STATS SA

THE SOUTH AFRICA I KNOW, THE HOME I UNDERSTAND

STATS SA

The world of workin Free State

Joyce Jefferis

Free State Isibalo SymposiumBloemfontein 10-11 October 2013


STATS SA

Presentation outline

Part 1: Based on the QLFS• Labour market indicators Free State compared with the

national average• Provincial comparisons

Part 2: Based on the population Censuses (1996 & 2011)• Labour market results at DC level across the country

(top/bottom) DCs• Labour market results at DC level for Free State• Labour market results at Municipality level for Free State


STATS SA

Firms demand labour

Individuals supply labour

What is the labour market?

Important vehicle for distributing the benefits of economic development


STATS SA

Production: Real GDP (2005 prices y-o-y)

96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11-6.0

-4.0

-2.0

0.0

2.0

4.0

6.0

8.0

Free State RSA


STATS SA

51,8 million people and 5% of these (2,7 million) lived in Free State

The population in South Africa, 2011


STATS SA

Free State Population %Xhariep 142 394 5,3Lejweleputswa 609 859 22,8Thabo Mofutsanyane 725 780 27,1Fezile Dabi 470 014 17,6Mangaung 727 730 27,2Total 2 675 777 100,0

Distribution of the population in Free State

Mangaung had the largest population

(27,2%) and Xhariep had the smallest (5,3%)


STATS SAEmployment: Year on year changes

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2-15.0

-10.0

-5.0

0.0

5.0

10.0Free State South Africa

2009 2010 2011 2012 2013

1 million jobs lost in RSA55 thousand in Free State

Peak in Q4: 2008LatestRSA : 14,0 m13,7 mFree State: 823 th 761 th


STATS SA

Industries: Annual job losses 2008 to 2012

Trade

Manufacturing

Agriculture

Transport

Construction

Utilities

Mining

Services

Finance

Phholds

-39

-26

-15

-11

-10

0

0

2

3

5

12,5 15,6 59,0 12,87,5 21,0 63,2 8,30,0

20,0

40,0

60,0

80,0

Primary Secondary Tertiary Phholds

Free State South Africa

Nationally Manufacturing, Trade & construction lost the most jobs


STATS SA

Unemployment rate: Official definition

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q210.0

15.0

20.0

25.0

30.0

35.0

RSA Free State

2008 2009 2010 2011 2012 2013

Free State above the national average by a larger margin since Q3: 2011


STATS SA

Labour absorption rate: South Africa & Free State

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q234.0

36.0

38.0

40.0

42.0

44.0

46.0

48.0

RSA Free State

2008 2009 2010 2011 2012 2013

The percentage of the working age population in Free State with jobs has fallen from almost 46% in Q1:2008 to 40% in Q2:2013


STATS SA

Census: Unemployment rate by province

LimpopoKwaZulu NatalWestern Cape

GautengNorth West

Northern CapeMpumalangaEastern Cape

Free State

South Africa

30.6

22.2

19.1

21.6

22.6

24.4

24.5

24.8

25.8

23.0

18.1

22.7

24.0

25.0

27.1

29.0

29.4

30.8

33.1

25.6

2013 2008

• Highest in FS• Largest increase

in FS & EC


STATS SACensus: Incidence of long term unemployment

LimpopoNorthern CapeWestern CapeKwaZulu-Natal

North WestEastern Cape

Free StateMpumalanga

Gauteng

South Africa

58.3

57.2

46.3

51.4

62.7

55.9

56.1

51.5

70.8

58.8

58.1

59.4

59.4

65.3

65.6

66.2

68.8

73.3

73.8

67.7

2012 2008

Third highest in Free State


STATS SACensus: Discouraged work-seekers % of NEA

Western CapeNorthern Cape

Free StateGauteng

KwaZulu NatalEastern Cape

LimpopoMpumalanga

North West

South Africa

3.2

9.7

9.0

8.8

6.7

11.4

8.9

9.8

12.6

8.7

2.7

9.4

10.0

11.9

15.8

17.2

18.4

23.1

20.6

15.2

2012 2008


STATS SACensus: Occupations, 2012

MP LP NW NC FS KZN EC WC GP RSA

Other occupations 83,6 82,8 81,2 80,7 80,5 76,9 75,6 71,4 68,0 74,7

Skilled occupations 16,4 17,2 18,8 19,3 19,5 23,1 24,4 28,6 32,0 25,3

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%


STATS SACensus: Median monthly earnings

Northern CapeLimpopo

Free StateEastern CapeMpumalanga

KwaZulu-NatalWestern Cape

North WestGauteng

South Africa

2,0002,0002,1662,5132,6002,8003,4233,5004,200

3,100

Third lowest


STATS SA

Hard facts: The job losses in Free State unpacked

SkilledSemi-skilled

Unskilled

15-24yr25-34yr35-44yr45-54yr55-64yr

MenWomen

Less than primaryPrimary

Secondary not completeSecondary complete

Tertiary

-60 -50 -40 -30 -20 -10 0

-26-46-20

-33-26

-1-31

-2

-53-40

-54-11

-4-13

-4

Sex

Education

Age

Occupation

2008 – 2012Free State lost 93 000

jobs


STATS SA

Understandingthe labour market

from a Census perspective

Census


STATS SA

Based on the expanded definition of unemployment.

Industry shares refer to the 1996 Census results because the industry coding for 2011 Census results is still

underway

NoteCensus


STATS SA

Urban and Non-urban unemployment rates

1996 - 2011

Census


STATS SA

Census: Unemployment rate: Largest increase

WC: Overberg

WC: Eden

WC: Central Karoo

FS: Fezile Dabi

FS: Lejweleputswa

KZN: Amajuba

RSA

11.6

21.9

27.5

30.4

29.1

44.1

37.7

24.6

31.8

37.7

41.4

45.6

53.6

40.0

13.0

9.8

10.2

11.0

16.6

9.5

2.3

Increase 2011 1996

Agriculture15-40% of Em-

ployment

Mining : 46% of

Employment


STATS SA

Census: Unemployment rate: Largest decrease

KZN: Sisonke

EC: Chris Hani

EC: Amathole

LP: Greater Sekhukhune

EC: O.R.Tambo

EC: Alfred Nzo

RSA

57.2

60.1

66.9

65.8

67.8

74.6

37.7

54.6

55.1

61.0

61.3

61.9

62.7

40.0

-2.7

-5.0

-5.8

-4.6

-5.9

-11.9

2.3

Decrease 2011 1996

ISRDP interventi

on

ISRDP: Integrated Sustainable Rural Development Programme of 2001


STATS SA

Census: Unemployment rate, most urban DCs

WC: Metro Cape Town

GP: Metro Johannesburg

GP: West Rand

GP: Metro Ekurhuleni

EC: Metro Nelson Mandela Bay

GP: Sedibeng

RSA

22.0

32.0

23.6

34.8

39.3

37.3

37.7

31.2

31.3

32.5

35.2

44.9

39.2

40.0

9.1

-0.7

8.8

0.4

5.6

1.9

2.3

Change 2011 1996Mining : 48% of

Employment

Slight increase

Slight decline

Largest increase

Metro areas feature

prominently


STATS SA

Census: Unemployment rate in Non-Urban areas

LP: Mopani

LP: Vhembe

KZN: Uthungulu


EC: Alfred Nzo

KZN: Umkhanyakude

RSA

49.8

55.2

62.2

67.6

77.8

66.0

49.8

53.4

57.9

59.7

63.4

67.0

67.5

53.5

3.7

2.7

-2.5

-4.2

-10.8

1.5

3.7

Change 2011 1996Rates much higher than in urban areas

ISRDP: Integrated Sustainable Rural Development Programme of 2001

Largest decline in rates in 2 DCs

(ISRDP)


STATS SA

Census: NEET rate among youth (15-24 yrs)

LP: Capricorn

LP: Vhembe

WC: Cape Winelands

GP: Metro Tshwane

KZN: Umkhanyakude

LP: Mopani

FS: Metro Mangaung

RSA

19.5

20.8

19.7

22.1

31.6

22.0

20.6

25.9

24.7

25.5

26.8

26.8

27.2

28.0

29.1

31.6

2011 1996Lowest

WC: Central Karoo

EC: Cacadu

NC: Frances Baard

FS: Lejweleputswa

NC: Namakwa

NW: Bojanala

NC: Pixley ka Seme

RSA

33.3

27.5

30.8

24.3

37.4

29.0

32.7

25.9

37.5

37.8

37.9

38.4

38.5

38.9

40.1

31.6

2011 1996Highest


Unemployment rate and level of education

by sex and area type in 2011

CensusSTATS SA


Urban Traditional Farm

30.2 57.1 11.940.2 67.1 30.3

South Africa, 2011


Census: Unemployment rate by Area type and sex, 2011

Lowest unemployment rate but sometimes poor employment conditions

STATS SA

Men Women

34.246.0



48.8503184323

53

66.0092087909

572

76.1616718191

777

50.7325705346

461

33.8185026239

67

23.6362912322

791


South Africa 2011Below matric :54,1Matric and higher :45,6

STATS SA

Census: Education levels of the labour force, 2011 Worst education profile

in farm areas.But lowest

unemployment rate


STATS SA

FS: Metro Mangaung


GP: West Rand

GP: Sedibeng


FS: Fezile Dabi

FS: Lejweleputswa

RSA

30.4

29.6

25.3

33.0

41.2

35.2

39.3

30.2

41.0

42.2

42.4

47.4

49.2

52.8

56.8

40.2

10.6

12.6

17.1

14.4

8.0

17.6

17.6

10.0

Difference

Census: Unemployment rate by sex in the most urbanised DCs, 2011

Largest gender gap where mining is

dominant


Census: Unemployment rate by sex, most traditional areas, 2011STATS SA

LP: Mopani

KZN: Uthungulu

EC: Alfred Nzo

EC: O.R.Tambo

KZN: Umkhanyakude


RSA

52.2

57.4

67.5

69.0

67.1

58.3

57.1

64.8

67.9

68.2

70.4

71.1

74.6

67.1

12.6

10.6

0.7

1.4

3.9

16.3

10.0Generally the highest rates in the country for Men & Women

Difference


STATS SA

WC: Cape Winelands

NC: Siyanda

WC: West Coast

WC: Overberg

WC: Central Karoo

FS: Xhariep

RSA

7.1

5.1

5.5

6.4

3.5

3.4

11.9

13.8

14.7

16.9

20.4

29.8

35.1

30.3

6.7

9.7

11.4

14.0

26.3

31.6

18.4

Census: Unemployment rate by sex in farm areas, 2011

Relatively large gender imbalances but lowest rates in the country for Men & Women

Difference

Agriculture accounts for 25-40% of total employment in all

DCs


STATS SA

Employment in the formal and informal

sector2011

Census


STATS SA

Census: DCs with highest % of formal sector jobs, 2011

GP: Metro City of Jo'burg



WC: Metro City of Cape Town

KZN: Metro eThekwini

WC: West Coast

RSA

76.5

78.3

78.5

79.3

80.1

82.2

74.0

8.3

8.5

8.9

9.5

8.7

9.6

12.2

12.9

10.6

10.1

9.0

8.6

6.2

11.4

Formal Informal Private households Unsp


STATS SA

NC: Namakwa

EC: Alfred Nzo

EC: Joe Gqabi

LP: Vhembe

NW: Dr Ruth Segomotsi Mompati

FS: Xhariep

RSA

19.5

20.0

21.4

21.5

21.7

24.2

12.2

70.7

65.7

62.0

61.8

57.0

56.6

74.0

8.3

12.0

13.8

14.9

18.5

17.0

11.4

Informal Formal Private households Unsp

Census: DCs with highest % of informal sector jobs, 2011

Highest in the country


STATS SA

Free StateLabour market outcomes

at DC level

Census


STATS SA

Census: The working age population in Free State, 2011

C. 399 000

A. 490 000

B. 453 000

D. 306 000

E. 89 000


STATS SA

Census: Labour force by area type

84.7

6.88.5

Free State

Urban TraditionalFarm

95.0

2.1 2.9

Mangaung


61.6

25.4

13.0

Thabo Mofutsanyane


91.0

9.0

Fezile Dabi

Urban Farm

92.6

7.4

Lejweleputswa

Urban Farm

77.0

23.0

Xhariep

Urban Farm

Education matters


STATS SA

Census: Education profile of the labour force Below matric Matric only Tertiary

1996 2011

Mangaung

Fezile Dabi

Thabo Mofutsanyane

Lejweleputswa

Xhariep

Free State

70.4

76.4

78.4

82.7

83.7

77.8

17.7

14.1

12.6

11.0

9.8

13.4

9.0

7.0

6.1

4.7

5.3

6.5

Mangaung

Fezile Dabi

Thabo Mofutsanyane

Lejweleputswa

Xhariep

Free State

50.5

58.0

61.4

62.4

70.7

58.3

33.3

31.6

28.9

28.9

22.5

30.4

15.8

10.0

9.5

8.5

6.7

11.1

Mangaung has the best education profile


STATS SA

Census:

199633,0%

201142,1%33,8

35,5

39,247,7

29,145,6

33,840,0

30,441,4

Mangaung

Thabo Mofutsanyane

Lejweleputswa

Fezile Dabi

Xhariep

Lejweleputswa 16,6 (46%)Fezile Dabi 11,0 (29%)Thabo Mofutsanyane 8,5 (25%)Xhariep 6,2 (34%)Mangaung 1,8Free State 9,1

• Largest increase in Lejweleputswa• Highest rate in Thabo Mofutsanyane

Increase (ppoints)

Unemployment rate in Free state


STATS SA

Census: Labour absorption rate

Thabo Mo-futsanyane

Lejweleputswa

Xhariep

Fezile Dabi

Mangaung

Free State

35.5

49.8

41.0

43.5

43.4

42.1

31.8

35.9

36.9

38.5

43.2

37.4

2011 1996Best opportunities for employment in Mangaung


STATS SACensus: Formal and informal sector in 2011

Xhariep

Thabo Mofutsanyane

Mangaung

Fezile Dabi

Lejweleputswa

Free State

56.6

68.3

69.2

69.2

71.3

68.8

24.2

15.6

12.6

14.6

12.3

14.1

17.0

13.6

15.8

13.7

13.9

14.6

Formal Informal Phh UnspInformal sector employment is highest in Xhariep


STATS SA

Census: Unemployment rate by age and sex, 2011

Mangaung

Xhariep

Fezile Dabi

Lejweleputswa

Thabo Mofutsanyane

45.6

48.1

52.2

57.9

58.6

24.2

30.4

29.3

32.1

34.8

21.4

17.6

22.9

25.8

23.8

Difference 35-64yr 15-34yr

Mangaung

Xhariep

Fezile Dabi

Lejweleputswa

Thabo Mofutsanyane

41.0

51.4

51.8

55.9

55.7

30.1

29.8

32.1

36.2

39.0

10.9

21.6

19.7

19.6

16.7

Difference Men Women


STATS SACensus: Unemployment rate, Municipalities

LetsemengKopanongMohokare

NalediTokologo

MatjhabengTswelopele

NalaMasilonyana

DihlabengMantsopaPhumelelaNketoana

SetsotoMaluti a Phofung

MetsimaholoMoqhakaNgwathe

Mafube

Free State

34.1

35.3

29.3

36.3

27.6

27.9

30.1

36.9

30.9

25.7

32.3

28.8

28.2

25.9

53.8

29.6

26.6

36.2

33.8

33.0

36.7

38.1

42.4

45.6

37.3

44.8

46.3

49.5

49.5

38.1

39.6

42.1

42.9

47.7

55.3

38.2

42.1

43.4

45.4

42.1

2011 1996

Xhari

ep

Lejw

ele

puts

wa

Thabo

Mofu

tsanyane

Fezi

le D

abi

Largest increase

4th Largest increase3rd Largest increase

2nd Largest increase

Lowest rate

Highest rate but smallest increase

60%40%20%


STATS SA

Census:Education profile of the labour force municipalities

MoqhakaNgwathe

SetsotoDihlabeng

MasilonyanaMetsimaholo

NketoanaMafube

Maluti a PhofungTokologo

TswelopeleLetsemengPhumelelaMantsopaKopanong

MatjhabengMohokare

NalediNala

54.856.557.958.659.262.762.763.164.967.268.168.269.070.370.471.372.372.374.1

44.843.341.841.140.537.037.136.634.932.631.731.530.829.529.428.427.527.525.7

Below matricMatric plus


STATS SA

Census

MoqhakaNgwathe

SetsotoDihlabeng

MasilonyanaMetsimaholo

NketoanaMafube

Maluti a PhofungTokologo

TswelopeleLetsemengPhumelelaMantsopaKopanong

MatjhabengMohokare

NalediNala

54.8

56.5

57.9

58.6

59.2

62.7

62.7

63.1

64.9

67.2

68.1

68.2

69.0

70.3

70.4

71.3

72.3

72.3

74.1

44.8

43.3

41.8

41.1

40.5

37.0

37.1

36.6

34.9

32.6

31.7

31.5

30.8

29.5

29.4

28.4

27.5

27.5

25.7

Below matric Matric and higher Unsp

Education level of the labour force, 2011

Thank you


STATS SACensus

1996 1 WC 2 EC 3 NC 4 FS 5 KZN 6 NW 7 GP 8 MP 9 LP Grand Total

1 Agriculture 12,6 7,8 24,6 15,0 6,6 13,7 1,1 10,7 15,0 8,52 Mining 0,1 0,6 4,6 6,1 0,7 13,7 2,0 5,6 3,2 2,83 Manufacturing 18,0 18,4 7,4 7,6 18,2 9,7 17,6 11,6 9,3 15,44 Utilities 1,4 0,8 0,9 2,0 1,7 0,5 1,0 2,9 2,3 1,45 Construction 5,8 4,9 3,9 5,1 4,7 3,0 3,9 5,6 6,0 4,76 Trade 17,5 12,9 13,8 11,7 16,0 14,6 16,7 14,5 11,2 15,37 Transport 5,1 4,6 3,0 4,5 6,7 3,9 6,3 5,0 2,6 5,48 Finance 8,7 5,6 3,7 6,4 7,4 3,6 13,2 6,2 3,0 8,39 Services 21,1 31,3 20,7 24,0 23,6 21,9 18,8 20,4 30,4 22,592 Phholds 6,8 10,4 13,6 14,3 7,5 11,3 8,1 10,1 7,1 9,094 Nes 2,9 2,7 3,8 3,4 6,9 4,1 11,2 7,5 9,9 6,8Grand Total 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0

2013

1 Agriculture 6,4 6,7 14,6 8,5 3,8 4,3 1,1 10,3 11,6 5,22 Mining 0,1 0,1 6,3 2,9 1,0 18,3 0,6 7,5 6,6 2,73 Manufacturing 14,2 13,1 3,6 8,4 14,6 7,8 15,2 9,3 7,1 12,64 Utilities 0,8 0,6 0,6 0,8 0,4 1,0 0,8 2,4 0,8 0,85 Construction 7,9 10,2 7,2 6,7 9,4 6,1 6,4 7,9 9,8 7,96 Trade 22,0 21,5 17,3 19,1 20,2 18,7 21,9 22,0 22,7 21,27 Transport 6,5 5,3 5,0 4,5 7,5 3,1 7,4 3,9 3,0 6,18 Finance 16,2 8,1 8,2 7,7 11,8 8,4 19,6 9,2 5,7 13,39 Services 20,7 25,9 28,0 29,2 22,8 24,1 19,8 18,8 23,7 22,292 Phholds 5,2 8,6 9,0 12,3 8,7 8,2 7,2 8,6 9,0 8,094 Nes 0,0 0,0 0,3 0,0 0,0 0,0 0,0 0,1 0,0 0,0Grand Total 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0


STATS SACensus

IndustryWC EC NC FS KZN NW GP MP LP RSA

Per centAgriculture 6,6 4,4 16,0 8,8 3,7 4,5 1,4 9,3 9,9 4,9Mining 0,2 0,1 6,0 3,7 0,8 16,1 0,7 6,7 6,9 2,6Manufacturing 15,6 12,6 4,2 8,3 15,2 7,8 14,5 8,8 6,7 12,7Utilities 0,5 0,5 1,1 0,7 0,5 0,7 0,6 2,4 0,9 0,7Construction 7,6 9,4 6,2 6,7 8,5 6,1 6,6 7,4 9,2 7,6Trade 21,2 24,1 15,7 20,9 21,2 20,3 21,9 24,7 24,5 22,0Transport 5,3 5,4 3,3 4,0 7,6 4,1 6,6 5,4 5,0 6,0Finance 15,8 8,8 8,8 9,5 11,5 8,2 18,8 9,2 5,8 13,1Services 21,1 26,4 29,7 24,6 22,0 23,6 21,1 16,6 22,9 22,1

Private households 6,1 8,2 9,1 12,8 9,0 8,6 7,8 9,5 8,2 8,3Total 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0 100,0

Table 5.4: Share of employment by industry and province, 2012


STATS SA


Free State at a glanceSTATS SA

Unemployment rate is the

highest in the country

Informal sector share in total

employment is the highest in

the ountry

Data: Q3_Q4: 2012

Young peopleHave the highest

unemployment rate

Agriculture, trade and manufacturing lost

the most jobs in the past 5 years

Documents

STATS SA