17 -14 2 23 -46 3

-181 20 -6 -29 -57 -62 7 -16 0 -22 -15

-1,3 18,0 -2,7 -4,0 -3,4 -2,0 -38,9 1,1 15,5 -3,8 0,4

-3,1 6,5 -1,8 -3,6 -5,6 -7,0 46,7 -8,3 0,0 -1,9 -1,7

7 385 731 420 628 464 1 040 78 1 415 939 1 632 38

7 373 741 378 645 441 1 032 54 1 430 991 1 632 29

-12 10 -42 17 -23 -8 -24 15 52 0 -9

21 27 -11 -71 6 92 -3 4 27 -47 -2

-0,2 1,4 -10,0 2,7 -5,0 -0,8 -30,8 1,1 5,5 0,0 -23,7

0,3 3,8 -2,8 -9,9 1,4 9,8 -5,3 0,3 2,8 -2,8 -6,5

Men 7 352 7 458 7 367 Manager 714 718 714 Professional 389 363 374 Technician 716 706 694 Clerk 435 450 450 Sales and services 940 1 023 996 Skilled agriculture 57 61 71 Craft and related trade 1 426 1 405 1 425 Plant and machine operator 964 951 948 Elementary 1 679 1 748 1 666 Domestic worker 31 33 29 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.



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Table 3.6: Employed by sex and status in employment - South Africa Jul-Sep 2009 Thousand








Year-on-year change Percent

Both sexes Employee Employer Own-account worker Unpaid household member

13 133 11 214 641 1 159 120

13 250 11 205 700 1 226 119

13 076 11 096 685 1 187 108

13 061 11 032 688 1 221 120

12 975 10 935 711 1 218 110

-86 -97 23 -3 -10

-158 -279 70 59 -10

-0,7 -0,9 3,3 -0,2 -8,3

-1,2 -2,5 10,9 5,1 -8,3

Women Employee Employer Own-account worker Unpaid household member

5 782 4 979 130 584 89

5 792 4 963 140 599 90

5 710 4 903 155 570 81

5 675 4 865 136 599 75

5 601 4 783 167 587 65

-74 -82 31 -12 -10

-181 -196 37 3 -24

-1,3 -1,7 22,8 -2,0 -13,3

-3,1 -3,9 28,5 0,5 -27,0

Men 7 352 7 458 7 367 7 385 Employee 6 235 6 242 6 193 6 167 Employer 511 560 530 552 Own-account worker 574 627 617 622 Unpaid household member 31 29 27 45 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.

7 373 6 153 544 631 45

-12 -14 -8 9 0

21 -82 33 57 14

-0,2 -0,2 -1,4 1,4 0,0

0,3 -1,3 6,5 9,9 45,2



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Table 3.7: Employed by sex and usual hours of work - South Africa Year-onyear change Percent

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

Both sexes Working less than 15 hours per week Working 15-29 hours per week Working 30-39 hours per week Working 40-45 hours per week Working more than 45 hours per week

13 133 274 819 978 7 007 4 054

13 250 258 820 937 6 979 4 256

13 076 244 773 969 7 077 4 013

13 061 239 820 930 7 180 3 891

12 975 230 745 964 7 131 3 904

-86 -9 -75 34 -49 13

-158 -44 -74 -14 124 -150

-0,7 -3,8 -9,1 3,7 -0,7 0,3

-1,2 -16,1 -9,0 -1,4 1,8 -3,7

Women Working less than 15 hours per week Working 15-29 hours per week Working 30-39 hours per week Working 40-45 hours per week Working more than 45 hours per week

5 782 162 541 607 3 023 1 449

5 792 169 553 584 3 001 1 485

5 710 144 518 607 3 005 1 435

5 675 147 549 586 3 036 1 357

5 601 139 495 609 3 051 1 308

-74 -8 -54 23 15 -49

-181 -23 -46 2 28 -141

-1,3 -5,4 -9,8 3,9 0,5 -3,6

-3,1 -14,2 -8,5 0,3 0,9 -9,7

Men 7 352 7 458 7 367 Working less than 15 hours per week 112 89 100 Working 15-29 hours per week 279 267 255 Working 30-39 hours per week 371 353 363 Working 40-45 hours per week 3 984 3 978 4 072 Working more than 45 hours per week 2 606 2 771 2 577 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.

7 385 92 271 344 4 144 2 534

7 373 92 250 355 4 080 2 596

-12 0 -21 11 -64 62

21 -20 -29 -16 96 -10

-0,2 0,0 -7,7 3,2 -1,5 2,4

0,3 -17,9 -10,4 -4,3 2,4 -0,4



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Table 3.8: Time-related underemployment - South Africa Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-onyear change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

Both sexes Women Men

677 421 256

601 375 226

596 370 226

558 346 212

527 327 200

-31 -19 -12

-150 -94 -56

As percentage of the labour force (Both sexes) Women Men

3,9 5,4 2,7

3,4 4,8 2,3

3,4 4,7 2,4

3,2 4,4 2,2

3,0 4,2 2,1

-0,2 -0,2 -0,1

-0,9 -1,2 -0,6

As percentage of total employment (Both sexes) Women Men

5,2 7,3 3,5

4,5 6,5 3,0

4,6 6,5 3,1

4,3 6,1 2,9

4,1 5,8 2,7

-0,2 -0,3 -0,2

-1,1 -1,5 -0,8

Industry Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households

677 14

601 6

-31 -3

-150 -3

31

24

-9

-20

53 137 19 38 102 270

48 111 14 38 95 258

53 115 23 32 90 241

558 14 0 33 0 60 103 15 28 85 221

527 11

44

596 6 0 35

57 116 14 23 80 203

-3 13 -1 -5 -5 -18

Occupation Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

677 15 11 43 24 68 3 57 24 228 204

601 5 5 41 20 58 3 49 16 211 193

596 8 11 34 30 67 4 57 11 214 160

558 5 11 30 32 57 6 66 11 180 161

527 7 8 28 11 62 0 65 9 177 159

-31 2 -3 -2 -21 5 -6 -1 -2 -3 -2


-5,6 -5,5 -5,7

-22,2 -22,3 -21,9

4 -21 -5 -15 -22 -67

-5,6 -21,4 . -27,3 . -5,0 12,6 -6,7 -17,9 -5,9 -8,1

-22,2 -21,4 . -45,5 . 7,5 -15,3 -26,3 -39,5 -21,6 -24,8

-150 -8 -3 -15 -13 -6 -3 8 -15 -51 -45

-5,6 40,0 -27,3 -6,7 -65,6 8,8 -100,0 -1,5 -18,2 -1,7 -1,2

-22,2 -53,3 -27,3 -34,9 -54,2 -8,8 -100,0 14,0 -62,5 -22,4 -22,1



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Table 4: Characteristics of the unemployed - South Africa Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand




Unemployed Job losers Job leavers New entrants Re-entrants Other

4 241 1 488 340 1 633 195 584

4 226 1 451 337 1 704 189 545

4 395 1 432 289 1 815 214 646

4 401 1 471 290 1 819 206 615

4 396 1 376 260 1 944 184 632

-5 -95 -30 125 -22 17

155 -112 -80 311 -11 48

-0,1 -6,5 -10,3 6,9 -10,7 2,8

3,7 -7,5 -23,5 19,0 -5,6 8,2

Unemployed Long-term unemployment (1 year and more) Short-term unemployment (less than 1 year)

4 241 2 524 1 717

4 226 2 507 1 720

4 395 2 798 1 598

4 401 2 812 1 589

4 396 2 891 1 505

-5 79 -84

155 367 -212

-0,1 2,8 -5,3

3,7 14,5 -12,3

14,5 59,5

14,3 59,3

16,0 63,7

16,1 63,9

16,6 65,8

0,5 1,9

2,1 6,3

1 967 46 27 112 222 283 12 351 178 564 171

1 820 42 22 85 231 262 11 348 138 524 157

-147 -4 -5 -27 9 -21 -1 -3 -40 -40 -14

-204 10 -2 -3 19 -31 3 -51 -53 -93 -1

-7,5 -8,7 -18,5 -24,1 4,1 -7,4 -8,3 -0,9 -22,5 -7,1 -8,2 .

-10,1 31,3 -8,3 -3,4 9,0 -10,6 37,5 -12,8 -27,7 -15,1 -0,6 .

Long-term unemployment (%) Proportion of the labour force Proportion of the unemployed

Those who have worked in the past 5 years Previous occupation 2 024 1 977 1 935 Manager 32 42 46 Professional 24 30 34 Technician 88 79 109 Clerk 212 189 222 Sales and services 293 271 285 Skilled agriculture 8 9 7 Craft and related trade 399 382 410 Plant and machine operator 191 169 171 Elementary 617 637 519 Domestic worker 158 170 132 Other 1 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.



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Table 4: Characteristics of the unemployed - South Africa (concluded) Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Previous industry 2 024 1 977 1 935 Agriculture 112 98 101 Mining 37 30 38 Manufacturing 315 312 303 Utilities 10 9 8 Construction 358 371 329 Trade 475 453 488 Transport 98 101 92 Finance 233 224 231 Community and social services 175 168 178 Private households 207 212 166 Other 1 1 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.

1 967 103 33 294 7 319 488 95 215 198 216 1

1 820 112 25 269 9 309 448 76 218 161 193

-147 9 -8 -25 2 -10 -40 -19 3 -37 -23

Year-onyear change Thousand -204 0 -12 -46 -1 -49 -27 -22 -15 -14 -14

Qrt-to-qrt change Percent -7,5 8,7 -24,2 -8,5 28,6 -3,1 -8,2 -20,0 1,4 -18,7 -10,6 .

Year-onyear change Percent -10,1 0,0 -32,4 -14,6 -10,0 -13,7 -5,7 -22,4 -6,4 -8,0 -6,8 .



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Table 5: Characteristics of the not economically active - South Africa Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Year-on-year change

Qrt-to-qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Percent

14 188 5 942 2 787 1 826 1 106 1 654 873

14 213 6 005 2 773 1 775 1 118 1 710 832

14 346 5 874 2 784 1 826 1 166 1 870 826

14 485 6 009 2 894 1 805 1 122 1 938 717

14 702 6 096 2 897 1 807 1 156 2 033 714

217 87 3 2 34 95 -3

514 154 110 -19 50 379 -159

Inactivity rate by age (Both sexes) 15-24 yrs 25-54 yrs 55-64 yrs

45,0 73,7 27,0 59,2

44,9 73,2 27,1 59,4

45,1 73,6 27,2 59,9

45,3 73,2 27,9 59,3

45,8 74,1 28,2 60,0

0,5 0,9 0,3 0,7

0,8 0,4 1,2 0,8

Inactivity rate by age (Women) 15-24 yrs 25-54 yrs 55-64 yrs

51,8 76,0 36,1 70,3

52,1 75,9 36,7 70,1

52,0 76,5 36,3 70,2

52,4 75,9 37,3 69,2

52,9 76,8 37,9 68,7

0,5 0,9 0,6 -0,5

1,1 0,8 1,8 -1,6

37,1 70,5 16,5 46,6

37,7 70,7 17,3 47,7

37,9 70,5 17,7 47,4

38,3 71,4 17,7 49,6

0,4 0,9 0,0 2,2

0,6 0,0 0,6 3,6

Not economically active Student Home-maker Illness/disability Too old/young to work Discouraged work seekers Other

Inactivity rate by age (Men) 37,7 15-24 yrs 71,4 25-54 yrs 17,1 55-64 yrs 46,0 Due to rounding, numbers do not necessarily add up to totals.

1,5 1,4 0,1 0,1 3,0 4,9 -0,4

Year-onyear change Percent 3,6 2,6 3,9 -1,0 4,5 22,9 -18,2



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Table 6: Socio-demographic characteristics - South Africa Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand


13 133 1 381 4 416 3 710 2 523 1 104

13 250 1 409 4 436 3 724 2 572 1 108

13 076 1 341 4 387 3 722 2 534 1 092

13 061 1 336 4 361 3 716 2 540 1 108

12 975 1 295 4 365 3 707 2 501 1 106

-86 -41 4 -9 -39 -2

-158 -86 -51 -3 -22 2

-0,7 -3,1 0,1 -0,2 -1,5 -0,2

-1,2 -6,2 -1,2 -0,1 -0,9 0,2

4 241 1 285 1 766 771 336 82

4 226 1 312 1 760 762 312 81

4 395 1 348 1 809 810 341 88

4 401 1 405 1 764 778 355 100

4 396 1 364 1 791 801 354 87

-5 -41 27 23 -1 -13

155 79 25 30 18 5

-0,1 -2,9 1,5 3,0 -0,3 -13,0

3,7 6,1 1,4 3,9 5,4 6,1

14 188 7 462 2 298 1 344 1 361 1 723

14 213 7 440 2 305 1 386 1 345 1 738

14 346 7 506 2 326 1 386 1 363 1 765

14 485 7 487 2 419 1 472 1 350 1 757

14 702 7 596 2 415 1 504 1 397 1 790

217 109 -4 32 47 33

514 134 117 160 36 67

1,5 1,5 -0,2 2,2 3,5 1,9

3,6 1,8 5,1 11,9 2,6 3,9

Highest level of education of the employed 13 133 No schooling 457 Less than primary completed 1 183 Primary completed 653 Secondary not completed 4 248 Secondary completed 3 903 Tertiary 2 516 Other 173 Due to rounding, numbers do not necessarily add up to totals.

13 250 442 1 196 673 4 312 4 033 2 444 150

13 076 421 1 127 617 4 265 4 019 2 452 174

13 061 396 1 120 653 4 315 3 902 2 471 203

12 975 387 1 101 626 4 304 3 938 2 437 183

-86 -9 -19 -27 -11 36 -34 -20

-158 -70 -82 -27 56 35 -79 10

-0,7 -2,3 -1,7 -4,1 -0,3 0,9 -1,4 -9,9

-1,2 -15,3 -6,9 -4,1 1,3 0,9 -3,1 5,8

Age group of the employed 15-24 yrs 25-34 yrs 35-44 yrs 45-54 yrs 55-64 yrs Age group of the unemployed 15-24 yrs 25-34 yrs 35-44 yrs 45-54 yrs 55-64 yrs Age group of the not economically active 15-24 yrs 25-34 yrs 35-44 yrs 45-54 yrs 55-64 yrs





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Table 6: Socio-demographic characteristics - South Africa (continued) Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand


4 241 91 374 227 1 934 1 340 244 30

4 226 96 355 196 1 927 1 388 230 34

4 395 83 352 220 2 000 1 439 260 41

4 401 67 347 192 2 001 1 496 258 40

4 396 79 370 213 2 028 1 424 248 35

-5 12 23 21 27 -72 -10 -5

155 -12 -4 -14 94 84 4 5

-0,1 17,9 6,6 10,9 1,3 -4,8 -3,9 -12,5

3,7 -13,2 -1,1 -6,2 4,9 6,3 1,6 16,7

Highest level of education of the not economically active No schooling Less than primary completed Primary completed Secondary not completed Secondary completed Tertiary Other

14 188 873 1 993 1 100 7 449 2 283 363 126

14 213 843 2 042 1 190 7 472 2 198 372 96

14 346 836 1 876 997 7 552 2 586 380 119

14 485 844 1 941 1 156 7 586 2 442 396 120

14 702 837 2 067 1 178 7 628 2 440 424 127

217 -7 126 22 42 -2 28 7

514 -36 74 78 179 157 61 1

1,5 -0,8 6,5 1,9 0,6 -0,1 7,1 5,8

3,6 -4,1 3,7 7,1 2,4 6,9 16,8 0,8

Current marital status of the employed Married Living together like husband and wife Widow/widower Divorced or separated Never married

13 133 5 541 1 577 411 429 5 175

13 250 5 498 1 553 446 473 5 281

13 076 5 503 1 610 440 430 5 093

13 061 5 498 1 510 472 447 5 133

12 975 5 461 1 482 442 467 5 121

-86 -37 -28 -30 20 -12

-158 -80 -95 31 38 -54

-0,7 -0,7 -1,9 -6,4 4,5 -0,2

-1,2 -1,4 -6,0 7,5 8,9 -1,0

Current marital status of the unemployed 4 241 Married 732 Living together like husband and wife 522 Widow/widower 52 Divorced or separated 67 Never married 2 867 Due to rounding, numbers do not necessarily add up to totals.

4 226 707 443 61 62 2 953

4 395 728 475 49 89 3 054

4 401 711 494 46 77 3 074

4 396 733 416 59 79 3 109

-5 22 -78 13 2 35

155 1 -106 7 12 242

-0,1 3,1 -15,8 28,3 2,6 1,1

3,7 0,1 -20,3 13,5 17,9 8,4

Highest level of education of the unemployed No schooling Less than primary completed Primary completed Secondary not completed Secondary completed Tertiary Other





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33

Table 6: Socio-demographic characteristics - South Africa (concluded) Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand


Current marital status of the not economically active 14 188 Married 2 936 Living together like husband and wife 761 Widow/widower 633 Divorced or separated 231 Never married 9 627 Due to rounding, numbers do not necessarily add up to totals.

14 213 2 969 756 636 241 9 611

14 346 2 915 791 613 229 9 799

14 485 2 933 783 634 246 9 889

14 702 2 938 740 631 227 10 164

217 5 -43 -3 -19 275

514 2 -21 -2 -4 537


1,5 0,2 -5,5 -0,5 -7,7 2,8


3,6 0,1 -2,8 -0,3 -1,7 5,6



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Table 7: Involvement in non-market activities and labour market status by province

South Africa Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household' Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active Eastern Cape Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household' Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active

Thousand




1 529 4 539 220 402 78 4 331 665 3 667

204 1 681 136 257 59 847 139 709

281 1 476 166 254 60 585 112 474

15,4 58,8 161,9 177,2 310,5 24,3 26,4 24,0

22,5 48,2 307,4 171,6 333,3 15,6 20,3 14,8

502 1 164 5 84 3 1 135 128 1 007

-3 417 1 42

37 501 3 70

154 18 136

193 21 173

-0,6 55,8 25,0 100,0 . 15,7 16,4 15,6

8,0 75,6 150,0 500,0 . 20,5 19,6 20,7

10 108 1 2 1 91 14 77

8 31

2 28 1 2 1 9 -5 14

400,0 40,3 . . . 16,7 -17,6 26,2

25,0 35,0 . . . 11,0 -26,3 22,2

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

1 248 3 063 54 148 18 3 746 553 3 193

1 523 2 886 54 134 24 3 756 600 3 155

1 468 2 943 87 139 32 3 738 615 3 123

1 325 2 858 84 145 19 3 484 526 2 958

465 663 2 14

518 621 7 22 1 945 137 808

483 655 5 13 3 948 137 811

505 747 4 42

3 82 0

2 77

942 107 834

Northern Cape Subsistence farming 8 5 Fetching water or collecting wood/dung 80 70 Produce other goods for household use 0 0 Construction or major repairs to own or household' 0 Hunting or fishing for household use 0 Involvement in at least one activity 82 72 Unemployed 19 13 Not economically active 63 59 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals. Western Cape had values lower than 10 000.

981 110 871

0 0 84 24 60

78 17 61

2 13 -3 16



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Table 7: Involvement in non-market activities and labour market status by province (continued)

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand


Free State Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household' Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active

38 19 7 8 7 55 18 37

80 12 6 10 7 96 21 75

61 13 5 5 11 74 15 59

42 13 5 8 10 53 11 42

84 49 5 9 17 81 19 62

42 36 0 1 7 28 8 20

46 30 -2 1 10 26 1 25

100,0 276,9 0,0 12,5 70,0 52,8 72,7 47,6

121,1 157,9 -28,6 12,5 142,9 47,3 5,6 67,6

KwaZulu Natal Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household' Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active

464 1 026 31 101 2 1 210 162 1 048

564 870 32 67 7 1 106 151 955

506 896 51 89 5 1 095 149 946

429 855 62 66 3 1 011 148 862

515 1 323 88 202 47 1 202 146 1 056

86 468 26 136 44 191 -2 194

51 297 57 101 45 -8 -16 8

20,0 54,7 41,9 206,1 1466,7 18,9 -1,4 22,5

11,0 28,9 183,9 100,0 2250,0 -0,7 -9,9 0,8

75 236 3

65 166 6 2 0 205 60 144

81 324 5 3 1 296 73 223

16 158 -1 1 1 91 13 79

-15 91 5

24,6 95,2 -16,7 50,0 . 44,4 21,7 54,9

-15,6 39,1 . . . 12,1 7,4 13,2

Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

North West Subsistence farming 96 90 Fetching water or collecting wood/dung 233 219 Produce other goods for household use 0 2 Construction or major repairs to own or household' 1 Hunting or fishing for household use 0 1 Involvement in at least one activity 264 258 Unemployed 68 61 Not economically active 197 197 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.

1 262 76 186

1 32 5 26





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Table 7: Involvement in non-market activities and labour market status by province (concluded) Jul-Sep 2009

Oct-Dec 2009

Jan-Mar 2010

Apr-Jun 2010

Jul-Sep 2010

Qrt-to-Qrt change

Thousand

Thousand

Thousand

Thousand

Thousand

Thousand

Gauteng Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active

69 18 4 5 4 97 40 57

54 19 3 11 5 82 38 44

28 12 14 9 4 63 36 27

40 17 1 8

7 42 45 45

57 29 28

47 59 46 53 4 87 34 53

Mpumalanga Subsistence farming Fetching water or collecting wood/dung Produce other goods for household use Construction or major repairs to own or household Hunting or fishing for household use Involvement in at least one activity Unemployed Not economically active

54 204 9 14 0 243 50 193

95 176 3 14 0 235 60 175

115 178 4 14 0 242 57 185

87 161 3 13 0 214 63 151

195 868 5 6 3 961 118 843

153 823 2 6 5 885 86 799

Limpopo Subsistence farming 54 116 Fetching water or collecting wood/dung 820 898 Produce other goods for household use 1 0 Construction or major repairs to own or household 5 8 Hunting or fishing for household use 1 3 Involvement in at least one activity 847 961 Unemployed 88 118 Not economically active 758 843 For all values of 10 000 or lower the sample size is too small for reliable estimates. Due to rounding, numbers do not necessarily add up to totals.




30 5 25

-22 41 42 48 0 -10 -6 -4

17,5 247,1 4500,0 562,5 . 52,6 17,2 89,3

-31,9 227,8 1050,0 960,0 0,0 -10,3 -15,0 -7,0

118 279 52 25 0 334 108 227

31 118 49 12 0 120 45 76

64 75 43 11 0 91 58 34

35,6 73,3 1633,3 92,3 . 56,1 71,4 50,3

118,5 36,8 477,8 78,6 . 37,4 116,0 17,6

147 1 168 15 19 3 1 050 120 930

-6 345 13 13 -2 165 34 131

93 348 14 14 2 203 32 172

-3,9 41,9 650,0 216,7 -40,0 18,6 39,5 16,4

172,2 42,4 1400,0 280,0 200,0 24,0 36,4 22,7



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Appendix 2A: Sampling variability for labour force characteristics by sex Apr-Jun 2010 CV

Both sexes Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Women Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Jul-Sep 2010 CV

Estimate

Lower 95%

Upper 95%

P-value

1,0 1,0 1,3 2,3 4,4 3,3 2,1 0,8 3,3 0,8

0,6 0,7 0,9 2,2 4,9 3,7 2,2 0,7 3,1 0,7

-91 -86 -45 -14 10 -38 -5 217 95 122

-421 -337 -247 -110 -44 -107 -176 -3 -29 -63

240 164 156 84 65 31 166 437 218 307

0,59 0,50 0,66 0,79 0,71 0,28 0,96 0,05 0,14 0,19

1,7 0,7 0,6

1,9 0,7 0,6

0,1 -0,4 -0,5

-0,7 -0,9 -1,1

0,9 0,1 0,1

0,78 0,09 0,09

1,0 1,2 1,6 3,1 5,9 3,3 2,4 0,8 3,9 0,9

0,9 1,0 1,4 2,9 7,2 3,3 2,8 0,8 3,6 0,9

-69 -74 -10 -32 -13 -18 6 124 78 47

-225 -190 -100 -89 -41 -77 -114 -24 -7 -86

88 42 79 25 16 39 125 272 162 179

0,39 0,21 0,82 0,27 0,38 0,52 0,93 0,10 0,07 0,49

2,0 1,0 0,8

2,4 1,0 0,9

0,3 -0,5 -0,5

-0,9 -1,2 -1,4

1,5 0,1 0,2

0,62 0,07 0,15



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Appendix 2A: Sampling variability for labour force characteristics by sex (concluded) Apr-Jun Jul-Sep 2010 2010 Estimate CV CV

Men Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

1,1 1,2 1,5 3,0 5,3 7,2 2,5 1,1 4,0 1,1

0,6 0,8 1,1 3,0 5,7 8,5 2,5 1,0 3,9 1,0

-22 -12 -35 18 23 -18 -10 93 17 76

-238 -185 -182 -57 -19 -51 -113 -25 -49 -26

193 161 112 94 65 14 93 211 83 178

0,84 0,89 0,64 0,63 0,29 0,26 0,85 0,12 0,61 0,15

2,1 0,8 0,6

2,3 0,8 0,6

-0,0 -0,3 -0,4

-0,9 -1,0 -1,1

0,8 0,4 0,3

0,91 0,40 0,24



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Appendix 2.1A: Sampling variability for labour force characteristics by population group Apr-Jun Jul-Sep 2010 2010 Estimate CV CV

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Black/African Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Coloured Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

1,0 1,0 2,1 0,8

0,6 0,7 2,2 0,7

-91 -86 -5 217

-421 -337 -176 -3

240 164 166 437

0,59 0,50 0,96 0,05

1,7 0,7 0,6

1,9 0,7 0,6

0,1 -0,4 -0,5

-0,7 -0,9 -1,1

0,9 0,1 0,1

0,78 0,09 0,09

1,2 1,3 2,4 0,9

0,8 0,9 2,4 0,8

-58 -96 38 178

-362 -320 -129 -35

247 129 204 391

0,71 0,40 0,66 0,10

1,8 0,9 0,7

2,0 0,9 0,8

0,4 -0,5 -0,5

-0,5 -1,2 -1,2

1,4 0,1 0,2

0,38 0,07 0,18

1,2 1,8 4,6 2,3

1,1 1,8 5,2 2,0

-3 3 -6 12

-41 -33 -44 -29

35 38 32 53

0,87 0,87 0,76 0,56

4,5 1,8 1,2

5,1 1,8 1,1

-0,3 -0,1 -0,3

-2,0 -1,3 -1,6

1,5 1,2 1,0

0,76 0,93 0,64



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Appendix 2.1A: Sampling variability for labour force characteristics by population group (concluded) Apr-Jun Jul-Sep Lower 2010 2010 Estimate 95% CV CV

Indian/Asian Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate White Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Upper 95%

P-value

2,3 2,2 14,7 3,3

1,5 2,0 11,7 2,5

18 24 -7 -14

-4 3 -21 -35

40 45 8 7

0,11 0,02 0,38 0,20

13,6 2,0 2,1

11,8 2,0 1,5

-1,6 2,4 1,6

-3,9 0,3 -0,5

1,0 4,6 3,9

0,25 0,03 0,13

1,5 1,4 9,6 3,1

1,5 1,5 12,5 3,1

-48 -18 -30 41

-92 -66 -55 1

-4 30 -5 79

0,03 0,47 0,02 0,04

9,1 1,3 1,4

12,1 1,5 1,5

-1,3 -0,4 -1,4

-2,5 -1,8 -2,6

-0,1 1,0 -0,1

0,03 0,56 0,03



Appendix 2.2A: Sampling variability for labour force characteristics by province Apr-Jun Jul-Sep 2010 2010 CV CV

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Western Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

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41

Estimate

Lower 95%

Upper 95%

P-value

1,0 1,0 2,1 0,8 3,3 0,8

0,6 0,7 2,2 0,7 3,1 0,7

-91 -86 -5 217 95 122

-421 -337 -176 -3 -29 -63

240 164 166 437 218 307

0,59 0,50 0,96 0,05 0,14 0,19

1,7 0,7 0,6

1,9 0,7 0,6

0,1 -0,4 -0,5

-0,7 -0,9 -1,1

0,9 0,1 0,1

0,78 0,09 0,09

1,1 1,5 4,3 2,4 14,6 2,5

1,3 1,9 5,4 2,7 23,9 2,7

-13 -39 26 27 -17 44

-77 -88 -40 -37 -38 -19

51 11 91 90 5 106

0,69 0,13 0,45 0,41 0,12 0,17

4,1 1,5 1,1

5,1 1,9 1,3

1,3 -1,4 -0,7

-1,2 -2,8 -2,5

3,7 0,1 1,2

0,32 0,07 0,49



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Appendix 2.2A: Sampling variability for labour force characteristics by province (continued) Apr-Jun Jul-Sep 2010 2010 Estimate CV CV

Eastern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Northern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

2,3 3,1 5,5 1,7 6,2 2,0

3,1 2,7 7,3 2,3 6,1 2,5

26 32 -6 -13 -38 24

-58 -36 -67 -97 -84 -51

111 101 56 71 9 100

0,53 0,35 0,85 0,76 0,11 0,52

5,1 3,1 2,3

5,3 2,7 3,1

-0,7 0,7 0,5

-3,6 -1,0 -1,5

2,2 2,3 2,5

0,62 0,42 0,63

2,5 3,6 5,7 2,8 13,9 3,2

2,6 3,7 6,7 2,8 15,4 3,0

1 16 -15 1 -2 3

-21 -3 -25 -21 -12 -16

23 35 -5 23 8 21

0,92 0,10 0,00 0,95 0,68 0,77

5,5 3,6 2,5

6,5 3,7 2,6

-4,1 2,1 0,0

-6,4 -0,5 -3,1

-1,8 4,8 3,1

0,00 0,11 0,99



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Free State Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate KwaZulu Natal Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

1,3 1,8 4,0 1,8 9,4 2,2

1,7 2,2 4,6 2,4 11,8 2,5

13 -10 22 -9 0 -8

-20 -34 -5 -41 -15 -40

45 14 50 24 15 23

0,46 0,41 0,11 0,60 0,99 0,59

2,2 3,7 1,8

4,0 2,2 1,7

1,7 -0,6 0,5

-0,3 -1,9 -1,2

3,8 0,7 2,3

0,09 0,34 0,54

1,5 1,4 6,1 1,5 5,7 1,6

1,8 1,8 7,7 1,5 5,3 1,5

-91 -35 -57 121 59 61

-174 -106 -106 30 -1 -24

-9 36 -7 212 121 146

0,03 0,33 0,03 0,01 0,05 0,16

5,2 1,5 1,6

6,7 1,8 1,8

-1,2 -0,7 -1,5

-2,7 -1,8 -2,8

0,2 0,4 -0,4

0,09 0,21 0,01



P0211

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North West Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Gauteng Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

2,9 3,2 5,9 2,8 8,3 2,9

3,0 3,7 6,5 2,9 11,1 3,0

-12 -8 -3 18 -12 31

-54 -41 -33 -19 -40 -3

30 25 26 55 15 64

0,58 0,62 0,82 0,35 0,38 0,07

4,8 3,0 2,7

5,7 3,7 3,0

0,1 -0,5 -0,7

-2,5 -1,9 -2,4

2,4 0,9 0,9

0,98 0,47 0,38

1,5 1,8 3,9 2,9 14,6 2,7

1,3 1,4 4,7 3,0 13,2 2,7

-2 8 -10 32 58 -26

-161 -128 -109 -82 -4 -115

159 145 90 145 121 62

0,99 0,90 0,85 0,58 0,07 0,55

3,4 1,6 1,2

4,0 1,4 1,3

-0,2 -0,1 -0,3

-1,8 -1,6 -1,7

1,4 1,4 1,2

0,83 0,90 0,69



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Appendix 2.2A: Sampling variability for labour force characteristics by province (concluded) Apr-Jun Jul-Sep 2010 2010 Estimate CV CV

Mpumalanga Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Limpopo Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

3,5 3,7 5,9 3,9 10,0 3,8

2,1 2,8 7,2 2,5 6,7 2,7

-0 -9 9 11 11 0

-80 -68 -33 -63 -28 -56

78 49 50 85 50 55

0,98 0,75 0,69 0,78 0,58 0,99

4,5 2,9 2,4

6,3 2,8 2,1

0,7 -0,6 -0,3

-1,7 -2,4 -2,5

3,1 1,2 1,9

0,57 0,53 0,81

4,2 5,3 6,4 3,3 8,0 3,4

2,6 3,8 6,4 1,5 5,6 1,7

-13 -42 29 30 34 -4

-93 -107 -9 -96 -10 -109

69 23 68 155 79 100

0,76 0,20 0,13 0,64 0,13 0,94

6,9 4,8 3,5

6,6 3,8 2,6

2,7 -1,4 -0,5

0,1 -3,1 -2,4

5,2 0,2 1,3

0,04 0,09 0,55



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Appendix 3.1A: Sampling variability for the employed by industry and sex Apr-Jun Jul-Sep 2010 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value

Both sexes Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households Other

1,0 4,4 10,2 2,6 11,4 3,6 2,1 4,3 2,8 2,3 3,3

0,7 4,9 6,3 2,9 11,1 4,0 2,0 4,2 2,8 2,1 3,7

-86 10 -12 8 3 27 44 7 -98 -32 -38

-337 -44 -64 -85 -22 -48 -76 -47 -186 -122 -107

164 65 40 102 27 103 164 60 -11 57 31

0,50 0,71 0,65 0,86 0,83 0,47 0,47 0,81 0,03 0,47 0,28

Women Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households Other

1,2 5,9 13,6 4,5 22,2 9,8 2,7 8,3 3,6 2,6 3,3

1,0 7,2 14,6 4,6 19,3 11,1 2,6 7,6 3,8 2,5 3,3

-74 -13 -2 5 6 2 -23 12 -22 -16 -18

-190 -41 -13 -49 -6 -26 -97 -15 -76 -79 -77

42 16 9 58 18 31 51 38 32 47 39

0,21 0,38 0,74 0,86 0,30 0,88 0,54 0,38 0,42 0,62 0,52

Men Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households

1,2 5,3 10,7 2,9 12,4 3,7 2,9 4,8 3,9 3,2 7,2

0,8 5,7 6,5 2,9 11,9 3,9 2,5 4,5 3,6 3,1 8,5

-12 23 -10 4 -3 25 67 -5 -76 -16 -18

-185 -19 -58 -66 -22 -39 -11 -47 -147 -77 -51

161 65 38 73 14 89 145 37 -5 44 14

0,89 0,29 0,68 0,92 0,69 0,44 0,09 0,81 0,04 0,59 0,26 Quarterly Labour Force Survey, Quarter 3, 2010


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Appendix 3.4A: Sampling variability for the employed by province and sector Apr-Jun Jul-Sep 2010 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value


1,0 1,3 2,3 4,4 3,3

0,7 0,9 2,2 4,9 3,7

-86 -45 -14 10 -38

-337 -247 -110 -44 -107

164 156 84 65 31

0,50 0,66 0,79 0,71 0,28


1,5 2,2 6,7 8,6 10,1

1,9 2,6 5,7 6,2 7,9

-39 -8 -20 -13 2

-88 -65 -52 -42 -20

11 50 11 16 24

0,13 0,80 0,21 0,39 0,86


3,1 4,7 5,7 12,8 9,9

2,7 4,2 5,8 14,9 9,4

32 23 0 22 -13

-36 -40 -39 4 -36

101 86 40 41 10

0,35 0,48 0,99 0,02 0,27


3,6 4,8 10,9 11,0 11,8

3,7 5,0 12,3 12,6 13,5

16 -4 10 8 2

-3 -16 3 -4 -8

35 9 18 18 13

0,10 0,56 0,01 0,21 0,66


1,8 4,1 8,1 9,5 10,4

2,2 3,5 7,9 9,2 11,0

-10 1 -3 -8 -1

-34 -28 -19 -17 -14

14 30 13 1 13

0,41 0,93 0,72 0,07 0,95

KwaZulu Natal Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

1,4 2,2 4,4 12,9 7,1

1,8 2,3 4,7 16,3 9,4

-35 -24 -2 5 -13

-106 -80 -43 -21 -52

36 31 40 30 25

0,33 0,39 0,94 0,74 0,49



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48

Appendix 3.4A: Sampling variability for the employed by province and sector (concluded) Apr-Jun Jul-Sep 2010 2010 Estimate CV CV

Lower 95%

Upper 95%

P-value


3,2 4,9 8,8 17,3 7,8

3,7 5,5 8,1 19,0 9,2

-8 -8 1 -5 4

-41 -35 -16 -15 -7

25 19 18 5 15

0,62 0,56 0,92 0,32 0,50


1,8 2,2 5,2 29,6 7,2

1,4 1,8 5,5 36,5 8,8

8 8 -5 3 2

-128 -108 -52 -9 -33

145 124 42 15 39

0,90 0,89 0,83 0,63 0,89


3,7 3,8 6,7 12,8 9,8

2,8 3,1 5,8 13,7 7,6

-9 11 -2 -4 -15

-68 -24 -25 -26 -31

49 45 22 19 1

0,75 0,54 0,90 0,75 0,06

Limpopo Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

5,3 7,9 6,9 13,3 12,4

3,8 5,4 6,4 11,9 12,4

-42 -45 7 3 -6

-107 -102 -26 -11 -25

23 12 39 17 11

0,20 0,13 0,69 0,67 0,46



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49

Appendix 3.5A: Sampling variability for the employed by sex and occupation Apr-Jun Jul-Sep 2010 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value

Both sexes Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker Other

1,0 3,6 3,9 2,8 2,5 2,9 10,8 2,9 3,8 2,2 3,2

0,7 3,4 4,1 2,7 2,7 2,6 14,3 2,6 3,6 2,1 3,2

-86 60 -51 -15 -56 -25 -39 17 75 -46 -5

-337 -14 -114 -86 -125 -119 -65 -69 4 -159 -63

164 135 11 57 13 69 -13 101 145 68 52

0,50 0,11 0,11 0,69 0,11 0,60 0,00 0,71 0,04 0,43 0,85

Women Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker Other

1,2 5,6 5,1 3,7 3,0 3,2 16,4 6,6 9,1 3,0 3,3

1,0 5,5 5,9 3,2 3,1 3,4 24,5 7,3 8,0 3,1 3,3

-74 50 -9 -32 -34 -17 -14 2 23 -46 3

-190 16 -46 -86 -86 -71 -26 -27 -2 -111 -54

42 85 27 23 18 36 -4 31 49 21 60

0,21 0,00 0,60 0,25 0,20 0,52 0,01 0,89 0,07 0,18 0,92

Men Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker Other

1,2 4,5 5,2 4,2 5,0 3,7 11,8 2,9 3,9 3,1 13,2

0,8 3,7 4,9 4,3 4,4 3,4 15,2 2,8 3,7 2,9 15,9

-12 10 -42 17 -23 -8 -24 15 52 0 -9

-185 -47 -81 -36 -65 -73 -46 -66 -13 -93 -20

161 67 -2 70 21 57 -3 95 116 92 2

0,89 0,73 0,04 0,53 0,31 0,81 0,03 0,73 0,12 1,00 0,12



Appendix 2B: Sampling variability for labour force characteristics by sex Jul-Sep Jul-Sep 2009 2010 CV CV

Both sexes Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Women Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

P0211

50

Estimate

Lower 95%

Upper 95%

P-value

0,5 0,7 0,9 2,5 5,4 3,2 1,6 0,7 3,7 0,7

0,6 0,7 0,9 2,2 4,9 3,7 2,2 0,7 3,1 0,7

-3 -158 -248 143 -20 -35 155 514 379 135

-252 -388 -449 18 -106 -131 -57 265 232 -85

245 70 -47 269 67 62 369 762 526 354

0,98 0,17 0,02 0,03 0,65 0,48 0,15 0,00 0,00 0,23

1,5 0,7 0,5

1,9 0,7 0,6

0,9 -1,1 -0,8

-0,2 -1,9 -1,7

2,0 -0,4 -0,1

0,10 0,00 0,03

0,9 1,1 1,4 3,4 7,6 3,3 2,2 0,8 3,8 0,8

0,9 1,0 1,4 2,9 7,2 3,3 2,8 0,8 3,6 0,9

-83 -181 -138 -3 -19 -20 97 309 227 83

-279 -337 -266 -77 -58 -99 -50 121 131 -92

112 -24 -10 71 20 59 244 497 323 257

0,40 0,02 0,03 0,94 0,34 0,62 0,20 0,00 0,00 0,35

1,9 0,9 0,8

2,4 1,0 0,9

1,5 -1,5 -1,1

0,0 -2,5 -2,3

3,1 -0,7 0,0

0,05 0,00 0,04



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Appendix 2B: Sampling variability for labour force characteristics by sex (concluded) Jul-Sep Jul-Sep 2009 2010 Estimate CV CV

Men Population 15-64 yrs Labour Force Employed Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households Unemployed Not economically active Discouraged work-seekers Other(not economically active) Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

0,7 1,0 1,1 3,1 6,0 6,7 2,0 1,0 5,3 0,9

0,6 0,8 1,1 3,0 5,7 8,5 2,5 1,0 3,9 1,0

81 21 -110 146 -1 -14 59 204 152 52

-83 -149 -263 50 -66 -57 -65 69 67 -67

243 192 43 243 65 28 183 340 237 172

0,33 0,80 0,16 0,00 0,98 0,50 0,35 0,00 0,00 0,39

1,9 0,8 0,6

2,3 0,8 0,6

0,4 -0,7 -0,6

-0,8 -1,7 -1,5

1,7 0,2 0,3

0,50 0,14 0,17



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Appendix 2.1B: Sampling variability for labour force characteristics by population group Jul-Sep Jul-Sep 2009 2010 Estimate CV CV

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Black/African Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Coloured Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

0,5 0,7 1,6 0,7

0,6 0,7 2,2 0,7

-3 -158 155 514

-252 -388 -57 265

245 70 369 762

0,98 0,17 0,15 0,00

1,5 0,7 0,5

1,9 0,7 0,6

0,9 -1,1 -0,8

-0,2 -1,9 -1,7

2,0 -0,4 -0,1

0,10 0,00 0,03

0,7 0,8 1,8 0,8

0,8 0,9 2,4 0,8

-10 -159 149 497

-231 -356 -51 271

212 38 349 722

0,93 0,11 0,14 0,00

1,5 0,8 0,7

2,0 0,9 0,8

1,2 -1,3 -1,0

-0,2 -2,2 -2,0

2,5 -0,6 -0,2

0,08 0,00 0,02

1,3 1,9 4,5 2,3

1,1 1,8 5,2 2,0

7 -13 20 30

-45 -75 -28 -19

59 49 67 79

0,80 0,69 0,41 0,22

4,5 1,9 1,2

5,1 1,8 1,1

1,0 -1,1 -0,6

-1,5 -3,1 -2,2

3,4 1,0 1,1

0,44 0,31 0,50



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Appendix 2.1B: Sampling variability for labour force characteristics by population group (concluded) Jul-Sep Jul-Sep Lower 2009 2010 Estimate 95% CV CV

Indian/Asian Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate White Population 15-64 yrs Labour Force Employed Unemployed Not economically active Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Upper 95%

P-value

2,8 4,2 11,6 3,8

1,5 2,0 11,7 2,5

46 62 -17 -30

17 28 -33 -58

74 96 0 -2

0,00 0,00 0,05 0,04

13,0 4,1 2,7

11,8 2,0 1,5

-4,0 6,0 3,9

-7,2 2,2 0,9

-0,7 9,6 7,0

0,02 0,00 0,01

1,2 1,3 10,6 2,7

1,5 1,5 12,5 3,1

-46 -49 3 17

-117 -117 -32 -57

25 19 39 91

0,21 0,15 0,84 0,65

10,5 1,4 1,2

12,1 1,5 1,5

0,2 -0,9 -0,8

-1,4 -3,2 -3,2

1,9 1,2 1,5

0,74 0,38 0,48



Appendix 2.2B: Sampling variability for labour force characteristics by province Jul-Sep Jul-Sep 2009 2010 CV CV

South Africa Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Western Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

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Estimate

Lower 95%

Upper 95%

P-value

0,5 0,7 1,6 0,7 3,7 0,7

0,6 0,7 2,2 0,7 3,1 0,7

-3 -158 155 514 379 135

-252 -388 -57 265 232 -85

245 70 369 762 526 354

0,98 0,17 0,15 0,00 0,00 0,23

1,5 0,7 0,5

1,9 0,7 0,6

0,9 -1,1 -0,8

-0,2 -1,9 -1,7

2,0 -0,4 -0,1

0,10 0,00 0,03

1,3 1,9 4,5 2,8 31,7 2,6

1,3 1,9 5,4 2,7 23,9 2,7

-21 -36 15 76 1 74

-94 -122 -40 2 -22 1

52 52 69 149 25 147

0,57 0,43 0,61 0,04 0,90 0,05

4,4 1,9 1,3

5,1 1,9 1,3

0,9 -2,0 -1,7

-1,6 -4,5 -3,9

3,3 0,7 0,5

0,50 0,15 0,12



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Appendix 2.2B: Sampling variability for labour force characteristics by province (continued) Jul-Sep Jul-Sep 2009 2010 Estimate CV CV

Eastern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Northern Cape Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

3,0 2,8 6,0 2,3 8,3 2,4

3,1 2,7 7,3 2,3 6,1 2,5

44 28 16 15 11 4

-63 -52 -59 -92 -44 -99

151 109 91 122 66 108

0,42 0,49 0,68 0,78 0,70 0,94

4,2 2,8 3,0

5,3 2,7 3,1

0,3 0,2 0,4

-3,1 -1,7 -2,2

3,6 2,2 3,1

0,90 0,82 0,74

3,4 3,2 8,2 3,7 16,9 3,1

2,6 3,7 6,7 2,8 15,4 3,0

6 19 -13 1 7 -6

-21 0 -32 -27 -5 -33

34 38 6 29 19 20

0,65 0,04 0,18 0,94 0,25 0,66

6,1 3,2 3,4

6,5 3,7 2,6

-4,0 2,3 0,4

-7,7 -0,3 -3,6

-0,2 5,0 4,3

0,04 0,09 0,86



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Free State Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate KwaZulu Natal Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

1,5 1,7 4,5 2,1 10,1 2,1

1,7 2,2 4,6 2,4 11,8 2,5

33 11 21 -18 -3 -15

-12 -27 -22 -63 -28 -59

78 49 65 27 22 29

0,15 0,57 0,32 0,43 0,81 0,50

3,8 1,7 1,5

4,0 2,2 1,7

1,1 0,3 1,3

-2,3 -1,8 -1,1

4,6 2,3 3,7

0,51 0,80 0,29

1,7 2,1 4,5 1,5 8,4 1,7

1,8 1,8 7,7 1,5 5,3 1,5

-115 -125 9 235 68 167

-245 -247 -82 107 -16 47

13 -2 100 364 154 287

0,08 0,05 0,85 0,00 0,11 0,01

4,4 2,1 1,7

6,7 1,8 1,8

1,1 -2,6 -2,5

-1,8 -4,4 -4,5

3,8 -0,7 -0,6

0,47 0,01 0,01



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North West Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Gauteng Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

3,4 3,4 7,7 3,5 12,3 3,5

3,0 3,7 6,5 2,9 11,1 3,0

-19 -15 -4 44 18 26

-74 -60 -55 -11 -18 -22

36 30 46 99 54 73

0,50 0,53 0,86 0,12 0,32 0,29

5,9 3,4 3,4

5,7 3,7 3,0

0,2 -1,1 -1,5

-4,1 -3,4 -4,3

4,3 1,1 1,2

0,97 0,31 0,27

0,8 1,1 3,0 2,0 11,1 2,0

1,3 1,4 4,7 3,0 13,2 2,7

92 6 86 27 116 -89

-58 -128 -55 -123 37 -219

242 141 227 177 195 40

0,23 0,93 0,23 0,72 0,00 0,18

2,7 1,1 0,8

4,0 1,4 1,3

1,1 -0,7 0,1

-1,1 -2,5 -1,8

3,4 1,0 2,1

0,32 0,42 0,91



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Appendix 2.2B: Sampling variability for labour force characteristics by province (concluded) Jul-Sep Jul-Sep 2009 2010 Estimate CV CV

Mpumalanga Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate Limpopo Population 15-64 yrs Labour Force Employed Unemployed Not economically active Discouraged work-seekers Other Rates (%) Unemployment rate Employed / population ratio (Absorption) Labour force participation rate

Lower 95%

Upper 95%

P-value

2,4 3,1 4,4 2,8 7,9 3,1

2,1 2,8 7,2 2,5 6,7 2,7

25 -18 43 15 69 -54

-48 -81 -12 -58 41 -123

98 45 98 88 97 14

0,50 0,57 0,12 0,69 0,00 0,12

4,4 3,1 2,4

6,3 2,8 2,1

2,9 -1,5 0,1

-0,8 -4,3 -3,1

6,7 1,3 3,3

0,13 0,29 0,93

2,7 2,6 6,7 1,7 8,0 1,8

2,6 3,8 6,4 1,5 5,6 1,7

-48 -31 -17 119 90 29

-110 -94 -66 57 50 -26

15 32 33 182 131 83

0,13 0,33 0,51 0,00 0,00 0,30

5,2 2,6 2,7

6,6 3,8 2,6

-0,4 -1,5 -2,2

-4,1 -3,5 -4,2

3,3 0,3 -0,4

0,84 0,11 0,02



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Appendix 3.1B: Sampling variability for the employed by industry and sex Jul-Sep Jul-Sep 2009 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value

Both sexes Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households

0,7 5,4 7,8 2,5 20,1 3,2 2,1 3,6 2,5 2,1 3,2

0,7 4,9 6,3 2,9 11,1 4,0 2,0 4,2 2,8 2,1 3,7

-158 -20 -1 -58 13 -21 44 13 -110 20 -35

-388 -106 -44 -174 -24 -118 -107 -64 -232 -111 -131

70 67 43 59 50 77 196 91 10 150 62

0,17 0,65 0,97 0,34 0,48 0,68 0,57 0,74 0,07 0,77 0,48

Women Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households

1,1 7,6 13,0 4,7 29,1 9,5 2,5 8,1 3,4 2,2 3,3

1,0 7,2 14,6 4,6 19,3 11,1 2,6 7,6 3,8 2,5 3,3

-181 -19 -8 -4 10 -21 -25 -8 -95 14 -20

-337 -58 -22 -71 -3 -55 -115 -42 -164 -78 -99

-24 20 7 63 23 12 65 24 -26 105 59

0,02 0,34 0,30 0,91 0,12 0,22 0,58 0,61 0,01 0,77 0,62

Men Agriculture Mining Manufacturing Utilities Construction Trade Transport Finance Community and social services Private households

1,0 6,0 8,3 3,0 21,6 3,3 2,9 4,1 3,4 3,2 6,7

0,8 5,7 6,5 2,9 11,9 3,9 2,5 4,5 3,6 3,1 8,5

21 -1 7 -54 3 0 70 22 -16 6 -14

-149 -66 -32 -146 -29 -88 -41 -44 -109 -82 -57

192 65 46 39 35 90 180 88 78 94 28

0,80 0,98 0,73 0,26 0,85 0,99 0,22 0,52 0,74 0,90 0,50



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Appendix 3.4B: Sampling variability for the employed by province and sector Jul-Sep Jul-Sep 2009 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value


0,7 0,9 2,5 5,4 3,2

0,7 0,9 2,2 4,9 3,7

-158 -248 143 -20 -35

-388 -449 18 -106 -131

70 -47 269 67 62

0,17 0,02 0,03 0,65 0,48


1,9 2,0 8,0 9,8 6,3

1,9 2,6 5,7 6,2 7,9

-36 -42 10 13 -18

-122 -120 -25 -12 -38

52 36 46 40 2

0,43 0,30 0,56 0,29 0,07


2,8 3,3 8,2 27,5 12,2

2,7 4,2 5,8 14,9 9,4

28 -1 18 2 9

-52 -69 -30 -43 -28

109 66 67 47 46

0,49 0,97 0,46 0,93 0,62


3,2 4,1 12,4 9,1 11,0

3,7 5,0 12,3 12,6 13,5

19 11 6 -1 4

0 -8 -5 -13 -8

38 30 17 11 15

0,04 0,25 0,32 0,88 0,52


1,7 3,5 6,4 12,1 9,7

2,2 3,5 7,9 9,2 11,0

11 29 -7 -18 7

-27 -7 -34 -37 -19

49 66 18 1 33

0,57 0,11 0,56 0,06 0,59

KwaZulu Natal Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

2,1 2,4 6,7 12,5 6,1

1,8 2,3 4,7 16,3 9,4

-125 -52 -52 3 -23

-247 -152 -115 -49 -70

-2 47 11 53 25

0,05 0,30 0,11 0,93 0,35



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Appendix 3.4B: Sampling variability for the employed by province and sector (concluded) Jul-Sep Jul-Sep 2009 2010 Estimate CV CV

Lower 95%

Upper 95%

P-value


3,4 4,8 6,8 21,7 9,4

3,7 5,5 8,1 19,0 9,2

-15 -22 4 0 3

-60 -69 -15 -10 -15

30 24 24 11 21

0,53 0,35 0,66 0,97 0,73


1,1 1,7 5,5 20,7 8,6

1,4 1,8 5,5 36,5 8,8

6 -107 126 -11 -2

-128 -239 56 -32 -60

141 26 195 11 56

0,93 0,11 0,00 0,33 0,95


2,8 3,1 5,8 13,7 7,6

2,8 3,1 5,8 13,7 7,6

-18 5 3 -1 -26

-81 -41 -21 -27 -41

45 51 27 25 -10

0,57 0,83 0,79 0,94 0,00

Limpopo Formal sector (Non-agricultural) Informal sector (Non-agricultural) Agriculture Private households

3,8 5,4 6,4 11,9 12,4

3,8 5,4 6,4 11,9 12,4

-31 -70 36 -7 11

-94 -124 -4 -26 -12

32 -16 76 11 32

0,33 0,01 0,08 0,45 0,36



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Appendix 3.5B: Sampling variability for the employed by sex and occupation Jul-Sep Jul-Sep 2009 2010 CV CV

Estimate

Lower 95%

Upper 95%

P-value

Both sexes Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

0,7 2,6 3,5 3,2 2,8 2,5 12,7 2,4 3,0 1,9 3,3

0,7 3,4 4,1 2,7 2,7 2,6 14,3 2,6 3,6 2,1 3,2

-158 46 -17 -100 -49 29 4 -12 27 -70 -17

-388 -44 -92 -223 -154 -97 -25 -121 -75 -221 -95

70 137 58 24 55 156 32 96 129 82 61

0,17 0,31 0,65 0,11 0,35 0,65 0,79 0,82 0,60 0,37 0,66

Women Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

1,1 6,0 5,6 3,3 3,2 3,1 21,8 6,8 6,8 2,7 3,4

1,0 5,5 5,9 3,2 3,1 3,4 24,5 7,3 8,0 3,1 3,3

-181 20 -6 -29 -57 -62 7 -16 0 -22 -15

-337 -29 -61 -95 -141 -141 -5 -52 -37 -106 -92

-24 69 47 38 28 16 19 20 37 62 62

0,02 0,42 0,81 0,40 0,19 0,12 0,26 0,37 0,99 0,61 0,70

Men Manager Professional Technician Clerk Sales and services Skilled agriculture Craft and related trade Plant and machine operator Elementary Domestic worker

1,0 3,0 4,8 4,2 4,5 3,4 13,6 2,5 3,4 2,5 14,1

0,8 3,7 4,9 4,3 4,4 3,4 15,2 2,8 3,7 2,9 15,9

21 27 -11 -71 6 92 -3 4 27 -47 -2

-149 -46 -61 -154 -45 6 -26 -101 -63 -166 -14

192 100 40 11 58 178 20 109 117 71 9

0,80 0,47 0,68 0,09 0,80 0,04 0,79 0,94 0,56 0,43 0,70
