south africa stats in brief 2013

8/13/2019 South Africa Stats in Brief 2013

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The South Africa I know, the home I understand


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Stats in brief, 2013

Pali Lehohla

Statistician-General

Statistics South Africa

2013


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Stats in Brief, 2013 / Statistics South Africa

Published by Statistics South Africa

Private Bag X44

Pretoria

0001

ISBN: 978-0-621-41783-8

Statistics South Africa, 2013

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 specied

that the application and/or analysis is the result of the users 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.

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 TownBloemfontein Public Library

Natal Society Library, Pietermaritzburg

Johannesburg Public Library

Eastern Cape Library Services, King Williams Town

Central Regional Library, Polokwane

Central Reference Library, Mbombela

Central Reference Collection, Kimberley

Central Reference Library, Mmabatho

This report is available on the Stats SA website: www.statssa.gov.za

Copies are obtainable from: Printing and Distribution, Statistics South Africa

Tel: (012) 310 8093

(012) 310 8619

(012) 310 8358

(012) 310 8161

Fax: (012) 321 7381

Email: [email protected]

[email protected]


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Preface i

Stats in Brief presents data sourced from a range of Statistics South Africas(Stats SA) publications produced throughout the year. No other external sources to

Stats SA were used in the compilation of this edition.

The 2013 edition of this publication is based on information collected and published

by Stats SA as at the end of August 2013. Data that had not been released prior to this

date were, as a result, not updated.

As in the previous few years, data on Documented migrationis not updated as Stats

SA is still sorting out the data acquisition processes with the Department of Home

Affairs.

The feedback we receive from you as users of this publication is vital in ensuring that

we continue to provide appropriate data that meet your expectations. We rely on you

to ensure that we continue to provide you with data that not only full your needs, but

is also presented in a concise and relevant to your needs.

Abbreviations and symbols

LFS : Labour force survey

n/a : not applicable

n.e.c. : not elsewhere classied

RDP : Reconstruction and Development Programme

SA : South Africa(n)

.. : Data not available

- : No response from respondents

0 or 0,0 : Figure too small to publish

* : Revised

: For all values of 10 000 or lower the sample size is toosmall for reliable estimates

Rounding

Figures are rounded off independent of one another. Details, therefore, may not add

to totals because of rounding.


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cContent

1. Geography2. Demography

3. Vital statistics

4. Tourism

5. Documented migration

6. Labour statistics

7. Prices

8. Mining9. Manufacturing

10. Construction

11. Energy

12. Transport

13. Financial statistics: Private enterprises operating

in the formal non-agriculture business sector

14. Selected internal trade activities

15. Social services and housing

16. Debts

17. National accounts

18. Government nances

15

13

25

33

39

77

8589

95

99

103

107

123

129

163

167

173


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1

South Africa

%

%

%

%

%

%

%

%

%

%

%

%

%

%

%

%

%

Bisho

Durban

Welkom

Mthatha

Mbombela

Mahikeng Pretoria

Polokwane

Kimberley

Cape Town

Bloemfontein

Johannesburg

Potchefstroom

Port Elizabeth

PietermaritzburgNorthern Cape

Limpopo

Eastern Cape

Free State

Western Cape

North West

KwaZulu-Natal

Mpumalanga

Gauteng


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1

Geography


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A1

3

4

Geography

1.1 Area of each province in square kilometres

1.2 Area by province in South Africa (percentages)


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Geography 3

1.1 Area per province in square kilometres

Eastern

Cape Free State Gauteng

Kwazulu-

Natal Limpopo Mpumalanga North West

Northern

Cape

Western

Cape South Africa

168 966 129 825 16 548 94 361 125 755 76 495 106 512 372 889 129 462 1 220 813

Source: Stats SA, Geography Division


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Geography4

Area by province in South Africa (percentages)

Source: Stats SA, Geography Division.


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2

Demography


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A2

7

8

10

11

12

Demography

2.1 Mid-year population estimates of South Africa by population group, age group

and gender, 2013 (thousands)

2.2 Provincial mid-year population estimates of South Africa by age group and

gender, 2013 (thousands)

2.3 Mid-year population estimates of South Africa by population group and gender,

2013 (thousand)

2.4 Percentage distribution of the projected provincial share of the total South Africa

population, 2002-2013

2.5 Estimated annual population growth rates of South Africa, 2002-2013


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Source: Stats SA, Mid-year population estimates, 2013 (c.f. the Stats SA website - interactive data)

Demography 7

2.1 Mid-year population estimates by age group, population group and gender, 2013 (thousands)

Black African Coloured Indian or Asian White TotalMale Female Total Male Female Total Male Female Total Male Female Total Male Female Total

0-4 2 270 2 237 4 508 211 209 420 51 49 100 135 130 265 2 667 2 625 5 293

5-9 2 154 2 142 4 296 217 215 431 48 47 94 137 132 270 2 556 2 535 5 091

10-14 2 121 2 123 4 244 225 223 448 47 46 93 146 141 287 2 538 2 533 5 071

15-19 2 152 2 151 4 303 226 224 450 52 51 103 159 154 313 2 588 2 581 5 169

20-24 2 114 2 076 4 191 210 209 420 56 54 110 159 155 314 2 540 2 495 5 035

25-29 2 010 1 965 3 976 187 191 378 62 57 118 148 146 294 2 407 2 359 4 766

30-34 1 841 1 784 3 625 179 190 370 64 57 121 141 143 284 2 226 2 174 4 400

35-39 1 577 1 558 3 135 183 198 381 59 52 111 141 145 286 1 960 1 953 3 913

40-44 1 218 1 336 2 555 168 187 355 51 47 99 157 159 316 1 595 1 729 3 32445-49 870 1 005 1 875 140 158 298 45 44 89 176 176 351 1 230 1 382 2 613

50-54 737 893 1 630 118 136 254 39 39 78 172 176 348 1 066 1 244 2 310

55-59 565 692 1 257 89 107 196 32 35 67 162 169 332 849 1 003 1 852

60-64 395 516 911 62 80 141 26 30 56 145 156 301 628 782 1 409

65-69 259 496 755 42 54 95 18 21 39 105 135 241 424 705 1 129

70-74 166 346 512 26 37 63 11 14 26 75 102 177 278 500 778

75-79 98 214 312 15 25 40 6 9 15 45 70 115 164 318 483

80+ 59 142 201 9 18 27 4 7 11 35 74 109 107 240 347

Total 20 608 21 676 42 284 2 307 2 459 4 766 669 660 1 329 2 239 2 363 4 602 25 823 27 159 52 982


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Provincial estimates are based on the latest available boundary information obtained from the Demarcation Board.

Demography8

2.2 Provincial mid-year population estimates by age group and gender, 2013 (thousands)

Eastern Cape Free State Gauteng KwaZulu-Natal Limpopo

Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total

0-4 377 369 746 125 123 248 517 508 1 025 591 581 1 172 320 316 636

5-9 366 367 733 121 122 243 501 487 989 571 568 1 139 284 284 568

10-14 350 344 694 135 135 270 495 502 997 555 554 1 108 292 292 584

15-19 365 359 725 141 140 281 507 514 1 021 553 557 1 110 315 314 629

20-24 341 344 685 134 133 267 570 543 1 113 510 516 1 025 290 295 585

25-29 287 298 585 127 124 251 605 565 1 170 456 470 926 254 262 516

30-34 234 242 476 115 113 228 632 579 1 211 398 416 814 212 225 437

35-39 177 194 371 97 101 198 639 569 1 208 328 354 682 156 186 342

40-44 135 175 310 81 91 172 539 501 1 040 247 304 551 113 155 268

45-49 108 152 259 65 74 140 401 380 781 186 248 434 85 124 21050-54 100 152 252 58 67 124 337 333 670 165 229 393 72 111 184

55-59 86 129 215 47 56 103 260 262 522 135 183 318 60 92 151

60-64 66 101 167 35 45 80 184 194 377 107 152 259 47 75 122

65-69 47 95 141 24 40 64 119 167 286 74 141 215 32 66 99

70-74 37 80 117 15 28 43 70 105 175 48 99 147 23 51 74

75-79 27 60 87 9 17 26 35 53 88 30 64 94 16 42 58

80+ 17 39 56 4 11 16 20 35 54 20 47 67 15 43 58

Total 3 118 3 502 6 620 1 333 1 420 2 753 6 432 6 296 12 728 4 974 5 483 10 457 2 584 2 934 5 518


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Demography 9

2.2 Provincial mid-year population estimates by age group and gender, 2013 (thousands) (concl.)

Mpumalanga North West Northern Cape Western Cape South Africa

Male Female Total Male Female Total Male Female Total Male Female Total Male Female Total

0-4 224 221 445 187 185 372 59 58 117 268 264 532 2 667 2 625 5 293

5-9 210 207 417 179 179 359 56 56 112 268 263 531 2 556 2 535 5 091

10-14 218 218 436 173 172 345 59 58 117 261 258 519 2 538 2 533 5 071

15-19 221 220 440 172 167 338 58 56 114 256 254 511 2 588 2 581 5 169

20-24 210 202 412 173 161 334 53 51 104 258 251 509 2 540 2 495 5 035

25-29 198 186 385 169 151 320 51 47 98 260 255 515 2 407 2 359 4 766

30-34 173 165 338 159 136 295 47 43 90 256 254 510 2 226 2 174 4 400

35-39 140 144 284 138 123 260 40 39 79 246 243 489 1 960 1 953 3 913

40-44 109 126 235 115 109 224 35 37 72 221 231 452 1 595 1 729 3 324

45-49 84 99 183 95 87 182 28 30 58 178 188 365 1 230 1 382 2 61350-54 72 83 155 87 77 164 25 27 53 150 165 315 1 066 1 244 2 310

55-59 58 66 123 67 62 130 21 23 45 115 129 244 849 1 003 1 852

60-64 42 51 93 45 47 93 16 19 35 86 99 184 628 782 1 409

65-69 27 43 70 31 45 76 11 18 29 59 90 149 424 705 1 129

70-74 18 32 49 20 33 53 7 13 20 39 60 99 278 500 778

75-79 10 22 33 10 19 29 4 7 12 23 33 56 164 318 483

80+ 9 20 29 6 17 23 3 6 9 13 22 35 107 240 347

Total 2 023 2 105 4 128 1 828 1 770 3 598 574 589 1 163 2 958 3 059 6 017 25 823 27 159 52 982


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2.3 Mid-year population distributions by population group and gender, 2013

Population

group

Male Female Total

Number

% of total

Number

% of total

Number

% of total

population population population

Black African 20 608 79,8 21 676 79,8 42 284 79,8

Coloured 2 307 8,9 2 459 9,1 4 766 9,0

Indian or Asian 669 2,6 660 2,4 1 329 2,5

White 2 239 8,7 2 363 8,7 4 602 8,7

Total 25 823 100 27 159 100 52 982 100

Source: Stats SA, Mid-year population estimates,2013 (c.f. the Stats SA website - interactive data)


Demography10


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2.4 Percentage distributions of the projected provincial share of the total population, 2004-2013

Province 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Eastern Cape 13,5 13,4 13,3 13,1 13,0 12,9 12,8 12,7 12,6 12,5Free State 5,8 5,7 5,7 5,6 5,5 5,5 5,4 5,3 5,3 5,2

Gauteng 22,3 22,5 22,7 22,9 23,1 23,3 23,5 23,7 23,8 24,0

KwaZulu-Natal 20,2 20,2 20,1 20,1 20,0 20,0 19,9 19,8 19,8 19,7

Limpopo 10,6 10,5 10,5 10,5 10,5 10,5 10,5 10,4 10,4 10,4

Mpumalanga 7,8 7,8 7,8 7,8 7,8 7,8 7,8 7,8 7,8 7,8

North West 6,8 6,8 6,8 6,8 6,8 6,8 6,8 6,8 6,8 6,8

Northern Cape 2,3 2,3 2,3 2,3 2,2 2,2 2,2 2,2 2,2 2,2

Western Cape 10,7 10,8 10,9 11,0 11,0 11,1 11,2 11,2 11,3 11,4

Total 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0


Demography 11


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Demography12

2.5 Estimated annual population growth rates by population group and gender, 2004-2013

2004-

2005

2005-

2006

2006-

2007

2007-

2008

2008-

2009

2009-

2010

2010-

2011

2011-

2012

2012-

2013

Black African

Male 1,64 1,65 1,66 1,67 1,67 1,68 1,69 1,70 1,70

Female 1,39 1,39 1,40 1,41 1,42 1,42 1,43 1,44 1,45

Total 1,51 1,52 1,53 1,53 1,54 1,55 1,56 1,56 1,57

Coloured

Male 1,40 1,36 1,31 1,26 1,22 1,17 1,13 1,08 1,03

Female 1,38 1,34 1,30 1,26 1,22 1,18 1,14 1,10 1,06

Total 1,39 1,35 1,31 1,26 1,22 1,18 1,13 1,09 1,05

Indian or Asian

Male 1,51 1,51 1,51 1,51 1,51 1,51 1,51 1,52 1,52

Female 1,23 1,23 1,22 1,22 1,21 1,21 1,20 1,19 1,19

Total 1,37 1,37 1,37 1,36 1,36 1,36 1,36 1,36 1,35

WhiteMale -0,41 -0,42 -0,44 -0,45 -0,46 -0,48 -0,49 -0,51 -0,52Female -0,28 -0,29 -0,30 -0,31 -0,31 -0,32 -0,33 -0,34 -0,35

Total -0,34 -0,35 -0,37 -0,38 -0,39 -0,40 -0,41 -0,42 -0,43

Total Male 1,41 1,41 1,42 1,42 1,43 1,43 1,43 1,44 1,44

Female 1,22 1,22 1,22 1,23 1,23 1,24 1,24 1,24 1,25

Total 1,31 1,31 1,32 1,32 1,33 1,33 1,33 1,34 1,34


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Vital

statistics


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A3

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16

17

18

19

20

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22

23

Vital statistics

3.1 Recorded marriages by province, 2001-2011 (numbers)

3.2 Recorded divorces by province, 1999-2006 (numbers)

3.3 Number of minor children involved in recorded divorces by population group,

2001-2011

3.4 Registered live birth occurences by province, 2001-2011 (numbers)

3.5 Number of registered deaths by province and year of death, 2006-2010

3.6 Percentage distribution of registered deaths by age and year of death, 1999-

2010

3.6 Percentage distribution of registered deaths by age and year of death, 2009against 2006

3.7 Percentage distribution of deaths by main group of underlying cause of death,

(CD-10), 2006-2010

3.8 Leading underlying natural causes of death, 2006-2009 (percentages)


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Source: Stats SA, Marriages and divorces(P0307)

All population groups are included.

Vital statistics 15

3.1 Recorded marriages by province, 2001-2011 (numbers)

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North west

Northern

Cape

Western

Cape

Unspeci-

ed Foreign

South

Africa

2001 12 908 10 790 35 528 19 646 12 003 7 995 9 377 3 283 22 767 3 138 60 134 581

2002 19 27 8 13 359 45 400 24 272 14 970 10 139 13 483 3 790 26 852 5 214 245 177 002

2003 19 980 13 150 45 787 26 683 12 649 10 508 14 395 4 004 25 704 5 478 351 178 689

2004 22 401 13 323 44 279 26 513 11 377 9 796 13 500 4 500 26 712 3 716 404 176 521

2005 22 104 14 475 44 831 28 461 10 529 9 397 13 312 4 653 28 517 3 888 490 180 657

2006 22 775 13 466 49 995 30 239 10 131 9 556 13 758 4 641 29 612 3 217 470 184 860

2007 21 508 13 752 45 622 28 858 9 571 9 405 13 572 5 052 29 818 5 434 438 183 030

2008 21 164 13 593 46 226 29 361 10 581 9 713 13 916 4 843 30 523 5 643 959 186 522

2009 20 903 11 908 41 817 27 266 9 930 9 095 12 585 4 217 28 112 5 429 727 171 989

2010 22 329 11 905 41 396 25 862 9 699 8 809 13 193 4 552 26 855 2 396 3 830 170 826

2011 26 980 10 560 34 267 27 545 11 044 7 268 10 846 5 063 27 596 5 784 311 167 264

Certain types of marriages, for example, traditional and Muslim, were not ofcially recognised until 1999.

These types of marriages are thus reected in the gures from 2000 onwards.


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All population groups are included.

Vital statistics16

3.2 Recorded divorces by province, 1999-2006 (numbers)

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa

North

west

Northern

Cape

Western

Cape

Unspeci-

ed Foreign

South

Africa

1999 3 317 1 929 14 005 4 741 1 027 1 132 1 574 843 7 143 1 580 15 37 098

2000 2 519 1 737 13 289 4 664 918 961 1 728 667 5 596 2 064 0 34 145

2001 2 733 1 661 12 545 4 796 1 035 1 221 1 815 611 5 840 2 787 13 32 257

2002 1 761 1 063 11 666 3 515 1 149 1 255 2 065 536 5 846 1 968 14 30 838

2003 2 555 1 808 10 885 4 090 1 031 1 108 1 840 622 5 549 2 065 13 31 566

2004 2 961 1 696 10 092 4 009 1 134 1 189 1 721 733 4 381 3 812 33 31 768

2005 1 928 1 662 12 302 3 960 996 1 170 1 874 520 5 381 2 639 52 32 484

2006 2 765 1 711 10 544 4 092 941 1 263 1 777 618 4 699 2 811 49 31 270

As from 2007 divorces are not published by province.


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Figures include minor children of all population groups as recorded in the law courts. The age of a minor child is dened as 0-16 years.

Vital statistics 17

3.3 Number of minor children involved in recorded divorces, by population group, 2001-2011

Black African Coloured

Indian or

Asian White Mixed Unspecied Total

2001 9 640 5 377 1 951 14 854 420 5 561 37 803

2002 8 578 4 868 1 794 14 031 342 4 787 34 400

2003 8 882 5 069 1 702 11 986 435 5 350 33 424

2004 8 686 3 955 1 711 10 363 458 4 424 29 597

2005 9 609 4 308 1 699 10 278 432 6 068 32 394

2006 9 113 3 451 1 676 11 079 613 5 338 31 270

2007 9 346 4 350 1 644 8 489 560 4 091 28 480

2008 10 110 3 057 1 802 9 481 902 3 572 28 924

2009 10 404 4 736 1 415 8 163 2 047 1 530 28 295

2010 7 719 3 529 1 113 5 633 17 2 372 20 383

2011 6 937 3 753 1 224 5 169 - 1 488 18 571


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Source: Stats SA, Recorded live births(Statistical release P0305)

Birth occurrences refer to the number of births that occurred in a specic year and were registered.

Vital statistics18

3.4 Registered live birth occurrences by province, 2001-2011 (numbers)

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa

North

west

Northern

Cape

Western

Cape

Outside

SA

Unspeci-

ed

South

Africa

2001 129 157 49 123 161 676 232 041 97 949 74 595 64 464 21 008 86 762 4 670 101 921 546

2002 126 429 48 772 163 149 233 703 93 177 70 451 62 320 21 025 86 078 4 349 85 909 538

2003 134 802 50 958 163 556 218 298 95 803 74 277 65 580 21 582 87 008 4 353 62 916 279

2004 147 883 54 445 183 378 227 253 108 760 82 438 72 815 23 434 97 607 4 471 103 1 002 587

2005 151 269 56 717 188 354 236 195 117 552 85 888 78 852 23 551 103 511 4 456 147 1 046 492

2006 152 527 56 638 194 384 244 329 121 036 85 280 79 472 23 964 108 316 4 437 149 1 070 532

2007 143 210 56 668 193 623 232 902 121 211 85 307 80 719 24 272 108 014 4 907 205 1 051 038

2008 138 028 57 715 200 183 232 906 125 288 87 135 82 827 24 817 110 613 4 033 127 1 063 672

2009 123 381 53 406 192 751 213 384 118 181 82 902 78 382 23 964 105 785 2 175 125 994 436

2010 116 782 53 269 191 594 206 120 119 352 79 388 76 195 23 733 102 601 594 142 969 770

2011 110 361 50 571 182 638 185 207 115 734 75 291 70 510 22 820 97 467 247 507 911 353

Population Register due to late registrations of births. Figures include updated birth occurrences as at 29 February 2012.


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3.5 Number of registered deaths by province, 2006-2010

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa

North

west

Northern

Cape

Western

Cape

Outside

SA

Unspeci-

ed

South

Africa

2006 96 181 53 632 119 955 139 903 53 091 44 220 41 740 15 117 44 678 635 3 956 613 108

2007 91 917 52 176 118 897 136 537 52 960 43 936 41 918 15 072 46 789 602 3 556 604 3602008 88 896 50 497 118 590 132 878 53 301 43 399 41 888 15 228 46 969 658 3 320 595 624

2009 84 083 47 763 115 829 128 897 53 377 46 034 40 736 15 227 45 961 671 1 133 579 711

2010 80 627 45 018 105 673 115 889 50 017 41 773 40 059 15 183 45 711 725 3 181 543 856

Source: Stats SA, Mortality and causes of death in South Africa, 2006-2010: Findings from death notications (Statistical release P0309.3)

The completeness of the death register varies by year and province of death. Deaths are reported for the province in which the death took

place, not for the usual province of residence. Data for 2006-2009 have been updated to include late registrations processed in 2011/13.

Vital statistics 19


27/213

Source: Stats SA,Mortality and causes of death in South Africa, 1999-2010: Findings from death notication(Statistical releases P0309.3)

Vital statistics20

3.6 Percentage distribution of registered deaths by age and year of death, 1999-2010

Age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

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

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

5-9 0,9 0,9 0,8 0,9 0,9 1,0 1,0 0,9 0,9 0,8 0,8 0,8

10-14 0,8 0,7 0,7 0,7 0,7 0,7 0,7 0,7 0,7 0,7 0,8 0,8

15-19 2,0 1,9 1,9 1,8 1,7 1,6 1,6 1,5 1,5 1,5 1,5 1,5

20-24 4,5 4,5 4,4 4,4 4,4 4,4 4,3 4,2 4,1 4,0 3,8 3,7

25-29 7,0 7,4 8,0 8,4 8,3 8,2 7,8 7,4 7,1 7,1 6,8 6,5

30-34 7,5 8,3 8,7 9,5 10,0 10,2 10,0 9,8 9,5 9,1 8,5 8,0

35-39 7,2 7,7 8,1 8,7 8,8 9,3 9,3 9,1 9,0 9,0 8,6 8,2

40-44 6,3 6,8 7,1 7,4 7,8 8,2 8,2 8,2 8,0 7,8 7,6 7,5

45-49 6,2 6,2 6,3 6,4 6,6 6,8 7,0 7,0 7,1 7,1 7,2 7,2

50-54 5,7 5,9 6,0 6,0 6,0 6,1 6,1 6,3 6,4 6,4 6,6 6,855-59 6,0 5,5 5,2 5,1 5,1 5,2 5,5 5,7 6,0 6,1 6,3 6,4

60-64 6,0 6,1 6,0 5,8 5,5 5,3 5,0 5,0 5,1 5,3 5,8 6,4

65-69 6,6 5,9 5,7 5,4 5,1 5,0 5,3 5,5 5,6 5,7 5,8 5,8

70-74 6,6 6,6 6,4 5,8 5,5 5,0 4,7 4,8 4,9 5,0 5,4 5,9

75-79 5,9 5,3 5,0 4,8 4,7 4,5 4,7 4,9 4,9 5,0 5,2 5,1

80-84 5,0 5,1 5,1 4,7 4,2 3,6 3,4 3,5 3,6 3,8 4,3 4,8

85-89 3,3 3,1 2,8 2,5 2,8 2,5 2,6 3,0 3,1 2,9 3,0 3,0

90+ 2,0 2,2 2,2 2,2 2,1 1,9 1,9 2,0 2,1 2,3 2,9 2,7

Unspecied 0,7 0,5 0,4 0,4 0,5 0,5 0,5 0,2 0,2 0,2 0,2 0,2

Total 381 855 416 411 455 124 502 324 556 988 577 027 598 286 613 073 604 333 595 599 579 711 543 856


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Source: Stats SA, Mortality and causes of death in South Africa, 2006-2010: Findings from death notications (Statistical release P0309.3)

Vital statistics 21

3.6 Percentage distribution of registered deaths by age group, 2010 against 2006

20102006


29/213

Source: Stats SA, Mortality and causes of death in South Africa, 2006-2010: Findings from death notications(Statistical release P0309.3)

1 Percentages of deaths due to perinatal conditions (P00-P96) are not comparable between 2005 and 2006. This is because coding of causes of death for

infants (age 0) changed during the processing of 2006 data as per the ICD-10 rules by WHO.

Vital statistics22

3.7 Percentage distribution of deaths by main group of underlying cause of death (CD-10), 2006-2010

2006 2007 2008 2009 2010

Certain infectious and parasitic diseases (A00-B99) 26,0 25,4 26,4 25,0 24,8Neoplasms (C00-D48) 5,6 5,8 5,9 6,3 6,7

Diseases of the blood and immune mechanism (D50-D89) 3,2 3,2 3,1 2,9 2,6

Endocrine, nutritional and metabolic diseases (E00-E90) 4,7 4,9 4,8 5,1 5,6

Mental and behavioural disorders (F00-F99) 0,3 0,3 0,3 0,3 0,3

Diseases of the nervous system (G00-G99) 2,7 2,7 2,7 2,7 2,7

Diseases of the eye and adnexa (H00-H59) 0,0 0,0 0,0 0,0 0,0

Diseases of the ear and mastoid process (H60-H95) 0,0 0,0 0,0 0,0 0,0

Diseases of the circulatory system (I00-I99) 13,6 13,7 13,9 14,7 15,2

Diseases of the respiratory system (J00-J99) 14,2 13,8 13,1 13,1 12,4

Diseases of the digestive system (K00-K93) 2,7 2,6 2,6 2,5 2,5

Diseases of the skin and subcutaneous tissue (L00-L99) 0,2 0,2 0,2 0,2 0,2

Diseases of the musculoskeletal system etc. (M00-M99) 0,3 0,3 0,3 0,4 0,4

Diseases of the genitourinary system (N00-N99) 1,4 1,4 1,4 1,5 1,6

Pregnancy, childbirth and puerperium (O00-O99) 0,2 0,3 0,3 0,3 0,3

Perinatal conditions (P00-P96)1 2,1 2,1 2,1 2,3 2,0

Congenital malformations (Q00-Q99) 0,3 0,3 0,3 0,3 0,3

Symptoms and signs not elsewhere classied (R00-R99) 13,6 13,9 13,6 13,7 13,5

External causes of morbidity and mortality (V01-Y98) 8,7 9,0 9,0 8,7 8,9

Total 100,0 100,0 100,0 100,0 100,0

Total number 613 108 604 360 595 624 579 711 543 856


30/213

Vital statistics 23

3.8 Leading underlying natural causes of death, 2006-2010 (percentages)

2006 2007 2008 2009 2010

Tuberculosis (A15-A19) 12,7 12,8 12,6 12,0 11,6

Other forms of heart disease (I30-I52) 4,4 4,3 4,4 4,6 4,7

Cerebrovascular diseases (I60-I69) 4,1 4,2 4,1 4,3 4,5

Inuenza and pneumonia (J10-J18) 8,7 8,3 7,7 7,5 7,2

Chronic lower respiratory diseases (J40-J47) 2,6 2,5 2,4 2,5 2,4

Diabetes mellitus (E10-E14) 3,2 3,3 3,3 3,6 3,9

Ischaemic heart diseases (I20-I25) 2,1 2,1 2,0 2,1 2,2

Intestinal infectious diseases (A00-A09) 6,5 6,2 6,6 5,4 5,0

Human immunodeciency virus [HIV] disease (B20-B24) 2,4 2,2 2,5 3,1 3,4

Hypertensive diseases (I10-I15) 2,1 2,2 2,4 2,7 2,7

Malignant neoplasm of digestive organs (C15-C26) 1,6 1,6 1,5 1,6 1,7

Certain disorders involving the immune mechanism (D80-D89) 2,6 2,5 2,5 2,3 2,0

Respiratory and cardiovascular disorders specic to the perinatal period (P20-P29)1 1,1 1,0 1,8 1,0 1,0

Other viral diseases 1,9 1,6 1,9 2,0 2,3

Other natural causes 42,0 42,3 42,4 43,4 43,3

Non-natural causes 8,7 9,0 9,0 8,7 8,9

Total 100,0 100,0 100,0 100,0 100,0

Total number 613 108 604 360 595 624 579 711 543 856

Source: South African death registration data

Causes of death are based on the Tenth Revision,International Classication of Disease, 1992.1 Owing to changes in the coding of causes of deaths for infants (age 0), percentages of deaths due to this particular disease for 2006 onwards are not comparable with those for 2005 and before.


31/213


32/213

TItleSecond Tilte

4

Tourism


33/213

A4

27

28

29

30

31

Tourism

4.1 Number of arrivals and departures of foreign travellers and South African

residents, 2001-2012 (thousands)

4.2 Number of arrivals and departures of foreign travellers, 2001-2012 (thousands)

4.3 Number of arrivals and departures of South African residents, 2001-2012

(thousands)

4.4 Number of arrivals of foreign travellers by mode of travel, 2012 against 2007

(thousands)

4.5 Purpose of visit stated by foreign travellers, 2005-2012 (thousands)

T i


34/213

Tourism 27

Sources: Stats SA, Tourism 2001-2012 (Report 03-51-02) andTourism and migration (Statistical release P0351)

1All people entering or leaving South Africa through legal ports of entry.

27

4.1 Number of arrivals and departures of foreign travellers and South African residents, 2001-2012 (thousands)

Arrivals1 Departures1

Foreign travellers2 SA residents3 4 Total Foreign travellers2 SA residents3 4 Total

2001 5 908 3 802 9 710 5 307 3 733 9 0402002 6 550 3 850 10 400 5 822 3 794 9 616

2003 6 640 1 254 7 894 5 955 1 164 7 119

2004 6 815 434 7 250 6 093 419 6 512

2005 7 518 2 112 9 631 6 729 2 192 8 920

2006 8 509 4 317 12 826 7 502 4 339 11 841

2007 9 208 4 449 13 657 8 023 4 433 12 456

2008 9 729 4 418 14 147 8 475 4 429 12 904

2009 10 098 4 487 14 586 8 680 4 424 13 104

2010 11 575 5 125 16 700 9 909 5 165 15 073

2011 12 496 5 429 17 925 10 725 5 455 16 180

2012 13 796 4 971 18 767 11 494 5 031 16 525

2Persons residing outside South Africa, who visit this country temporarily for business, holiday and/or study purposes, as well as for work (more than 90 days).3South African citizens and persons with permanent residence in South Africa, who leave the country temporarily.4From April 2003 to January 2005, statistics on arrivals or departures of SA residents were not collected due to the new Immigration Act, 2002 (Act No. 13 of 2002).

T i28


35/213


Tourism28

4.2 Number of arrivals and departures of foreign travellers, 2001-2012

16 000

20112001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2012

14 000

0

2 000

4 000

6 000

8 000

10 000

12 000

Tourism 29


36/213


From April 2003 to January 2005, statistics on arrivals or departures of SA residents were not collected due to the new Immigration Act, 2002 (Act No. 13 of 2002).

Tourism 29

4.3 Number of arrivals and departures of SA residents, 2001-2012

0

1 000

2 000

3 000

4 000

5 000

6 000

20112001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2012

Tourism30


37/213

Sources: Stats SA, Tourism 2005-2012 (Report 03-51-02) and Tourism and migration (Statistical release P0351)

Tourism30

4.4 Number of arrivals of foreign travellers by mode of travel, 2012 against 2007

0

2 000

4 000

6 000

8 000

10 000

2007

12 000

10 276

6 321

3 481

2 501

5 38 381

2012

1

Air Road Sea Unspecied

Foreign visitors entering the country using road and rail transport do so through the South African borders with neighbouring countries - Lesotho, Namibia, Botswana, Zimbabwe,

Mozambique and Swaziland. Ports of entry for air travel are mainly through the international airports at Cape Town, Durban and Johannesburg. Ports of entry for sea travel are mainly

Cape Town, Durban, East London and Port Elizabeth.

Tourism 31


38/213


1Border trafc concessions are granted to persons who cross the border on a frequent basis. This concession is granted for a maximum period of six months, after which it can be renewed.

Tourism 31

4.5 Number of arrivals of foreign travellers by purpose of visit, 2005-2012 (thousands)

2007 2008 2009 2010 2011 2012

Holiday 8 572 9 081 9 484 10 672 11 605 12 162

Business 197 186 115 341 194 217

Transit 35 31 28 196 206 589

Border trafc1 174 184 201 87 0 ..

Work 117 137 164 179 241 344

Study 112 109 106 94 92 96

Unspecied 1 0 0 5 157 389

Total 9 208 9 729 10 098 11 575 12 496 13 796


39/213


40/213

TItleSecond Tilte

5

Documented

migration


41/213

A5

35

36

37

38

Documented migration

5.1 Documented immigrants and self-declared emigrants by region of previous

permanent residence or destination, 1994-2003 (numbers)

5.2 Self-declared emigrants by country of destination, 1994-2003 (numbers)

5.3 Documented immigrants by occupational group, 1994-2003 (numbers)

5.4 Self-declared emigrants by occupational group, 1994-2003 (numbers)

Documented migration 35


42/213

Sources: Stats SA, Documented immigration (Report 03-51-03) andTourism and migration (Statistical release P0351)

Statistics of documented immigrants are unavailable as from July 2005.

The immigration gures are obtained from all legal ports of entry into South Africa.

5.1 Documented immigrants by country of previous permanent residence, 1994-2003 (numbers)

Europe Austra-lasia Middle East Asia

North

America

Central

and South

Americas Africa

Indian

Ocean

Islands Unspeci-ed Total

1994 2 784 80 148 1 497 177 72 1 548 80 12 6 398

1995 2 272 85 136 927 238 43 1 304 39 20 5 064

1996 2 315 86 117 1 020 207 50 1 549 52 11 5 407

1997 1 494 56 84 1 034 173 45 1 155 46 16 4 103

1998 1 614 61 77 1 207 146 57 1 169 31 9 4 371

1999 1 213 40 46 693 98 33 1 504 28 14 3 669

2000 978 33 50 991 111 22 831 24 13 3 053

2001 1 714 51 109 1 289 172 41 1 419 31 6 4 832

2002 1 847 65 103 1 738 184 60 2 472 61 15 6 545

2003 2 567 99 190 2 328 272 82 4 961 58 21 10 578

Documented migration36


43/213

Sources: Stats SA, Documented immigration(Report 03-51-03) and Tourism and migration(Statistical release P0351)

As from February 2004, statistics on self-declared emigrants are no longer collected due to the Immigration Act, 2002 (Act No. 13 of 2002).

Emigration in this context refers to South Africans leaving the country permanently. These gures are obtained from South Africas three international airports, Johannesburg, Cape Town and Durban.

The four most frequent destinations for self-declared emigrants are Europe, Australasia, Africa and North America.

5.2 Self-declared emigrants by country of destination, 1994-2003 (numbers)

Europe

Austra-

lasia

Middle

East Asia

North

America

Central

and South

Americas Africa

Indian

Ocean

Islands

Unspeci-

ed Total

1994 4 198 2 766 358 173 1 699 45 854 88 54 10 235

1995 2 963 2 449 281 163 1 561 51 1 114 66 77 8 725

1996 3 198 3 035 266 136 1 737 49 1 151 72 64 9 708

1997 2 962 2 671 244 166 1 389 43 1 339 71 61 8 946

1998 3 138 2 513 230 169 1 338 45 1 425 77 96 9 031

1999 3 071 2 506 200 187 1 168 43 1 131 86 95 8 487

2000 3 811 2 441 243 198 1 581 64 1 655 151 118 10 262

2001 5 316 2 912 280 226 1 659 54 1 584 126 103 12 260

2002 4 637 2 523 323 218 1 430 43 1 461 144 111 10 890

2003 6 827 3 248 580 445 1 998 92 2 611 196 168 16 165

Documented migration 37


44/213


Statistics of documented immigrants are unavailable as from July 2005.

The immigration gures are obtained from all legal ports of entry into South Africa.

5.3 Documented immigrants by occupational group, 1994-2003 (numbers)

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Professional occupations 1 103 798 843 551 449 378 331 524 576 499

Managerial and administrative occupations 490 374 461 418 424 258 241 258 381 416Clerical and sales occupations 400 250 315 64 48 199 21 62 26 25

Transport and communication occupations 19 7 18 19 8 25 5 3 5 7

Service occupations 115 79 84 43 27 58 4 16 21 15

Farming and related occupations 20 5 4 2 0 48 4 0 2 0

Artisan and related occupations 184 103 117 93 52 169 15 10 14 10

Production and related workers 78 58 62 31 17 218 5 10 9 0

Occupations unspecied or n.e.c. 161 88 74 424 173 36 36 69 19 39

Not economically active 3 830 3 302 3 412 2 555 3 173 2 304 2 391 3 879 5 491 9 567

Total 6 398 5 064 5 407 4 103 4 371 3 669 3 053 4 832 6 545 10 578

Documented migration38


45/213


As from February 2004, statistics on self-declared emigrants are no longer collected due to the Immigration Act, 2002 (Act No. 13 of 2002).

Emigration in this context refers to South Africans leaving the country permanently. These gures are obtained from South Africas three international airports, Johannesburg, Cape Town and Durban.

5.4 Self-declared emigrants by occupational group, 1994-2003 (numbers)

1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

Professional occupations 1 960 1 679 1 970 1 924 1 968 1 855 2 439 2 929 2 689 3 370

Managerial and administrative occupations 638 664 737 703 787 680 891 954 1 146 1 218Clerical and sales occupations 1 008 859 921 877 873 794 1 057 1 279 596 1 400

Transport and communication occupations 45 41 23 34 43 32 67 53 54 99

Service occupations 122 102 116 99 113 116 146 208 129 214

Farming and related occupations 14 26 26 29 34 16 34 33 25 25

Artisan and related occupations 402 319 339 327 323 257 289 304 253 297

Production and related workers 67 40 32 31 19 28 61 79 39 62

Occupations unspecied or n.e.c. 604 793 999 824 945 970 1 450 1 752 1 880 1 376

Not economically active 5 375 4 198 4 545 4 039 3 926 3 639 3 828 4 669 3 556 4 649

Total 10 235 8 725 9 708 8 946 9 031 8 487 10 262 12 260 10 890 16 165


46/213

TItleSecond Tilte

6

Labour

statistics


47/213

A6

42

45

50

61

72

75

Labour statistics

6.1 Population of working age (15-64 years) by gender and labour market statusaccording to the ofcial denition of unemployment, 2009-2013 (thousands)

6.2 Population of working age (15-64 years) by population group and labour market

status according to the ofcial denition of unemployment, 2009-2013

(thousands)

6.3 The employed (15-64 years) by main occupation and province, 2009-2013

(thousands)

6.4 The employed (15-64 years) by main industry and province, 2009-2013

(thousands)

6.5 Number of employees and gross earnings by industry

6.6 Average monthly earnings, at current prices, by industry, 2012 (Rands)

Labour statistics 41


48/213

Statistics South Africa has updated the entire series of LFS results to reect the new population estimates released in February 2005. In addition, all rounds of the series have

now been benchmarked to Census 2001, including the early rounds that were previously benchmarked to Census 1996. The resulting estimates are now comparable for the

entire series to date.

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

1Includes employers, employees and self-employed.

For numbers of 10 000 or less the sample size is too small for reliable estimates.

Labour statistics42


49/213

6.1 Population of working age (15-64 years) by gender and labour market status according to the ofcial denition of unemployment,

2009-2013 (thousands)

Gender: Male

Economically active

Not economicallyactive TotalWorkers Unemployed Total

Unemployementrate (%)

2009 Mar 7 799 2 075 9 874 21,0 5 230 15 104

Jun 7 638 2 101 9 739 21,6 5 439 15 178

Sep 7 352 2 155 9 506 22,7 5 745 15 251

Dec 7 458 2 180 9 638 22,6 5 684 15 322

2010 Mar 7 367 2 228 9 595 23,2 5 801 15 396

Jun 7 385 2 224 9 609 23,1 5 856 15 465

Sep 7 373 2 214 9 587 23,1 5 949 15 536

Dec 7 434 2 073 9 507 21,8 6 097 15 604

2011 Mar 7 430 2 126 9 556 22,3 6 115 15 672

Jun 7 408 2 237 9 645 23,2 6 095 15 740Sep 7 511 2 186 9 697 22,5 6 111 15 808

Dec 7 577 2 115 9 692 21,8 6 181 15 873

2012 Mar 7 520 2 261 9 781 23,1 6 158 15 939

Jun 7 574 2 243 9 817 22,8 6 187 16 005

Sep 7 706 2 336 10 042 23,3 6 028 16 070

Dec 7 693 2 222 9 914 22,4 6 219 16 133

2013 Mar 7 654 2 342 9 996 23,4 6 200 16 197

Jun 7 684 2 346 10 030 23,4 6 231 16 260



50/213

6.1 Population of working age (15-64 years) by gender and labour market status according to the ofcial denition of unemployment, 2009-2013

(thousands) (cont.)

Gender: Female

Economically active

Not economicallyactive TotalWorkers Unemployed Total Unemployementrate (%)

2009 Mar 6 044 2 148 8 192 26,2 8 001 16 192

Jun 5 957 2 068 8 026 25,8 8 226 16 252

Sep 5 782 2 086 7 867 26,5 8 443 16 311

Dec 5 792 2 046 7 839 26,1 8 529 16 367

2010 Mar 5 710 2 167 7 877 27,5 8 545 16 422

Jun 5 675 2 177 7 853 27,7 8 628 16 481

Sep 5 601 2 183 7 784 28,0 8 752 16 537

Dec 5 698 2 064 7 762 26,6 8 827 16 589

2011 Mar 5 688 2 237 7 926 28,2 8 716 16 642

Jun 5 717 2 301 8 018 28,7 8 677 16 695Sep 5 807 2 257 8 064 28,0 8 683 16 747

Dec 5 920 2 129 8 050 26,5 8 748 16 797

2012 Mar 5 902 2 265 8 167 27,7 8 681 16 847

Jun 5 872 2 227 8 099 27,5 8 799 16 898

Sep 5 940 2 331 8 271 28,2 8 677 16 948

Dec 5 885 2 279 8 164 27,9 8 831 16 995

2013 Mar 5 967 2 260 8 226 27,5 8 817 17 043

Jun 6 037 2 378 8 414 28,3 8 677 17 091

Labour statistics44


51/213

6.1 Population of working age (15-64 years) by gender and labour market status according to the ofcial denition of unemployment,

2009-2013 (thousands) (concl.)

Gender: Total

Economically active

Not economically

active TotalWorkers Unemployed Total

Unemployement

rate (%)

2009 Mar 13 843 4 223 18 066 23,4 13 231 31 296

Jun 13 595 4 170 17 765 23,5 13 665 31 430

Sep 13 133 4 241 17 374 24,4 14 188 31 562

Dec 13 250 4 226 17 476 24,2 14 213 31 689

2010 Mar 13 076 4 395 17 471 25,2 14 346 31 818

Jun 13 061 4 401 17 462 25,2 14 485 31 946

Sep 12 975 4 396 17 371 25,3 14 702 32 072

Dec 13 132 4 137 17 269 24,0 14 924 32 193

2011 Mar 13 118 4 364 17 482 25,0 14 832 32 314

Jun 13 125 4 538 17 663 25,7 14 772 32 435

Sep 13 318 4 442 17 761 25,0 14 795 32 555

Dec 13 497 4 244 17 741 23,9 14 929 32 670

2012 Mar 13 422 4 526 17 948 25,2 14 838 32 786

Jun 13 447 4 470 17 916 24,9 14 987 32 903

Sep 13 645 4 667 18 313 25,5 14 705 33 018

Dec 13 577 4 501 18 078 24,9 15 050 33 128

2013 Mar 13 621 4 601 18 222 25,3 15 017 33 240

Jun 13 721 4 723 18 444 25,6 14 908 33 352



52/213

6.2 Population of working age (15-64 years) by population group and labour market status according to the ofcial denition of unemployment,

2009-2013 (thousands)

Population group:

Black African

Economically active

Not economically


Unemployement

rate (%)

2009 Mar 9 664 3 670 13 334 27,5 10 962 24 295

Jun 9 470 3 633 13 103 27,7 11 318 24 421

Sep 9 134 3 664 12 798 28,6 11 748 24 546

Dec 9 193 3 665 12 858 28,5 11 810 24 668

2010 Mar 9 021 3 787 12 808 29,6 11 988 24 796

Jun 9 071 3 775 12 846 29,4 12 067 24 913

Sep 8 975 3 813 12 788 29,8 12 245 25 033

Dec 9 149 3 575 12 724 28,1 12 425 25 149

2011 Mar 9 158 3 740 12 898 29,0 12 367 25 265

Jun 9 215 3 953 13 169 30,0 12 213 25 381Sep 9 361 3 804 13 165 28,9 12 331 25 496

Dec 9 519 3 651 13 171 27,7 12 437 25 608

2012 Mar 9 470 3 879 13 350 29,1 12 370 25 720

Jun 9 544 3 839 13 383 28,7 12 449 25 833

Sep 9 719 3 995 13 714 29,1 12 230 25 944

Dec 9 660 3 854 13 514 28,5 12 538 26 052

2013 Mar 9 710 3 927 13 636 28,8 12 524 26 160

Jun 9 803 4 025 13 828 29,1 12 441 26 269

Labour statistics46


53/213

6.2 Population of working age (15-64 years) by population group and labour market status according to the ofcial denition of

unemployment, 2009-2013 (thousands) (cont.)

Population group:Coloured

Economically active

Not economicallyactive TotalWorkers Unemployed Total Unemployementrate (%)

2009 Mar 1 576 383 1 959 19,5 987 2 947

Jun 1 553 375 1 927 19,4 1 029 2 956

Sep 1 503 407 1 910 21,3 1 056 2 966

Dec 1 534 400 1 934 20,7 1 041 2 975

2010 Mar 1 521 426 1 947 21,9 1 036 2 983

Jun 1 487 433 1 920 22,5 1 074 2 994

Sep 1 490 427 1 917 22,3 1 086 3 003

Dec 1 484 401 1 885 21,3 1 126 3 012

2011 Mar 1 495 436 1 931 22,6 1 090 3 021

Jun 1 402 420 1 822 23,0 1 208 3 030Sep 1 495 463 1 957 23,6 1 081 3 038

Dec 1 520 406 1 926 21,1 1 121 3 046

2012 Mar 1 488 468 1 955 23,9 1 099 3 055

Jun 1 473 464 1 936 23,9 1 127 3 063

Sep 1 494 485 1 979 24,5 1 092 3 071

Dec 1 501 460 1 961 23,5 1 118 3 079

2013 Mar 1 496 455 1 950 23,3 1 137 3 087

Jun 1 477 495 1 972 25,1 1 123 3 095



54/213


2009-2013 (thousands) (cont.)

Population group:

Indian or Asian

Economically active

Not economically


Unemployement

rate (%)

2009 Mar 471 68 539 12,7 351 890

Jun 464 60 524 11,5 371 895

Sep 456 66 522 12,7 377 899

Dec 451 57 508 11,1 395 903

2010 Mar 483 50 533 9,3 374 906

Jun 494 56 550 10,1 361 910

Sep 518 49 568 8,7 347 914

Dec 514 44 559 8,0 360 918

2011 Mar 484 64 548 11,7 374 922

Jun 497 60 557 10,8 369 926

Sep 471 57 528 10,9 402 930

Dec 487 45 533 8,5 402 934

2012 Mar 500 51 551 9,3 388 938

Jun 479 50 529 9,5 413 943

Sep 491 65 556 11,6 391 947

Dec 496 74 570 13,0 381 951

2013 Mar 515 72 587 12,3 368 955

Jun 514 79 593 13,4 366 959

Labour statistics48


55/213


2009-2013 (thousands) (cont.)

Population group: White

Economically active

Not economically

active TotalWorkers Unemployed TotalUnemployement

rate (%)

2009 Mar 2 132 102 2 233 4,5 931 3 164

Jun 2 109 102 2 211 4,6 947 3 158

Sep 2 040 104 2 144 4,8 1 007 3 151

Dec 2 071 106 2 177 4,8 967 3 144

2010 Mar 2 051 132 2 183 6,1 949 3 133

Jun 2 009 137 2 146 6,4 983 3 130

Sep 1 991 107 2 098 5,1 1 024 3 122

Dec 1 985 116 2 101 5,5 1 013 3 114

2011 Mar 1 981 124 2 105 5,9 1 001 3 106

Jun 2 011 105 2 115 5,0 983 3 098

Sep 1 992 118 2 110 5,6 980 3 090

Dec 1 971 142 2 112 6,7 969 3 081

2012 Mar 1 964 128 2 092 6,1 981 3 073

Jun 1 950 117 2 067 5,7 997 3 064

Sep 1 942 122 2 065 5,9 991 3 056

Dec 1 921 113 2 034 5,5 1 013 3 047

2013 Mar 1 901 148 2 049 7,2 989 3 038

Jun 1 927 124 2 051 6,1 978 3 029



56/213


2009-2013 (thousands) (concl.)

Population group:Total

Economically active

Not economically


Unemployement

rate (%)

2009 Mar 13 843 4 223 18 066 23,4 13 231 31 296

Jun 13 595 4 170 17 765 23,5 13 665 31 430

Sep 13 133 4 241 17 374 24,4 14 188 31 562

Dec 13 250 4 226 17 476 24,2 14 213 31 689

2010 Mar 13 076 4 395 17 471 25,2 14 346 31 818

Jun 13 061 4 401 17 462 25,2 14 485 31 946

Sep 12 975 4 396 17 371 25,3 14 702 32 072

Dec 13 132 4 137 17 269 24,0 14 924 32 193

2011 Mar 13 118 4 364 17 482 25,0 14 832 32 314

Jun 13 125 4 538 17 663 25,7 14 772 32 435

Sep 13 318 4 442 17 761 25,0 14 795 32 555

Dec 13 497 4 244 17 741 23,9 14 929 32 670

2012 Mar 13 422 4 526 17 948 25,2 14 838 32 786

Jun 13 447 4 470 17 916 24,9 14 987 32 903

Sep 13 645 4 667 18 313 25,5 14 705 33 018

Dec 13 577 4 501 18 078 24,9 15 050 33 128

2013 Mar 13 621 4 601 18 222 25,3 15 017 33 240

Jun 13 721 4 723 18 444 25,6 14 908 33 352

Labour statistics50


57/213

6.3 The employed1(ages 15-64 years) by main occupation and province, 2009-2013 (thousands)

Main occupation:

Legislators, senior

ofcials and managers

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 87 52 491 151 42 59 38 11 148 1 081Jun 98 56 441 132 51 52 40 24 153 1 048

Sep 85 52 405 171 49 51 38 17 155 1 023

Dec 85 50 431 138 51 47 41 19 150 1 012

2010 Mar 94 53 388 168 44 42 43 14 155 1 000

Jun 103 49 417 152 43 41 49 18 137 1 009

Sep 104 56 435 152 35 50 51 17 170 1 069

Dec 99 49 438 172 45 55 59 19 187 1 124

2011 Mar 116 57 426 168 30 58 56 16 208 1 136

Jun 108 63 430 169 33 50 45 15 210 1 124

Sep 106 58 442 173 47 56 43 15 189 1 130

Dec 92 52 492 166 43 56 37 17 175 1 1302012 Mar 87 40 478 155 50 54 40 15 182 1 102

Jun 85 38 454 154 51 59 29 18 175 1 062

Sep 87 36 497 167 50 65 35 15 181 1 135

Dec 77 45 451 160 56 63 35 13 177 1 075

2013 Mar 87 47 461 172 50 65 34 15 184 1 115

Jun 93 43 494 186 41 63 32 16 179 1 146



58/213

6.3 The employed1(ages 15-64 years) by main occupation and province, 2009-2013 (thousands) (cont.)

Main occupation:

Professional

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 68 36 351 118 29 29 38 11 129 809

Jun 54 21 289 99 38 36 25 102 670Sep 65 21 315 113 30 28 27 113 722Dec 51 30 274 115 26 29 36 93 661

2010 Mar 66 35 289 103 23 32 29 111 695Jun 47 34 318 147 21 37 26 119 756Sep 47 32 292 116 19 34 26 130 705Dec 54 29 318 134 23 28 38 129 762

2011 Mar 54 30 333 117 28 27 34 120 750Jun 67 24 332 104 29 24 32 142 762Sep 61 35 366 89 28 25 29 123 763Dec 70 30 358 83 25 28 30 115 745

2012 Mar 63 31 351 100 27 21 23 123 747Jun 78 32 361 127 27 23 30 128 816Sep 68 37 352 121 23 32 29 11 125 798

Dec 65 36 370 130 18 28 29 11 118 805

2013 Mar 53 37 428 130 25 29 26 13 130 870

Jun 58 42 400 125 34 29 32 11 122 854

Labour statistics52

6 3 Th l d1 ( 1 64 ) b i i d i 2009 2013 ( h d ) ( )


59/213


Main occupation:

Technical and associate

professionals

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 150 77 492 277 108 97 66 28 219 1 515Jun 158 79 560 298 94 85 69 26 205 1 573

Sep 144 74 501 280 108 86 80 31 213 1 518

Dec 169 71 497 294 109 91 73 31 211 1 547

2010 Mar 160 81 482 300 91 93 63 32 213 1 515

Jun 161 79 439 270 93 87 60 33 211 1 433

Sep 160 74 448 273 94 87 51 32 200 1 418

Dec 178 74 432 291 92 91 66 29 216 1 469

2011 Mar 177 78 420 285 98 86 68 24 224 1 461

Jun 168 69 419 279 96 96 71 31 240 1 469

Sep 167 71 412 299 90 77 72 33 219 1 440

Dec 171 70 453 300 98 74 86 33 212 1 498

2012 Mar 153 71 495 305 100 68 81 33 226 1 532

Jun 171 72 527 306 106 72 77 33 214 1 577

Sep 162 66 501 313 95 67 76 27 215 1 523

Dec 166 70 491 290 117 64 62 27 217 1 503

2013 Mar 159 76 501 293 98 72 70 30 203 1 504

Jun 169 80 522 292 102 80 63 26 216 1 550


6 3 Th l d1 ( 15 64 ) b i ti d i 2009 2013 (th d ) ( t )


60/213


Main occupation: ClerksEastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 116 88 520 224 64 77 79 26 231 1 425

Jun 130 91 537 226 63 72 73 31 244 1 466Sep 118 82 531 242 66 70 66 28 257 1 460

Dec 126 90 547 239 64 72 70 32 259 1 499

2010 Mar 138 86 537 224 65 85 69 32 242 1 477

Jun 131 84 547 211 72 79 73 33 237 1 467

Sep 118 83 541 217 65 75 68 28 214 1 411

Dec 138 86 512 253 65 78 71 33 198 1 434

2011 Mar 133 81 493 229 64 69 55 26 191 1 341

Jun 122 81 495 243 66 65 59 29 198 1 358

Sep 134 78 522 257 73 65 64 30 203 1 426

Dec 158 82 532 257 70 77 72 34 240 1 523

2012 Mar 120 77 508 238 76 72 76 32 220 1 419

Jun 123 68 510 225 70 72 69 32 237 1 406

Sep 120 72 501 221 70 72 72 41 220 1 390

Dec 106 56 534 251 71 79 75 33 239 1 443

2013 Mar 108 63 518 236 80 82 77 34 237 1 435

Jun 121 65 533 251 81 83 74 35 231 1 474

Labour statistics54

6 3 The employed1 (ages 15 64 years) by main occupation and province 2009 2013 (thousands) (cont )


61/213


Main occupation: Service

workers and shop and

market sales workers

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 169 92 536 354 150 123 120 39 223 1 807Jun 165 98 560 344 148 127 120 37 233 1 831

Sep 197 97 555 349 146 129 108 39 210 1 829

Dec 196 105 579 347 140 125 107 42 245 1 886

2010 Mar 186 102 571 346 139 130 103 40 234 1 852

Jun 192 108 579 358 147 119 112 37 232 1 883

Sep 184 107 569 360 131 116 108 45 237 1 858

Dec 199 108 596 335 147 128 106 41 221 1 882

2011 Mar 196 104 610 352 159 125 105 39 213 1 904

Jun 211 105 599 372 149 124 102 40 243 1 944

Sep 215 117 616 357 167 131 96 38 239 1 975

Dec 219 115 568 370 170 126 100 40 252 1 960

2012 Mar 232 106 563 362 163 132 98 36 278 1 969

Jun 215 121 564 366 164 134 89 42 260 1 956

Sep 198 101 614 391 182 144 115 46 271 2 062

Dec 195 107 576 365 180 133 129 49 261 1 996

2013 Mar 203 100 585 343 183 140 117 40 238 1 951

Jun 184 105 586 362 167 136 123 43 264 1 970


6 3 The employed1 (ages 15 64 years) by main occupation and province 2009 2013 (thousands) (cont )


62/213


Main occupation: Skilled

agricultural and shery

workers EasternCape Free State Gauteng KwaZulu-Natal Limpopo Mpuma-langa North West NorthernCape WesternCape SouthAfrica2009 Mar 14 17 24 17 15 11 11 119

Jun 17 14 ~ 83Sep 16 15 13 72Dec 11 17 17 85

2010 Mar 18 18 12 90Jun 16 26 12 23 115Sep 25 14 76Dec 22 14 73

2011 Mar 19 18 75Jun 16 71Sep 61Dec 13 12 67

2012 Mar 14 61Jun 18 67Sep 12 11 11 67Dec 14 11 60

2013 Mar 12 12 13 70Jun 16 59

Labour statistics56

6 3 The employed1 (ages 15-64 years) by main occupation and province 2009-2013 (thousands) (cont )


63/213

6.3 The employed (ages 15 64 years) by main occupation and province, 2009 2013 (thousands) (cont.)

Main occupation: Craft

and related trades

workers EasternCape FreeState Gauteng KwaZulu-Natal Limpopo Mpuma-langa NorthWest NorthernCape WesternCape SouthAfrica2009 Mar 136 128 580 332 130 155 127 27 249 1 862

Jun 157 111 541 349 118 150 143 27 235 1 831

Sep 126 91 467 303 125 138 140 22 207 1 619

Dec 117 98 457 320 121 133 126 26 218 1 615

2010 Mar 111 92 474 332 115 127 126 23 227 1 627

Jun 116 88 460 296 151 134 92 23 230 1 590

Sep 131 87 456 303 146 139 102 32 211 1 607

Dec 128 91 431 280 154 138 103 27 212 1 566

2011 Mar 129 93 474 308 135 142 107 29 204 1 621

Jun 120 95 460 327 134 123 106 24 187 1 576

Sep 128 141 452 318 130 143 111 35 199 1 655

Dec 141 84 438 345 136 149 100 27 217 1 637

2012 Mar 153 81 458 318 134 141 102 31 187 1 605

Jun 144 83 422 306 147 157 106 32 183 1 581

Sep 158 83 502 279 165 142 112 29 192 1 662

Dec 145 100 527 254 154 150 117 28 184 1 660

2013 Mar 167 86 493 257 134 145 93 26 172 1 573

Jun 143 97 456 290 156 144 106 26 192 1 610


6.3 The employed1 (ages 15-64 years) by main occupation and province, 2009-2013 (thousands) (cont.)


64/213

6.3 The employed (ages 15 64 years) by main occupation and province, 2009 2013 (thousands) (cont.)

Main occupation: Plant

and machine operators

and assembler

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 88 62 395 289 52 82 102 18 164 1 252Jun 115 61 370 285 51 82 97 20 140 1 221

Sep 89 63 341 283 46 91 71 15 136 1 135

Dec 101 64 344 265 57 80 70 15 131 1 127

2010 Mar 93 53 314 271 51 80 79 17 132 1 091

Jun 80 59 317 254 61 78 82 14 141 1 087

Sep 117 55 347 264 57 84 90 14 134 1 162

Dec 95 54 367 251 60 66 89 12 132 1 125

2011 Mar 90 60 357 252 60 78 86 21 131 1 134

Jun 97 52 338 260 64 86 75 17 132 1 121

Sep 85 57 319 255 70 95 72 17 127 1 097

Dec 93 61 347 257 65 92 71 15 126 1 126

2012 Mar 87 65 302 266 86 91 66 18 125 1 106

Jun 97 63 285 273 88 91 74 14 126 1 111

Sep 99 64 330 269 94 80 79 17 118 1 150

Dec 87 59 318 250 97 93 75 19 142 1 139

2013 Mar 99 74 313 284 95 95 91 21 148 1 222

Jun 89 68 332 273 88 106 87 22 129 1 195


65/213




66/213

p y ( g y ) y p p , ( ) ( )

Main occupation:

Domestic workers EasternCape Free State Gauteng KwaZulu-Natal Limpopo Mpuma-langa North West NorthernCape WesternCape SouthAfrica2009 Mar 111 63 281 237 68 74 56 24 98 1 011

Jun 98 63 281 195 61 69 49 21 104 942Sep 86 65 255 189 59 77 47 21 105 904

Dec 93 67 240 181 58 67 47 24 104 881

2010 Mar 98 61 242 176 64 64 45 23 100 873

Jun 97 70 246 170 75 68 51 23 92 892

Sep 94 70 246 162 78 63 55 25 95 887

Dec 91 75 249 155 73 63 46 26 91 869

2011 Mar 109 70 263 149 74 63 41 20 89 877

Jun 78 57 270 178 65 64 44 21 101 876

Sep 85 63 257 173 69 69 38 20 104 878

Dec 88 63 272 159 61 73 44 23 96 878

2012 Mar 67 69 279 192 54 72 44 18 102 896

Jun 74 76 278 192 61 66 45 18 103 913

Sep 79 77 223 185 67 71 51 19 103 876

Dec 89 75 238 176 69 68 36 25 85 861

2013 Mar 100 67 232 202 68 71 39 17 82 877

Jun 94 77 245 188 76 70 43 24 80 895

Labour statistics60

6.3 The employed1(ages 15-64 years) by main occupation and province, 2009-2013 (thousands) (concl.)


67/213

Main occupation: Total

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 1 326 808 4 266 2 572 935 963 813 280 1 880 13 842

Jun 1 372 770 4 191 2 514 940 924 782 287 1 815 13 595Sep 1 278 757 3 952 2 526 936 908 729 257 1 790 13 133

Dec 1 291 791 3 996 2 476 949 910 728 292 1 817 13 250

2010 Mar 1 267 770 3 944 2 488 898 882 719 270 1 837 13 076

Jun 1 274 778 3 950 2 436 947 899 722 260 1 793 13 061

Sep 1 306 768 3 958 2 401 905 890 714 276 1 754 12 975

Dec 1 328 785 3 953 2 439 962 876 740 278 1 772 13 132

2011 Mar 1 325 780 3 999 2 429 940 877 722 261 1 784 13 118

Jun 1 309 772 3 965 2 500 936 884 691 264 1 805 13 125

Sep 1 298 826 3 983 2 510 1 026 911 680 278 1 806 13 318

Dec 1 326 753 4 115 2 562 985 923 700 291 1 842 13 497

2012 Mar 1 279 737 4 140 2 519 996 913 704 286 1 847 13 422

Jun 1 298 728 4 125 2 520 1 018 953 709 281 1 815 13 447

Sep 1 330 736 4 194 2 533 1 084 928 745 290 1 806 13 645

Dec 1 261 732 4 178 2 493 1 092 959 747 292 1 824 13 577

2013 Mar 1 312 754 4 184 2 520 1 053 970 731 286 1 810 13 621

Jun 1 321 761 4 180 2 533 1 071 1 002 748 295 1 810 13 721


6.4 The employed1(ages 15-64 years) by main industry and province, 2009-2013 (thousands)


68/213

Main industry:

Agriculture, hunting,

forestry and shing EasternCape Free State Gauteng KwaZulu-Natal Limpopo Mpuma-langa North West NorthernCape WesternCape SouthAfrica2009 Mar 84 89 60 138 62 83 46 43 140 744Jun 87 88 43 107 70 81 42 61 140 718

Sep 74 85 45 116 65 75 35 41 123 660

Dec 67 75 26 111 59 68 38 51 128 624

2010 Mar 62 75 32 120 46 67 38 46 172 658

Jun 54 75 31 114 55 78 40 32 149 630

Sep 76 67 34 119 58 74 35 40 136 640

Dec 66 64 27 121 67 74 31 54 122 627

2011 Mar 64 62 34 108 52 71 37 53 121 603

Jun 61 73 34 99 74 78 32 47 100 598

Sep 67 68 39 97 87 75 31 47 113 624

Dec 64 62 64 95 90 75 30 55 100 635

2012 Mar 47 72 62 91 88 83 38 47 127 656Jun 60 56 69 91 99 85 34 43 102 638

Sep 60 68 49 89 109 87 31 45 123 661

Dec 60 63 45 99 117 95 28 49 129 685

2013 Mar 92 89 43 99 114 96 34 46 126 739

Jun 88 65 44 96 125 103 32 43 117 712

Labour statistics62

6.4 The employed1(ages 15-64 years) by main industry and province, 2009-2013 (thousands) (cont.)


69/213

Main industry: Mining and

quarrying

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 34 38 43 61 135 11 338

Jun 33 30 13 55 61 118 11 325Sep 28 33 53 61 105 304Dec 38 21 53 53 113 11 301

2010 Mar 34 20 51 57 120 303Jun 31 27 64 59 111 12 315Sep 32 38 46 58 106 12 303Dec 29 23 13 48 50 123 298

2011 Mar 21 22 14 57 52 131 11 313Jun 16 31 55 52 108 282Sep 21 25 16 58 72 114 324Dec .. 27 30 13 61 69 110 13 327

2012 Mar .. 28 28 18 70 64 109 16 336Jun 26 32 19 68 67 120 19 357Sep 27 30 18 78 60 115 17 349Dec 27 23 30 75 59 122 17 357

2013 Mar 26 18 24 70 75 129 20 365Jun 22 23 25 71 75 137 18 374




70/213

Main industry:

Manufacturing EasternCape Free State Gauteng KwaZulu-Natal Limpopo Mpuma-langa North West NorthernCape WesternCape SouthAfrica2009 Mar 200 83 706 397 69 86 74 12 302 1 929

Jun 205 75 680 424 68 80 88 291 1 922Sep 163 74 597 407 75 75 83 15 282 1 771Dec 160 80 626 397 80 81 68 13 286 1 792

2010 Mar 140 71 645 419 60 70 64 11 275 1 755

Jun 135 71 633 372 55 81 74 12 272 1 705

Sep 159 66 630 371 66 81 69 11 261 1 713

Dec 163 62 667 371 69 80 77 12 283 1 783

2011 Mar 183 63 663 389 62 77 62 14 290 1 803

Jun 201 60 581 397 71 75 63 277 1 735Sep 171 65 600 400 67 77 67 13 276 1 737

Dec 155 64 608 428 62 76 62 15 320 1 789

2012 Mar 158 54 608 386 69 81 56 16 294 1 722

Jun 158 57 589 389 63 76 56 280 1 678Sep 163 59 607 392 76 77 55 11 287 1 727

Dec 174 71 608 361 71 96 59 11 279 1 730

2013 Mar 176 67 615 365 70 95 61 11 293 1 753

Jun 173 64 633 370 76 94 59 11 257 1 735

Labour statistics64



71/213

Main industry: Electricity,

gas and water supply

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 44 13 16 105Jun 42 21 98Sep 44 14 86Dec 48 17 102

2010 Mar 30 13 72Jun 44 96Sep 42 21 11 99Dec 28 17 23 94

2011 Mar 25 19 22 11 97Jun 19 18 23 12 93Sep 24 14 73Dec 25 22 81

2012 Mar 26 24 91Jun 22 13 11 26 98Sep 28 22 13 105Dec 29 14 12 17 12 98

2013 Mar 45 13 18 11 117Jun 34 24 15 115




72/213

Main industry:

Construction

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 91 66 337 227 90 94 47 21 187 1 158

Jun 112 55 319 242 89 88 48 23 173 1 149Sep 107 59 283 244 91 88 55 11 159 1 097

Dec 115 58 280 238 106 84 55 18 171 1 127

2010 Mar 110 47 280 243 105 65 52 15 144 1 060

Jun 113 50 272 236 95 68 43 18 153 1 049

Sep 120 51 308 231 94 72 38 20 141 1 076

Dec 129 54 274 225 109 74 43 18 130 1 056

2011 Mar 120 56 284 226 93 69 45 14 124 1 031

Jun 118 54 313 235 78 69 45 13 118 1 043

Sep 107 108 259 234 111 76 41 21 129 1 086

Dec 124 49 259 239 95 78 49 19 144 1 057

2012 Mar 108 47 265 210 92 64 46 19 135 986

Jun 106 48 269 211 94 76 45 20 144 1 012Sep 143 51 279 215 101 66 42 14 135 1 046

Dec 131 52 287 220 99 73 43 18 138 1 061

2013 Mar 128 54 278 215 87 71 37 21 129 1 020

Jun 134 51 268 237 105 79 46 21 142 1 083

Labour statistics66



73/213

Main industry: Wholesale

and retail trade

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 319 166 922 527 232 229 188 49 425 3 057

Jun 325 161 909 531 246 213 180 43 397 3 006

Sep 290 163 886 532 249 214 135 40 396 2 903

Dec 282 171 877 531 264 231 144 44 389 2 933

2010 Mar 305 161 834 528 250 212 144 46 400 2 882

Jun 311 166 866 513 256 213 148 45 387 2 903

Sep 328 181 907 509 233 214 164 42 369 2 947

Dec 313 169 922 523 250 219 162 39 379 2 975

2011 Mar 295 167 930 536 243 218 150 35 388 2 962

Jun 286 178 899 555 224 217 141 39 406 2 944

Sep 296 176 894 605 252 222 130 40 397 3 012

Dec 308 173 914 614 242 222 138 42 401 3 055

2012 Mar 327 160 944 570 246 228 152 41 391 3 057

Jun 324 156 851 545 259 249 145 42 395 2 966Sep 313 149 910 524 259 224 151 48 383 2 962

Dec 284 150 932 497 261 226 142 50 378 2 921

2013 Mar 275 136 934 498 252 208 138 46 368 2 855

Jun 284 145 914 511 243 221 140 51 398 2 906




74/213

Main industry:

Transport, storage and

communication

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 68 38 268 190 48 47 23 11 87 780

Jun 79 39 264 179 39 42 19 12 77 750Sep 76 43 272 177 35 40 19 88 760Dec 82 45 282 159 38 41 24 13 83 767

2010 Mar 77 46 307 159 35 42 25 97 797Jun 71 45 275 164 43 43 22 98 766Sep 67 33 256 194 42 42 22 11 107 773

Dec 70 37 250 185 39 34 21 12 112 761

2011 Mar 57 36 244 174 33 34 21 14 113 727

Jun 74 31 278 181 34 39 24 11 106 777

Sep 75 33 278 156 35 42 22 105 756Dec 75 35 298 171 39 39 26 96 788

2012 Mar 75 27 263 180 55 48 26 100 783Jun 69 30 254 196 53 56 30 96 791Sep 69 32 293 206 54 47 31 92 834Dec 65 28 296 186 49 53 33 96 816

2013 Mar 64 37 287 198 35 41 28 113 813Jun 70 34 311 190 32 39 23 15 117 832

Labour statistics68



75/213

Main industry: Financial

intermediation, insurance,

real estate and business

services

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 108 66 790 284 61 97 66 21 273 1 766

Jun 131 68 794 287 53 92 68 19 249 1 760

Sep 131 61 745 313 57 81 67 20 259 1 735

Dec 131 55 817 306 64 87 67 24 259 1 812

2010 Mar 116 58 760 275 45 88 66 18 256 1 681

Jun 116 68 744 312 63 83 60 22 256 1 723

Sep 102 73 677 279 64 89 62 26 252 1 625

Dec 110 83 675 266 58 82 55 22 244 1 594

2011 Mar 125 80 705 259 64 82 61 15 239 1 631

Jun 139 76 705 274 64 82 55 24 286 1 704

Sep 138 75 744 287 69 81 63 23 288 1 768

Dec 147 62 740 277 66 84 56 27 281 1 7392012 Mar 126 70 761 276 58 79 52 24 293 1 741

Jun 102 76 786 282 55 85 45 25 282 1 737

Sep 120 66 804 298 61 97 64 29 273 1 811

Dec 106 66 773 302 68 83 78 23 305 1 804

2013 Mar 112 61 755 316 63 84 62 25 303 1 781

Jun 107 59 820 299 61 93 63 24 292 1 818




76/213

Main industry: Community,

social and personal

services

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 304 170 750 503 228 157 147 79 336 2 675

Jun 308 166 766 476 233 158 146 79 355 2 686

Sep 321 159 718 489 218 163 158 83 349 2 658

Dec 331 168 708 490 198 164 154 85 364 2 661

2010 Mar 332 188 698 501 205 183 142 84 363 2 695

Jun 336 178 733 482 204 178 154 84 360 2 710

Sep 330 173 744 470 198 168 146 85 364 2 678

Dec 356 191 770 510 215 160 168 79 377 2 826

2011 Mar 333 199 760 514 227 172 152 79 390 2 828

Jun 326 197 769 509 249 164 151 83 382 2 831

Sep 330 197 805 486 257 163 151 83 364 2 836

Dec 339 192 830 516 244 163 165 79 374 2 902

2012 Mar 336 181 824 540 234 149 161 83 382 2 891Jun 363 176 900 544 236 148 164 89 391 3 012

Sep 348 180 899 560 242 158 175 87 377 3 025

Dec 320 183 888 566 249 168 184 83 388 3 028

2013 Mar 331 194 904 561 256 191 181 84 369 3 072

Jun 342 222 828 577 254 188 180 83 375 3 050

Labour statistics70



77/213

Main industry: Private

households

Eastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 145 91 351 286 94 93 83 31 118 1 291

Jun 120 82 344 247 82 87 68 28 125 1 182

Sep 109 82 330 236 85 97 68 25 128 1 161

Dec 118 97 310 227 80 83 63 29 124 1 132

2010 Mar 122 86 337 229 96 87 65 30 122 1 174

Jun 131 90 326 226 102 86 67 27 108 1 163

Sep 118 89 323 214 96 71 71 29 110 1 120

Dec 120 91 317 208 98 80 59 32 113 1 118

2011 Mar 139 90 332 188 101 81 61 25 106 1 123

Jun 97 83 337 226 81 87 67 26 114 1 119

Sep 106 82 316 220 84 90 59 27 119 1 102

Dec 110 85 346 202 78 95 61 28 118 1 124

2012 Mar 94 92 359 239 76 94 60 25 118 1 158

Jun 106 97 354 229 81 86 64 23 117 1 157Sep 109 97 296 222 96 88 73 26 119 1 125

Dec 116 91 296 217 90 88 53 30 96 1 077

2013 Mar 131 82 303 235 93 91 54 20 97 1 107

Jun 114 94 304 220 96 87 61 27 94 1 096


6.4 The employed1(ages 15-64 years) by main industry and province, 2009-2013 (thousands) (concl.)


78/213

Source: Stats SA, Quarterly Labour Force Survey (Statistical release P0211)

Main industry: TotalEastern


KwaZulu-

Natal Limpopo

Mpuma-

langa North West

Northern

Cape

Western

Cape

South

Africa

2009 Mar 1 326 808 4 266 2 573 935 963 813 280 1 880 13 843

Jun 1 372 770 4 191 2 514 940 924 782 287 1 815 13 595

Sep 1 278 757 3 952 2 526 936 908 729 257 1 790 13 133

Dec 1 291 791 3 996 2 476 949 910 728 292 1 817 13 250

2010 Mar 1 267 770 3 944 2 488 898 882 719 270 1 837 13 076

Jun 1 274 778 3 950 2 436 947 899 722 260 1 793 13 061

Sep 1 306 768 3 958 2 401 905 890 714 276 1 754 12 975

Dec 1 328 785 3 953 2 439 962 876 740 278 1 772 13 132

2011 Mar 1 325 780 3 999 2 429 940 877 722 261 1 784 13 118

Jun 1 309 772 3 965 2 500 936 884 691 264 1 805 13 125

Sep 1 298 826 3 983 2 510 1 026 911 680 278 1 806 13 318

Dec 1 326 753 4 115 2 562 985 923 700 291 1 842 13 497

2012 Mar 1 279 737 4 140 2 519 996 913 704 286 1 847 13 422

Jun 1 298 728 4 125 2 520 1 018 953 709 281 1 815 13 447Sep 1 330 736 4 194 2 533 1 084 928 745 290 1 806 13 645

Dec 1 261 732 4 178 2 493 1 092 959 747 292 1 824 13 577

2013 Mar 1 312 754 4 184 2 520 1 053 970 731 286 1 810 13 621

Jun 1 321 761 4 180 2 533 1 071 1 002 748 295 1 810 13 721

Labour statistics72

6.5 Number of employees and gross earnings by industry

As from December 2004 Stats SA introduced a new employment statistics survey that covers employing enterprises in the formal non-agricultural business sector of the South


79/213

As from December 2004, Stats SA introduced a new employment statistics survey that covers employing enterprises in the formal non-agricultural business sector of the South

African economy that are registered for Income Tax (IT), resulting in the extensive coverage of all small businesses. Previously the coverage was restricted to both employing and

non-employing VAT registered enterprises with an annual turnover of R300 000 or more. By restricting the coverage to employing businesses, the new survey is able to provide

estimates for employment and earnings as well as estimates for average monthly earnings and it is in accordance with the International Labour Organisation (ILO) denitions

and concepts.

Introduction of the new sample from the June quarter 2006 enables Stats SA to provide users with survey results for the June and September 2006 quarters from the new sample.

Stats SA has been working for some years to improve the quality of its economic statistics. The latest series to benet from these improvements are those for employment and

average monthly earnings derived from the Quarterly Employment Statistics (QES) survey, a survey of formal non-agricultural businesses and other entities which are employers.

Considerable work has been undertaken over the last two years to improve the completeness of the list of employers in the economy, held on Stats SAs Business Register, from

which the samples for the survey are drawn. Greater use has been made of additional administrative sources of employer entities, particularly the lists maintained by the South

African Revenue Service (SARS) of employers making contributions on behalf of their employees for Pay As You Earn (PAYE), and the Department of Labours Unemployment

Insurance Fund (UIF).

It is important to distinguish between the lift in the level of the series from improvements in the coverage of employers and the growth in employment shown by the series due to

new employer entities entering the economy and continuing employers taking on additional staff. This break in series relates mainly to the level of employment, rather than the

growth rate of employment. However, an outcome of not publishing data from a sample revised in 2005 has been that any new employer entity commencing operations from early

2004 onwards would not have had a chance of being selected until the reselection of the sample in March 2006. The effect is that the published series based on the 2004 sample

show somewhat smaller growth than would have been shown from a sample revised in 2005.

Further factors affecting the growth of the series between 2004 and 2006 were the expansion of the formal sector as a result of legislative changes, growth resulting from small

businesses moving from the informal to the formal sector and greater overall compliance by businesses leading to their registration for PAYE and/or UIF.

Employment and gross earnings - Unless otherwise indicated in a subscription, the following is applicable: Employment refers to the number of people employed by the business,

who received payment (in salaries; wages; commission, in addition to a retainer, salary or wage; piece rates; or payments in kind) for any part of the reference period. Thisexcludes independent contractors and consultants; working proprietors; sole and joint owners; employees paid on a commission basis where a retainer, salary or wage was not

paid; and employees based in South Africa but paid from abroad, e.g. embassy employees.

Annual employment data are shown as at 30 June of the relevant year, whereas quarterly data are shown as at the last pay-day of the relevant quarter.


Gross earnings are payments for ordinary, standard or agreed hours during the reference period for all permanent, temporary, casual, executive and managerial employees,

before taxation and other deductions. Gross earnings include salaries and/or fees paid to all directors, executives and managers; employers contributions to holiday, pension,

provident and medical funds and contributions to the Unemployment Insurance and Compensation Funds; payments paid from South Africa to employees based abroad e g


80/213

provident and medical funds and contributions to the Unemployment Insurance and Compensation Funds; payments paid from South Africa to employees based abroad, e.g.

embassy employees; payments for all types of leave, except those paid on termination; fringe benets paid in cash such as housing, mortgage and rent subsidies, transport

allowances, and cell phone allowances; allowances and penalty payments relating to ordinary-time hours. Annual gross earnings data reect the total for the relevant year,

whereas quarterly data are the sum of the gross earnings for the three months of the relevant quarter.

Labour statistics74

6.5.1 Number of employees and gross earnings by industry, 2012

N b f l G i


81/213

Source: Stats SA, Quarterly employment statistics(Statistical release P0277)

Due to rounding, industrial numbers do not necessarily add up to the total.1Data are obtained from the Minerals Bureau, Department of Mineral Resources.

Industry

Number of employees

(thousands)

Gross earnings

(R millions)

Mar Jun Sep Dec Mar Jun Sep Dec

Mining and quarrying1 523 534 518 515 22 051 23 272 23 793 24 159

Manufacturing 1 155 1 146 1 150 1 149 43 066 43 876 45 073 50 700Electricity, gas and water supply 61 62 62 62 4 719 4 873 6 370 6 321

Construction 431 433 434 427 12 774 13 500 13 977 15 681

Wholesale and retail trade; repair of motor vehicles, motor

cycles and personal and household goods; hotels and

restaurants 1 678 1 688 1 690 1 710 45 003 45 437 47 234 52 800

Transport, storage and communication 369 374 372 383 18 754 20 687 21 700 22 609

Financial intermediation, insurance, real estate and

business services 1 832 1 834 1 835 1 843 87 523 84 663 86 019 90 170

Community, social and personal services 2 335 2 359 2 378 2 367 115 042 116 131 127 743 129 993

Total (all industries) 8 383 8 429 8 440 8 456 348 921 352 439 371 908 392 432


6.6 Average monthly earnings, at current prices, by industry, 2012 (Rands)

I l di b d ti E l di b d ti


82/213

Source: Stats SA, Quarterly employment statistics(Statistical release P0277)

1Data are obtained from the Minerals Bureau, Department of Mineral Resources. At this stage the Department of Mineral Resources is unable to provide data items with regard

to bonuses and overtime payments separately.

Average monthly earnings at current prices are calculated by dividing the total gross earnings, excluding severance, termination and redundancy payments, for the reference

month by the number of employees as at the end of the reference month.

Including bonuses and overtime

payments

Excluding bonuses and overtime

payments

Feb May Aug Nov Feb May Aug Nov

Mining and quarrying1 14 175 14 645 14 948 15 837 .. .. .. ..

Manufacturing 12 030 12 340 12 687 13 024 11 127 11 399 11 759 11 909Electricity, gas and water supply 25 880 26 505 28 149 28 900 23 947 24 354 26 042 26 572

south africa stats in brief 2013

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