Statistical release
P0211
Quarterly Labour Force Survey
Quarter 3: 2016
Embargoed until:
22 November 2016
12:30
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EXPECTED RELEASE DATE
February 2017
STATISTICS SOUTH AFRICA
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Contents
Page
1. Introduction.................................................................................................................................. 1
2. Highlights of the results ............................................................................................................... 1
3. Employment ................................................................................................................................ 2
3.1 Conditions of employment for employees .................................................................................. 8
4. Unemployment ............................................................................................................................ 8
5. Other labour market trends ........................................................................................................ 12
5.1 Year-on-year changes ............................................................................................................. 12
5.2 Trends in unemployment rate by sex ....................................................................................... 13
6. Comparison of the QLFS and the QES ...................................................................................... 14
7. Technical notes ......................................................................................................................... 15
7.1 Response details ..................................................................................................................... 15
7.2 Survey requirements and design ............................................................................................. 15
7.3 Sample rotation ....................................................................................................................... 16
7.4 Weighting ................................................................................................................................ 16
7.5 Non-response adjustment........................................................................................................ 16
7.6 Final survey weights ................................................................................................................ 16
7.7 Estimation................................................................................................................................ 16
7.8 Reliability of the survey estimates ............................................................................................ 17
8. Definitions ................................................................................................................................. 17
Quarterly Labour Force Survey, Quarter 3, 2016
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List of Tables
Table A: Key labour market indicators ................................................................................................................1
Table B: Employment by industry .......................................................................................................................2
Table C: Employment by occupation ..................................................................................................................4
Table D: Employment by province ......................................................................................................................6
Table E: Employment by province and municipality ...........................................................................................7
Table F: Unemployment rate by province ...........................................................................................................9
Table G: Unemployment rate by metropolitan municipality ................................................................................9
Table H: Key differences between the QLFS and the QES .............................................................................14
Table I: Response rates by province and metropolitan area ............................................................................15
Quarterly Labour Force Survey, Quarter 3, 2016
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List of Figures
Figure 1: Quarter-to-quarter changes in employment, Q1: 2010 to Q3: 2016 ...................................................2
Figure 2: Quarter-to-quarter changes in employment by sector, Q1: 2010 to Q3: 2016 ....................................3
Figure 3: Quarter-to-quarter and year-on-year changes in the formal sector by industry ..................................3
Figure 4: Quarter-to-quarter and year-on-year changes in the informal sector by industry ...............................4
Figure 5: Share of employed men by occupation and population group, Q3: 2015 and Q3: 2016 ....................5
Figure 6: Share of employed women by occupation and population group, Q3: 2015 and Q3: 2016 ...............5
Figure 7: Share of employed persons by education and population group, Q3: 2015 and Q3: 2016 ................6
Figure 8: Quarter-to-quarter changes in nature of employment contract ...........................................................8
Figure 9: Year-on-year changes in nature of employment contract ...................................................................8
Figure 10: Quarter-to-quarter changes in unemployment, Q1: 2010 to Q3: 2016 .............................................8
Figure 11: NEET rates for youth aged 15-24 years by sex and age group, Q3:2015 and Q3:2016 ................10
Figure 12: Year-on-year changes in total employment, Q1: 2010 to Q3: 2016 ................................................12
Figure 13: Year-on-year changes in formal-sector employment, Q1: 2010 to Q3: 2016 .................................12
Figure 14: Year-on-year changes in informal-sector employment, Q1: 2010 to Q3: 2016...............................13
Figure 15: Unemployment rate by sex, Q1: 2010 to Q3: 2016 .........................................................................13
Figure 16: Formal sector trends in QLFS and QES..........................................................................................14
Quarterly Labour Force Survey, Quarter 3, 2016
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Appendix 1
Table 1: Population of working age (15–64 years) .............................................................................................1
Table 2: Labour force characteristics by sex – All population groups ................................................................2
Table 2.1: Labour force characteristics by population group ..............................................................................4
Table 2.2: Labour force characteristics by age group ........................................................................................6
Table 2.3: Labour force characteristics by province and metro ..........................................................................8
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment ................................20
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment ...........22
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment ......................24
Table 2.7: Labour force characteristics by province and metro – Expanded definition of unemployment .......26
Table 3.1: Employed by industry and sex – South Africa .................................................................................34
Table 3.2: Employed by industry and province .................................................................................................35
Table 3.3: Employed by sector and industry – South Africa.............................................................................39
Table 3.4: Employed by province and sector ...................................................................................................40
Table 3.5: Employed by sex and occupation – South Africa ............................................................................45
Table 3.6: Employed by sex and status in employment – South Africa ...........................................................46
Table 3.7: Employed by sex and usual hours of work – South Africa ..............................................................47
Table 3.8: Conditions of employment – South Africa .......................................................................................48
Table 3.9: Time-related underemployment – South Africa ...............................................................................54
Table 4: Characteristics of the unemployed – South Africa .............................................................................55
Table 5: Characteristics of the not economically active – South Africa ............................................................57
Table 6: Sociodemographic characteristics – South Africa ..............................................................................58
Table 7: Profile of those not in education and not in employment – South Africa ............................................62
Table 8: Involvement in non-market activities and labour market status by province ......................................63
Appendix 2
Table 2A: Sampling variability for labour force characteristics by sex .............................................................67
Table 2.1A: Sampling variability for labour force characteristics by population group .....................................69
Table 2.3A: Sampling variability for labour force characteristics by province ..................................................71
Table 3.1A: Sampling variability for the employed by industry and sex ...........................................................83
Table 3.4A: Sampling variability for the employed by province and sector ......................................................84
Table 3.5A: Sampling variability for the employed by sex and occupation ......................................................88
Table 2B: Sampling variability for labour force characteristics by sex .............................................................89
Table 2.1B: Sampling variability for labour force characteristics by population group .....................................91
Table 2.3B: Sampling variability for labour force characteristics by province ..................................................93
Table 3.1B: Sampling variability for the employed by industry and sex .........................................................105
Table 3.4B: Sampling variability for the employed by province and sector ....................................................106
Table 3.5B: Sampling variability for the employed by sex and occupation ....................................................110
Quarterly Labour Force Survey, Quarter 3, 2016
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1. 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–
64 years.
This report presents the key findings of the QLFS conducted from July to September 2016 (Q3: 2016).
2. Highlights of the results
Table A: Key labour market indicators
Jul-Sep
2015
Apr-Jun
2016
Jul-Sep
2016
Qtr-to-qtr
change
Year-onyear
change
Year-onQtr-to-qtr
year
change
change
Per cent
0,4
1,8
Population aged 15–64 yrs
36 114
36 591
Thousand
36 750
159
636
Labour force
Employed
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
21 246
15 828
10 930
2 721
897
1 280
21 179
15 545
10 917
2 507
825
1 296
21 706
15 833
11 029
2 641
881
1 281
527
288
112
135
56
-15
460
5
99
- 80
- 16
1
2,5
1,9
1,0
5,4
6,8
-1,1
2,2
0,0
0,9
-2,9
-1,8
0,1
5 418
5 634
5 873
239
455
4,2
8,4
14 867
2 226
12 641
15 412
2 526
12 886
15 044
2 291
12 753
-368
-235
-133
176
64
112
-2,4
-9,3
-1,0
1,2
2,9
0,9
25,5
26,6
27,1
0,5
1,6
43,8
58,8
42,5
57,9
43,1
59,1
0,6
1,2
-0,7
0,3
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employment/population ratio
(absorption rate)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
The working age population grew by 159 000 or 0,4 percent in Q3:2016 while the number of employed
increased by 288 000. However, the growth in employment was offset by an increase in unemployment of
239 000 resulting in a rise of 0,5 of a percentage point in the unemployment rate to 27,1% in Q3: 2016. On a
quarterly basis employment increased in the formal and informal sectors as well as in Agriculture. A quarterly
decrease of 15 000 was observed in the number of persons employed in Private households. Discouraged
work-seekers accounted for two thirds of the decrease among the not economically active population
(235 000 quarter-on-quarter).
In Q3: 2016 the growth in employment resulted in an increase of 0,6 of a percentage point in the absorption
rate to 43,1%. More people joined the labour force in Q3: 2016 as the inactive population declined by 368
000 and this led to an increase of 1,2 percentage points in the labour force participation rate to 59,1%.
Compared to Q3: 2015, employment remained virtually unchanged (up by 5 000 or 0,0%) while
unemployment grew by 455 000 or 8,4 percent, this led to an increase in unemployment rate by 1,6
percentage points to 27,1%. The annual growth of 99 000 in the formal sector employment was offset by the
decline in the informal sector and Agriculture by 80 000 and 16 000 respectively leading to a net change of
only 5 000. Despite the quarterly decline, the inactive population in Q3: 2016 is still 176 000 (or 1,2 percent)
higher compared to Q3: 2015.
Quarterly Labour Force Survey, Quarter 3, 2016
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3. Employment
Figure 1: Quarter-to-quarter changes in employment, Q1: 2010 to Q3: 2016
The number of employed persons increased by 288 000 in Q3: 2016 after two successive quarterly declines
of 344 000 and 129 000.
Table B: Employment by industry
Industry
Total*
Jul-Sep
2015
15 828
Apr-Jun
2016
15 545
Agriculture
897
825
Mining
446
447
Manufacturing
1 774
1 712
Utilities
127
111
Construction
1 460
1 388
Trade
3 200
3 136
Transport
898
862
Finance and other business
services
2 160
2 220
Community and social services
3 582
3 544
Private households
1 280
1 296
*Note: Total includes ‘other’ industry.
Due to rounding, numbers do not necessarily add up to totals.
Jul-Sep
2016
Qtr-toqtr
change
Year-onyear
change
Qtr-toYear-on-year
qtr
change
change
Per cent
1,9
0,0
Thousand
15 833
288
5
881
438
1 683
118
1 491
3 198
915
56
-9
-28
7
104
61
53
- 16
-8
- 91
-9
31
-2
17
6,8
-2,1
-1,7
6,4
7,5
2,0
6,2
-1,8
-1,8
-5,1
-6,9
2,1
-0,1
1,9
2 323
3 499
1 281
103
- 45
-15
163
-83
1
4,6
-1,3
-1,1
7,6
-2,3
0,1
Table B shows that the quarterly employment gains of 288 000 in Q3: 2016 were driven by increases in six
of the ten industries. The largest increases were recorded in Construction (104 000), Finance and other
business services (103 000), Trade (61 000), Agriculture (56 000) and Transport (53 000). The number of
employed persons decreased in four industries, namely Community and social services, Manufacturing,
Private households and Mining.
Compared to the same period last year, the annual growth of 163 000 in Finance and other business
services, 31 000 in Construction and 17 000 in Transport was offset by declines in other industries leading to
a net change of only 5 000 in the annual employment.
Quarterly Labour Force Survey, Quarter 3, 2016
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Figure 2: Quarter-to-quarter changes in employment by sector, Q1: 2010 to Q3: 2016
In Q3: 2016, the formal and the informal sectors recorded employment gains for the first time in 2016
(112 000 and 135 000 respectively), following two and three consecutive quarterly declines in employment in
the formal and informal sector respectively.
Figure 3: Quarter-to-quarter and year-on-year changes in the formal sector by industry
Mining is a very clustered industry, hence the industry might not have been adequately captured by the QLFS sample.
For more robust mining estimates, please use the Quarterly Employment Statistics (QES).
Between Q2: 2016 and Q3: 2016, the number of employed persons in the formal sector increased in five
industries. The largest gains were in Finance and other business services (83 000), followed by Construction
(50 000) and Transport (28 000). During the same period formal sector employment declined in Community
and social services (46 000), Manufacturing (13 000) and Mining (6 000) industries.
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Year-on-year changes reflect the largest employment gains in Finance and other business services
(171 000), Trade (28 000) and Construction (11 000). Between Q3: 2015 and Q3: 2016, job losses were
observed in four industries, with the largest declines recorded in Manufacturing (53 000) and Community &
social services (43 000) industries.
Figure 4: Quarter-to-quarter and year-on-year changes in the informal sector by industry
Between Q2: 2016 and Q3: 2016, the informal sector recorded the largest employment gains in Trade
(55 000), Construction (53 000), Transport (26 000) and Finance & other business services (20 000). The
sector recorded quarterly employment losses in Manufacturing (15 000) and Mining (3 000) industries; while
the number of employed persons in Utilities remained unchanged between the two quarters.
Compared to Q3: 2015, the informal sector employment levels declined in four industries in Q3: 2016; with
the largest decreases in Community and social services (40 000), Manufacturing (38 000) and Trade
(30 000) industries. Annual employment gains were observed in Construction (21 000), Transport (14 000)
and Mining (1 000) industries.
Table C: Employment by occupation
Occupation
Total
Jul-Sep
2015
15 828
Apr-Jun
2016
15 545
Manager
1 284
1 314
Professional
800
857
Technician
1 471
1 495
Clerk
1 669
1 621
Sales and services
2 406
2 437
Skilled agriculture
99
66
Craft and related trade
2 001
1 890
Plant and machine operator
1 275
1 218
Elementary
3 797
3 634
Domestic worker
1 025
1 013
Due to rounding, numbers do not necessarily add up to totals.
Jul-Sep
2016
Qtr-to-qtr
change
Year-onyear
change
Thousand
15 833
288
5
1 352
835
1 465
1 651
2 474
72
1 947
1 312
3 700
1 026
37
- 23
- 30
30
36
6
56
94
66
13
68
34
-6
- 19
68
- 27
- 55
37
- 97
1
Qtr-toYear-onqtr
year
change
change
Per cent
1,9
0,0
2,8
- 2,7
- 2,0
1,9
1,5
9,1
3,0
7,8
1,8
1,3
5,3
4,3
- 0,4
- 1,1
2,8
- 27,1
- 2,7
2,9
- 2,5
0,1
On a quarterly basis, employment increased in eight of the ten occupations in Q3: 2016. The largest
increases were recorded in Plant & machine operator (94 000) and Elementary (66 000) occupations. The
number of employed persons declined in Technician and Professional occupations (30 000 and 23 000
respectively).
Quarterly Labour Force Survey, Quarter 3, 2016
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Year-on-year changes reflect employment increases in five occupations, the largest of which were in
Managerial and Sales & services (68 000 each) occupations. In Q3: 2016, the largest annual employment
losses were recorded in Elementary (97 000), Craft & related trade (55 000) and Skilled agriculture (27 000)
occupations.
Figure 5: Share of employed men by occupation
and population group, Q3: 2015 and Q3: 2016
Figure 6: Share of employed women by
occupation and population group, Q3: 2015 and
Q3: 2016
Note: 'Skilled' includes Manager, Professional and Technician occupations; 'Semi-skilled' includes Clerk, Sales and services, Skilled
agriculture, Craft and related trade and Plant and machine operator occupations; 'Low-skilled' includes Elementary and Domestic worker
occupations.
The white and Indian/Asian population groups (both men and women) dominate employment in skilled
occupations. The majority of black African and coloured men were employed in semi-skilled and low-skilled
occupations. However, among black African and coloured men the employment shares in low-skilled
occupations declined and increased in skilled occupations over the period Q3: 2015 to Q3: 2016. The share
of white men employed in skilled occupations remained unchanged while that of Indian/Asian men
decreased (Figure 5).
Black African women are more vulnerable in the labour market, with larger employment shares in low-skilled
occupations. The proportion of black African women employed in low-skilled occupations was around 43% in
both Q3: 2015 and Q3: 2016. White women were more likely to be employed in skilled occupations (57,9%);
while only 18,6% of black African women were employed in these occupations in Q3:2016.
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Figure 7: Share of employed persons by education and population group, Q3: 2015 and Q3: 2016
Note: 'Graduate' includes post-higher diploma, bachelor’s degree, post-graduate diploma, honours degree and higher degree.
Values for ‘Other’ are not shown on the graph.
The share of employed persons with tertiary qualifications (graduates and other tertiary) was highest among
the white and Indian population groups. In Q3: 2016, 47,3% of employed white population and 29,7% of
employed Indian/Asian population had a tertiary qualification, while the share of the employed with tertiary
qualification among the black African and the coloured population was only 16,2% and 13,3% respectively.
In both Q3: 2015 and Q3: 2016, more than 50% of employed black African and coloured population had
education levels of less than matric.
Table D: Employment by province
Province
South Africa
Jul-Sep
2015
15 828
Apr-Jun
2016
15 545
Jul-Sep
2016
Thousand
15 833
Western Cape
2 317
2 266
2 315
Eastern Cape
1 372
1 350
1 443
Northern Cape
302
303
308
Free State
795
797
781
KwaZulu-Natal
2 573
2 479
2 496
North West
921
915
900
Gauteng
5 011
4 942
5 068
Mpumalanga
1 184
1 171
1 174
Limpopo
1 353
1 324
1 349
Due to rounding, numbers do not necessarily add up to totals.
Qtr-to-qtr
change
Year-onyear
change
288
5
49
93
5
- 16
17
-15
126
3
25
-2
71
6
- 14
- 77
- 22
57
- 10
-3
Year-onyear
change
Per cent
1,9
0,0
Qtr-to-qtr
change
2,2
6,9
1,8
- 2,1
0,7
-1,6
2,6
0,3
1,9
- 0,1
5,2
1,8
- 1,8
- 3,0
- 2,4
1,1
- 0,8
- 0,3
The number of employed persons increased in seven of the nine provinces between Q2: 2016 and Q3: 2016.
The largest employment gains were observed in Gauteng (126 000), Eastern Cape (93 000) and Western
Cape (49 000). While Free State and North West recorded employment declines of 16 000 and 15 000
respectively over this period.
Quarterly Labour Force Survey, Quarter 3, 2016
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For the year ended September 2016, employment losses were recorded in six of the nine provinces.
KwaZulu-Natal, North West and Free State recorded the largest declines (77 000, 22 000 and 14 000
respectively). Employment gains were recorded in Eastern Cape (71 000), Gauteng (57 000) and Northern
Cape (6 000).
Table E: Employment by province and municipality
Province and municipality
Jul-Sep
2015
Apr-Jun
2016
Jul-Sep
2016
Qtr-to-qtr
change
Year-onyear
change
Year-onyear
change
Per cent
Qtr-to-qtr
change
Thousand
South Africa
15 828
15 545
15 833
288
5
1,9
0,0
Western Cape
Non-metro
City of Cape Town
2 317
846
1 471
2 266
798
1 468
2 315
847
1 469
49
48
1
-2
0
-3
2,2
6,1
0,1
- 0,1
0,1
- 0,2
Eastern Cape
Non-metro
Buffalo City
Nelson Mandela Bay
1 372
781
250
341
1 350
794
230
326
1 443
863
239
341
93
68
10
15
71
82
- 11
0
6,9
8,6
4,2
4,6
5,2
10,5
- 4,4
0,0
795
552
243
797
547
250
781
538
243
- 16
-9
-7
- 14
- 14
0
- 2,1
- 1,7
- 2,9
- 1,8
- 2,6
0,0
KwaZulu-Natal
Non-metro
eThekwini
2 573
1 450
1 123
2 479
1 353
1 126
2 496
1 355
1 141
17
2
15
- 77
- 95
18
0,7
0,1
1,4
- 3,0
- 6,6
1,6
Gauteng
Non-metro
Ekurhuleni
City of Johannesburg
City of Tshwane
5 011
602
1 275
1 898
1 236
4 942
587
1 161
1 963
1 231
5 068
598
1 222
1 978
1 270
126
11
61
14
39
57
-4
- 53
80
34
2,6
1,9
5,3
0,7
3,2
1,1
- 0,6
- 4,1
4,2
2,8
Other*
3 761
3 712
3 731
19
- 30
0,5
- 0,8
Free State
Non-metro
Mangaung
*Note: 'Other' includes Northern Cape, North West, Mpumalanga and Limpopo. These provinces do not have metropolitan
municipalities.
Between Q2: 2016 and Q3: 2016, employment levels increased in all metropolitan municipalities, with the
exception of Mangaung where the number of employed declined by 7 000. Ekurhuleni and the City of
Tshwane recorded the highest gains in employment at 61 000 and 39 000 respectively. This was followed by
eThekwini and Nelson Mandela Bay which recorded increases of 15 000 jobs each.
Compared to the same period last year, employment decreases were recorded in three metropolitan
municipalities – Ekurhuleni (53 000), Buffalo City (11 000) and City of Cape Town (3 000). Annual
employment gains were observed in three metros with the largest increase in the City of Johannesburg
(80 000), while in Mangaung and Nelson Mandela Bay employment level remained the same.
Quarterly Labour Force Survey, Quarter 3, 2016
STATISTICS SOUTH AFRICA
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3.1 Conditions of employment for employees
Figure 8: Quarter-to-quarter changes in nature of
employment contract
Figure 9: Year-on-year changes in nature
of employment contract
The number of employees with contracts of a permanent duration increased by 106 000 on a quarterly basis
and by 70 000 year-on-year. Employees employed on limited duration contract increased by 153 000
quarter-to-quarter, however compared to the same period last year the number decreased by 35 000.
4. Unemployment
Figure 10: Quarter-to-quarter changes in unemployment, Q1: 2010 to Q3: 2016
Unemployment increased by 239 000 quarter-to-quarter in Q3: 2016, following a decline of 90 000 in Q2:
2016.
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Table F: Unemployment rate by province
Official unemployment rate
Jul-Sep
2015
Apr-Jun
2016
Jul-Sep
2016
Per cent
Qtr-toqtr
change
Expanded unemployment rate
Year-onyear
change
Jul-Sep
2015
Percentage points
Apr-Jun
2016
Jul-Sep
2016
Per cent
Qtr-toqtr
change
Year-onyear
change
Percentage points
South Africa
25,5
26,6
27,1
0,5
1,6
34,4
36,4
36,3
- 0,1
1,9
Western Cape
20,6
22,2
21,7
- 0,5
1,1
23,1
24,6
24,8
0,2
1,7
Eastern Cape
29,2
28,6
28,2
- 0,5
- 1,0
42,5
43,8
41,3
- 2,5
- 1,2
Northern Cape
34,8
27,4
29,6
2,2
- 5,2
42,4
39,8
41,8
2,0
- 0,6
Free State
31,5
32,2
34,2
1,9
2,6
37,7
38,1
40,4
2,3
2,7
KwaZulu-Natal
20,5
22,6
23,5
0,8
3,0
35,6
39,7
40,4
0,7
4,8
North West
25,4
27,3
30,5
3,2
5,1
40,7
42,6
44,6
2,0
3,9
Gauteng
28,6
29,5
29,1
- 0,4
0,4
31,4
33,0
32,8
- 0,3
1,4
Mpumalanga
26,2
28,8
30,4
1,6
4,2
39,0
41,0
41,4
0,4
2,4
Limpopo
18,8
20,6
21,9
1,4
3,2
36,6
38,6
36,3
- 2,3
- 0,3
The official unemployment rate increased by 0,5 of a percentage point quarter-to-quarter and 1,6 percentage
points year-on-year. Quarterly increases in the official unemployment rate were observed in six of the nine
provinces, with the largest increases occurring in North West (3,2 percentage points), Northern Cape (2,2
percentage points), and Free State (1,9 percentage points). Over the same period, the official unemployment
rate declined in Western Cape, Eastern Cape (0,5 of a percentage point each) and Gauteng (0,4 of a
percentage point).
The expanded unemployment rate decreased by 0,1 of a percentage point quarter-to-quarter to 36,3%.
Between Q2: 2016 and Q3: 2016, the unemployment rate declined in three of the nine provinces, with
Eastern Cape and Limpopo recording the largest declines of 2,5 and 2,3 percentage points respectively. The
largest increases were recorded in Free State (2,3 percentage points), Northern Cape and North West ( 2,0
percentage points each).
Table G: Unemployment rate by metropolitan municipality
Official unemployment rate
Jul-Sep
2015
Apr-Jun
2016
Jul-Sep
2016
Per cent
South Africa
Qtr-toqtr
change
Expanded unemployment rate
Year-onyear
change
Jul-Sep
2015
Percentage points
25,5
26,6
27,1
City of Cape town
21,9
23,0
Non-metro
18,5
20,7
Buffalo City
26,4
Nelson Mandela Bay
34,3
Non-metro
Apr-Jun
2016
Jul-Sep
2016
Per cent
Qtr-toqtr
change
Year-onyear
change
Percentage points
0,5
1,6
34,4
36,4
36,3
- 0,1
1,9
23,0
0,1
1,2
23,2
24,0
19,3
- 1,4
0,8
23,0
25,8
24,8
0,9
1,6
24,8
- 1,0
1,8
29,8
28,1
- 1,8
1,7
27,6
32,0
31,8
- 0,3
- 2,5
34,4
32,5
35,7
3,2
8,0
32,9
33,2
0,3
- 1,2
27,6
26,8
26,7
- 0,1
- 1,0
48,7
49,6
45,3
- 4,4
- 3,4
Mangaung
28,5
28,8
30,9
2,2
Non-metro
32,8
33,7
35,5
1,8
2,4
33,4
34,1
38,0
3,8
4,5
2,7
39,4
39,7
41,4
1,7
2,0
eThekwini
15,7
19,7
20,2
Non-metro
23,9
25,0
26,1
0,5
4,5
24,9
28,0
28,4
0,4
3,6
1,1
2,2
42,0
46,9
47,8
0,8
5,7
Gauteng
City of
Johannesburg
Western Cape
Eastern Cape
Free State
KwaZulu-Natal
29,7
28,4
28,2
- 0,2
- 1,6
30,7
29,9
30,8
0,9
0,1
City of Tshwane
24,7
25,1
26,2
1,0
1,4
28,8
28,9
29,6
0,6
0,7
Ekurhuleni
Non-metro
30,3
29,2
34,6
30,8
31,7
32,3
- 3,0
1,5
1,3
3,2
32,7
35,7
38,2
39,3
35,5
39,1
- 2,7
- 0,2
2,8
3,4
Note: RSA includes all nine provinces, i.e. even those without metropolitan municipalities (Northern Cape, North West, Mpumalanga
and Limpopo).
Quarterly Labour Force Survey, Quarter 3, 2016
STATISTICS SOUTH AFRICA
10
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Quarterly increases in the official unemployment rate were observed in four of the eight metropolitan
municipalities, with Mangaung recording the largest increase of 2,2 percentage points. The official
unemployment rate decreased in four of the metropolitan municipalities. Ekurhuleni and Buffalo City showed
the largest declines (3,0 and 1,8 percentage points respectively). Compared to Q3: 2015, Nelson Mandela
Bay recorded the largest decline in the official unemployment rate.
Between Q2: 2016 and Q3: 2016, the expanded unemployment rate increased in all metropolitan
municipalities with the exception of Ekurhuleni metro where the rate decreased by 2,7 percentage points.
Mangaung and Buffalo City recorded the highest increases in the expanded unemployment rate.
Figure 11: NEET rates for youth aged 15-24 years by sex and age group, Q3:2015 and Q3:2016
In Q3: 2016, 30,6% of youth aged 15-24 years were not in employment, education or training (NEET), this is
a percentage point increase compared to the same period last year. Over the period, the NEET rate among
females were higher than those of their male counterparts irrespective of age group. In both Q3: 2015 and
Q3: 2016, more than 50% of female youth in the 20-24 year age group were not in employment, education or
training.
Quarterly Labour Force Survey, Quarter 3, 2016
11
STATISTICS SOUTH AFRICA
4. Summary of labour market measures at a glance, Q3: 2016
PJ Lehohla
Statistician-General: Statistics South Africa
Quarterly Labour Force Survey, Quarter 3, 2016
P0211
STATISTICS SOUTH AFRICA
12
5. Other labour market trends
5.1 Year-on-year changes
Figure 12: Year-on-year changes in total employment, Q1: 2010 to Q3: 2016
Figure 13: Year-on-year changes in formal-sector employment, Q1: 2010 to Q3: 2016
Quarterly Labour Force Survey, Quarter 3, 2016
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STATISTICS SOUTH AFRICA
13
Figure 14: Year-on-year changes in informal-sector employment, Q1: 2010 to Q3: 2016
5.2 Trends in unemployment rate by sex
Figure 15: Unemployment rate by sex, Q1: 2010 to Q3: 2016
Quarterly Labour Force Survey, Quarter 3, 2016
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14
STATISTICS SOUTH AFRICA
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6. Comparison of the QLFS and the QES
Table H: Key differences between the QLFS and the QES
QLFS
Coverage
Sample size
Reference period
Standard Industrial
Classification (SIC)
Formal sector definition
(excluding Agriculture and
Private households)
QES
Private households and workers' hostels
Non-institutional population (15 years and
older)
Total employment (including informal sector,
Private households, Agriculture and small
businesses)
Quarterly sample of approximately 30 000
dwellings in which households reside
Payroll of VAT-registered businesses
Employees only
One week prior to the interview
Payroll on the last day of the quarter
All industries
Excluding Agriculture and Private households
Employers and own-account workers
registered for VAT or income tax
Employees paying income tax and those not
paying tax but working in firms with five or
more workers
Formal sector excluding Agriculture
Quarterly sample of 20 000 non-agricultural formalsector businesses
Employees on payroll of VAT-registered businesses
Figure 16: Formal sector trends in QLFS and QES, Q1:2010 to Q2:2016
Quarterly Labour Force Survey, Quarter 3, 2016
15
STATISTICS SOUTH AFRICA
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7. Technical notes
7.1 Response details
Table I: Response rates by province and metropolitan area
Province / Metropolitan Area
Jul–Sep 2016
Per cent
National
89,3
Western Cape
90,2
Non Metro
91,5
City of Cape Town
89,6
Eastern Cape
93,3
Non Metro
95,4
Buffalo City
88,2
Nelson Mandela Bay
89,6
Northern Cape
90,1
Free State
93,5
Non Metro
94,5
Mangaung
91,1
KwaZulu-Natal
94,4
Non Metro
94,2
eThekwini
94,7
North West
91,5
Gauteng
78,1
Non Metro
79,7
Ekurhuleni
76,0
City of Johannesburg
75,8
City of Tshwane
83,6
Mpumalanga
94,6
Limpopo
97,6
7.2 Survey requirements and design
The Quarterly Labour Force Survey (QLFS) uses the Master Sample frame which has been developed as a
general-purpose household survey frame that can be used by all other Stats SA household based surveys
having design requirements that are reasonably compatible with the QLFS. The 2013 Master Sample is
based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census
2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the
auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary
sampling units (PSUs) for the Master Sample, since they covered the entire country and had other
information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units
(PSUs) in the Master Sample with an expected sample of approximately 33 000 dwelling units (DUs). The
number of PSUs in the current Master Sample (3 324) reflects an 8,0% increase in the size of the Master
Sample compared to the previous (2008) Master Sample (which had 3 080 PSUs). The larger Master
Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of
the QLFS estimates.
Quarterly Labour Force Survey, Quarter 3, 2016
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The Master Sample is designed to be representative at provincial level and within provinces at metro/nonmetro levels. Within the metros, the sample is further distributed by geographical type. The three geography
types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is
representative of the different geography types that may exist within that metro.
It is divided equally into four sub-groups 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 (1) to four (4) 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 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.
7.3 Sample rotation
For each quarter of the QLFS, a ¼ of the sampled dwellings are rotated out of the sample. These dwellings
are replaced by new dwellings from the same PSU or the next PSU on the list. Thus, sampled dwellings are
expected to 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 (as an example) 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 (or unoccupied).
7.4 Weighting
The sample weights were constructed in order to account for the following: the original selection probabilities
(design weights), adjustments for PSUs that were sub-sampled or segmented, excluded population from the
sampling frame, non-response, weight trimming, and benchmarking to known population estimates from the
Demographic Analysis Division within Stats SA.
7.5 Non-response adjustment
In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failures
(i.e. invalid or inconsistent responses). The eligible households in the sampled dwellings can be divided into
two response categories: respondents and non-respondents. Weight adjustment is applied to account for the
non-respondent households (e.g. refusal, no contact, etc.). The adjustment for total non-response was
computed at two levels of non-response: PSU non-response and household non-response.
7.6 Final survey weights
In the final step of constructing the sample weights, all individuals within a household are assigned the same
adjusted base weight. The adjusted base weights are calibrated such that the aggregate totals will match
with independently derived (by Stats SA Demography division) population estimates (from the Demographic
Analysis Division) for various age, race and gender groups at national level and individual metropolitan and
non-metropolitan area levels within the provinces. The calibrated weights are constructed using the
constraint that each person within the same household should have the same calibrated weight, with a lower
bound on the calibrated weights set at 50.
7.7 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 Western Cape, number of females employed in Manufacturing, etc.
Quarterly Labour Force Survey, Quarter 3, 2016
STATISTICS SOUTH AFRICA
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7.8 Reliability of the survey estimates
Since 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-responses and incomplete reporting. These types of errors cannot
be measured readily. However, to some extent, 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.
(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, Jack-knife 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 <0,01, the difference
is highly significant; if p-value is between 0,01 and 0,05; then the difference is significant; and if p-value
>0,05, the difference is not significant.
8. 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, namely: (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 (i.e. were temporarily absent).
Employment-to-population ratio (labour absorption rate) is the proportion of the working-age population
that is employed.
1
Wolter, K.M. 2007. Introduction to Variance Estimation, 2nd Edition. New York: Springer-Verlag.
Quarterly Labour Force Survey, Quarter 3, 2016
STATISTICS SOUTH AFRICA
18
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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 comprise 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 fewer 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 were below 35
hours per week.
Underutilised labour comprises three groups that are defined 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, 2016
1
STATISTICS SOUTH AFRICA
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Appendix 1
Table 1: Population of working age (15–64 years)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
Both sexes
Women
Men
36 114
18 309
17 804
36 272
18 383
17 889
36 431
18 456
17 975
36 591
18 530
18 061
36 750
18 604
18 145
159
75
84
636
295
341
0,4
0,4
0,5
1,8
1,6
1,9
Population groups
Black/African
Coloured
Indian/Asian
White
36 114
28 726
3 336
977
3 074
36 272
28 879
3 346
980
3 067
36 431
29 033
3 356
983
3 059
36 591
29 187
3 366
985
3 052
36 750
29 341
3 377
988
3 044
159
154
10
2
-8
636
615
41
11
-31
0,4
0,5
0,3
0,2
-0,3
1,8
2,1
1,2
1,1
-1,0
South Africa
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
36 114
4 293
4 115
768
1 872
6 715
2 434
9 580
2 763
3 574
36 272
4 317
4 124
771
1 875
6 739
2 445
9 636
2 776
3 589
36 431
4 341
4 133
773
1 879
6 764
2 456
9 692
2 789
3 604
36 591
4 365
4 142
775
1 882
6 789
2 468
9 748
2 802
3 619
36 750
4 389
4 153
778
1 884
6 815
2 479
9 802
2 815
3 634
159
24
11
2
2
26
11
54
13
15
636
96
38
9
12
100
45
222
53
60
0,4
0,5
0,3
0,3
0,1
0,4
0,5
0,6
0,5
0,4
1,8
2,2
0,9
1,2
0,7
1,5
1,9
2,3
1,9
1,7
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Percent
Year on
year
change
Percent
2
STATISTICS SOUTH AFRICA
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Table 2: Labour force characteristics by sex – All population groups
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
36 114
21 246
15 828
10 930
2 721
897
1 280
5 418
14 867
2 226
12 641
36 272
21 211
16 018
11 180
2 684
860
1 294
5 193
15 061
2 279
12 782
36 431
21 398
15 675
10 983
2 565
869
1 257
5 723
15 033
2 434
12 599
36 591
21 179
15 545
10 917
2 507
825
1 296
5 634
15 412
2 526
12 886
36 750
21 706
15 833
11 029
2 641
881
1 281
5 873
15 044
2 291
12 753
159
527
288
112
135
56
-15
239
-368
-235
-133
636
460
5
99
-80
-16
1
455
176
64
112
25,5
43,8
58,8
24,5
44,2
58,5
26,7
43,0
58,7
26,6
42,5
57,9
27,1
43,1
59,1
0,5
0,6
1,2
1,6
-0,7
0,3
18 309
9 592
6 912
4 563
1 035
308
1 006
2 680
8 717
1 236
7 482
18 383
9 567
6 995
4 665
1 019
288
1 023
2 572
8 816
1 294
7 522
18 456
9 672
6 840
4 641
966
271
961
2 832
8 784
1 306
7 479
18 530
9 524
6 754
4 583
960
235
976
2 770
9 006
1 369
7 637
18 604
9 727
6 873
4 652
970
255
996
2 854
8 877
1 301
7 576
75
203
119
70
9
19
20
84
-129
-67
-61
295
135
-39
90
-66
-53
-10
175
160
66
94
27,9
37,8
52,4
26,9
38,1
52,0
29,3
37,1
52,4
29,1
36,4
51,4
29,3
36,9
52,3
0,2
0,5
0,9
1,4
-0,9
-0,1
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,4
2,5
1,9
1,0
5,4
6,8
-1,1
4,2
-2,4
-9,3
-1,0
1,8
2,2
0,0
0,9
-2,9
-1,8
0,1
8,4
1,2
2,9
0,9
0,4
2,1
1,8
1,5
1,0
8,2
2,1
3,1
-1,4
-4,9
-0,8
1,6
1,4
-0,6
2,0
-6,3
-17,4
-1,0
6,5
1,8
5,3
1,3
3
STATISTICS SOUTH AFRICA
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Table 2: Labour force characteristics by sex – All population groups (concluded)
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 (%)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
17 804
11 655
8 916
6 367
1 686
589
274
2 738
6 150
991
5 159
17 889
11 644
9 023
6 515
1 665
572
270
2 621
6 245
985
5 260
17 975
11 726
8 835
6 342
1 599
598
296
2 891
6 249
1 128
5 120
18 061
11 655
8 792
6 335
1 546
590
320
2 864
6 406
1 157
5 249
18 145
11 979
8 960
6 377
1 672
627
285
3 018
6 166
989
5 177
84
324
169
42
125
37
-35
155
-240
-168
-72
341
324
44
9
-14
38
11
280
17
-1
18
23,5
50,1
65,5
22,5
50,4
65,1
24,7
49,2
65,2
24,6
48,7
64,5
25,2
49,4
66,0
0,6
0,7
1,5
1,7
-0,7
0,5
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
0,5
2,8
1,9
0,7
8,1
6,2
-10,9
5,4
-3,7
-14,5
-1,4
1,9
2,8
0,5
0,1
-0,8
6,4
4,0
10,2
0,3
-0,1
0,3
4
STATISTICS SOUTH AFRICA
P0211
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
Coloured
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
36 114
21 246
15 828
5 418
14 867
36 272
21 211
16 018
5 193
15 061
36 431
21 398
15 675
5 723
15 033
36 591
21 179
15 545
5 634
15 412
36 750
21 706
15 833
5 873
15 044
159
527
288
239
-368
636
460
5
455
176
25,5
43,8
58,8
24,5
44,2
58,5
26,7
43,0
58,7
26,6
42,5
57,9
27,1
43,1
59,1
0,5
0,6
1,2
1,6
-0,7
0,3
28 726
16 442
11 704
4 738
12 285
28 879
16 382
11 860
4 522
12 497
29 033
16 569
11 576
4 993
12 464
29 187
16 452
11 506
4 946
12 736
29 341
16 920
11 764
5 156
12 421
154
469
259
210
-314
615
479
61
418
137
28,8
40,7
57,2
27,6
41,1
56,7
30,1
39,9
57,1
30,1
39,4
56,4
30,5
40,1
57,7
0,4
0,7
1,3
1,7
-0,6
0,5
3 336
2 122
1 638
484
1 214
3 346
2 130
1 670
460
1 216
3 356
2 166
1 655
511
1 191
3 366
2 094
1 609
485
1 273
3 377
2 129
1 642
488
1 247
10
36
32
3
-25
41
8
3
4
33
22,8
49,1
63,6
21,6
49,9
63,6
23,6
49,3
64,5
23,2
47,8
62,2
22,9
48,6
63,1
-0,3
0,8
0,9
0,1
-0,5
-0,5
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,4
2,5
1,9
4,2
-2,4
1,8
2,2
0,0
8,4
1,2
0,5
2,8
2,2
4,2
-2,5
2,1
2,9
0,5
8,8
1,1
0,3
1,7
2,0
0,6
-2,0
1,2
0,4
0,2
0,9
2,7
5
STATISTICS SOUTH AFRICA
P0211
Table 2.1: Labour force characteristics by population group (concluded)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
977
576
504
72
401
980
587
524
64
392
983
569
499
70
414
985
572
505
67
414
988
601
522
79
387
2
30
17
13
-27
11
25
18
7
-14
12,5
51,6
59,0
10,9
53,4
59,9
12,3
50,8
57,9
11,7
51,2
58,0
13,2
52,8
60,9
1,5
1,6
2,9
0,7
1,2
1,9
3 074
2 107
3 067
2 112
3 059
2 095
3 052
2 062
3 044
2 055
-8
-7
1 983
124
968
1 965
147
955
1 945
150
964
1 926
136
990
1 905
150
989
5,9
64,5
68,5
6,9
64,1
68,9
7,2
63,6
68,5
6,6
63,1
67,6
7,3
62,6
67,5
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
0,2
5,2
3,4
18,9
-6,6
1,1
4,4
3,6
9,9
-3,5
-31
-52
-0,3
-0,3
-1,0
-2,5
-20
14
-1
-77
26
21
-1,1
10,2
-0,1
-3,9
20,6
2,2
0,7
-0,5
-0,1
1,4
-1,9
-1,0
6
STATISTICS SOUTH AFRICA
P0211
Table 2.2: Labour force characteristics by age group
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on
year
change
Thousand
36 431
21 398
15 675
5 723
15 033
36 591
21 179
15 545
5 634
15 412
36 750
21 706
15 833
5 873
15 044
159
527
288
239
-368
636
460
5
455
176
24,5
44,2
58,5
26,7
43,0
58,7
26,6
42,5
57,9
27,1
43,1
59,1
0,5
0,6
1,2
1,6
-0,7
0,3
10 295
2 762
1 383
1 379
7 533
10 300
2 654
1 317
1 337
7 646
10 305
2 761
1 256
1 506
7 543
10 309
2 657
1 229
1 428
7 653
10 312
2 763
1 265
1 497
7 549
3
106
37
69
-103
17
0
-117
118
16
49,9
13,4
26,8
50,4
12,8
25,8
54,5
12,2
26,8
53,7
11,9
25,8
54,2
12,3
26,8
0,5
0,4
1,0
4,3
-1,1
0,0
9 506
7 127
4 969
2 158
2 379
9 546
7 130
5 054
2 075
2 416
9 586
7 182
4 939
2 242
2 405
9 627
7 033
4 824
2 208
2 594
9 666
7 215
4 896
2 319
2 451
39
182
71
111
-143
160
88
-73
161
72
30,3
52,3
75,0
29,1
52,9
74,7
31,2
51,5
74,9
31,4
50,1
73,1
32,1
50,7
74,6
0,7
0,6
1,5
1,8
-1,6
-0,4
Jul-Sep
2015
Thousand
Oct-Dec
2015
Thousand
36 114
21 246
15 828
5 418
14 867
36 272
21 211
16 018
5 193
15 061
25,5
43,8
58,8
15-64 years
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
15-24 years
Population 15-24 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
25-34 years
Population 25-34 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Jan-Mar
2016
Thousand
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,4
2,5
1,9
4,2
-2,4
1,8
2,2
0,0
8,4
1,2
0,0
4,0
3,0
4,9
-1,3
0,2
0,0
-8,5
8,5
0,2
0,4
2,6
1,5
5,0
-5,5
1,7
1,2
-1,5
7,4
3,0
7
STATISTICS SOUTH AFRICA
P0211
Table 2.2: Labour force characteristics by age group (concluded)
35-44 years
Population 35-44 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
45-54 years
Population 45-54 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
55-64 years
Population 55-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Jul-Sep
2015
Thousand
Oct-Dec
2015
Thousand
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on
year
change
Thousand
Qrt to Qrt
change
Percent
Year on
year
change
Percent
7 642
6 099
4 897
1 202
1 543
7 687
6 095
4 935
1 159
1 592
7 732
6 106
4 868
1 238
1 627
7 778
6 123
4 815
1 308
1 654
7 821
6 271
4 923
1 348
1 550
43
147
108
39
-104
179
171
25
146
7
0,6
2,4
2,2
3,0
-6,3
2,3
2,8
0,5
12,2
0,5
19,7
64,1
79,8
19,0
64,2
79,3
20,3
63,0
79,0
21,4
61,9
78,7
21,5
62,9
80,2
0,1
1,0
1,5
1,8
-1,2
0,4
5 168
3 708
3 186
522
1 460
5 207
3 784
3 287
497
1 423
5 247
3 811
3 220
591
1 436
5 287
3 820
3 279
541
1 467
5 330
3 891
3 323
568
1 439
43
71
44
27
-28
162
184
137
47
-22
0,8
1,9
1,3
5,0
-1,9
3,1
5,0
4,3
8,9
-1,5
14,1
61,7
71,7
13,1
63,1
72,7
15,5
61,4
72,6
14,2
62,0
72,3
14,6
62,3
73,0
0,4
0,3
0,7
0,5
0,6
1,3
3 502
1 551
1 393
157
1 951
3 531
1 548
1 424
125
1 983
3 561
1 538
1 391
147
2 023
3 590
1 546
1 398
148
2 044
3 621
1 567
1 426
141
2 054
30
21
28
-7
9
119
16
33
-16
103
0,8
1,4
2,0
-4,9
0,5
3,4
1,0
2,3
-10,5
5,3
10,1
39,8
44,3
8,0
40,3
43,8
9,5
39,1
43,2
9,6
38,9
43,1
9,0
39,4
43,3
-0,6
0,5
0,2
-1,1
-0,4
-1,0
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
8
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Year on
year
change
Thousand
36 114
21 246
15 828
5 418
14 867
2 226
12 641
36 272
21 211
16 018
5 193
15 061
2 279
12 782
36 431
21 398
15 675
5 723
15 033
2 434
12 599
36 591
21 179
15 545
5 634
15 412
2 526
12 886
36 750
21 706
15 833
5 873
15 044
2 291
12 753
159
527
288
239
-368
-235
-133
636
460
5
455
176
64
112
25,5
43,8
58,8
24,5
44,2
58,5
26,7
43,0
58,7
26,6
42,5
57,9
27,1
43,1
59,1
0,5
0,6
1,2
1,6
-0,7
0,3
4 293
2 920
2 317
603
1 373
51
1 321
4 317
2 951
2 380
571
1 366
58
1 308
4 341
2 978
2 356
622
1 363
41
1 322
4 365
2 912
2 266
646
1 453
51
1 402
4 389
2 958
2 315
643
1 431
50
1 380
24
46
49
-3
-22
0
-22
96
38
-2
40
58
-1
59
20,6
54,0
68,0
19,4
55,1
68,4
20,9
54,3
68,6
22,2
51,9
66,7
21,7
52,8
67,4
-0,5
0,9
0,7
1,1
-1,2
-0,6
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,4
2,5
1,9
4,2
-2,4
-9,3
-1,0
1,8
2,2
0,0
8,4
1,2
2,9
0,9
0,5
1,6
2,2
-0,5
-1,5
-0,7
-1,5
2,2
1,3
-0,1
6,6
4,2
-2,1
4,5
9
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
1 550
1 038
846
192
512
35
477
1 559
1 050
869
181
510
49
461
1 569
1 056
839
217
513
36
477
1 579
1 007
798
208
572
43
530
1 589
1 050
847
203
539
37
502
10
43
48
-6
-33
-5
-28
39
12
0
11
27
2
25
18,5
54,6
67,0
17,2
55,7
67,3
20,5
53,5
67,3
20,7
50,6
63,8
19,3
53,3
66,1
-1,4
2,7
2,3
0,8
-1,3
-0,9
2 744
1 882
1 471
411
861
17
844
2 758
1 901
1 511
390
856
9
847
2 772
1 921
1 516
405
850
5
846
2 786
1 905
1 468
438
880
8
872
2 800
1 908
1 469
440
892
13
879
14
3
1
2
11
5
6
57
26
-3
29
31
-3
34
21,9
53,6
68,6
20,5
54,8
68,9
21,1
54,7
69,3
23,0
52,7
68,4
23,0
52,4
68,2
0,0
-0,3
-0,2
1,1
-1,2
-0,4
Western Cape - Non metro
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 - City of Cape Town
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,6
4,3
6,1
-2,6
-5,8
-12,7
-5,2
2,5
1,1
0,1
5,9
5,3
6,9
5,2
0,5
0,2
0,1
0,5
1,3
63,1
0,7
2,1
1,4
-0,2
6,9
3,6
-21,0
4,0
Qrt to Qrt
change
10
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
4 115
4 124
4 133
4 142
4 153
11
38
0,3
0,9
1 937
1 372
565
2 177
426
1 751
1 945
1 411
534
2 179
376
1 803
1 914
1 366
548
2 219
510
1 709
1 892
1 350
542
2 251
476
1 775
2 008
1 443
565
2 145
385
1 760
117
93
24
-106
-90
-15
71
71
0
-32
-41
9
6,2
6,9
4,4
-4,7
-19,0
-0,9
3,7
5,2
0,0
-1,5
-9,7
0,5
29,2
33,3
47,1
27,4
34,2
47,2
28,6
33,1
46,3
28,6
32,6
45,7
28,2
34,7
48,4
-0,4
2,1
2,7
-1,0
1,4
1,3
2 829
1 078
2 836
1 127
2 843
1 088
2 850
1 085
2 857
1 176
8
91
28
98
0,3
8,4
1,0
9,0
781
298
1 751
423
1 328
822
305
1 709
363
1 346
787
301
1 754
479
1 275
794
291
1 765
465
1 300
863
313
1 681
355
1 327
68
23
-84
-110
27
82
16
-70
-69
-1
8,6
7,9
-4,7
-23,7
2,0
10,5
5,3
-4,0
-16,2
-0,1
27,6
27,6
38,1
27,1
29,0
39,7
27,6
27,7
38,3
26,8
27,9
38,1
26,7
30,2
41,2
-0,1
2,3
3,1
-0,9
2,6
3,1
Jul-Sep
2015
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
Eastern Cape - Non Metro
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
11
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
500
340
250
90
160
3
157
501
322
245
77
179
13
166
501
305
232
74
196
31
165
502
327
230
98
175
5
170
503
333
239
93
171
21
150
1
5
10
-4
-4
15
-20
3
-7
-11
4
10
17
-7
0,2
1,6
4,2
-4,4
-2,5
292,0
-11,6
0,6
-2,2
-4,4
4,1
6,5
545,4
-4,5
26,4
50,1
68,0
23,8
49,0
64,3
24,1
46,2
60,9
29,8
45,7
65,2
28,1
47,6
66,1
-1,7
1,9
0,9
1,7
-2,5
-1,9
785
519
787
497
789
520
791
480
793
500
2
20
7
-19
0,3
4,1
0,9
-3,7
341
178
267
344
152
291
347
173
269
291
269
341
159
293
10
283
15
5
-18
4
-22
0
-19
27
10
17
4,6
3,2
-5,7
77,9
-7,2
0,0
-10,9
10,1
267
326
154
311
6
305
34,3
43,4
66,1
30,6
43,8
63,1
33,3
44,0
65,9
32,0
41,2
60,7
31,8
43,0
63,0
-0,2
1,8
2,3
-2,5
-0,4
-3,1
Jul-Sep
2015
Eastern Cape - Buffalo City
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
Eastern Cape - Nelson Mandela Bay
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
6,4
12
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
768
771
773
775
778
2
9
0,3
1,2
464
302
161
305
45
260
420
312
108
351
59
292
433
313
121
340
53
287
417
303
114
359
67
291
437
308
129
341
55
286
20
5
15
-18
-13
-5
-26
6
-32
36
10
26
4,9
1,8
13,3
-5,0
-18,8
-1,8
-5,7
1,8
-19,8
11,7
22,4
9,9
34,8
25,8
27,8
27,4
29,6
2,2
-5,2
39,4
60,3
40,4
54,5
40,5
56,1
39,0
53,7
39,6
56,2
0,6
2,5
0,2
-4,1
1 872
1 161
795
366
711
69
642
1 875
1 176
825
351
700
71
629
1 879
1 196
790
405
683
66
617
1 882
1 176
797
379
706
81
625
1 884
1 186
781
405
699
85
614
2
10
-16
26
-7
4
-11
12
25
-14
39
-12
15
-28
0,1
0,8
-2,1
6,9
-1,0
5,0
-1,8
0,7
2,1
-1,8
10,7
-1,7
22,0
-4,3
31,5
42,5
62,0
29,8
44,0
62,7
33,9
42,1
63,6
32,2
42,4
62,5
34,2
41,4
62,9
2,0
-1,0
0,4
2,7
-1,1
0,9
Jul-Sep
2015
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
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
13
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
1 349
822
552
269
527
53
474
1 351
831
559
272
520
47
472
1 352
846
540
307
506
43
463
1 353
825
547
278
528
56
472
1 354
834
538
296
519
58
462
0
9
-9
18
-9
2
-10
5
13
-14
27
-8
4
-13
0,0
1,1
-1,7
6,6
-1,6
3,4
-2,2
0,3
1,5
-2,6
10,0
-1,5
8,4
-2,6
32,8
40,9
60,9
32,7
41,4
61,5
36,2
39,9
62,6
33,7
40,4
61,0
35,5
39,7
61,6
1,8
-0,7
0,6
2,7
-1,2
0,7
523
339
524
344
527
349
529
351
531
351
2
1
8
12
0,3
0,2
1,5
3,6
243
97
184
16
167
266
79
180
23
157
251
99
177
23
154
250
101
178
25
153
243
109
179
27
152
-7
8
1
2
-1
0
12
-4
11
-15
-2,9
7,7
0,7
8,6
-0,6
0,0
12,5
-2,4
66,8
-9,1
28,5
46,4
64,9
22,8
50,7
65,7
28,2
47,6
66,3
28,8
47,3
66,3
30,9
45,8
66,2
2,1
-1,5
-0,1
2,4
-0,6
1,3
Jul-Sep
2015
Free State - Non Metro
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
Free State - Mangaung
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
14
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
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
KwaZulu-Natal - Non Metro
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
6 715
6 739
6 764
6 789
6 815
26
100
0,4
1,5
3 237
2 573
664
3 478
567
2 911
3 181
2 529
652
3 558
608
2 950
3 272
2 515
757
3 493
623
2 869
3 204
2 479
726
3 585
639
2 946
3 262
2 496
766
3 553
704
2 849
58
17
41
-32
65
-97
25
-77
102
75
137
-62
1,8
0,7
5,6
-0,9
10,1
-3,3
0,8
-3,0
15,4
2,2
24,2
-2,1
20,5
38,3
48,2
20,5
37,5
47,2
23,1
37,2
48,4
22,6
36,5
47,2
23,5
36,6
47,9
0,9
0,1
0,7
3,0
-1,7
-0,3
4 360
1 904
4 379
1 845
4 398
1 913
4 417
1 803
4 436
1 832
20
29
77
-72
0,4
1,6
1,8
-3,8
1 450
454
2 455
443
2 013
1 406
439
2 533
489
2 045
1 413
500
2 485
496
1 988
1 353
450
2 614
517
2 097
1 355
477
2 604
584
2 021
2
27
-10
66
-76
-95
23
149
141
8
0,1
6,1
-0,4
12,8
-3,6
-6,6
5,0
6,1
31,8
0,4
23,9
33,3
43,7
23,8
32,1
42,1
26,1
32,1
43,5
25,0
30,6
40,8
26,1
30,5
41,3
1,1
-0,1
0,5
2,2
-2,8
-2,4
15
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
2 355
1 333
1 123
210
1 022
124
898
2 361
1 336
1 124
213
1 025
119
905
2 367
1 359
1 102
257
1 008
127
881
2 372
1 401
1 126
276
971
122
849
2 379
1 430
1 141
289
948
120
828
6
29
15
13
-23
-1
-21
24
98
18
79
-74
-4
-70
0,3
2,1
1,4
4,8
-2,3
-1,2
-2,5
1,0
7,3
1,6
37,8
-7,2
-2,8
-7,8
15,7
47,7
56,6
15,9
47,6
56,6
18,9
46,6
57,4
19,7
47,4
59,1
20,2
48,0
60,1
0,5
0,6
1,0
4,5
0,3
3,5
2 434
1 235
2 445
1 273
2 456
1 284
2 468
1 259
2 479
1 294
11
35
45
59
0,5
2,8
1,9
4,8
921
314
1 198
243
956
969
304
1 172
241
931
924
360
1 172
251
920
915
344
1 209
259
950
900
395
1 185
229
956
-15
50
-24
-30
6
-22
81
-13
-14
0
-1,6
14,7
-2,0
-11,6
0,6
-2,4
25,7
-1,1
-5,7
0,0
25,4
37,9
50,8
23,9
39,6
52,1
28,1
37,6
52,3
27,3
37,1
51,0
30,5
36,3
52,2
3,2
-0,8
1,2
5,1
-1,6
1,4
Jul-Sep
2015
KwaZulu-Natal - eThekwini
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
Qrt to Qrt
change
Year on
year
change
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
16
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
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
Gauteng - Non Metro
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
9 580
9 636
9 692
9 748
9 802
54
222
0,6
2,3
7 023
5 011
2 012
2 558
200
2 358
7 026
5 090
1 936
2 610
197
2 414
7 011
4 895
2 115
2 681
216
2 465
7 008
4 942
2 066
2 740
293
2 448
7 145
5 068
2 078
2 657
268
2 389
138
126
11
-83
-24
-59
123
57
66
99
68
31
2,0
2,6
0,6
-3,0
-8,4
-2,4
1,7
1,1
3,3
3,9
33,9
1,3
28,6
52,3
73,3
27,6
52,8
72,9
30,2
50,5
72,3
29,5
50,7
71,9
29,1
51,7
72,9
-0,4
1,0
1,0
0,5
-0,6
-0,4
1 302
850
1 307
859
1 311
853
1 315
848
1 319
884
4
36
17
34
0,3
4,3
1,3
4,0
602
248
453
73
380
623
236
448
59
388
594
259
458
70
389
587
261
468
86
382
598
286
436
60
376
11
25
-32
-26
-6
-4
38
-17
-13
-4
1,9
9,5
-6,9
-30,3
-1,6
-0,6
15,3
-3,8
-17,7
-1,1
29,2
46,2
65,2
27,5
47,6
65,7
30,3
45,3
65,0
30,8
44,6
64,4
32,3
45,3
67,0
1,5
0,7
2,6
3,1
-0,9
1,8
17
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
2 435
1 830
1 275
555
605
43
562
2 447
1 816
1 256
559
632
42
590
2 459
1 748
1 145
603
711
61
651
2 471
1 775
1 161
615
696
84
612
2 482
1 788
1 222
566
694
77
617
11
13
61
-48
-2
-6
5
47
-41
-53
11
89
35
54
0,5
0,7
5,3
-7,9
-0,3
-7,7
0,8
1,9
-2,3
-4,1
2,1
14,6
80,4
9,6
30,3
52,4
75,1
30,8
51,3
74,2
34,5
46,5
71,1
34,6
47,0
71,8
31,7
49,2
72,0
-2,9
2,2
0,2
1,4
-3,2
-3,1
3 508
2 702
3 532
2 704
3 556
2 746
3 580
2 741
3 605
2 753
24
12
97
51
0,7
0,4
2,8
1,9
1 898
803
806
16
790
1 950
755
827
26
801
1 926
820
810
21
789
1 963
777
840
44
795
1 978
775
852
76
775
14
-2
12
32
-20
80
-28
45
60
-15
0,7
-0,3
1,4
72,0
-2,5
4,2
-3,5
5,6
379,4
-1,9
29,7
54,1
77,0
27,9
55,2
76,6
29,9
54,2
77,2
28,4
54,8
76,5
28,2
54,9
76,4
-0,2
0,1
-0,1
-1,5
0,8
-0,6
Jul-Sep
2015
Gauteng - Ekurhuleni
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 - City of Johannesburg
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
18
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (continued)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
2 335
1 642
1 236
406
693
69
625
2 350
1 647
1 261
386
704
69
634
2 365
1 664
1 231
433
701
65
636
2 381
1 644
1 231
413
737
78
658
2 396
1 720
1 270
450
676
55
621
15
76
39
37
-61
-24
-37
60
78
34
44
-18
-14
-4
0,6
4,6
3,2
9,0
-8,3
-30,4
-5,7
2,6
4,8
2,8
10,9
-2,6
-20,4
-0,6
24,7
52,9
70,3
23,4
53,6
70,1
26,0
52,0
70,4
25,1
51,7
69,1
26,2
53,0
71,8
1,1
1,3
2,7
1,5
0,1
1,5
2 763
2 776
2 789
2 802
2 815
13
53
0,5
1,9
1 604
1 604
1 653
1 645
1 687
42
83
2,6
5,2
1 184
420
1 159
245
914
1 191
413
1 172
266
906
1 160
492
1 136
230
907
1 171
474
1 157
258
899
1 174
513
1 128
211
917
3
39
-29
-47
18
-10
93
-30
-34
4
0,3
8,2
-2,5
-18,3
2,0
-0,8
22,1
-2,6
-13,9
0,4
26,2
42,9
58,1
25,7
42,9
57,8
29,8
41,6
59,3
28,8
41,8
58,7
30,4
41,7
59,9
1,6
-0,1
1,2
4,2
-1,2
1,8
Jul-Sep
2015
Gauteng – City of Tshwane
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
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
19
STATISTICS SOUTH AFRICA
P0211
Table 2.3: Labour force characteristics by province and metro (concluded)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
3 574
1 665
1 353
312
1 909
380
1 529
3 589
1 635
1 311
324
1 954
403
1 550
3 604
1 658
1 355
303
1 946
443
1 503
3 619
1 667
1 324
343
1 952
403
1 550
3 634
1 728
1 349
379
1 906
304
1 602
15
61
25
36
-46
-99
52
60
63
-3
67
-3
-76
73
0,4
3,7
1,9
10,5
-2,4
-24,5
3,4
1,7
3,8
-0,3
21,4
-0,1
-20,0
4,8
18,8
37,9
46,6
19,8
36,5
45,6
18,3
37,6
46,0
20,6
36,6
46,1
21,9
37,1
47,6
1,3
0,5
1,5
3,1
-0,8
1,0
Jul-Sep
2015
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on
year
change
20
STATISTICS SOUTH AFRICA
P0211
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
Both sexes
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
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
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
36 114
24 133
15 828
10 930
2 721
897
1 280
8 304
11 981
36 272
24 205
16 018
11 180
2 684
860
1 294
8 187
12 067
36 431
24 591
15 675
10 983
2 565
869
1 257
8 916
11 840
36 591
24 425
15 545
10 917
2 507
825
1 296
8 880
12 166
36 750
24 849
15 833
11 029
2 641
881
1 281
9 016
11 900
159
424
288
112
135
56
-15
136
-265
636
717
5
99
-80
-16
1
712
-81
34,4
43,8
66,8
33,8
44,2
66,7
36,3
43,0
67,5
36,4
42,5
66,8
36,3
43,1
67,6
-0,1
0,6
0,8
1,9
-0,7
0,8
18 309
11 235
6 912
4 563
1 035
308
1 006
4 323
7 075
18 383
11 288
6 995
4 665
1 019
288
1 023
4 293
7 095
18 456
11 426
6 840
4 641
966
271
961
4 587
7 029
18 530
11 328
6 754
4 583
960
235
976
4 575
7 201
18 604
11 552
6 873
4 652
970
255
996
4 679
7 053
75
223
119
70
9
19
20
104
-148
295
317
-39
90
-66
-53
-10
356
-22
38,5
37,8
61,4
38,0
38,1
61,4
40,1
37,1
61,9
40,4
36,4
61,1
40,5
36,9
62,1
0,1
0,5
1,0
2,0
-0,9
0,7
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,4
1,7
1,9
1,0
5,4
6,8
-1,1
1,5
-2,2
1,8
3,0
0,0
0,9
-2,9
-1,8
0,1
8,6
-0,7
0,4
2,0
1,8
1,5
1,0
8,2
2,1
2,3
-2,1
1,6
2,8
-0,6
2,0
-6,3
-17,4
-1,0
8,2
-0,3
21
STATISTICS SOUTH AFRICA
P0211
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment (concluded)
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qtr-to-Qtr
change
Year-onyear
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
Per cent
17 804
12 898
8 916
6 367
1 686
589
274
3 982
4 906
17 889
12 917
9 023
6 515
1 665
572
270
3 894
4 972
17 975
13 164
8 835
6 342
1 599
598
296
4 329
4 810
18 061
13 097
8 792
6 335
1 546
590
320
4 305
4 964
18 145
13 298
8 960
6 377
1 672
627
285
4 337
4 848
84
201
169
42
125
37
-35
32
-117
341
400
44
9
-14
38
11
356
-59
0,5
1,5
1,9
0,7
8,1
6,2
-10,9
0,7
-2,3
1,9
3,1
0,5
0,1
-0,8
6,4
4,0
8,9
-1,2
30,9
50,1
72,4
30,1
50,4
72,2
32,9
49,2
73,2
32,9
48,7
72,5
32,6
49,4
73,3
-0,3
0,7
0,8
1,7
-0,7
0,9
Jul-Sep
2015
Men
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Qtr-to-Qtr
change
Year-onyear
change
22
STATISTICS SOUTH AFRICA
P0211
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
36 431
24 591
15 675
8 916
11 840
36 591
24 425
15 545
8 880
12 166
36 750
24 849
15 833
9 016
11 900
159
424
288
136
-265
636
717
5
712
-81
33,8
44,2
66,7
36,3
43,0
67,5
36,4
42,5
66,8
36,3
43,1
67,6
-0,1
0,6
0,8
1,9
-0,7
0,8
28 726
19 124
11 704
7 420
9 603
28 879
19 179
11 860
7 319
9 700
29 033
19 566
11 576
7 990
9 467
29 187
19 477
11 506
7 971
9 710
29 341
19 807
11 764
8 043
9 534
154
330
259
72
-176
615
684
61
623
-69
38,8
40,7
66,6
38,2
41,1
66,4
40,8
39,9
67,4
40,9
39,4
66,7
40,6
40,1
67,5
-0,3
0,7
0,8
1,8
-0,6
0,9
3 336
2 264
1 638
626
1 072
3 346
2 268
1 670
599
1 078
3 356
2 287
1 655
632
1 069
3 366
2 235
1 609
626
1 131
3 377
2 302
1 642
660
1 075
10
66
32
34
-56
41
37
3
34
3
27,7
49,1
67,9
26,4
49,9
67,8
27,6
49,3
68,1
28,0
47,8
66,4
28,7
48,6
68,2
0,7
0,8
1,8
1,0
-0,5
0,3
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
36 114
24 133
15 828
8 304
11 981
36 272
24 205
16 018
8 187
12 067
34,4
43,8
66,8
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,4
1,7
1,9
1,5
-2,2
1,8
3,0
0,0
8,6
-0,7
0,5
1,7
2,2
0,9
-1,8
2,1
3,6
0,5
8,4
-0,7
0,3
3,0
2,0
5,4
-5,0
1,2
1,6
0,2
5,4
0,3
Qrt to Qrt
change
23
STATISTICS SOUTH AFRICA
P0211
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment (concluded)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
983
598
499
99
384
985
605
505
100
380
988
639
522
117
349
2
33
17
16
-31
11
33
18
15
-22
14,5
53,4
62,5
16,6
50,8
60,9
16,6
51,2
61,4
18,3
52,8
64,7
1,7
1,6
3,3
1,4
1,2
2,6
3 074
2 139
3 067
2 145
3 059
2 139
3 052
2 107
3 044
2 101
-8
-6
1 983
156
936
1 965
180
921
1 945
194
920
1 926
182
944
1 905
196
942
7,3
64,5
69,6
8,4
64,1
70,0
9,1
63,6
69,9
8,6
63,1
69,1
9,3
62,6
69,0
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
977
606
504
102
371
980
612
524
89
368
16,9
51,6
62,1
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
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,2
5,5
3,4
16,3
-8,1
1,1
5,4
3,6
14,3
-5,8
-31
-37
-0,3
-0,3
-1,0
-1,7
-20
14
-2
-77
40
7
-1,1
7,9
-0,2
-3,9
25,7
0,7
0,7
-0,5
-0,1
2,0
-1,9
-0,6
Qrt to Qrt
change
24
STATISTICS SOUTH AFRICA
P0211
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
36 431
24 591
15 675
8 916
11 840
36 591
24 425
15 545
8 880
12 166
36 750
24 849
15 833
9 016
11 900
159
424
288
136
-265
636
717
5
712
-81
33,8
44,2
66,7
36,3
43,0
67,5
36,4
42,5
66,8
36,3
43,1
67,6
-0,1
0,6
0,8
1,9
-0,7
0,8
10 295
3 645
1 383
2 262
6 651
10 300
3 569
1 317
2 252
6 731
10 305
3 833
1 256
2 577
6 471
10 309
3 644
1 229
2 415
6 665
10 312
3 668
1 265
2 403
6 644
3
24
37
-12
-21
17
24
-117
141
-7
62,1
13,4
35,4
63,1
12,8
34,7
67,2
12,2
37,2
66,3
11,9
35,4
65,5
12,3
35,6
-0,8
0,4
0,2
3,4
-1,1
0,2
9 506
8 148
4 969
3 180
1 358
9 546
8 206
5 054
3 152
1 340
9 586
8 267
4 939
3 328
1 319
9 627
8 181
4 824
3 357
1 445
9 666
8 307
4 896
3 411
1 359
39
126
71
54
-86
160
159
-73
231
1
39,0
52,3
38,4
52,9
40,3
51,5
41,0
50,1
41,1
50,7
0,1
0,6
2,1
-1,6
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
36 114
24 133
15 828
8 304
11 981
36 272
24 205
16 018
8 187
12 067
34,4
43,8
66,8
15-64 years
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
15-24 years
Population 15-24 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
25-34 years
Population 25-34 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,4
1,7
1,9
1,5
-2,2
1,8
3,0
0,0
8,6
-0,7
0,0
0,7
3,0
-0,5
-0,3
0,2
0,7
-8,5
6,3
-0,1
0,4
1,5
1,5
1,6
-6,0
1,7
1,9
-1,5
7,3
0,1
Qrt to Qrt
change
25
STATISTICS SOUTH AFRICA
P0211
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment (concluded)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
7 732
6 699
4 868
1 831
1 033
7 778
6 739
4 815
1 923
1 039
7 821
6 867
4 923
1 944
954
43
128
108
21
-85
179
210
25
185
-31
26,2
64,2
86,9
27,3
63,0
86,6
28,5
61,9
86,6
28,3
62,9
87,8
-0,2
1,0
1,2
1,9
-1,2
0,7
5 168
4 031
3 186
845
1 137
5 207
4 082
3 287
795
1 125
5 247
4 132
3 220
912
1 115
5 287
4 181
3 279
902
1 106
5 330
4 288
3 323
965
1 042
43
107
44
63
-64
162
257
137
120
-95
21,0
61,7
78,0
19,5
63,1
78,4
22,1
61,4
78,7
21,6
62,0
79,1
22,5
62,3
80,5
0,9
0,3
1,4
1,5
0,6
2,5
3 502
1 651
1 393
258
1 850
3 531
1 663
1 424
240
1 868
3 561
1 659
1 391
268
1 901
3 590
1 680
1 398
282
1 911
3 621
1 719
1 426
293
1 902
30
39
28
11
-9
119
68
33
35
51
15,6
39,8
47,2
14,4
40,3
47,1
16,2
39,1
46,6
16,8
38,9
46,8
17,0
39,4
47,5
0,2
0,5
0,7
1,4
-0,4
0,3
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
7 642
6 657
4 897
1 759
986
7 687
6 683
4 935
1 748
1 004
26,4
64,1
87,1
35-44 years
Population 35-44 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
45-54 years
Population 45-54 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
55-64 years
Population 55-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,6
1,9
2,2
1,1
-8,2
2,3
3,2
0,5
10,5
-3,2
0,8
2,6
1,3
6,9
-5,8
3,1
6,4
4,3
14,2
-8,3
0,8
2,3
2,0
4,0
-0,5
3,4
4,1
2,3
13,6
2,8
Qrt to Qrt
change
26
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province and metro – Expanded definition of unemployment
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
36 431
24 591
15 675
8 916
11 840
36 591
24 425
15 545
8 880
12 166
36 750
24 849
15 833
9 016
11 900
159
424
288
136
-265
636
717
5
712
-81
33,8
44,2
66,7
36,3
43,0
67,5
36,4
42,5
66,8
36,3
43,1
67,6
-0,1
0,6
0,8
1,9
-0,7
0,8
4 293
3 014
2 317
697
1 279
4 317
3 052
2 380
673
1 265
4 341
3 059
2 356
703
1 282
4 365
3 005
2 266
739
1 360
4 389
3 079
2 315
764
1 310
24
74
49
25
-50
96
65
-2
67
31
23,1
54,0
70,2
22,0
55,1
70,7
23,0
54,3
70,5
24,6
51,9
68,9
24,8
52,8
70,2
0,2
0,9
1,3
1,7
-1,2
0,0
1 550
1 098
846
252
451
1 559
1 119
869
251
440
1 569
1 121
839
282
448
1 579
1 075
798
277
504
1 589
1 126
847
279
463
10
51
48
2
-41
39
28
0
27
11
23,0
54,6
70,9
22,4
55,7
71,8
25,1
53,5
71,4
25,8
50,6
68,1
24,8
53,3
70,9
-1,0
2,7
2,8
1,8
-1,3
0,0
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
36 114
24 133
15 828
8 304
11 981
36 272
24 205
16 018
8 187
12 067
34,4
43,8
66,8
South Africa
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Western Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Western Cape - Non Metro
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,4
1,7
1,9
1,5
-2,2
1,8
3,0
0,0
8,6
-0,7
0,5
2,5
2,2
3,3
-3,7
2,2
2,2
-0,1
9,6
2,4
0,6
4,7
6,1
0,9
-8,2
2,5
2,5
0,1
10,8
2,5
Qrt to Qrt
change
27
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province and metro – Expanded definition of unemployment (continued)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
2 772
1 938
1 516
422
834
2 786
1 930
1 468
462
856
2 800
1 953
1 469
485
847
14
23
1
22
-9
57
37
-3
40
19
21,8
54,8
70,1
21,8
54,7
69,9
24,0
52,7
69,3
24,8
52,4
69,8
0,8
-0,3
0,5
1,6
-1,2
0,0
4 115
2 387
1 372
1 015
1 728
4 124
2 364
1 411
953
1 759
4 133
2 465
1 366
1 099
1 668
4 142
2 403
1 350
1 054
1 739
4 153
2 458
1 443
1 016
1 695
11
55
93
-38
-44
38
72
71
1
-33
42,5
33,3
58,0
40,3
34,2
57,3
44,6
33,1
59,6
43,8
32,6
58,0
41,3
34,7
59,2
-2,5
2,1
1,2
-1,2
1,4
1,2
2 829
1 521
781
741
1 308
2 836
1 531
822
709
1 305
2 843
1 605
787
818
1 237
2 850
1 577
794
783
1 272
2 857
1 576
863
714
1 281
8
-1
68
-69
9
28
55
82
-27
-27
48,7
27,6
53,8
46,3
29,0
54,0
50,9
27,7
56,5
49,6
27,9
55,4
45,3
30,2
55,2
-4,3
2,3
-0,2
-3,4
2,6
1,4
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
2 744
1 916
1 471
445
828
2 758
1 933
1 511
422
825
23,2
53,6
69,8
Western Cape - City of Cape Town
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Eastern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Eastern Cape - Non Metro
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,5
1,2
0,1
4,8
-1,0
2,1
2,0
-0,2
9,0
2,3
0,3
2,3
6,9
-3,6
-2,5
0,9
3,0
5,2
0,1
-1,9
0,3
-0,1
8,6
-8,9
0,7
1,0
3,6
10,5
-3,6
-2,1
Qrt to Qrt
change
28
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province and metro – Expanded definition of unemployment (continued)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
501
339
232
108
162
502
340
230
110
162
503
372
239
133
131
1
32
10
22
-31
3
26
-11
37
-23
27,3
49,0
67,3
31,8
46,2
67,7
32,5
45,7
67,7
35,7
47,6
73,9
3,2
1,9
6,2
8,1
-2,5
4,7
785
520
341
179
266
787
497
344
152
291
789
520
347
173
269
791
486
326
160
305
793
510
341
169
283
2
24
15
9
-22
7
-9
0
-9
17
34,4
43,4
66,1
30,6
43,8
63,1
33,3
44,0
65,9
32,9
41,2
61,5
33,2
43,0
64,4
0,3
1,8
2,9
-1,2
-0,4
-1,7
768
525
302
223
243
771
510
312
198
261
773
510
313
198
263
775
502
303
200
273
778
529
308
221
249
2
27
5
21
-24
9
4
6
-2
5
42,4
39,4
68,3
38,9
40,4
66,2
38,7
40,5
66,0
39,8
39,0
64,8
41,8
39,6
68,0
2,0
0,6
3,2
-0,6
0,2
-0,3
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
500
346
250
96
154
501
337
245
92
164
27,6
50,1
69,2
Eastern Cape - Buffalo City
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Eastern Cape - Nelson Mandela Bay
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Northern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,2
9,4
4,2
20,2
-19,1
0,6
7,5
-4,4
38,8
-14,9
0,3
5,0
4,6
5,8
-7,2
0,9
-1,8
0,0
-5,2
6,3
0,3
5,3
1,8
10,7
-8,9
1,2
0,8
1,8
-0,7
2,2
Qrt to Qrt
change
29
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province and metro – Expanded definition of unemployment (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
Free State
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Free State - Non Metro
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Free State - Mangaung
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
1 872
1 276
795
482
595
1 875
1 295
825
470
580
1 879
1 305
790
514
574
1 882
1 287
797
490
595
1 884
1 310
781
529
574
2
22
-16
39
-20
12
33
-14
48
-21
37,7
42,5
68,2
36,3
44,0
69,1
39,4
42,1
69,4
38,1
42,4
68,4
40,4
41,4
69,5
2,3
-1,0
1,1
2,7
-1,1
1,3
1 349
912
552
360
437
1 351
920
559
361
431
1 352
927
540
388
425
1 353
908
547
361
445
1 354
918
538
380
435
0
10
-9
20
-10
5
6
-14
21
-2
39,4
40,9
67,6
39,2
41,4
68,1
41,8
39,9
68,6
39,7
40,4
67,1
41,4
39,7
67,8
1,7
-0,7
0,7
2,0
-1,2
0,2
523
365
243
122
158
524
375
266
110
149
527
377
251
127
149
529
379
250
130
149
531
391
243
149
139
2
12
-7
19
-10
8
27
0
27
-19
33,4
46,4
69,7
29,2
50,7
71,6
33,5
47,6
71,6
34,1
47,3
71,8
38,0
45,8
73,8
3,9
-1,5
2,0
4,6
-0,6
4,1
Qrt to Qrt
change
Percent
Year on
year
change
Percent
0,1
1,7
-2,1
7,9
-3,4
0,7
2,6
-1,8
9,9
-3,5
0,0
1,1
-1,7
5,5
-2,2
0,3
0,7
-2,6
5,8
-0,4
0,3
3,1
-2,9
14,7
-6,8
1,5
7,4
0,0
22,0
-12,1
30
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province metro – Expanded definition of unemployment (continued)
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
6 764
4 112
2 515
1 597
2 652
6 789
4 112
2 479
1 633
2 677
6 815
4 188
2 496
1 692
2 627
26
76
17
59
-50
100
191
-77
268
-91
36,8
37,5
59,4
38,8
37,2
60,8
39,7
36,5
60,6
40,4
36,6
61,5
0,7
0,1
0,9
4,8
-1,7
2,0
4 360
2 502
1 450
1 052
1 858
4 379
2 517
1 406
1 112
1 861
4 398
2 597
1 413
1 184
1 800
4 417
2 549
1 353
1 196
1 868
4 436
2 593
1 355
1 239
1 843
20
45
2
43
-25
77
92
-95
187
-15
42,0
33,3
57,4
44,2
32,1
57,5
45,6
32,1
59,1
46,9
30,6
57,7
47,8
30,5
58,5
0,9
-0,1
0,8
5,8
-2,8
1,1
2 355
1 495
1 123
372
860
2 361
1 485
1 124
361
876
2 367
1 515
1 102
413
852
2 372
1 563
1 126
437
809
2 379
1 594
1 141
453
784
6
31
15
16
-25
24
100
18
81
-76
24,9
47,7
63,5
24,3
47,6
62,9
27,3
46,6
64,0
28,0
47,4
65,9
28,4
48,0
67,0
0,4
0,6
1,1
3,5
0,3
3,5
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
6 715
3 997
2 573
1 424
2 718
6 739
4 003
2 529
1 473
2 737
35,6
38,3
59,5
KwaZulu-Natal
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
KwaZulu-Natal - Non Metro
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
KwaZulu-Natal - eThekhwini
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Jul-Sep
2016
Jul-Sep
2015
Percent
Year on
year
change
Percent
0,4
1,8
0,7
3,6
-1,9
1,5
4,8
-3,0
18,9
-3,4
0,4
1,8
0,1
3,6
-1,3
1,8
3,7
-6,6
17,8
-0,8
0,3
2,0
1,4
3,6
-3,1
1,0
6,7
1,6
21,9
-8,8
Qrt to Qrt
change
31
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province metro – Expanded definition of unemployment (continued)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
2 456
1 623
924
699
834
2 468
1 594
915
680
874
2 479
1 625
900
725
854
11
30
-15
45
-19
45
71
-22
93
-26
38,9
39,6
64,9
43,1
37,6
66,1
42,6
37,1
64,6
44,6
36,3
65,5
2,0
-0,8
0,9
3,9
-1,6
1,7
9 580
7 307
5 011
2 296
2 274
9 636
7 294
5 090
2 205
2 342
9 692
7 342
4 895
2 447
2 349
9 748
7 380
4 942
2 438
2 368
9 802
7 539
5 068
2 471
2 263
54
159
126
33
-105
222
233
57
176
-11
31,4
52,3
76,3
30,2
52,8
75,7
33,3
50,5
75,8
33,0
50,7
75,7
32,8
51,7
76,9
-0,2
1,0
1,2
1,4
-0,6
0,6
1 302
936
602
334
366
1 307
928
623
306
378
1 311
966
594
372
345
1 315
967
587
380
349
1 319
982
598
385
337
4
16
11
4
-12
17
46
-4
50
-29
35,7
46,2
71,9
32,9
47,6
71,0
38,5
45,3
73,7
39,3
44,6
73,5
39,1
45,3
74,5
-0,2
0,7
1,0
3,4
-0,9
2,6
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
2 434
1 554
921
632
880
2 445
1 587
969
618
857
40,7
37,9
63,8
North West
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng - Non Metro
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,5
1,9
-1,6
6,7
-2,2
1,9
4,6
-2,4
14,7
-2,9
0,6
2,2
2,6
1,4
-4,4
2,3
3,2
1,1
7,6
-0,5
0,3
1,6
1,9
1,1
-3,3
1,3
5,0
-0,6
15,0
-8,0
Qrt to Qrt
change
32
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province metro – Expanded definition of unemployment (continued)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
2 459
1 830
1 145
685
629
2 471
1 879
1 161
718
592
2 482
1 895
1 222
673
588
11
16
61
-45
-5
47
0
-53
53
47
33,0
51,3
76,7
37,4
46,5
74,4
38,2
47,0
76,0
35,5
49,2
76,3
-2,7
2,2
0,3
2,8
-3,2
-1,5
3 508
2 739
1 898
841
769
3 532
2 752
1 950
803
779
3 556
2 798
1 926
872
758
3 580
2 802
1 963
838
779
3 605
2 858
1 978
881
746
24
57
14
42
-32
97
119
80
40
-22
30,7
54,1
78,1
29,2
55,2
77,9
31,2
54,2
78,7
29,9
54,8
78,3
30,8
54,9
79,3
0,9
0,1
1,0
0,1
0,8
1,2
2 335
1 737
1 236
501
598
2 350
1 738
1 261
477
612
2 365
1 749
1 231
518
616
2 381
1 732
1 231
501
649
2 396
1 803
1 270
533
592
15
71
39
32
-56
60
66
34
32
-6
28,8
52,9
74,4
27,4
53,6
73,9
29,6
52,0
73,9
28,9
51,7
72,8
29,6
53,0
75,3
0,7
1,3
2,5
0,8
0,1
0,9
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
2 435
1 895
1 275
620
541
2 447
1 876
1 256
619
571
32,7
52,4
77,8
Gauteng - Ekurhuleni
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng - City of Johannesburg
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng - City of Tshwane
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,5
0,9
5,3
-6,3
-0,8
1,9
0,0
-4,1
8,6
8,7
0,7
2,0
0,7
5,0
-4,2
2,8
4,4
4,2
4,7
-2,9
0,6
4,1
3,2
6,4
-8,7
2,6
3,8
2,8
6,5
-1,0
Qrt to Qrt
change
33
STATISTICS SOUTH AFRICA
P0211
Table 2.7: Labour force characteristics by province metro – Expanded definition of unemployment (concluded)
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Year on
year
change
Thousand
2 789
1 974
1 160
813
815
2 802
1 983
1 171
813
819
2 815
2 002
1 174
828
813
13
19
3
15
-6
53
62
-10
72
-9
39,4
42,9
70,8
41,2
41,6
70,8
41,0
41,8
70,8
41,4
41,7
71,1
0,4
-0,1
0,3
2,4
-1,2
0,9
3 574
2 133
1 353
780
1 441
3 589
2 133
1 311
822
1 456
3 604
2 201
1 355
846
1 403
3 619
2 158
1 324
833
1 462
3 634
2 119
1 349
770
1 515
15
-38
25
-64
53
60
-14
-3
-11
74
36,6
37,9
59,7
38,6
36,5
59,4
38,5
37,6
61,1
38,6
36,6
59,6
36,3
37,1
58,3
-2,3
0,5
-1,3
-0,3
-0,8
-1,4
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Thousand
Thousand
Thousand
2 763
1 940
1 184
756
822
2 776
1 965
1 191
774
811
39,0
42,9
70,2
Mpumalanga
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Limpopo
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Due to rounding, numbers do not necessarily add up to totals.
Note: 'Employment' refers to market production activities.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
0,5
0,9
0,3
1,9
-0,7
1,9
3,2
-0,8
9,5
-1,1
0,4
-1,8
1,9
-7,6
3,7
1,7
-0,7
-0,3
-1,4
5,2
Qrt to Qrt
change
34
STATISTICS SOUTH AFRICA
Table 3.1: Employed by industry and sex – South Africa
Jul-Sep
Oct-Dec
2015
2015
P0211
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on year
change
Thousand
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
Thousand
15 828
897
446
1 774
127
1 460
3 200
898
2 160
3 582
1 280
4
Thousand
16 018
860
483
1 738
123
1 438
3 280
900
2 273
3 624
1 294
4
Thousand
15 675
869
471
1 645
110
1 362
3 158
901
2 227
3 671
1 257
4
Thousand
15 545
825
447
1 712
111
1 388
3 136
862
2 220
3 544
1 296
4
Thousand
15 833
881
438
1 683
118
1 491
3 198
915
2 323
3 499
1 281
5
Thousand
288
56
-9
-28
7
104
61
53
103
-45
-15
1
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
6 912
308
59
598
25
153
1 504
184
899
2 174
1 006
3
6 995
288
67
576
36
139
1 565
165
945
2 189
1 023
3
6 840
271
65
560
35
157
1 468
167
938
2 214
961
2
6 754
235
58
580
27
142
1 490
155
919
2 167
976
3
6 873
255
54
562
35
164
1 533
177
967
2 126
996
4
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
8 916
589
387
1 177
102
1 306
1 696
715
1 261
1 408
274
1
9 023
572
416
1 162
88
1 300
1 715
735
1 328
1 435
270
1
8 835
598
406
1 085
75
1 205
1 690
734
1 289
1 456
296
1
8 792
590
389
1 131
84
1 245
1 646
707
1 302
1 376
320
1
8 960
627
384
1 121
83
1 327
1 664
738
1 356
1 373
285
1
Quarterly Labour Force Survey, Quarter 3, 2016
Qrt to Qrt
change
Year on year
change
5
-16
-8
-91
-9
31
-2
17
163
-83
1
1
Percent
1,9
6,8
-2,1
-1,7
6,4
7,5
2,0
6,2
4,6
-1,3
-1,1
20,8
Percent
0,0
-1,8
-1,8
-5,1
-6,9
2,1
-0,1
1,9
7,6
-2,3
0,1
30,3
119
19
-4
-18
7
22
43
22
48
-42
20
1
-39
-53
-5
-35
10
11
30
-7
68
-48
-10
1
1,8
8,2
-7,6
-3,1
26,6
15,5
2,9
13,9
5,3
-1,9
2,1
30,3
-0,6
-17,4
-9,0
-5,9
40,8
7,2
2,0
-3,7
7,6
-2,2
-1,0
40,1
169
37
-5
-10
0
81
18
32
54
-3
-35
0
44
38
-3
-56
-19
20
-32
24
95
-34
11
0
1,9
6,2
-1,3
-0,9
-0,3
6,5
1,1
4,5
4,2
-0,2
-10,9
0,1
0,5
6,4
-0,8
-4,7
-18,5
1,6
-1,9
3,3
7,5
-2,4
4,0
8,8
35
STATISTICS SOUTH AFRICA
Table 3.2: Employed by industry and province
Jul-Sep
2015
Thousand
P0211
Oct-Dec
2015
Thousand
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Agriculture
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
897
245
88
34
65
134
55
33
96
145
860
214
89
43
64
141
57
34
92
126
869
228
95
40
72
131
54
37
95
118
825
186
99
42
66
122
37
44
106
123
881
196
100
56
60
141
48
47
100
134
56
10
1
13
-6
19
12
3
-6
11
-16
-49
12
21
-5
7
-7
13
3
-11
6,8
5,5
0,6
31,6
-9,4
15,1
31,5
6,0
-5,7
9,2
-1,8
-19,9
13,1
61,9
-8,2
4,9
-12,5
40,3
3,3
-7,4
Mining
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
446
3
2
22
30
7
154
92
58
78
483
3
1
22
35
8
172
105
61
76
471
2
4
21
35
7
157
95
65
85
447
1
2
19
35
5
140
113
57
75
438
3
1
14
28
5
141
107
59
80
-9
2
-1
-6
-7
0
1
-7
1
5
-8
1
0
-8
-2
-2
-14
15
1
2
-2,1
259,0
-31,2
-28,9
-19,1
3,2
0,6
-6,0
2,5
7,1
-1,8
30,6
-8,1
-38,1
-7,9
-25,6
-8,8
16,3
1,0
2,3
Manufacturing
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
1 774
283
134
10
59
349
76
671
115
78
1 738
324
119
13
69
310
80
653
97
73
1 645
286
121
13
59
316
64
619
86
80
1 712
320
134
11
66
329
70
624
90
67
1 683
301
142
15
60
317
72
605
95
76
-28
-19
8
4
-6
-13
2
-19
5
8
-91
18
8
5
1
-32
-4
-65
-20
-2
-1,7
-5,9
6,0
42,3
-9,6
-3,9
3,2
-3,0
5,7
12,3
-5,1
6,5
6,3
49,4
0,9
-9,3
-5,2
-9,8
-17,1
-2,6
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.
Quarterly Labour Force Survey, Quarter 3, 2016
36
STATISTICS SOUTH AFRICA
Table 3.2: Employed by industry and province (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Utilities
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
127
18
6
3
11
18
3
26
27
15
123
15
7
3
9
10
2
34
27
16
110
11
7
2
10
8
2
29
29
14
111
9
8
1
9
12
4
19
29
20
118
7
6
1
10
2
11
33
32
16
7
-2
-2
0
1
-10
7
14
3
-4
-9
-10
0
-2
-1
-16
8
7
6
1
6,4
-22,1
-25,0
59,2
13,3
-85,6
157,4
72,3
10,2
-18,5
-6,9
-59,1
-0,4
-69,1
-9,6
-90,5
259,2
25,8
20,7
7,3
Construction
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
1 460
196
175
36
61
283
63
391
104
151
1 438
216
166
33
53
240
69
408
123
131
1 362
204
142
28
57
240
59
374
99
158
1 388
211
150
34
56
218
77
383
111
148
1 491
242
180
31
55
203
79
405
130
167
104
31
30
-4
-1
-15
3
22
19
20
31
46
5
-6
-6
-80
16
13
26
16
7,5
14,6
20,1
-10,7
-2,4
-6,7
3,4
5,6
16,6
13,3
2,1
23,5
3,0
-15,6
-9,6
-28,2
24,7
3,4
25,5
10,5
Trade
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
3 200
484
269
53
165
518
176
1 001
237
296
3 280
460
306
46
187
531
168
1 054
242
287
3 158
457
292
49
166
550
163
937
245
300
3 136
433
265
46
155
526
193
972
236
309
3 198
450
312
46
176
540
147
1 017
230
281
61
16
47
-1
21
13
-47
45
-6
-28
-2
-35
42
-7
11
22
-29
15
-7
-15
2,0
3,7
17,9
-1,1
13,6
2,5
-24,1
4,6
-2,7
-8,9
-0,1
-7,2
15,7
-13,0
6,8
4,2
-16,4
1,5
-2,9
-5,1
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.
Quarterly Labour Force Survey, Quarter 3, 2016
37
STATISTICS SOUTH AFRICA
Table 3.2: Employed by industry and province (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Transport
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
898
119
58
10
33
155
37
366
59
60
900
125
67
10
38
155
46
342
61
55
901
121
70
14
34
166
44
342
61
50
862
112
68
13
36
164
33
332
62
42
915
120
72
15
38
179
27
359
53
52
53
8
4
2
2
15
-6
27
-9
10
17
1
15
4
5
24
-10
-7
-6
-8
6,2
7,1
6,3
15,2
5,7
9,0
-18,7
8,2
-14,3
23,9
1,9
0,5
25,4
43,5
14,6
15,3
-27,6
-1,8
-10,6
-13,1
Finance
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
2 160
352
133
17
60
255
92
1 026
129
96
2 273
407
134
19
65
280
94
1 041
130
103
2 227
418
111
28
57
266
99
1 038
115
96
2 220
386
117
19
59
271
83
1 057
129
100
2 323
381
134
18
63
295
85
1 115
122
109
103
-5
17
-1
4
24
3
58
-6
9
163
29
1
1
4
40
-7
89
-7
13
4,6
-1,4
14,8
-5,9
7,1
9,0
3,3
5,5
-5,0
9,0
7,6
8,2
0,9
3,9
6,0
15,5
-7,2
8,7
-5,2
13,7
Community and social services
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
3 582
464
392
92
216
643
183
1 024
257
311
3 624
461
384
96
213
648
200
1 036
259
329
3 671
471
403
89
201
617
207
1 077
266
340
3 544
445
389
84
214
600
201
1 040
244
326
3 499
457
381
89
193
579
209
1 014
260
316
-45
12
-8
4
-21
-21
8
-25
16
-11
-83
-7
-11
-3
-23
-64
27
-9
3
5
-1,3
2,6
-2,1
5,3
-9,8
-3,4
4,1
-2,4
6,6
-3,2
-2,3
-1,5
-2,8
-3,6
-10,8
-10,0
14,6
-0,9
1,3
1,6
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.
Quarterly Labour Force Survey, Quarter 3, 2016
38
STATISTICS SOUTH AFRICA
P0211
Table 3.2: Employed by industry and province (concluded)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
1 280
154
115
25
94
210
81
377
103
122
1 294
155
138
26
93
208
81
378
99
116
1 257
156
122
30
100
214
75
345
101
114
1 296
161
117
34
101
232
77
354
106
114
1 281
157
113
26
97
236
80
362
93
117
-15
-4
-4
-8
-4
4
3
8
-13
3
1
4
-2
0
4
26
-2
-15
-10
-5
-1,1
-2,3
-3,4
-24,6
-3,6
1,8
3,7
2,3
-12,5
2,9
0,1
2,3
-1,6
1,8
3,7
12,5
-2,2
-4,0
-9,3
-3,8
Private households
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu Natal
North West
Gauteng
Mpumalanga
Limpopo
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Year on year
change
Qrt to Qrt
change
Year on year
change
39
STATISTICS SOUTH AFRICA
Table 3.3: Employed by sector and industry – South Africa
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
Total employed
Formal and informal sector (Nonagricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
15 828
16 018
15 675
15 545
15 833
288
5
1,9
0,0
13 651
13 864
13 548
13 424
13 670
246
19
1,8
0,1
446
1 774
127
1 460
3 200
898
2 160
3 582
4
483
1 738
123
1 438
3 280
900
2 273
3 624
4
471
1 645
110
1 362
3 158
901
2 227
3 671
4
447
1 712
111
1 388
3 136
862
2 220
3 544
4
438
1 683
118
1 491
3 198
915
2 323
3 499
5
-9
-28
7
104
61
53
103
-45
1
-8
-91
-9
31
-2
17
163
-83
1
-2,1
-1,7
6,4
7,5
2,0
6,2
4,6
-1,3
20,8
-1,8
-5,1
-6,9
2,1
-0,1
1,9
7,6
-2,3
30,3
10 930
443
1 550
122
1 005
2 100
658
1 928
3 120
4
11 180
480
1 529
118
1 004
2 175
660
2 035
3 175
4
10 983
466
1 456
105
918
2 134
676
2 017
3 207
4
10 917
440
1 510
106
966
2 121
633
2 016
3 122
2
11 029
434
1 497
113
1 016
2 127
661
2 099
3 076
5
112
-6
-13
7
50
6
28
83
-46
3
99
-9
-53
-9
11
28
3
171
-43
1
1,0
-1,4
-0,9
6,4
5,2
0,3
4,4
4,1
-1,5
116,3
0,9
-2,1
-3,4
-7,6
1,1
1,3
0,5
8,9
-1,4
30,3
Informal sector (Non-agricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
2 721
3
224
5
455
1 100
241
232
462
2 684
3
209
5
434
1 105
240
238
450
2 565
5
188
5
444
1 024
225
210
464
2 507
7
201
5
422
1 015
229
204
422
2
2 641
4
186
5
475
1 070
255
224
422
135
-3
-15
0
53
55
26
20
1
-80
1
-38
0
21
-30
14
-8
-40
5,4
-45,4
-7,7
6,3
12,7
5,5
11,2
9,7
0,2
-2,9
30,2
-16,9
10,1
4,6
-2,7
5,8
-3,5
-8,6
Agriculture
Private households
897
1 280
860
1 294
869
1 257
825
1 296
881
1 281
56
-15
-16
1
6,8
-1,1
-1,8
0,1
Formal sector (Non-agricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
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.
Quarterly Labour Force Survey, Quarter 3, 2016
40
STATISTICS SOUTH AFRICA
P0211
Table 3.4: Employed by province and sector
Jul-Sep
2015
Thousand
Oct-Dec
2015
Thousand
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
South Africa
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
15 828
10 930
2 721
897
1 280
16 018
11 180
2 684
860
1 294
15 675
10 983
2 565
869
1 257
15 545
10 917
2 507
825
1 296
15 833
11 029
2 641
881
1 281
288
112
135
56
-15
5
99
-80
-16
1
1,9
1,0
5,4
6,8
-1,1
0,0
0,9
-2,9
-1,8
0,1
Western Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2 317
1 657
261
245
154
2 380
1 747
264
214
155
2 356
1 728
244
228
156
2 266
1 698
221
186
161
2 315
1 727
235
196
157
49
29
14
10
-4
-2
70
-27
-49
4
2,2
1,7
6,2
5,5
-2,3
-0,1
4,2
-10,3
-19,9
2,3
Western Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
846
476
90
222
58
869
516
89
196
68
839
492
73
212
62
798
478
75
175
70
847
515
82
184
65
48
37
8
9
-5
0
39
-8
-38
8
6,1
7,7
10,2
5,2
-7,0
0,1
8,1
-8,4
-17,3
13,5
Western Cape - City of Cape Town
Formal sector (Non-agricultural)
nformal sector (Non-agricultural)
Agriculture
Private households
1 471
1 181
171
23
96
1 511
1 231
175
18
88
1 516
1 236
171
16
94
1 468
1 219
146
11
91
1 469
1 212
152
12
92
1
-7
6
1
1
-3
31
-19
-10
-4
0,1
-0,6
4,1
9,1
1,3
-0,2
2,6
-11,2
-45,4
-4,3
1 372
874
294
88
115
1 411
892
292
89
138
1 366
861
288
95
122
1 350
856
277
99
117
1 443
896
333
100
113
93
40
56
1
-4
71
22
39
12
-2
6,9
4,7
20,3
0,6
-3,4
5,2
2,5
13,2
13,1
-1,6
Eastern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
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.
Quarterly Labour Force Survey, Quarter 3, 2016
41
STATISTICS SOUTH AFRICA
Table 3.4: Employed by province and sector (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Eastern Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
781
434
200
80
67
822
442
222
84
73
787
414
227
85
62
794
439
205
86
64
863
466
239
90
67
68
27
34
4
3
82
32
40
10
0
8,6
6,1
16,8
4,9
4,6
10,5
7,4
19,8
12,5
0,2
Eastern Cape - Buffalo City
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
250
183
45
6
17
245
185
29
3
29
232
178
27
4
23
230
177
26
8
19
239
173
42
5
19
10
-4
15
-3
1
-11
-9
-3
-1
2
4,2
-2,0
58,3
-35,4
2,8
-4,4
-5,0
-6,5
-18,2
12,0
Eastern Cape - Nelson mandela bay
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
341
258
50
2
31
344
265
42
2
35
347
270
34
6
38
326
241
46
6
34
341
257
52
5
27
15
17
7
-1
-7
0
-1
2
3
-4
4,6
6,9
14,3
-15,1
-21,8
0,0
-0,3
4,1
134,7
-13,0
302
203
39
34
25
312
200
42
43
26
313
206
37
40
30
303
187
39
42
34
308
189
38
56
26
5
1
-1
13
-8
6
-15
-1
21
0
1,8
0,8
-2,8
31,6
-24,6
1,8
-7,3
-3,4
61,9
1,8
795
496
140
65
94
825
524
144
64
93
790
483
136
72
100
797
506
124
66
101
781
478
146
60
97
-16
-28
22
-6
-4
-14
-18
6
-5
4
-2,1
-5,6
17,5
-9,4
-3,6
-1,8
-3,7
4,3
-8,2
3,7
Northern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Free State
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
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.
Quarterly Labour Force Survey, Quarter 3, 2016
42
STATISTICS SOUTH AFRICA
Table 3.4: Employed by province and sector (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Free State - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
552
330
92
64
67
559
338
92
61
68
540
303
97
68
71
547
323
85
65
74
538
317
96
59
67
-9
-7
11
-6
-7
-14
-14
4
-5
0
-1,7
-2,1
13,0
-9,9
-9,6
-2,6
-4,2
4,5
-7,9
0,6
Free State - Mangaung
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
243
166
48
1
27
266
186
52
3
25
251
180
39
3
28
250
183
40
1
27
243
161
50
1
30
-7
-22
11
0
3
0
-5
2
0
3
-2,9
-11,9
27,2
39,7
13,0
0,0
-2,8
4,0
-23,1
11,5
2 573
1 715
514
134
210
2 529
1 700
481
141
208
2 515
1 696
473
131
214
2 479
1 686
438
122
232
2 496
1 676
443
141
236
17
-10
5
19
4
-77
-39
-71
7
26
0,7
-0,6
1,1
15,1
1,8
-3,0
-2,3
-13,8
4,9
12,5
KwaZulu-Natal – Non-metro
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 450
897
327
127
98
1 406
856
314
133
103
1 413
850
326
121
116
1 353
823
288
119
123
1 355
819
282
137
117
2
-4
-6
18
-6
-95
-78
-46
10
19
0,1
-0,5
-2,1
15,0
-4,8
-6,6
-8,7
-13,9
7,5
19,3
KwaZulu-Natal – eThekwini
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 123
818
186
7
112
1 124
844
167
8
104
1 102
846
148
10
97
1 126
863
151
3
109
1 141
857
161
4
119
15
-6
11
1
10
18
39
-25
-3
7
1,4
-0,7
7,1
18,0
9,3
1,6
4,8
-13,5
-42,3
6,5
KwaZulu-Natal
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
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.
Quarterly Labour Force Survey, Quarter 3, 2016
43
STATISTICS SOUTH AFRICA
Table 3.4: Employed by province and sector (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
North West
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
921
649
136
55
81
969
715
117
57
81
924
672
122
54
75
915
671
130
37
77
900
636
135
48
80
-15
-35
5
12
3
-22
-13
0
-7
-2
-1,6
-5,2
4,1
31,5
3,7
-2,4
-2,0
-0,1
-12,5
-2,2
Gauteng
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
5 011
3 889
711
33
377
5 090
3 951
726
34
378
4 895
3 863
651
37
345
4 942
3 857
687
44
354
5 068
3 954
705
47
362
126
97
18
3
8
57
65
-6
13
-15
2,6
2,5
2,7
6,0
2,3
1,1
1,7
-0,9
40,3
-4,0
Gauteng – Non-metro
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
602
456
82
13
50
623
465
98
17
42
594
452
87
14
41
587
440
84
19
44
598
453
86
18
41
11
14
2
-1
-3
-4
-3
3
5
-9
1,9
3,1
2,2
-6,4
-6,4
-0,6
-0,7
4,2
38,0
-18,0
Gauteng – Ekurhuleni
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 275
996
178
11
90
1 256
988
173
8
87
1 145
941
127
8
68
1 161
896
177
10
78
1 222
958
168
14
82
61
62
-9
4
4
-53
-39
-10
3
-8
5,3
6,9
-5,0
40,0
5,3
-4,1
-3,9
-5,7
32,0
-8,4
Gauteng – City of Johannesburg
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 898
1 427
320
2
150
1 950
1 485
309
3
153
1 926
1 461
310
6
150
1 963
1 543
273
5
143
1 978
1 528
306
7
137
14
-15
33
2
-6
80
101
-14
5
-12
0,7
-1,0
11,9
51,1
-3,9
4,2
7,1
-4,4
294,0
-8,3
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.
Quarterly Labour Force Survey, Quarter 3, 2016
44
STATISTICS SOUTH AFRICA
Table 3.4: Employed by province and sector (concluded)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
Gauteng – City of Tshwane
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
1 236
1 010
131
8
87
1 261
1 012
146
6
97
1 231
1 008
127
9
86
1 231
979
153
10
89
1 270
1 015
146
8
101
39
37
-7
-2
12
34
6
14
0
14
3,2
3,7
-4,8
-24,3
13,7
2,8
0,6
11,0
-2,2
16,2
Mpumalanga
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 184
732
253
96
103
1 191
758
242
92
99
1 160
717
248
95
101
1 171
720
238
106
106
1 174
734
248
100
93
3
13
9
-6
-13
-10
2
-5
3
-10
0,3
1,9
3,9
-5,7
-12,5
-0,8
0,2
-2,1
3,3
-9,3
Limpopo
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 353
714
372
145
122
1 311
694
375
126
116
1 355
758
365
118
114
1 324
736
352
123
114
1 349
740
358
134
117
25
4
7
11
3
-3
26
-14
-11
-5
1,9
0,5
1,9
9,2
2,9
-0,3
3,6
-3,7
-7,4
-3,8
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.
Quarterly Labour Force Survey, Quarter 3, 2016
45
STATISTICS SOUTH AFRICA
Table 3.5: Employed by sex and occupation – South Africa
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Both sexes
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
15 828
1 284
800
1 471
1 669
2 406
99
2 001
1 275
3 797
1 025
16 018
1 314
772
1 455
1 708
2 529
102
1 989
1 278
3 842
1 029
15 675
1 337
880
1 439
1 616
2 530
68
1 896
1 288
3 631
989
15 545
1 314
857
1 495
1 621
2 437
66
1 890
1 218
3 634
1 013
15 833
1 352
835
1 465
1 651
2 474
72
1 947
1 312
3 700
1 026
288
37
-23
-30
30
36
6
56
94
66
13
5
68
34
-6
-19
68
-27
-55
37
-97
1
1,9
2,8
-2,7
-2,0
1,9
1,5
9,1
3,0
7,8
1,8
1,3
0,0
5,3
4,3
-0,4
-1,1
2,8
-27,1
-2,7
2,9
-2,5
0,1
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
6 912
400
396
843
1 235
1 134
29
206
184
1 498
986
6 995
413
390
838
1 251
1 190
29
185
149
1 558
993
6 840
444
452
800
1 173
1 199
15
215
161
1 446
936
6 754
406
450
798
1 170
1 175
14
203
153
1 431
953
6 873
426
440
815
1 176
1 173
15
206
172
1 480
970
119
20
-9
16
5
-2
1
3
19
49
16
-39
26
44
-28
-60
39
-15
0
-11
-18
-16
1,8
4,9
-2,0
2,1
0,5
-0,2
6,4
1,5
12,2
3,4
1,7
-0,6
6,4
11,1
-3,3
-4,8
3,4
-50,0
-0,1
-6,2
-1,2
-1,6
Men
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
8 916
884
404
629
434
1 271
70
1 795
1 092
2 299
39
9 023
902
382
617
457
1 340
72
1 804
1 129
2 284
36
8 835
893
428
640
444
1 331
53
1 681
1 127
2 185
54
8 792
908
408
697
450
1 262
52
1 687
1 064
2 203
59
8 960
926
394
651
475
1 300
57
1 740
1 140
2 221
56
169
18
-14
-46
25
38
5
53
76
17
-3
44
42
-10
22
41
29
-12
-55
48
-79
17
1,9
1,9
-3,3
-6,7
5,5
3,0
9,8
3,2
7,1
0,8
-5,7
0,5
4,8
-2,4
3,5
9,4
2,3
-17,5
-3,0
4,4
-3,4
43,0
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.
Quarterly Labour Force Survey, Quarter 3, 2016
46
STATISTICS SOUTH AFRICA
Table 3.6: Employed by sex and status in employment – South Africa
Jul-Sep
Oct-Dec
Jan-Mar
2015
2015
2016
Thousand
Thousand
Thousand
P0211
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Both sexes
Employee
Employer
Own-account worker
Unpaid household member
15 828
13 594
811
1 352
71
16 018
13 739
840
1 358
81
15 675
13 458
813
1 328
76
15 545
13 223
855
1 395
72
15 833
13 512
822
1 431
68
288
289
-33
36
-4
5
-82
11
79
-3
1,9
2,2
-3,9
2,6
-5,2
0,0
-0,6
1,3
5,9
-4,3
Women
Employee
Employer
Own-account worker
Unpaid household member
6 912
6 121
156
594
41
6 995
6 182
153
605
55
6 840
6 044
176
570
50
6 754
5 935
186
583
49
6 873
6 043
169
615
46
119
108
-18
32
-3
-39
-78
13
21
5
1,8
1,8
-9,4
5,4
-6,4
-0,6
-1,3
8,3
3,5
11,4
Men
Employee
Employer
Own-account worker
Unpaid household member
8 916
7 473
656
758
29
9 023
7 556
688
753
26
8 835
7 414
637
757
26
8 792
7 288
669
812
22
8 960
7 469
653
816
22
169
180
-16
5
-1
44
-4
-2
58
-8
1,9
2,5
-2,3
0,6
-2,6
0,5
-0,1
-0,3
7,7
-26,3
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.
Quarterly Labour Force Survey, Quarter 3, 2016
47
STATISTICS SOUTH AFRICA
Table 3.7: Employed by sex and usual hours of work – South Africa
Jul-Sep
Oct-Dec
2015
2015
Thousand Thousand
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
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
15 828
347
1 054
1 070
8 809
4 548
16 018
318
996
1 092
8 868
4 744
15 675
307
1 018
1 093
8 516
4 741
15 545
334
1 053
1 089
8 319
4 750
15 833
333
1 088
1 119
8 534
4 757
288
-1
35
30
215
7
5
-14
34
49
-275
209
1,9
-0,2
3,3
2,8
2,6
0,1
0,0
-4,0
3,2
4,6
-3,1
4,6
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
6 912
218
700
645
3 827
1 523
6 995
207
664
651
3 876
1 596
6 840
198
677
657
3 753
1 555
6 754
199
699
670
3 589
1 597
6 873
192
709
690
3 700
1 582
119
-7
10
20
111
-14
-39
-26
9
45
-127
59
1,8
-3,6
1,4
2,9
3,1
-0,9
-0,6
-11,8
1,3
7,0
-3,3
3,9
Men
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
8 916
130
355
425
4 982
3 024
9 023
111
332
441
4 992
3 147
8 835
108
341
437
4 763
3 186
8 792
135
354
419
4 730
3 154
8 960
141
380
429
4 834
3 175
169
6
26
11
104
21
44
12
25
4
-148
150
1,9
4,8
7,2
2,5
2,2
0,7
0,5
9,1
7,0
0,9
-3,0
5,0
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.
Quarterly Labour Force Survey, Quarter 3, 2016
48
STATISTICS SOUTH AFRICA
Table 3.8: Conditions of employment – South Africa
Jul-Sep
2015
Thousand
P0211
Oct-Dec
2015
Thousand
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
13 594
6 208
7 141
245
13 739
6 328
7 142
268
13 458
6 364
6 881
213
13 223
6 155
6 828
241
Women
Yes
No
Don't know
6 121
2 636
3 391
94
6 182
2 674
3 404
105
6 044
2 690
3 261
92
Men
Yes
No
Don't know
7 473
3 572
3 750
151
7 556
3 655
3 738
163
13 594
8 516
4 911
167
Women
Yes
No
Don't know
Men
Yes
No
Don't know
Pension/retirement fund
contribution
Both sexes
Yes
No
Don't know
Entitled to any paid leave
Both sexes
Yes
No
Don't know
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
13 512
6 316
6 953
243
289
161
125
2
-82
108
-188
-2
2,2
2,6
1,8
0,8
-0,6
1,7
-2,6
-0,8
5 935
2 595
3 243
97
6 043
2 679
3 268
96
108
84
25
-1
-78
44
-123
2
1,8
3,2
0,8
-1,1
-1,3
1,7
-3,6
1,7
7 414
3 674
3 620
120
7 288
3 560
3 585
144
7 469
3 637
3 685
147
180
77
100
3
-4
65
-65
-4
2,5
2,2
2,8
2,1
-0,1
1,8
-1,7
-2,4
13 739
8 820
4 751
168
13 458
8 805
4 521
131
13 223
8 683
4 394
147
13 512
8 811
4 566
135
289
128
172
-11
-82
295
-346
-31
2,2
1,5
3,9
-7,7
-0,6
3,5
-7,0
-18,9
6 121
3 737
2 314
69
6 182
3 885
2 240
56
6 044
3 823
2 166
55
5 935
3 805
2 078
52
6 043
3 871
2 126
46
108
66
48
-6
-78
134
-188
-24
1,8
1,7
2,3
-11,3
-1,3
3,6
-8,1
-33,9
7 473
4 779
2 597
97
7 556
4 935
2 510
111
7 414
4 983
2 355
77
7 288
4 878
2 316
95
7 469
4 940
2 439
89
180
62
124
-5
-4
161
-158
-8
2,5
1,3
5,3
-5,7
-0,1
3,4
-6,1
-8,2
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
49
STATISTICS SOUTH AFRICA
P0211
Table 3.8: Conditions of employment – South Africa (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
13 594
13 739
13 458
13 223
13 512
289
-82
2,2
-0,6
9 320
4 275
9 520
4 218
9 425
4 033
9 288
3 936
9 408
4 104
121
168
89
-171
1,3
4,3
1,0
-4,0
Entitled to paid sick leave
Both sexes
Yes
No
Women
Qrt to Qrt
change
Year on year
change
6 121
6 182
6 044
5 935
6 043
108
-78
1,8
-1,3
Yes
No
4 092
2 029
4 208
1 974
4 131
1 912
4 100
1 835
4 144
1 899
44
64
52
-130
1,1
3,5
1,3
-6,4
Men
Yes
No
7 473
5 228
2 246
7 556
5 313
2 244
7 414
5 293
2 121
7 288
5 188
2 101
7 469
5 265
2 204
180
77
104
-4
37
-41
2,5
1,5
4,9
-0,1
0,7
-1,8
13 594
7 196
6 398
13 739
7 546
6 192
13 458
7 475
5 983
13 223
7 409
5 814
13 512
7 501
6 011
289
93
196
-82
306
-388
2,2
1,2
3,4
-0,6
4,2
-6,1
Women
Yes
No
6 121
3 338
2 783
6 182
3 487
2 696
6 044
3 437
2 607
5 935
3 426
2 509
6 043
3 456
2 587
108
30
78
-78
118
-196
1,8
0,9
3,1
-1,3
3,5
-7,0
Men
7 473
7 556
7 414
7 288
7 469
180
-4
2,5
-0,1
Yes
No
3 858
3 616
4 060
3 497
4 038
3 376
3 983
3 306
4 045
3 424
62
118
187
-192
1,6
3,6
4,9
-5,3
Entitled to maternity/paternity leave
Both sexes
Yes
No
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.
Quarterly Labour Force Survey, Quarter 3, 2016
50
STATISTICS SOUTH AFRICA
Table 3.8: Conditions of employment – South Africa (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
UIF contribution
Both sexes
Yes
No
Don't know
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
13 594
13 739
13 458
13 223
13 512
289
-82
2,2
-0,6
8 109
5 242
243
8 266
5 198
275
8 122
5 105
231
8 013
4 970
240
8 203
5 072
237
190
102
-3
94
-170
-6
2,4
2,1
-1,4
1,2
-3,2
-2,4
Women
Yes
No
Don't know
6 121
3 388
2 632
101
6 182
3 438
2 633
112
6 044
3 342
2 598
104
5 935
3 304
2 520
111
6 043
3 423
2 514
106
108
119
-6
-5
-78
36
-119
5
1,8
3,6
-0,3
-4,4
-1,3
1,1
-4,5
5,4
Men
Yes
No
Don't know
7 473
4 722
2 609
142
7 556
4 828
2 565
163
7 414
4 780
2 507
127
7 288
4 709
2 450
129
7 469
4 780
2 558
131
180
71
108
2
-4
58
-51
-11
2,5
1,5
4,4
1,2
-0,1
1,2
-2,0
-8,0
13 594
4 044
9 411
140
13 739
4 025
9 553
160
13 458
4 063
9 282
113
13 223
3 941
9 136
146
13 512
3 954
9 410
148
289
12
274
2
-82
-90
0
9
2,2
0,3
3,0
1,5
-0,6
-2,2
0,0
6,1
Women
Yes
No
Don't know
6 121
1 765
4 302
54
6 182
1 758
4 359
65
6 044
1 775
4 221
49
5 935
1 744
4 141
50
6 043
1 763
4 227
52
108
19
86
3
-78
-1
-75
-1
1,8
1,1
2,1
5,1
-1,3
-0,1
-1,7
-2,3
Men
Yes
No
Don't know
7 473
2 279
5 108
86
7 556
2 267
5 194
95
7 414
2 289
5 061
64
7 288
2 197
4 995
96
7 469
2 190
5 183
96
180
-7
188
0
-4
-89
75
10
2,5
-0,3
3,8
-0,3
-0,1
-3,9
1,5
11,4
Medical aid benefits
Both sexes
Yes
No
Don't know
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.
Quarterly Labour Force Survey, Quarter 3, 2016
51
STATISTICS SOUTH AFRICA
Table 3.8: Conditions of employment – South Africa (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
Income tax (PAYE/SITE) deduction
Both sexes
Yes
No
Don't know
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
13 594
7 240
6 108
246
13 739
7 362
6 104
273
13 458
7 342
5 899
217
13 223
7 153
5 809
261
13 512
7 218
6 024
270
289
66
215
8
-82
-22
-84
23
2,2
0,9
3,7
3,1
-0,6
-0,3
-1,4
9,5
Women
Yes
No
Don't know
6 121
3 070
2 950
100
6 182
3 127
2 949
106
6 044
3 120
2 836
87
5 935
3 048
2 789
98
6 043
3 049
2 888
105
108
1
99
8
-78
-21
-62
5
1,8
0,0
3,5
8,1
-1,3
-0,7
-2,1
5,0
Men
Yes
No
Don't know
7 473
4 170
3 158
146
7 556
4 234
3 155
167
7 414
4 222
3 063
130
7 288
4 105
3 020
164
7 469
4 169
3 136
164
180
64
116
0
-4
-1
-22
18
2,5
1,6
3,8
0,1
-0,1
0,0
-0,7
12,7
13 594
10 744
2 851
13 739
10 942
2 797
13 458
10 781
2 677
13 223
10 572
2 651
13 512
10 807
2 705
289
235
53
-82
64
-146
2,2
2,2
2,0
-0,6
0,6
-5,1
Women
Written contract
Verbal agreement
6 121
4 822
1 299
6 182
4 894
1 288
6 044
4 813
1 231
5 935
4 719
1 216
6 043
4 865
1 178
108
146
-37
-78
43
-121
1,8
3,1
-3,1
-1,3
0,9
-9,3
Men
Written contract
Verbal agreement
7 473
5 922
1 551
7 556
6 048
1 508
7 414
5 968
1 446
7 288
5 853
1 436
7 469
5 943
1 526
180
90
91
-4
21
-25
2,5
1,5
6,3
-0,1
0,3
-1,6
Conditions of employment
Both sexes
Written contract
Verbal agreement
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.
Quarterly Labour Force Survey, Quarter 3, 2016
52
STATISTICS SOUTH AFRICA
Table 3.8: Conditions of employment – South Africa (continued)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
Nature of contract/agreement
Both sexes
Limited duration
Permanent nature
Unspecified duration
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
13 594
1 963
8 204
3 427
13 739
1 959
8 408
3 371
13 458
1 859
8 380
3 219
13 223
1 775
8 168
3 281
13 512
1 928
8 274
3 310
289
153
106
29
-82
-35
70
-117
2,2
8,6
1,3
0,9
-0,6
-1,8
0,9
-3,4
Women
Limited duration
Permanent nature
Unspecified duration
6 121
967
3 579
1 574
6 182
914
3 716
1 552
6 044
909
3 644
1 491
5 935
879
3 556
1 501
6 043
953
3 628
1 462
108
74
72
-39
-78
-14
49
-112
1,8
8,4
2,0
-2,6
-1,3
-1,4
1,4
-7,1
Men
Limited duration
Permanent nature
Unspecified duration
7 473
995
4 625
1 853
7 556
1 045
4 692
1 820
7 414
950
4 736
1 728
7 288
896
4 612
1 780
7 469
976
4 646
1 848
181
80
34
68
-4
-19
21
-5
2,5
8,9
0,7
3,8
-0,1
-1,9
0,5
-0,3
13 594
3 667
9 563
365
13 739
3 835
9 559
345
13 458
3 788
9 299
371
13 223
3 716
9 117
390
13 512
3 781
9 373
358
289
65
256
-32
-82
114
-190
-7
2,2
1,7
2,8
-8,2
-0,6
3,1
-2,0
-1,9
Women
Yes
No
Don't know
6 121
1 500
4 484
137
6 182
1 604
4 442
137
6 044
1 575
4 321
148
5 935
1 587
4 191
158
6 043
1 617
4 289
137
108
30
98
-21
-78
117
-195
0
1,8
1,9
2,3
-13,3
-1,3
7,8
-4,3
0,0
Men
Yes
No
Don't know
7 473
2 167
5 078
228
7 556
2 232
5 117
207
7 414
2 213
4 978
223
7 288
2 129
4 927
232
7 469
2 164
5 084
220
181
35
157
-12
-4
-3
6
-8
2,5
1,6
3,2
-5,2
-0,1
-0,1
0,1
-3,5
Trade union membership
Both sexes
Yes
No
Don't know
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.
Quarterly Labour Force Survey, Quarter 3, 2016
53
STATISTICS SOUTH AFRICA
Table 3.8: Conditions of employment – South Africa (concluded)
Jul-Sep
Oct-Dec
2015
2015
Thousand
Thousand
How annual salary increment is
negotiated
Both sexes
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
Women
P0211
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
13 594
13 739
13 458
13 223
13 512
289
-82
2,2
-0,6
1 293
2 803
1 103
7 620
720
55
1 236
2 955
1 133
7 691
683
41
1 137
2 966
1 058
7 561
684
51
1 124
2 945
1 054
7 359
694
49
1 094
2 946
1 076
7 595
736
64
-30
1
22
236
42
15
-199
143
-27
-25
16
9
-2,7
0,0
2,1
3,2
6,1
30,6
-15,4
5,1
-2,4
-0,3
2,2
16,4
6 121
6 182
6 044
5 935
6 043
108
-78
1,8
-1,3
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
575
1 095
543
3 563
320
24
529
1 167
583
3 578
313
14
472
1 169
556
3 528
298
20
506
1 188
547
3 341
333
20
468
1 193
538
3 450
368
25
-38
5
-9
109
35
5
-107
98
-5
-113
48
1
-7,5
0,4
-1,6
3,3
10,5
25,0
-18,6
8,9
-0,9
-3,2
15,0
4,2
Men
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
7 473
718
1 709
560
4 057
399
30
7 556
707
1 789
550
4 113
370
28
7 414
665
1 797
502
4 033
386
31
7 288
618
1 757
507
4 018
361
28
7 469
625
1 753
538
4 146
368
39
181
7
-4
31
128
7
11
-4
-93
44
-22
89
-31
9
2,5
1,1
-0,2
6,1
3,2
1,9
39,3
-0,1
-13,0
2,6
-3,9
2,2
-7,8
30,0
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.
Quarterly Labour Force Survey, Quarter 3, 2016
54
STATISTICS SOUTH AFRICA
Table 3.9: Time-related underemployment – South Africa
Jul-Sep
2015
Thousand
P0211
Oct-Dec
2015
Thousand
Jan-Mar
2016
Thousand
Apr-Jun
2016
Thousand
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
-0,6
-4,4
5,1
0,7
-6,7
12,6
Both sexes
Women
Men
744
462
282
692
401
290
656
388
268
753
451
303
749
431
318
-4
-20
16
5
-31
36
As percentage of the labour force (both sexes)
Women
Men
3,5
4,8
2,4
3,3
4,2
2,5
3,1
4,0
2,3
3,6
4,7
2,6
3,5
4,4
2,7
-0,1
-0,3
0,1
0,0
-0,4
0,3
As percentage of total employment (both sexes)
Women
Men
4,7
6,7
3,2
4,3
5,7
3,2
4,2
5,7
3,0
4,8
6,7
3,4
4,7
6,3
3,5
-0,1
-0,4
0,1
0,0
-0,4
0,3
Industry
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
744
23
1
37
2
83
127
24
47
170
231
692
17
1
35
73
115
13
39
174
224
656
22
1
33
1
79
98
13
47
149
213
753
31
0
25
3
90
122
11
47
170
254
749
34
1
35
1
79
126
21
48
178
227
-4
4
0
10
-2
-11
4
10
1
8
-27
5
11
0
-3
-1
-4
-2
-3
1
8
-4
-0,6
11,7
65,8
39,0
-65,5
-11,9
2,9
89,3
2,2
4,6
-10,8
0,7
50,5
18,2
-6,8
-38,3
-4,4
-1,3
-13,3
1,9
5,0
-1,9
Occupation
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
744
11
7
34
23
79
5
73
23
315
173
692
8
3
38
22
76
7
81
8
302
147
656
7
5
27
16
72
1
73
16
280
159
753
14
3
38
26
80
4
85
14
307
182
749
11
5
30
22
90
1
79
20
321
170
-4
-3
2
-8
-4
10
-3
-6
6
14
-12
5
0
-2
-4
-1
10
-4
6
-4
6
-3
-0,6
-24,0
78,7
-21,0
-14,2
12,0
-66,9
-6,6
42,1
4,6
-6,8
0,7
-1,2
-27,9
-10,9
-2,9
12,9
-75,7
8,1
-15,1
1,8
-1,5
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.
Quarterly Labour Force Survey, Quarter 3, 2016
55
STATISTICS SOUTH AFRICA
P0211
Table 4: Characteristics of the unemployed – South Africa
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
Unemployed
Job losers
Job leavers
New entrants
Re-entrants
Other
5 418
1 781
360
2 147
246
884
5 193
1 664
302
2 125
220
881
5 723
1 805
353
2 293
282
991
5 634
1 786
277
2 306
304
960
5 873
1 857
315
2 331
323
1 047
239
71
37
25
19
87
Unemployed
Long-term unemployment (1 year and more)
Short-term unemployment (less than 1 year)
5 418
3 591
1 827
5 193
3 473
1 720
5 723
3 713
2 011
5 634
3 768
1 866
5 873
3 904
1 969
16,9
66,3
16,4
66,9
17,4
64,9
17,8
66,9
2 387
61
44
119
246
372
17
381
195
765
187
2 186
40
50
121
257
343
13
382
170
650
161
2 440
53
55
141
267
393
8
400
200
751
172
2 367
39
48
123
276
377
4
394
208
730
168
Long-term unemployment (%)
Proportion of the labour force
Proportion of the unemployed
Those who have worked in the past 5 years
Previous occupation
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
455
76
-45
183
77
163
4,2
4,0
13,4
1,1
6,3
9,0
8,4
4,3
-12,5
8,5
31,3
18,5
239
136
103
455
313
142
4,2
3,6
5,5
8,4
8,7
7,8
18,0
66,5
0,2
-0,4
1,1
0,2
2 495
60
45
147
271
391
10
410
202
776
182
127
21
-4
24
-5
15
6
16
-6
46
14
108
-1
0
28
25
19
-6
29
7
12
-5
5,4
55,6
-8,0
19,4
-1,7
3,9
145,2
4,1
-2,7
6,3
8,0
4,5
-1,2
0,1
23,7
10,2
5,1
-38,0
7,7
3,5
1,5
-2,7
Qrt to Qrt
change
56
STATISTICS SOUTH AFRICA
P0211
Table 4: Characteristics of the unemployed – South Africa (concluded)
Jul-Sep
2015
Previous industry
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
Oct-Dec
2015
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
2 387
133
53
295
21
374
515
115
305
333
240
2 186
117
42
259
16
355
518
98
262
302
216
2 440
126
61
295
13
415
537
109
314
332
236
2
2 367
143
55
304
11
375
527
116
296
314
227
2 495
152
66
284
9
410
559
122
348
308
238
127
9
10
-20
-2
35
32
6
51
-6
12
108
18
12
-12
-12
35
43
7
42
-25
-2
5,4
6,1
18,9
-6,6
-17,9
9,3
6,0
5,5
17,3
-1,8
5,2
4,5
13,5
22,8
-4,0
-55,7
9,4
8,4
6,1
13,9
-7,6
-0,7
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Jan-Mar
2016
57
STATISTICS SOUTH AFRICA
P0211
Table 5: Characteristics of the not economically active – South Africa
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
14 867
6 268
2 632
1 653
1 311
2 226
778
15 061
6 359
2 593
1 717
1 309
2 279
805
15 033
6 072
2 673
1 685
1 320
2 434
850
15 412
6 353
2 781
1 630
1 369
2 526
753
15 044
6 278
2 650
1 647
1 390
2 291
788
-368
-74
-131
17
21
-235
35
176
10
18
-6
79
64
11
Inactivity rate by age (both sexes)
15–24 yrs
25–54 yrs
55–64 yrs
41,2
73,2
24,1
55,7
41,5
74,2
24,2
56,2
41,3
73,2
24,2
56,8
42,1
74,2
25,2
56,9
40,9
73,2
23,8
56,7
-1,2
-1,0
-1,4
-0,2
-0,3
0,0
-0,3
1,0
Inactivity rate by age (women)
15–24 yrs
25–54 yrs
55–64 yrs
47,6
76,3
31,7
64,3
48,0
76,7
32,2
63,9
47,6
76,0
31,7
65,4
48,6
77,1
33,0
64,8
47,7
76,6
31,7
65,2
-0,9
-0,5
-1,3
0,4
0,1
0,3
0,0
0,9
Inactivity rate by age (men)
15–24 yrs
25–54 yrs
55–64 yrs
34,5
70,0
16,4
45,3
34,9
71,8
16,1
46,8
34,8
70,4
16,6
46,4
35,5
71,4
17,2
47,4
34,0
69,8
15,9
46,4
-1,5
-1,6
-1,3
-1,0
-0,5
-0,2
-0,5
1,1
Not economically active
Student
Homemaker
Illness/disability
Too old/young to work
Discouraged work-seekers
Other
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
-2,4
-1,2
-4,7
1,0
1,5
-9,3
4,7
1,2
0,2
0,7
-0,3
6,0
2,9
1,4
Qrt to Qrt
change
58
STATISTICS SOUTH AFRICA
P0211
Table 6: Sociodemographic characteristics – South Africa
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
15 828
1 383
4 969
4 897
3 186
1 393
16 018
1 317
5 054
4 935
3 287
1 424
15 675
1 256
4 939
4 868
3 220
1 391
15 545
1 229
4 824
4 815
3 279
1 398
15 833
1 265
4 896
4 923
3 323
1 426
288
37
71
108
44
28
5 418
1 379
2 158
1 202
522
157
5 193
1 337
2 075
1 159
497
125
5 723
1 506
2 242
1 238
591
147
5 634
1 428
2 208
1 308
541
148
5 873
1 497
2 319
1 348
568
141
Age group of the not economically active
15–24 yrs
25–34 yrs
35–44 yrs
45–54 yrs
55–64 yrs
14 867
7 533
2 379
1 543
1 460
1 951
15 061
7 646
2 416
1 592
1 423
1 983
15 033
7 543
2 405
1 627
1 436
2 023
15 412
7 653
2 594
1 654
1 467
2 044
Highest level of education of the
employed
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
15 828
384
1 226
700
5 197
4 933
3 202
186
16 018
386
1 139
643
5 359
5 140
3 162
190
15 675
341
1 121
652
5 196
5 071
3 122
170
15 545
337
1 150
655
5 161
4 994
3 063
186
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
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
5
-117
-73
25
137
33
1,9
3,0
1,5
2,2
1,3
2,0
0,0
-8,5
-1,5
0,5
4,3
2,3
239
69
111
39
27
-7
455
118
161
146
47
-16
4,2
4,9
5,0
3,0
5,0
-4,9
8,4
8,5
7,4
12,2
8,9
-10,5
15 044
7 549
2 451
1 550
1 439
2 054
-368
-103
-143
-104
-28
9
176
16
72
7
-22
103
-2,4
-1,3
-5,5
-6,3
-1,9
0,5
1,2
0,2
3,0
0,5
-1,5
5,3
15 833
327
1 136
682
5 439
5 047
3 068
134
288
-10
-13
27
278
53
4
-52
5
-57
-90
-18
242
113
-134
-51
1,9
-2,9
-1,2
4,2
5,4
1,1
0,1
-27,8
0,0
-14,8
-7,3
-2,6
4,6
2,3
-4,2
-27,6
Qrt to Qrt
change
59
STATISTICS SOUTH AFRICA
P0211
Table 6: Sociodemographic characteristics – South Africa (continued)
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
5 418
90
310
240
2 506
1 842
408
22
5 193
65
343
215
2 369
1 764
405
32
5 723
83
363
250
2 619
1 933
435
42
5 634
74
352
213
2 648
1 871
426
49
5 873
82
359
216
2 849
1 870
467
31
239
8
6
3
200
-1
41
-18
Highest level of education of the not
economically active
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
14 867
695
1 730
982
7 976
2 794
569
122
15 061
699
1 757
995
8 190
2 770
525
124
15 033
675
1 640
902
7 974
3 144
561
137
15 412
696
1 662
950
8 230
3 156
563
156
15 044
666
1 615
1 029
8 127
2 896
544
167
Employed
Attending educational institution
Not attending educational institution
15 828
409
15 419
16 018
370
15 648
15 675
367
15 308
15 545
356
15 189
Unemployed
Attending educational institution
Not attending educational institution
5 418
137
5 281
5 193
120
5 073
5 723
120
5 603
Not economically active
Attending educational institution
Not attending educational institution
14 867
6 166
8 701
15 061
6 261
8 800
15 033
5 919
9 114
Highest level of education of the unemployed
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 3, 2016
Jul-Sep
2015
Oct-Dec
2015
Thousand
Percent
Year on
year
change
Percent
455
-8
48
-24
343
28
59
9
4,2
11,5
1,7
1,3
7,6
0,0
9,5
-37,4
8,4
-8,9
15,6
-10,1
13,7
1,5
14,4
41,2
-368
-30
-47
80
-103
-260
-19
11
176
-29
-115
47
151
102
-25
45
-2,4
-4,3
-2,8
8,4
-1,3
-8,2
-3,3
6,8
1,2
-4,2
-6,7
4,8
1,9
3,7
-4,3
36,6
15 833
363
15 470
288
7
281
5
-47
51
1,9
1,9
1,9
0,0
-11,4
0,3
5 634
103
5 531
5 873
113
5 760
239
11
229
455
-24
479
4,2
10,3
4,1
8,4
-17,6
9,1
15 412
6 191
9 221
15 044
6 204
8 839
-368
13
-382
176
38
139
-2,4
0,2
-4,1
1,2
0,6
1,6
Qrt to Qrt
change
60
STATISTICS SOUTH AFRICA
P0211
Table 6: Sociodemographic characteristics – South Africa (continued)
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
Employed and attending by type of educational
institution
Pre-school
Odinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre(ABET CENTRE)
Literacy classes (eg KHA RI GUDE, SANLI)
Home based education or home schooling
409
2
47
34
51
264
10
1
-
370
1
31
25
55
243
10
3
367
2
31
44
51
230
9
-
356
1
27
3
31
57
228
8
1
1
363
3
22
1
27
64
239
5
1
1
7
2
-5
-1
-4
7
11
-3
0
0
Unemployed and attending by type of educational
institution
Pre-school
Odinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre(ABET CENTRE)
Literacy classes (eg KHA RI GUDE, SANLI)
137
40
4
35
14
39
6
-
120
2
38
25
20
26
7
-
120
1
48
1
20
20
24
7
-
103
0
30
1
22
16
25
7
1
113
1
32
19
17
33
10
-
Not economically active and attending by type of
educational institution
Pre-school
Odinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre(ABET CENTRE)
Literacy classes (eg KHA RI GUDE, SANLI)
6 166
20
4 863
45
440
167
590
36
0
6 261
20
5 050
35
390
166
570
26
3
5 919
1
4 564
49
432
206
636
31
-
6 191
3
4 775
44
423
235
656
52
1
6 204
13
4 842
54
393
224
639
33
-
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Percent
Year on
year
change
Percent
-47
1
-26
-7
12
-25
-4
0
-
1,9
299,3
-20,3
-43,2
-11,4
11,6
4,6
-33,8
-32,2
70,5
-11,4
32,6
-54,5
-19,5
23,6
-9,6
-44,9
10,2
-
11
0
2
-2
2
8
3
-
-24
-8
-15
3
-6
5
-
10,3
85,6
6,2
-11,0
10,5
31,4
49,1
-
-17,6
-20,5
-44,4
23,1
-14,7
83,9
-
13
11
67
10
-30
-11
-17
-19
-
38
-7
-22
9
-47
57
49
-3
-
0,2
403,3
1,4
22,7
-7,1
-4,6
-2,6
-36,5
-
0,6
-33,0
-0,4
21,2
-10,7
34,1
8,4
-7,5
-
Qrt to Qrt
change
61
STATISTICS SOUTH AFRICA
P0211
Table 6: Sociodemographic characteristics – South Africa (concluded)
Current marital status of the employed
Married
Living together like husband and wife
Widow/widower
Divorced or separated
Never married
Current marital status of the unemployed
Married
Living together like husband and wife
Widow/widower
Divorced or separated
Never married
Current marital status of the not economically
active
Married
Living together like husband and wife
Widow/widower
Divorced or separated
Never married
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 3, 2016
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Percent
15 828
6 283
1 883
449
506
6 708
16 018
6 306
1 978
459
513
6 762
15 675
6 185
1 922
459
485
6 623
15 545
6 111
1 972
463
475
6 524
15 833
6 141
2 032
474
500
6 686
288
30
60
11
24
161
5
-142
150
25
-6
-22
1,9
0,5
3,1
2,5
5,1
2,5
0,0
-2,3
8,0
5,6
-1,2
-0,3
5 418
962
638
70
88
3 659
5 193
899
578
58
100
3 557
5 723
945
642
82
109
3 945
5 634
878
682
85
99
3 889
5 873
938
690
81
102
4 063
239
60
7
-4
3
173
455
-24
51
10
13
404
4,2
6,9
1,0
-5,1
2,9
4,5
8,4
-2,5
8,1
14,9
15,1
11,0
14 867
2 779
795
625
243
15 061
2 750
794
629
265
15 033
2 815
791
605
263
15 412
2 846
854
599
279
15 044
2 808
784
597
248
-368
-38
-70
-2
-31
176
29
-11
-29
6
-2,4
-1,3
-8,2
-0,4
-11,1
1,2
1,0
-1,3
-4,6
2,4
10 426
10 624
10 559
10 833
10 606
-226
181
-2,1
1,7
Qrt to Qrt
change
Year on
year
change
62
STATISTICS SOUTH AFRICA
Table 7: Profile of those not in education and not in employment – South Africa
Jul-Sep
Oct-Dec
Jan-Mar
Apr-Jun
2015
2015
2016
2016
Thousand
Thousand
Thousand
Thousand
P0211
Jul-Sep
2016
Thousand
Qrt to Qrt
change
Thousand
Year on year
change
Thousand
Qrt to Qrt
change
Percent
Year on year
change
Percent
Both sexes
Women
Men
13 981
8 201
5 780
13 873
8 186
5 687
14 717
8 569
6 148
14 752
8 587
6 165
14 599
8 549
6 050
-153
-39
-114
618
347
271
-1,0
-0,4
-1,9
4,4
4,2
4,7
Age group
15–24 yrs
25–34 yrs
35–44 yrs
45–54 yrs
55–64 yrs
13 981
3 044
4 175
2 695
1 966
2 102
13 873
2 997
4 157
2 698
1 914
2 106
14 717
3 398
4 317
2 821
2 015
2 166
14 752
3 217
4 427
2 913
2 002
2 192
14 599
3 153
4 403
2 861
1 990
2 192
-153
-64
-25
-52
-11
0
618
109
228
166
24
90
-1,0
-2,0
-0,6
-1,8
-0,6
0,0
4,4
3,6
5,5
6,2
1,2
4,3
Population groups
Black African
Coloured
Indian/Asian
White
13 981
11 681
1 275
347
679
13 873
11 616
1 239
336
682
14 717
12 353
1 298
360
706
14 752
12 379
1 343
344
686
14 599
12 206
1 316
348
729
-153
-173
-27
5
42
618
525
41
2
49
-1,0
-1,4
-2,0
1,3
6,1
4,4
4,5
3,2
0,5
7,3
South Africa
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
13 981
1 407
1 848
359
766
2 775
1 102
3 290
1 068
1 366
13 873
1 368
1 846
336
735
2 781
1 085
3 235
1 075
1 412
14 717
1 455
1 955
342
782
2 951
1 147
3 513
1 135
1 438
14 752
1 528
1 913
361
763
2 900
1 169
3 497
1 135
1 486
14 599
1 476
1 824
361
792
2 957
1 173
3 491
1 119
1 406
-153
-52
-89
0
29
58
4
-6
-16
-80
618
69
-24
3
26
183
71
200
51
40
-1,0
-3,4
-4,7
0,1
3,8
2,0
0,3
-0,2
-1,4
-5,4
4,4
4,9
-1,3
0,7
3,4
6,6
6,5
6,1
4,7
2,9
Quarterly Labour Force Survey, Quarter 3, 2016
63
STATISTICS SOUTH AFRICA
P0211
Table 8: 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
Employed
Unemployed
Not economically active
Western 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
Employed
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
Employed
Unemployed
Not economically active
Jul-Sep
2015
Oct-Dec
2015
Jan-Mar
2016
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year on
year
change
Thousand
1 397
4 663
174
317
34
5 558
1 530
751
3 277
1 604
4 710
124
369
25
5 976
1 707
765
3 505
1 647
4 552
106
659
31
5 975
1 756
864
3 354
1 637
4 822
107
485
40
6 057
1 659
847
3 551
1 829
4 989
248
821
41
6 284
1 757
912
3 615
192
167
141
336
2
227
98
65
63
10
32
1
2
14
22
10
29
5
20
1
5
23
0
2
43
20
3
19
1
3
36
24
7
5
1
1
39
23
6
11
27
12
7
7
28
14
6
8
1
1
-1
0
-15
-7
3
-11
4,7
11,5
-9,4
6,7
-35
-32,7
89,5
-59
479
1 149
21
88
7
1 410
328
175
907
413
1 153
10
17
3
1 432
365
173
893
424
989
5
77
1
1 270
303
135
833
363
1 136
8
89
4
1 348
298
148
903
402
1 139
6
133
1
1 354
295
154
905
39
2
-2
44
-3
6
-2
6
3
-77
-10
-16
45
-6
-55
-32
-21
-2
10,6
0,2
-26,8
49,9
-72,7
0,4
-0,8
3,8
0,3
-16
-0,9
-73,2
51,3
-84,2
-3,9
-9,9
-12
-0,2
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.
Quarterly Labour Force Survey, Quarter 3, 2016
1
Percent
Year on
year
change
Percent
432
326
74
504
7
726
227
161
338
11,7
3,5
131,8
69,3
3,9
3,7
5,9
7,7
1,8
30,9
7
42,4
158,7
21,9
13,1
14,9
21,4
10,3
-4
-9
-0,6
11,4
-45,5
-29,4
Qrt to Qrt
change
-2
-63,1
64
STATISTICS SOUTH AFRICA
P0211
Table 8: Involvement in non-market activities and labour market status by province (continued)
Northern 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
Employed
Unemployed
Not economically active
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
Employed
Unemployed
Not economically active
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
Employed
Unemployed
Not economically active
Jul-Sep
2015
Oct-Dec
2015
Thousand
Thousand
17
87
1
1
100
32
28
40
35
50
Year on
year
change
Percent
Apr-Jun
2016
Jul-Sep
2016
Qrt to Qrt
change
Year on
year change
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
18
91
2
1
1
106
29
31
46
15
97
4
1
2
110
23
32
55
28
112
4
3
1
128
28
34
66
18
92
0
2
3
103
20
27
56
-10
-20
-4
-2
2
-25
-8
-7
-10
1
5
-1
5,9
5,7
-81,6
2
3
-12
-1
16
-35,9
-18,1
-93,1
-49,9
228,9
-19,8
-28,6
-22,0
-15,0
96
31
2
137
85
1
1
3
199
79
30
91
109
65
-28
-21
74
15
-20,3
-24,1
209,4
30,1
2
6
167
74
39
54
1
2
-32
-5
9
-36
1
5
84
35
26
23
112,1
72,6
-16,0
-6,5
31,2
-39,9
63,5
575,2
100,8
90,5
192,3
74,6
738
1 316
71
80
18
1 756
470
178
1 108
937
1 388
215
288
17
1 815
448
191
1 176
199
72
144
208
-1
59
-23
13
68
438
106
104
169
0
229
52
9
168
26,9
5,5
202,5
258,5
-3,5
3,3
-4,8
7,5
6,1
88
8,2
93,4
140,8
-0,3
14,5
13,2
4,9
16,7
1
1
83
39
13
31
3
124
56
18
50
92
64
4
2
3
139
62
23
54
498
1 283
111
120
17
1 585
395
182
1 008
657
1 373
77
103
7
1 801
459
165
1 177
714
1 322
68
87
11
1 700
461
197
1 043
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Jan-Mar
2016
164
2,7
-38,2
-5,1
40,8
65
STATISTICS SOUTH AFRICA
P0211
Table 8: Involvement in non-market activities and labour market status by province (continued)
Oct-Dec
2015
Thousand
Thousand
26
421
8
1
Jul-Sep
2016
Qrt to Qrt
change
Year on year
change
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
25
432
3
15
33
448
4
9
480
115
97
269
-1
55
-1
1
2
51
15
31
5
80,1
33,4
5,8
40,9
-1,4
12,7
-42,5
7,4
171,7
10,8
11,2
52,3
1,9
54,7
15,7
-83
2154,6
457
116
78
263
41
488
1
18
2
522
146
90
286
14,5
66,3
-7,0
17,1
442
112
85
245
41
433
2
17
1
471
131
59
281
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
Employed
Unemployed
Not economically active
42
157
4
61
4
250
148
74
28
44
161
5
188
4
390
212
111
67
24
141
2
423
7
587
322
166
99
25
120
4
235
5
353
167
141
44
39
136
1
320
6
465
258
134
73
14
16
-4
85
1
113
90
-7
29
-3,1
-21,2
-3,3
258,8
2,5
215,1
109,5
60,5
45,1
54,0
13,1
-83,7
36,2
14,2
31,9
53,9
-4,8
65,9
-7,3
-13,5
-82,4
423,1
65,7
85,9
73,9
81,9
159,3
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
Employed
Unemployed
Not economically active
103
448
24
14
1
512
151
86
275
142
423
24
18
2
517
147
81
289
149
430
19
24
4
532
133
113
286
118
571
15
20
128
536
23
21
10
-35
8
0
24,9
87,4
-1,5
7,4
8,7
-6,1
51,0
2,3
24,1
19,5
-6
54,3
646
173
122
351
617
179
131
307
-29
6
9
-44
105,2
28,2
45,2
31,8
-4,5
3,5
7,4
-12,5
20,6
18,6
52,7
11,6
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Jan-Mar
2016
Year on
year
change
Percent
Apr-Jun
2016
North West
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
Employed
Unemployed
Not economically active
Jul-Sep
2015
18,1
29,7
6,9
16,7
66
STATISTICS SOUTH AFRICA
P0211
Table 8: Involvement in non-market activities and labour market status by province (concluded)
Limpopo
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
Employed
Unemployed
Not economically active
Jul-Sep
2016
Qrt to Qrt
change
Year on year
change
Qrt to Qrt
change
Thousand
Thousand
Thousand
Thousand
Thousand
Percent
Year on
year
change
Percent
195
1 024
2
26
4
1 113
186
1 032
35
1
1 116
181
1 029
1
40
7
1 129
150
1 123
2
37
5
1 212
-31
95
2
-3
-2
84
-36,7
87,3
-0,2
6,2
2,8
79,5
-17,2
9,2
253,3
-7,0
-23,1
7,4
-19,7
8,4
-6,4
20
104
7
298
99
715
315
97
705
300
128
701
324
140
749
24
12
48
20,1
34,1
25,3
8,0
9,1
6,8
6,6
32,3
3,5
Oct-Dec
2015
Thousand
Thousand
186
1 036
3
31
3
1 133
304
106
723
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.
Quarterly Labour Force Survey, Quarter 3, 2016
Apr-Jun
2016
Jul-Sep
2015
Jan-Mar
2016
67
STATISTICS SOUTH AFRICA
P0211
Appendix 2
Table 2A: Sampling variability for labour force characteristics by sex
Apr-Jun
Jul-Sep
2016 CV
2016 CV
Both Sexes
Population 15 - 64 yrs
Labour Force
Employed
Formal Sector (Non-agriculture)
Informal sector (Non-agriculture)
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-agriculture)
Informal sector (Non-agriculture)
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
Quarterly Labour Force Survey, Quarter 3, 2016
Estimate
Lower
95%
Upper
95%
P-value
0,5
0,6
0,9
2,3
5,4
2,7
1,7
0,7
3,4
0,8
0,5
0,6
0,9
2,1
5,4
2,6
1,5
0,7
3,5
0,7
527
288
112
135
56
-15
239
-368
-235
-133
343
111
-57
33
-16
-77
66
-553
-387
-327
711
465
280
236
128
47
413
-184
-83
61
0,00
0,00
0,19
0,01
0,13
0,64
0,01
0,00
0,00
0,18
1,5
0,6
0,5
1,3
0,6
0,5
0,5
0,6
1,2
-0,3
0,1
0,7
1,2
1,1
1,7
0,21
0,02
0,00
0,8
0,9
1,4
3,7
7,6
2,8
2,1
0,8
3,8
1,0
0,7
0,9
1,3
3,0
9,3
2,8
2,0
0,8
3,9
0,8
203
119
70
9
19
20
84
-129
-67
-61
72
-3
-50
-51
-14
-31
-19
-260
-169
-206
334
241
189
70
53
71
188
2
34
83
0,00
0,06
0,25
0,76
0,25
0,43
0,11
0,05
0,19
0,41
1,8
0,9
0,8
1,7
0,9
0,7
0,2
0,5
0,9
-0,7
-0,2
0,2
1,2
1,2
1,6
0,59
0,14
0,01
68
STATISTICS SOUTH AFRICA
P0211
Table 2A: Sampling variability for labour force characteristics by sex (concluded)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Men
Population 15 - 64 yrs
Labour Force
Employed
Formal Sector (Non-agriculture)
Informal sector (Non-agriculture)
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
Quarterly Labour Force Survey, Quarter 3, 2016
Lower
95%
Upper
95%
P-value
0,5
0,8
1,1
2,7
6,5
6,2
2,1
1,0
4,1
1,0
0,5
0,8
1,1
2,7
5,7
6,4
1,9
0,9
4,6
1,1
324
169
42
125
37
-35
155
-240
-168
-72
214
57
-76
43
-21
-70
36
-349
-254
-173
434
281
160
208
94
1
274
-130
-82
29
0,00
0,00
0,49
0,00
0,21
0,05
0,01
0,00
0,00
0,16
2,0
0,8
0,5
1,9
0,8
0,5
0,6
0,7
1,5
-0,3
0,1
0,9
1,5
1,3
2,1
0,18
0,03
0,00
69
STATISTICS SOUTH AFRICA
P0211
Table 2.1A: Sampling variability for labour force characteristics by population group
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 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
Lower 95%
Upper 95%
P-value
0,5
0,6
1,7
0,7
0,5
0,6
1,5
0,7
527
288
239
-368
343
111
66
-553
711
465
413
-184
0,00
0,00
0,01
0,00
1,5
0,6
0,5
1,3
0,6
0,5
0,5
0,6
1,2
-0,3
0,1
0,7
1,2
1,1
1,7
0,21
0,02
0,00
0,6
0,8
1,9
0,7
0,5
0,7
1,6
0,7
469
259
210
-314
303
110
47
-480
635
407
373
-148
0,00
0,00
0,01
0,00
1,6
0,8
0,6
1,4
0,7
0,5
0,4
0,7
1,3
-0,4
0,2
0,7
1,3
1,2
1,9
0,34
0,01
0,00
1,6
1,9
3,8
2,7
1,2
1,9
4,4
2,0
36
32
3
-25
-16
-18
-43
-77
87
83
49
26
0,18
0,21
0,90
0,33
3,4
1,9
1,6
4,4
1,9
1,2
-0,3
0,8
0,9
-2,2
-0,7
-0,7
1,7
2,3
2,4
0,81
0,28
0,26
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
Quarterly Labour Force Survey, Quarter 3, 2016
70
STATISTICS SOUTH AFRICA
P0211
Table 2.1A: Sampling variability for labour force characteristics by population group (concluded)
Apr-Jun
Jul-Sep
Estimate Lower 95%
2016 CV
2016 CV
Upper 95%
P-value
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
Quarterly Labour Force Survey, Quarter 3, 2016
3,4
2,5
18,1
4,7
3,0
2,5
17,9
4,7
30
17
13
-27
8
-5
-10
-49
51
39
36
-6
0,01
0,13
0,28
0,01
15,6
2,5
3,4
16,0
2,5
3,0
1,5
1,6
2,9
-2,2
-0,6
0,7
5,2
3,8
5,0
0,42
0,16
0,01
1,8
1,9
12,6
3,7
1,2
1,3
9,2
2,6
-7
-20
14
-1
-72
-86
-25
-67
59
45
52
64
0,84
0,54
0,48
0,97
12,2
1,9
1,8
8,9
1,3
1,2
0,7
-0,5
-0,1
-1,1
-2,7
-2,2
2,5
1,6
2,1
0,45
0,64
0,97
71
STATISTICS SOUTH AFRICA
Table 2.3A: Sampling variability for labour force characteristics by province
Apr-Jun
Jul-Sep
2016 CV
2016 CV
South Africa
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
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 (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
P0211
Estimate
Lower 95%
Upper 95%
P-value
0,5
0,6
1,7
0,7
3,4
0,8
0,5
0,6
1,5
0,7
3,5
0,7
527
288
239
-368
-235
-133
343
111
66
-553
-387
-327
711
465
413
-184
-83
61
0,00
0,00
0,01
0,00
0,00
0,18
1,5
0,6
0,5
1,3
0,6
0,5
0,5
0,6
1,2
-0,3
0,1
0,7
1,2
1,1
1,7
0,21
0,02
0,00
1,3
1,7
3,6
2,6
21,0
2,6
1,1
1,7
4,3
2,3
19,8
2,5
46
49
-3
-22
0
-22
-20
-16
-55
-87
-21
-88
111
114
49
44
20
44
0,17
0,14
0,90
0,51
0,97
0,52
3,5
1,7
1,3
4,3
1,7
1,1
-0,5
0,9
0,7
-2,1
-0,7
-0,8
1,2
2,3
2,2
0,58
0,27
0,37
72
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Western Cape - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Western Cape - City of Cape Town
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,5
1,7
6,1
2,6
24,3
1,7
2,2
2,7
7,1
4,3
24,2
4,9
43
48
-6
-33
-5
-28
-4
-1
-40
-80
-25
-75
89
98
29
13
14
20
0,07
0,06
0,75
0,16
0,59
0,25
5,4
1,7
1,5
6,7
2,7
2,2
-1,4
2,7
2,3
-4,6
-0,4
-0,6
1,9
5,9
5,2
0,40
0,09
0,12
1,8
2,4
4,5
3,9
28,7
4,0
1,4
2,3
5,2
2,9
28,8
3,0
3
1
2
11
5
6
-45
-44
-37
-36
0
-42
51
46
42
59
10
54
0,90
0,97
0,91
0,64
0,05
0,80
4,5
2,4
1,8
5,3
2,3
1,4
0,0
-0,3
-0,2
-1,8
-1,9
-2,0
1,9
1,4
1,5
0,93
0,77
0,78
73
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Eastern Cape
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Eastern Cape - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,7
2,2
3,7
1,4
7,1
2,1
1,8
1,8
4,9
1,7
8,0
2,0
117
93
24
-106
-90
-15
40
34
-36
-183
-151
-90
193
151
83
-29
-30
60
0,00
0,00
0,43
0,01
0,00
0,69
3,3
2,2
1,7
3,7
1,8
1,8
-0,4
2,1
2,7
-2,9
0,7
0,8
2,0
3,6
4,5
0,70
0,00
0,01
2,6
3,1
5,5
1,6
7,2
2,6
3,0
2,7
8,0
2,1
8,5
2,5
91
68
23
-84
-110
27
23
21
-26
-152
-169
-42
160
116
71
-15
-52
95
0,01
0,01
0,35
0,02
0,00
0,45
4,8
3,1
2,6
6,1
2,7
3,0
-0,1
2,3
3,1
-3,4
0,7
0,7
3,1
4,0
5,5
0,94
0,01
0,01
74
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Eastern Cape - Buffalo City
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Eastern Cape - Nelson Mandela Bay
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,1
3,6
10,6
3,9
36,1
4,4
2,5
2,9
9,0
4,8
28,2
4,2
5
10
-4
-4
15
-20
-15
-8
-37
-25
5
-36
26
27
28
16
26
-3
0,61
0,27
0,80
0,68
0,00
0,02
9,5
3,6
2,1
7,6
2,9
2,5
-1,7
1,9
0,9
-10,0
-1,6
-3,2
6,5
5,2
5,0
0,68
0,30
0,65
2,8
4,1
4,2
4,3
4,2
1,7
2,6
4,6
2,9
42,1
3,3
20
15
5
-18
4
-22
-9
-14
-7
-46
-5
-48
48
43
17
11
14
4
0,17
0,30
0,41
0,22
0,38
0,10
4,5
4,1
2,8
4,3
2,6
1,7
-0,2
1,8
2,3
-3,0
-1,8
-1,3
2,4
5,4
5,9
0,84
0,33
0,20
45,2
75
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Lower 95%
Upper 95%
P-value
Northern Cape
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Free State
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
4,1
4,5
6,9
4,7
15,1
4,9
4,2
5,1
7,2
5,4
11,8
5,5
20
5
15
-18
-13
-5
-12
-28
4
-51
-24
-36
53
39
27
15
-1
25
0,22
0,76
0,01
0,28
0,03
0,73
5,5
4,5
4,1
6,2
5,1
4,2
2,2
0,6
2,5
-1,0
-3,8
-1,8
5,4
4,9
6,7
0,18
0,80
0,25
2,2
3,4
6,2
3,6
10,6
3,8
2,0
3,7
5,2
3,4
13,0
4,3
10
-16
26
-7
4
-11
-40
-55
-17
-57
-15
-61
60
22
69
43
23
39
0,71
0,40
0,23
0,77
0,67
0,65
5,8
3,4
2,2
5,2
3,7
2,0
2,0
-1,0
0,4
-1,0
-3,0
-2,2
4,9
1,1
3,1
0,19
0,38
0,75
76
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Free State - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Free State - Mangaung
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,6
3,9
7,2
4,1
9,7
4,7
2,5
4,4
6,7
4,1
14,0
4,8
9
-9
18
-9
2
-10
-27
-45
-18
-44
-10
-48
45
27
54
27
14
28
0,62
0,61
0,32
0,64
0,76
0,59
6,4
3,9
2,6
6,3
4,4
2,5
1,8
-0,7
0,6
-2,0
-3,4
-2,0
5,7
2,0
3,3
0,35
0,60
0,63
4,0
7,1
11,9
7,9
26,5
5,5
3,3
6,6
6,6
6,5
27,2
10,0
1
-7
8
1
2
-1
-35
-22
-15
-34
-12
-34
36
8
31
36
16
32
0,97
0,36
0,51
0,95
0,77
0,96
12,3
7,1
4,0
8,5
6,6
3,3
2,1
-1,5
-0,1
-1,7
-4,4
-6,8
6,1
1,4
6,5
0,28
0,30
0,97
77
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
KwaZulu Natal
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
KwaZulu Natal - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,5
1,6
5,0
1,3
6,7
1,9
1,7
1,6
5,3
1,6
7,1
2,1
58
17
41
-32
65
-97
-34
-57
-20
-124
-8
-199
150
91
101
59
138
5
0,21
0,65
0,19
0,49
0,08
0,06
4,4
1,6
1,5
4,3
1,6
1,7
0,9
0,1
0,7
-0,7
-1,0
-0,7
2,4
1,2
2,0
0,29
0,84
0,33
2,3
2,8
6,5
1,6
7,9
2,2
2,4
2,5
6,7
1,7
8,3
2,6
29
2
27
-10
66
-76
-47
-59
-18
-86
4
-162
105
63
73
66
128
10
0,45
0,95
0,24
0,80
0,04
0,08
5,9
2,8
2,3
5,5
2,5
2,4
1,1
-0,1
0,5
-1,0
-1,5
-1,2
3,2
1,3
2,2
0,29
0,89
0,58
78
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
KwaZulu Natal - eThekwini
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
North West
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,8
1,2
8,1
2,6
10,6
4,0
2,4
1,7
8,7
3,6
10,2
3,9
29
15
13
-23
-1
-21
-22
-25
-26
-74
-40
-77
80
56
53
28
37
35
0,27
0,45
0,51
0,38
0,94
0,46
6,6
1,2
1,8
6,9
1,7
2,4
0,5
0,6
1,0
-1,9
-1,2
-1,1
3,0
2,2
3,2
0,66
0,54
0,33
3,6
2,7
11,8
3,7
11,8
3,7
2,4
3,2
7,4
2,6
11,2
3,7
35
-15
50
-24
-30
6
-27
-73
-8
-86
-74
-48
97
43
109
38
14
60
0,26
0,61
0,09
0,44
0,18
0,82
9,0
2,7
3,6
6,4
3,2
2,4
3,2
-0,8
1,2
-0,9
-3,1
-1,3
7,2
1,6
3,7
0,13
0,51
0,35
79
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Gauteng
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Gauteng - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
0,9
1,3
2,9
2,2
10,8
2,1
0,6
1,2
2,4
1,7
8,8
1,8
138
126
11
-83
-24
-59
44
20
-90
-177
-76
-151
231
233
113
10
27
33
0,00
0,02
0,82
0,08
0,35
0,21
2,7
1,3
0,9
2,4
1,2
0,6
-0,4
1,0
1,0
-1,7
-0,1
0,1
0,9
2,1
2,0
0,55
0,07
0,04
2,1
3,0
9,2
3,8
10,4
3,8
2,2
4,5
10,1
4,5
11,9
6,0
36
11
25
-32
-26
-6
11
-32
-7
-57
-51
-43
61
54
57
-7
-1
30
0,01
0,60
0,13
0,01
0,04
0,74
8,0
3,0
2,1
9,3
4,5
2,2
1,5
0,7
2,6
-2,3
-2,5
0,7
5,4
4,0
4,4
0,43
0,66
0,01
80
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Gauteng - Ekurhuleni
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Gauteng - City of Johannesburg
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,9
4,0
6,4
4,9
27,0
4,5
1,6
3,0
4,4
4,1
22,0
3,6
13
61
-48
-2
-6
5
-36
-15
-106
-51
-34
-51
62
137
9
47
21
60
0,60
0,11
0,10
0,94
0,64
0,87
6,3
4,0
1,9
4,6
3,0
1,6
-2,9
2,2
0,2
-6,3
-0,8
-1,8
0,4
5,3
2,2
0,08
0,15
0,84
1,5
1,5
3,7
4,9
29,8
4,8
1,0
1,6
3,2
3,1
16,6
3,3
12
14
-2
12
32
-20
-62
-42
-57
-62
13
-88
86
71
52
86
50
48
0,74
0,62
0,94
0,75
0,00
0,56
2,8
1,5
1,5
3,1
1,6
1,0
-0,2
0,1
-0,1
-1,8
-1,5
-2,2
1,4
1,6
1,9
0,80
0,97
0,87
81
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Gauteng - City of Tshwane
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Mpumalanga
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,6
2,7
7,1
3,6
19,8
3,4
1,3
2,5
5,4
3,4
12,9
4,0
76
39
37
-61
-24
-37
36
-4
-14
-102
-54
-69
117
82
88
-21
6
-6
0,00
0,07
0,15
0,00
0,12
0,02
6,8
2,7
1,6
5,4
2,5
1,3
1,1
1,3
2,7
-1,7
-0,5
1,1
3,8
3,1
4,5
0,46
0,15
0,00
1,9
3,3
5,6
2,7
9,1
3,7
1,7
3,1
4,7
2,6
10,7
2,6
42
3
39
-29
-47
18
-16
-53
-6
-87
-94
-49
100
60
84
29
0
86
0,16
0,91
0,09
0,33
0,05
0,60
5,6
3,3
1,9
4,9
3,1
1,7
1,6
-0,1
1,2
-0,9
-2,1
-0,8
4,0
1,9
3,3
0,20
0,94
0,25
82
STATISTICS SOUTH AFRICA
P0211
Table 2.3A: Sampling variability for labour force characteristics by province (concluded)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Limpopo
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,8
2,7
10,4
2,4
9,9
2,7
2,2
2,8
4,5
2,0
11,4
2,8
61
25
36
-46
-99
52
-1
-34
-23
-109
-180
-37
124
84
95
16
-17
142
0,05
0,40
0,23
0,14
0,02
0,25
8,7
2,7
2,8
4,6
2,8
2,2
1,3
0,5
1,5
-1,9
-1,1
-0,2
4,6
2,2
3,2
0,41
0,51
0,09
83
STATISTICS SOUTH AFRICA
Table 3.1A: Sampling variability for the employed by industry and sex
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
P0211
Lower
95%
Upper
95%
P-value
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,6
5,4
7,1
2,9
11,8
3,0
1,9
4,3
2,3
1,7
2,7
0,6
5,4
7,4
2,9
11,9
2,9
1,9
3,8
2,5
1,8
2,6
288
56
-9
-28
7
104
61
53
103
-45
-15
111
-16
-49
-112
-19
22
-58
-13
-17
-155
-77
465
128
30
56
33
186
181
119
222
66
47
0,00
0,13
0,64
0,51
0,60
0,01
0,31
0,11
0,09
0,43
0,64
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,9
7,6
14,0
4,5
18,2
8,4
2,4
8,0
3,0
2,0
2,8
0,9
9,3
14,8
4,1
19,9
8,0
2,4
8,4
3,0
2,1
2,8
119
19
-4
-18
7
22
43
22
48
-42
20
-3
-14
-22
-64
-4
-6
-28
-7
-13
-124
-31
241
53
13
28
18
50
114
50
110
41
71
0,06
0,25
0,62
0,44
0,19
0,12
0,23
0,14
0,12
0,32
0,43
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,8
6,5
7,0
3,5
13,8
3,2
2,6
4,4
2,9
2,8
6,2
0,8
5,7
7,4
3,5
13,2
2,9
2,5
4,1
3,5
2,8
6,4
169
37
-5
-10
0
81
18
32
54
-3
-35
57
-21
-39
-81
-24
1
-66
-24
-39
-75
-70
281
94
29
60
23
162
102
88
148
68
1
0,00
0,21
0,77
0,77
0,98
0,05
0,67
0,26
0,25
0,93
0,05
Quarterly Labour Force Survey, Quarter 3, 2016
84
STATISTICS SOUTH AFRICA
Table 3.4A: Sampling variability for the employed by province and sector
Apr-Jun
Jul-Sep
2016 CV
2016 CV
P0211
Estimate
Lower 95%
Upper 95%
P-value
South Africa
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
0,6
0,9
2,3
5,4
2,7
0,6
0,9
2,1
5,4
2,6
288
112
135
56
-15
111
-57
33
-16
-77
465
280
236
128
47
0,00
0,19
0,01
0,13
0,64
Western Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,7
2,5
7,1
10,5
8,8
1,7
2,2
5,1
8,0
8,2
49
29
14
10
-4
-16
-38
-14
-19
-34
114
96
41
40
26
0,14
0,39
0,33
0,50
0,80
Western Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,7
5,2
13,7
11,1
12,8
2,7
4,6
12,4
8,4
16,3
48
37
8
9
-5
-1
-11
-8
-20
-30
98
84
23
38
20
0,06
0,13
0,33
0,54
0,70
Western Cape - City of Cape Town
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,4
2,9
8,4
31,9
12,6
2,3
2,5
4,0
24,8
7,4
1
-7
6
1
1
-44
-57
-16
-6
-16
46
42
28
8
19
0,97
0,77
0,59
0,78
0,90
Eastern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,2
3,2
6,4
14,5
8,5
1,8
2,5
5,2
15,7
8,1
93
40
56
1
-4
34
-6
21
-26
-20
151
86
91
28
12
0,00
0,09
0,00
0,96
0,62
Eastern Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,1
5,6
7,4
15,8
12,2
2,7
4,4
6,2
16,9
11,2
68
27
34
4
3
21
-13
6
-21
-10
116
67
63
29
16
0,01
0,18
0,02
0,74
0,66
Quarterly Labour Force Survey, Quarter 3, 2016
85
STATISTICS SOUTH AFRICA
Table 3.4A: Sampling variability for the employed by province and sector (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
P0211
Lower 95%
Upper 95%
P-value
Eastern Cape - Buffalo City
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,6
4,0
18,4
56,9
7,6
2,9
1,9
13,9
61,1
6,6
10
-4
15
-3
1
-8
-17
3
-7
-3
27
10
27
2
4
0,27
0,61
0,01
0,20
0,79
Eastern Cape - Nelson Mandela Bay
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
4,1
3,7
17,0
36,1
17,3
2,6
3,3
13,0
50,0
18,9
15
17
7
-1
-7
-14
-1
-10
-9
-16
43
35
23
8
1
0,30
0,07
0,45
0,85
0,07
Northern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
4,5
6,7
17,7
14,9
15,3
5,1
6,6
22,6
31,3
13,8
5
1
-1
13
-8
-28
-31
-14
-12
-18
39
34
12
39
2
0,76
0,93
0,87
0,30
0,10
Free State
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,4
5,1
11,3
19,7
11,2
3,7
5,8
11,7
9,7
12,8
-16
-28
22
-6
-4
-55
-55
-3
-28
-14
22
-2
47
15
6
0,40
0,03
0,09
0,57
0,47
Free State - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,9
5,5
12,7
19,9
14,5
4,4
6,7
16,9
9,7
18,0
-9
-7
11
-6
-7
-45
-32
-5
-28
-15
27
18
27
15
1
0,61
0,60
0,18
0,55
0,09
Free State - Mangaung
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
7,1
10,4
23,1
97,3
12,7
6,6
11,0
11,3
104,7
10,5
-7
-22
11
0
3
-22
-29
-8
0
-2
8
-15
30
1
9
0,36
0,00
0,27
0,45
0,24
Quarterly Labour Force Survey, Quarter 3, 2016
86
STATISTICS SOUTH AFRICA
Table 3.4A: Sampling variability for the employed by province and sector (continued)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
P0211
Lower 95%
Upper 95%
P-value
KwaZulu Natal
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,6
2,4
6,3
9,0
5,6
1,6
2,2
6,6
10,5
6,2
17
-10
5
19
4
-57
-71
-45
3
-19
91
51
54
34
28
0,65
0,74
0,85
0,02
0,72
KwaZulu Natal - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,8
4,1
8,4
9,2
8,0
2,5
3,8
6,2
10,8
8,7
2
-4
-6
18
-6
-59
-57
-43
3
-22
63
48
32
33
10
0,95
0,87
0,75
0,02
0,48
KwaZulu Natal - eThekwini
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,2
2,3
8,6
37,1
7,7
1,7
2,2
14,9
40,8
8,9
15
-6
11
1
10
-25
-37
-22
-4
-7
56
25
43
5
27
0,45
0,71
0,52
0,78
0,25
North West
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,7
3,3
6,9
20,0
11,1
3,2
4,5
8,6
19,0
10,1
-15
-35
5
12
3
-73
-95
-16
3
-8
43
26
27
20
14
0,61
0,26
0,63
0,01
0,62
Gauteng
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,3
1,6
4,5
31,1
4,7
1,2
1,6
3,7
18,3
4,4
126
97
18
3
8
20
-11
-30
-13
-29
233
206
67
18
45
0,02
0,08
0,46
0,74
0,67
Gauteng - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,0
4,8
17,4
64,1
19,0
4,5
6,0
15,7
37,3
15,7
11
14
2
-1
-3
-32
-34
-17
-13
-22
54
61
21
10
16
0,60
0,58
0,85
0,84
0,78
Quarterly Labour Force Survey, Quarter 3, 2016
87
STATISTICS SOUTH AFRICA
Table 3.4A: Sampling variability for the employed by province and sector (concluded)
Apr-Jun
Jul-Sep
Estimate
2016 CV
2016 CV
Gauteng - Ekurhuleni
P0211
Lower 95%
Upper 95%
P-value
4,0
3,0
61
-15
137
0,11
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
5,0
8,2
43,8
6,9
3,7
7,2
31,9
12,9
62
-9
4
4
-13
-35
-2
-19
137
17
10
27
0,11
0,51
0,20
0,72
Gauteng - City of Johannesburg
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,5
2,4
5,8
58,6
8,1
1,6
2,6
3,6
33,5
6,9
14
-15
33
2
-6
-42
-68
8
-5
-21
71
38
57
10
10
0,62
0,58
0,01
0,52
0,48
Gauteng - City of Tswhane
2,7
2,5
39
-4
82
0,07
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,6
10,8
28,1
7,4
3,0
9,7
19,1
5,3
37
-7
-2
12
-12
-33
-7
-4
85
18
2
29
0,14
0,57
0,30
0,15
Mpumalanga
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,3
4,8
8,3
22,9
8,1
3,1
4,5
7,7
11,4
9,5
3
13
9
-6
-13
-53
-21
-30
-38
-29
60
47
49
26
2
0,91
0,44
0,65
0,71
0,09
2,7
2,8
25
-34
84
0,40
4,8
4,5
14,4
10,1
4,1
5,4
23,9
8,3
4
7
11
3
-42
-25
-20
-15
50
39
43
22
0,87
0,67
0,49
0,72
Limpopo
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Quarterly Labour Force Survey, Quarter 3, 2016
88
STATISTICS SOUTH AFRICA
Table 3.5A: Sampling variability for the employed by sex and occupation
Apr-Jun
Jul-Sep
2016 CV
2016 CV
P0211
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
0,6
3,3
4,0
3,0
2,7
2,3
12,6
2,3
3,1
1,8
2,9
0,6
2,8
4,1
3,0
2,7
2,5
15,4
2,6
2,8
1,7
2,8
288
37
-23
-30
30
36
6
56
94
66
13
111
-43
-85
-118
-57
-78
-13
-38
26
-50
-37
465
118
39
58
117
151
25
151
163
183
63
0,00
0,36
0,47
0,50
0,49
0,53
0,53
0,24
0,01
0,26
0,61
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,9
5,8
5,4
3,6
3,1
3,0
26,9
6,9
8,5
2,6
2,9
0,9
5,3
5,2
3,9
2,9
2,8
30,1
6,7
7,4
2,6
2,8
119
20
-9
16
5
-2
1
3
19
49
16
-3
-29
-51
-39
-63
-67
-8
-26
-5
-18
-34
241
69
33
72
74
63
9
33
43
116
67
0,06
0,42
0,67
0,56
0,88
0,95
0,84
0,84
0,12
0,15
0,53
Men
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,8
3,6
5,0
4,4
4,8
2,9
14,0
2,5
3,3
2,4
16,2
0,8
3,1
5,0
4,0
4,6
3,5
15,1
2,7
3,1
2,3
14,0
169
18
-14
-46
25
38
5
53
76
17
-3
57
-44
-56
-110
-22
-46
-11
-35
12
-83
-21
281
79
29
17
71
123
21
142
140
118
14
0,00
0,58
0,53
0,15
0,29
0,37
0,54
0,24
0,02
0,73
0,70
Quarterly Labour Force Survey, Quarter 3, 2016
89
STATISTICS SOUTH AFRICA
Table 2B: Sampling variability for labour force characteristics by sex
Jul-Sep
Jul-Sep
2015 CV
2016 CV
Both Sexes
Population 15 - 64 yrs
Labour Force
Employed
Formal Sector (Non-agriculture)
Informal sector (Non-agriculture)
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-agriculture)
Informal sector (Non-agriculture)
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
Quarterly Labour Force Survey, Quarter 3, 2016
P0211
Estimate
Lower
95%
Upper
95%
P-value
0,4
0,6
0,8
2,1
3,7
2,6
1,5
0,6
3,4
0,7
0,5
0,6
0,9
2,1
5,4
2,6
1,5
0,7
3,5
0,7
460
5
99
-80
-16
1
455
176
64
112
216
-218
-135
-224
-110
-92
250
-67
-116
-104
703
228
333
65
78
94
660
420
244
328
0,00
0,97
0,41
0,28
0,74
0,98
0,00
0,15
0,48
0,31
1,3
0,6
0,4
1,3
0,6
0,5
1,6
-0,7
0,3
0,7
-1,4
-0,4
2,4
-0,1
0,9
0,00
0,02
0,49
0,6
0,9
1,3
2,8
6,1
2,5
1,8
0,7
3,7
0,8
0,7
0,9
1,3
3,0
9,3
2,8
2,0
0,8
3,9
0,8
135
-39
90
-66
-53
-10
175
160
66
94
-30
-201
-67
-141
-102
-80
41
-6
-47
-60
301
122
246
10
-5
60
308
325
178
249
0,11
0,63
0,26
0,09
0,03
0,78
0,01
0,06
0,25
0,23
1,6
0,9
0,6
1,7
0,9
0,7
1,4
-0,9
-0,1
0,2
-1,7
-1,0
2,7
0,1
0,8
0,03
0,07
0,82
90
STATISTICS SOUTH AFRICA
Table 2B: Sampling variability for labour force characteristics by sex (concluded)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Men
Population 15 - 64 yrs
Labour Force
Employed
Formal Sector (Non-agriculture)
Informal sector (Non-agriculture)
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
Quarterly Labour Force Survey, Quarter 3, 2016
P0211
Lower
95%
Upper
95%
P-value
0,5
0,7
0,9
2,6
4,6
6,7
1,8
1,0
4,0
1,1
0,5
0,8
1,1
2,7
5,7
6,4
1,9
0,9
4,6
1,1
324
44
9
-14
38
11
280
17
-1
18
166
-128
-165
-134
-33
-39
144
-142
-110
-118
483
216
184
106
109
61
416
175
107
154
0,00
0,61
0,92
0,82
0,30
0,66
0,00
0,84
0,98
0,80
1,7
0,7
0,5
1,9
0,8
0,5
1,7
-0,7
0,5
0,6
-1,7
-0,3
2,8
0,3
1,4
0,00
0,15
0,21
91
STATISTICS SOUTH AFRICA
P0211
Table 2.1B: Sampling variability for labour force characteristics by population group
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 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
Lower 95%
Upper 95%
P-value
0,4
0,6
1,5
0,6
0,5
0,6
1,5
0,7
460
5
455
176
216
-218
250
-67
703
228
660
420
0,00
0,97
0,00
0,15
1,3
0,6
0,4
1,3
0,6
0,5
1,6
-0,7
0,3
0,7
-1,4
-0,4
2,4
-0,1
0,9
0,00
0,02
0,49
0,5
0,7
1,6
0,7
0,5
0,7
1,6
0,7
479
61
418
137
246
-142
227
-96
711
263
609
369
0,00
0,56
0,00
0,25
1,4
0,7
0,5
1,4
0,7
0,5
1,7
-0,6
0,5
0,7
-1,3
-0,4
2,6
0,1
1,2
0,00
0,07
0,29
1,2
1,7
4,3
2,1
1,2
1,9
4,4
2,0
8
3
4
33
-54
-60
-45
-28
69
67
53
94
0,81
0,91
0,87
0,29
4,0
1,7
1,2
4,4
1,9
1,2
0,1
-0,5
-0,5
-2,0
-2,4
-2,4
2,3
1,4
1,3
0,92
0,61
0,56
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
Quarterly Labour Force Survey, Quarter 3, 2016
92
STATISTICS SOUTH AFRICA
P0211
Table 2.1B: Sampling variability for labour force characteristics by population group (concluded)
Jul-Sep
Jul-Sep
Estimate Lower 95%
2015 CV
2016 CV
Upper 95%
P-value
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
Quarterly Labour Force Survey, Quarter 3, 2016
2,3
2,5
12,6
3,3
3,0
2,5
17,9
4,7
25
18
7
-14
-15
-16
-15
-54
65
52
29
26
0,22
0,31
0,52
0,49
11,8
2,5
2,3
16,0
2,5
3,0
0,7
1,2
1,9
-2,6
-2,3
-2,2
4,0
4,7
6,0
0,69
0,49
0,37
1,3
1,4
10,7
2,8
1,2
1,3
9,2
2,6
-52
-77
26
21
-122
-142
-3
-49
18
-13
54
91
0,15
0,02
0,08
0,55
10,6
1,4
1,3
8,9
1,3
1,2
1,4
-1,9
-1,0
0,1
-4,0
-3,3
2,7
0,2
1,3
0,04
0,08
0,38
93
STATISTICS SOUTH AFRICA
Table 2.3B: Sampling variability for labour force characteristics by province
Jul-Sep
Jul-Sep
2015 CV
2016 CV
South Africa
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
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 (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
P0211
Estimate
Lower 95%
Upper 95%
P-value
0,4
0,6
1,5
0,6
3,4
0,7
0,5
0,6
1,5
0,7
3,5
0,7
460
5
455
176
64
112
216
-218
250
-67
-116
-104
703
228
660
420
244
328
0,00
0,97
0,00
0,15
0,48
0,31
1,3
0,6
0,4
1,3
0,6
0,5
1,6
-0,7
0,3
0,7
-1,4
-0,4
2,4
-0,1
0,9
0,00
0,02
0,49
1,0
1,6
4,6
2,1
15,9
1,9
1,1
1,7
4,3
2,3
19,8
2,5
38
-2
40
58
-1
59
-24
-91
-31
-4
-18
-5
100
87
111
120
15
122
0,23
0,96
0,27
0,07
0,90
0,07
4,6
1,6
1,0
4,3
1,7
1,1
1,1
-1,2
-0,6
-1,3
-3,3
-2,1
3,5
0,8
0,8
0,38
0,24
0,39
94
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Western Cape - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Western Cape - City of Cape Town
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates(%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,3
2,4
9,8
4,6
21,0
3,8
2,2
2,7
7,1
4,3
24,2
4,9
12
0
11
27
2
25
-36
-66
-28
-21
-12
-29
60
67
51
75
17
78
0,63
0,99
0,57
0,27
0,74
0,36
8,8
2,4
2,3
6,7
2,7
2,2
0,8
-1,3
-0,9
-3,2
-5,6
-4,0
4,9
2,9
2,2
0,67
0,54
0,56
1,0
2,2
5,0
2,2
23,9
2,3
1,4
2,3
5,2
2,9
28,8
3,0
26
-3
29
31
-3
34
-21
-65
-30
-16
-12
-9
73
60
87
77
5
77
0,27
0,94
0,34
0,20
0,41
0,12
5,4
2,2
1,0
5,3
2,3
1,4
1,1
-1,2
-0,4
-1,7
-3,4
-2,1
4,1
1,1
1,2
0,42
0,30
0,59
95
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Eastern Cape
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Eastern Cape - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,6
2,0
4,0
1,4
7,8
1,8
1,8
1,8
4,9
1,7
8,0
2,0
71
71
0
-32
-41
9
-22
7
-72
-125
-123
-71
163
135
72
60
41
89
0,13
0,03
1,00
0,49
0,32
0,83
3,4
2,0
1,6
3,7
1,8
1,8
-1,0
1,4
1,3
-3,9
-0,2
-1,0
1,8
2,9
3,5
0,48
0,08
0,26
2,4
2,6
7,4
1,5
7,9
2,1
3,0
2,7
8,0
2,1
8,5
2,5
98
82
16
-70
-69
-1
11
27
-52
-157
-149
-74
185
137
84
17
12
71
0,03
0,00
0,65
0,12
0,10
0,98
6,1
2,6
2,4
6,1
2,7
3,0
-0,9
2,6
3,1
-5,6
0,7
0,0
3,7
4,5
6,1
0,68
0,01
0,05
96
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Eastern Cape - Buffalo City
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Eastern Cape - Nelson Mandela Bay
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
3,1
3,8
2,6
6,6
36,5
6,8
2,5
2,9
9,0
4,8
28,2
4,2
-7
-11
4
10
17
-7
-26
-26
-15
-8
6
-24
11
3
22
29
29
10
0,43
0,13
0,69
0,27
0,00
0,41
2,8
3,8
3,1
7,6
2,9
2,5
1,7
-2,5
-1,9
-2,9
-5,4
-5,6
6,3
0,4
1,8
0,46
0,09
0,32
2,8
4,7
2,8
5,5
5,5
1,7
2,6
4,6
2,9
42,1
3,3
-19
0
-19
27
10
17
-44
-30
-34
2
2
-11
5
30
-5
51
18
45
0,12
1,00
0,01
0,03
0,02
0,24
4,1
4,7
2,8
4,3
2,6
1,7
-2,5
-0,4
-3,1
-6,1
-4,3
-6,2
1,0
3,4
0,1
0,15
0,83
0,06
.
97
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Northern Cape
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Free State
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,3
3,7
5,5
3,5
7,8
3,9
4,2
5,1
7,2
5,4
11,8
5,5
-26
6
-32
36
10
26
-70
-29
-67
-8
-2
-14
17
40
3
79
22
65
0,23
0,75
0,07
0,11
0,11
0,20
5,1
3,7
2,3
6,2
5,1
4,2
-5,2
0,2
-4,1
-11,5
-4,2
-9,7
1,0
4,7
1,5
0,10
0,92
0,15
1,8
2,9
5,8
2,9
11,9
3,2
2,0
3,7
5,2
3,4
13,0
4,3
25
-14
39
-12
15
-28
-30
-79
-30
-67
-13
-78
80
50
109
42
44
23
0,37
0,66
0,27
0,66
0,29
0,28
5,3
2,9
1,8
5,2
3,7
2,0
2,7
-1,1
0,9
-2,8
-4,5
-2,0
8,0
2,4
3,8
0,34
0,55
0,54
98
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Free State - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Free State - Mangaung
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,4
4,0
7,8
3,8
15,3
4,2
2,5
4,4
6,7
4,1
14,0
4,8
13
-14
27
-8
4
-13
-39
-74
-41
-60
-18
-55
64
45
95
43
27
30
0,63
0,64
0,43
0,76
0,70
0,56
7,1
4,0
2,4
6,3
4,4
2,5
2,7
-1,2
0,7
-4,6
-5,6
-3,1
10,1
3,2
4,5
0,46
0,59
0,71
1,8
2,7
2,7
3,4
9,5
3,3
3,3
6,6
6,6
6,5
27,2
10,0
12
0
12
-4
11
-15
-7
-26
-3
-24
-6
-43
32
26
27
15
28
12
0,22
0,99
0,12
0,66
0,21
0,28
3,1
2,7
1,8
8,5
6,6
3,3
2,4
-0,6
1,3
-2,4
-5,5
-2,3
7,3
4,2
5,0
0,32
0,79
0,47
99
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
KwaZulu Natal
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
KwaZulu Natal - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,8
1,6
6,0
1,7
7,9
2,2
1,7
1,6
5,3
1,6
7,1
2,1
25
-77
102
75
137
-62
-130
-192
6
-80
27
-196
180
38
199
230
248
72
0,75
0,19
0,04
0,34
0,02
0,36
4,9
1,6
1,8
4,3
1,6
1,7
3,0
-1,7
-0,3
0,6
-3,4
-2,6
5,4
0,0
2,0
0,02
0,05
0,77
2,7
2,2
7,6
2,1
9,1
3,0
2,4
2,5
6,7
1,7
8,3
2,6
-72
-95
23
149
141
8
-202
-186
-63
19
45
-112
57
-5
109
279
236
128
0,27
0,04
0,60
0,03
0,00
0,90
5,8
2,2
2,7
5,5
2,5
2,4
2,2
-2,8
-2,4
-1,4
-4,8
-5,3
5,8
-0,7
0,6
0,23
0,01
0,11
100
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
KwaZulu Natal - eThekwini
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
North West
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
2,0
2,1
9,6
2,6
15,4
2,5
2,4
1,7
8,7
3,6
10,2
3,9
98
18
79
-74
-4
-70
14
-52
36
-157
-59
-128
181
89
123
9
52
-13
0,02
0,61
0,00
0,08
0,90
0,02
8,7
2,1
2,0
6,9
1,7
2,4
4,5
0,3
3,5
1,8
-2,7
0,0
7,1
3,3
7,1
0,00
0,85
0,05
3,1
3,2
8,9
3,2
9,1
2,9
2,4
3,2
7,4
2,6
11,2
3,7
59
-22
81
-13
-14
0
-26
-90
21
-99
-63
-90
144
47
141
72
35
91
0,17
0,53
0,01
0,76
0,58
1,00
7,2
3,2
3,1
6,4
3,2
2,4
5,1
-1,6
1,4
1,1
-4,4
-2,0
9,0
1,2
4,9
0,01
0,27
0,41
101
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Gauteng
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Gauteng - Non Metro
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
0,6
1,0
2,0
1,7
10,3
1,7
0,6
1,2
2,4
1,7
8,8
1,8
123
57
66
99
68
31
22
-63
-35
-1
11
-68
223
177
166
199
125
130
0,02
0,35
0,20
0,05
0,02
0,54
1,8
1,0
0,6
2,4
1,2
0,6
0,5
-0,6
-0,4
-0,9
-1,8
-1,4
1,8
0,6
0,6
0,54
0,34
0,44
2,4
2,3
5,8
4,5
20,0
4,6
2,2
4,5
10,1
4,5
11,9
6,0
34
-4
38
-17
-13
-4
-18
-60
-18
-69
-45
-59
87
52
94
35
19
51
0,20
0,90
0,18
0,52
0,43
0,88
4,3
2,3
2,4
9,3
4,5
2,2
3,1
-0,9
1,8
-2,6
-5,1
-2,3
8,9
3,4
5,7
0,28
0,69
0,39
102
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Gauteng - Ekurhuleni
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Gauteng - City of Johannesburg
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,3
2,0
4,4
3,9
24,1
3,3
1,6
3,0
4,4
4,1
22,0
3,6
-41
-53
11
89
35
54
-81
-118
-44
49
5
12
-2
12
67
128
64
96
0,04
0,11
0,68
0,00
0,02
0,01
4,0
2,0
1,3
4,6
3,0
1,6
1,4
-3,2
-3,1
-1,7
-5,8
-4,7
4,4
-0,5
-1,5
0,39
0,02
0,00
1,0
1,7
2,5
3,2
30,9
3,2
1,0
1,6
3,2
3,1
16,6
3,3
51
80
-28
45
60
-15
-23
2
-86
-29
33
-86
126
158
29
120
88
56
0,17
0,05
0,34
0,23
0,00
0,68
2,6
1,7
1,0
3,1
1,6
1,0
-1,5
0,8
-0,6
-3,6
-1,5
-2,7
0,4
3,0
1,4
0,12
0,50
0,54
103
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Gauteng - City of Tshwane
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Mpumalanga
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,1
1,8
4,9
2,7
13,2
3,2
1,3
2,5
5,4
3,4
12,9
4,0
78
34
44
-18
-14
-4
46
-4
10
-51
-36
-37
111
72
78
15
9
29
0,00
0,08
0,01
0,28
0,22
0,81
4,6
1,8
1,1
5,4
2,5
1,3
1,5
0,1
1,5
-0,4
-1,5
0,1
3,3
1,7
2,9
0,13
0,91
0,03
1,5
2,8
6,1
2,0
7,4
2,9
1,7
3,1
4,7
2,6
10,7
2,6
83
-10
93
-30
-34
4
27
-84
42
-86
-75
-56
139
64
143
26
7
64
0,00
0,79
0,00
0,29
0,10
0,90
6,1
2,8
1,5
4,9
3,1
1,7
4,2
-1,2
1,8
1,0
-3,8
-0,1
7,4
1,5
3,9
0,01
0,39
0,07
104
STATISTICS SOUTH AFRICA
P0211
Table 2.3B: Sampling variability for labour force characteristics by province (concluded)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Limpopo
Population 15 - 64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (Absorption)
Labour force participation rate
Quarterly Labour Force Survey, Quarter 3, 2016
Lower 95%
Upper 95%
P-value
1,8
1,6
6,7
1,6
8,6
2,0
2,2
2,8
4,5
2,0
11,4
2,8
63
-3
67
-3
-76
73
-26
-84
25
-92
-150
-24
153
77
108
86
-2
171
0,16
0,93
0,00
0,95
0,04
0,14
5,6
1,6
1,8
4,6
2,8
2,2
3,1
-0,8
1,0
0,9
-3,0
-1,5
5,4
1,5
3,4
0,01
0,52
0,44
105
STATISTICS SOUTH AFRICA
Table 3.1B: Sampling variability for the employed by industry and sex
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
P0211
Lower
95%
Upper
95%
P-value
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,6
3,7
4,9
2,5
10,3
3,2
1,8
3,7
2,3
1,6
2,6
0,6
5,4
7,4
2,9
11,9
2,9
1,9
3,8
2,5
1,8
2,6
5
-16
-8
-91
-9
31
-2
17
163
-83
1
-218
-110
-78
-210
-38
-91
-152
-74
12
-238
-92
228
78
61
28
20
154
147
108
314
72
94
0,97
0,74
0,82
0,13
0,55
0,61
0,98
0,71
0,03
0,29
0,98
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,9
6,1
12,2
3,8
19,0
8,8
2,4
8,0
3,8
1,9
2,5
0,9
9,3
14,8
4,1
19,9
8,0
2,4
8,4
3,0
2,1
2,8
-39
-53
-5
-35
10
11
30
-7
68
-48
-10
-201
-102
-22
-101
-6
-24
-65
-49
-24
-168
-80
122
-5
12
30
26
46
124
35
161
71
60
0,63
0,03
0,54
0,29
0,22
0,54
0,54
0,75
0,15
0,42
0,78
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private household
0,7
4,6
5,4
2,9
11,9
3,4
2,3
3,9
2,7
2,7
6,7
0,8
5,7
7,4
3,5
13,2
2,9
2,5
4,1
3,5
2,8
6,4
44
38
-3
-56
-19
20
-32
24
95
-34
11
-128
-33
-67
-153
-44
-95
-137
-52
-15
-128
-39
216
109
61
41
6
136
74
100
204
59
61
0,61
0,30
0,93
0,26
0,14
0,73
0,55
0,54
0,09
0,47
0,66
Quarterly Labour Force Survey, Quarter 3, 2016
106
STATISTICS SOUTH AFRICA
Table 3.4B: Sampling variability for the employed by province and sector
Jul-Sep
Jul-Sep
2015 CV
2016 CV
P0211
Estimate
Lower 95%
Upper 95%
P-value
South Africa
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
0,6
0,8
2,1
3,7
2,6
0,6
0,9
2,1
5,4
2,6
5
99
-80
-16
1
-218
-135
-224
-110
-92
228
333
65
78
94
0,97
0,41
0,28
0,74
0,98
Western Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,6
2,3
7,5
5,9
8,3
1,7
2,2
5,1
8,0
8,2
-2
70
-27
-49
4
-91
-18
-76
-80
-37
87
158
23
-18
45
0,96
0,12
0,29
0,00
0,86
Western Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,4
4,2
12,4
5,7
17,6
2,7
4,6
12,4
8,4
16,3
0
39
-8
-38
8
-66
-21
-44
-66
-27
67
98
29
-11
43
0,99
0,20
0,68
0,01
0,66
Western Cape - City of Cape Town
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,2
2,8
9,2
30,4
8,3
2,3
2,5
4,0
24,8
7,4
-3
31
-19
-10
-4
-65
-33
-52
-24
-26
60
95
14
3
17
0,94
0,34
0,25
0,14
0,70
Eastern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,0
3,0
6,7
14,1
8,1
1,8
2,5
5,2
15,7
8,1
71
22
39
12
-2
7
-39
-3
-20
-27
135
84
80
43
24
0,03
0,48
0,07
0,47
0,89
Eastern Cape - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,6
4,5
7,9
15,2
11,0
2,7
4,4
6,2
16,9
11,2
82
32
40
10
0
27
-21
10
-21
-19
137
86
70
41
19
0,00
0,24
0,01
0,52
0,99
Quarterly Labour Force Survey, Quarter 3, 2016
107
STATISTICS SOUTH AFRICA
Table 3.4B: Sampling variability for the employed by province and sector (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
P0211
Lower 95%
Upper 95%
P-value
Eastern Cape - Buffalo City
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,8
6,1
23,3
37,5
32,4
2,9
1,9
13,9
61,1
6,6
-11
-9
-3
-1
2
-26
-31
-27
-6
-10
3
13
21
3
14
0,13
0,41
0,81
0,63
0,74
Eastern Cape - Nelson Mandela Bay
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
4,7
5,2
12,2
78,3
5,0
2,6
3,3
13,0
50,0
18,9
0
-1
2
3
-4
-30
-22
-14
-4
-15
30
20
18
10
7
1,00
0,94
0,81
0,44
0,48
Northern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,7
6,3
9,8
16,5
10,3
5,1
6,6
22,6
31,3
13,8
6
-15
-1
21
0
-29
-48
-16
-5
-9
40
18
14
48
10
0,75
0,37
0,86
0,11
0,92
Free State
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,9
4,7
8,1
14,4
7,6
3,7
5,8
11,7
9,7
12,8
-14
-18
6
-5
4
-79
-75
-26
-23
-26
50
38
38
12
33
0,66
0,52
0,71
0,56
0,82
Free State - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
4,0
6,8
9,8
14,6
8,3
4,4
6,7
16,9
9,7
18,0
-14
-14
4
-5
0
-74
-64
-24
-23
-29
45
36
32
13
30
0,64
0,59
0,78
0,58
0,98
Free State - Mangaung
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,7
3,9
14,3
71,1
16,6
6,6
11,0
11,3
104,7
10,5
0
-5
2
0
3
-26
-32
-12
-2
-1
26
22
16
1
7
0,99
0,73
0,79
0,73
0,09
Quarterly Labour Force Survey, Quarter 3, 2016
108
STATISTICS SOUTH AFRICA
Table 3.4B: Sampling variability for the employed by province and sector (continued)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
P0211
Lower 95%
Upper 95%
P-value
KwaZulu Natal
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,6
2,3
4,0
8,5
5,7
1,6
2,2
6,6
10,5
6,2
-77
-39
-71
7
26
-192
-143
-132
-31
-11
38
65
-9
44
63
0,19
0,46
0,03
0,73
0,17
KwaZulu Natal - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,2
3,0
5,5
8,3
9,4
2,5
3,8
6,2
10,8
8,7
-95
-78
-46
10
19
-186
-159
-90
-27
-3
-5
3
-1
46
41
0,04
0,06
0,05
0,61
0,10
KwaZulu Natal - eThekwini
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,1
3,4
5,7
57,6
6,7
1,7
2,2
14,9
40,8
8,9
18
39
-25
-3
7
-52
-26
-68
-11
-22
89
104
18
5
37
0,61
0,24
0,26
0,49
0,63
North West
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,2
4,4
10,2
24,4
11,9
3,2
4,5
8,6
19,0
10,1
-22
-13
0
-7
-2
-90
-91
-37
-31
-29
47
65
36
17
26
0,53
0,74
0,99
0,57
0,90
Gauteng
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,0
1,2
3,8
18,4
5,4
1,2
1,6
3,7
18,3
4,4
57
65
-6
13
-15
-63
-88
-79
-3
-64
177
217
67
30
34
0,35
0,41
0,87
0,11
0,55
Gauteng - Non Metro
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,3
3,8
11,4
29,9
18,3
4,5
6,0
15,7
37,3
15,7
-4
-3
3
5
-9
-60
-67
-31
-5
-24
52
60
38
15
6
0,90
0,92
0,84
0,34
0,25
Quarterly Labour Force Survey, Quarter 3, 2016
109
STATISTICS SOUTH AFRICA
Table 3.4B: Sampling variability for the employed by province and sector (concluded)
Jul-Sep
Jul-Sep
Estimate
2015 CV
2016 CV
Gauteng - Ekurhuleni
P0211
Lower 95%
Upper 95%
P-value
2,0
3,0
-53
-118
12
0,11
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,8
8,3
31,4
5,8
3,7
7,2
31,9
12,9
-39
-10
3
-8
-114
-36
-7
-34
37
16
13
19
0,32
0,44
0,51
0,58
Gauteng - City of Johannesburg
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,7
1,9
5,9
72,6
8,5
1,6
2,6
3,6
33,5
6,9
80
101
-14
5
-12
2
-5
-62
0
-44
158
206
34
10
19
0,05
0,06
0,57
0,03
0,44
Gauteng - City of Tswhane
1,8
2,5
34
-4
72
0,08
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,5
5,9
40,1
14,4
3,0
9,7
19,1
5,3
6
14
0
14
-58
-18
-7
-8
69
47
7
37
0,86
0,38
0,96
0,22
Mpumalanga
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,8
3,6
6,3
10,5
6,9
3,1
4,5
7,7
11,4
9,5
-10
2
-5
3
-10
-84
-50
-51
-18
-29
64
54
40
25
10
0,79
0,95
0,82
0,77
0,34
1,6
2,8
-3
-84
77
0,93
3,0
7,0
8,8
10,5
4,1
5,4
23,9
8,3
26
-14
-11
-5
-50
-70
-69
-31
101
43
47
22
0,50
0,64
0,72
0,73
Limpopo
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Quarterly Labour Force Survey, Quarter 3, 2016
110
STATISTICS SOUTH AFRICA
Table 3.5B: Sampling variability for the employed by sex and occupation
Jul-Sep
Jul-Sep
2015 CV
2016 CV
P0211
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
0,6
3,1
4,0
2,5
2,5
2,1
13,4
2,4
2,7
1,7
2,5
0,6
2,8
4,1
3,0
2,7
2,5
15,4
2,6
2,8
1,7
2,8
5
68
34
-6
-19
68
-27
-55
37
-97
1
-218
-38
-60
-115
-134
-96
-61
-194
-53
-251
-73
228
174
128
103
96
232
7
84
127
58
74
0,97
0,21
0,48
0,91
0,75
0,42
0,12
0,44
0,42
0,22
0,98
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,9
4,7
5,5
3,1
2,5
2,8
18,0
6,2
7,8
2,4
2,5
0,9
5,3
5,2
3,9
2,9
2,8
30,1
6,7
7,4
2,6
2,8
-39
26
44
-28
-60
39
-15
0
-11
-18
-16
-201
-33
-19
-112
-144
-56
-28
-35
-46
-108
-86
122
84
107
56
25
134
-1
35
23
72
54
0,63
0,39
0,17
0,51
0,17
0,42
0,04
0,99
0,51
0,69
0,65
Men
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,7
3,3
5,1
4,1
5,4
2,8
16,0
2,6
2,8
2,4
14,7
0,8
3,1
5,0
4,0
4,6
3,5
15,1
2,7
3,1
2,3
14,0
44
42
-10
22
41
29
-12
-55
48
-79
17
-128
-40
-65
-51
-24
-89
-39
-188
-37
-215
0
216
124
46
95
106
147
15
79
134
58
34
0,61
0,31
0,73
0,55
0,22
0,63
0,38
0,42
0,27
0,26
0,05
Quarterly Labour Force Survey, Quarter 3, 2016