Statistical release
P0211
Quarterly Labour Force Survey
Quarter 4, 2013
Embargoed until:
11 February 2014
11:30
Enquiries:
User Information Services
Tel: (012) 310 8600/4892/8390
Forthcoming issue:
Quarter 1, 2014
Expected release date
May 2014
Statistics South Africa
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Contents
Page
1.
Introduction ...................................................................................................................................... v
2.
Revised and published estimates ..................................................................................................... v
3.
Highlights of the results ....................................................................................................................vi
4.
The unemployed population ........................................................................................................... xiii
5.
Summary labour market measures at a glance ...............................................................................xv
6.
Technical notes .............................................................................................................................. xvi
6.1. Response details ............................................................................................................................ xvi
6.2. Survey requirements and design .................................................................................................... xvi
6.3. Sample rotation .............................................................................................................................. xvi
6.4. Weighting ....................................................................................................................................... xvi
6.5. Non-response adjustment ............................................................................................................. xvii
6.6. Final survey weights ...................................................................................................................... xvii
6.7. Estimation ..................................................................................................................................... xvii
6.8. Reliability of the survey estimates ................................................................................................. xvii
7.
Definitions .................................................................................................................................... xviii
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
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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 population group ...................................................................... 6
Table 2.3: Labour force characteristics by province ................................................................................... 8
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment .......................... 13
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment ..... 15
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment ............... 17
Table 2.7: Labour force characteristics by province – Expanded definition of unemployment .................. 19
Table 3.1: Employed by industry and sex – South Africa ......................................................................... 23
Table 3.2: Employed by industry and province ........................................................................................ 24
Table 3.3: Employed by sector and industry – South Africa ..................................................................... 28
Table 3.4: Employed by province and sector ........................................................................................... 29
Table 3.5: Employed by sex and occupation – South Africa .................................................................... 31
Table 3.6: Employed by sex and status in employment – South Africa .................................................... 32
Table 3.7: Employed by sex and usual hours of work -–South Africa....................................................... 33
Table 3.8: Conditions of employment – South Africa ............................................................................... 34
Table 3.9: Time-related underemployment – South Africa ....................................................................... 40
Table 4: Characteristics of the unemployed – South Africa ...................................................................... 41
Table 5: Characteristics of the not economically active – South Africa .................................................... 43
Table 6: Socio-demographic characteristics – South Africa ..................................................................... 44
Table 7: Profile of those not in education and not in employment – South Africa ..................................... 48
Table 8: Involvement in non-market activities and labour market status by province ............................... 49
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
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Appendix 1
Appendix 2A: Sampling variability for labour force characteristics by sex ................................................ 53
Appendix 2.1A: Sampling variability for labour force characteristics by population group ........................ 55
Appendix 2.3A: Sampling variability for labour force characteristics by province ..................................... 57
Appendix 3.1A: Sampling variability for the employed by industry and sex .............................................. 62
Appendix 3.4A: Sampling variability for the employed by province and sector ......................................... 63
Appendix 3.5A: Sampling variability for the employed by sex and occupation ......................................... 65
Appendix 2B: Sampling variability for labour force characteristics by sex ................................................ 66
Appendix 2.1B: Sampling variability for labour force characteristics by population group ........................ 68
Appendix 2.3B: Sampling variability for labour force characteristics by province ..................................... 70
Appendix 3.1B: Sampling variability for the employed by industry and sex .............................................. 75
Appendix 3.4B: Sampling variability for the employed by province and sector ......................................... 76
Appendix 3.4B: Sampling variability for the employed by province and sector ......................................... 77
Appendix 3.5B: Sampling variability for the employed by sex and occupation ......................................... 78
Quarterly Labour Force Survey, Quarter 4, 2013
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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 to 64 years.
Stats SA has updated the QLFS results (2008-2013), to reflect the new population benchmarks from
Census 2011. The patterns, trends and dynamics in fertility, mortality and migration obtained from the
census are the main drivers of the historical revisions. Trends in all the revised labour market indicators are
similar to those previously published. The revised estimates of the working age population; employment;
and unemployment are higher than previously published but this has had little impact on key labour market
rates such as the unemployment rate, the labour absorption rate and the labour force participation rate. A
report with the historical revisions of the QLFS, which includes the weighting methodology, can be
downloaded from www.statssa.gov.za. Historical time series data in Excel format are also available for
selected variables.
2.
Revised and published estimates
Figure 1: Employment
Figure 2: Absorption rate
Revised employment
Published employment
Million (broken scale)
Revised absorption rate
%
Published absorption rate
50,0
16,0
40,0
12,0
30,0
20,0
8,0
10,0
4,0
0,0
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2008
2009
2010
2011
2012
Figure 3: Unemployment
Revised unemployment
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2013
2008
2009
2010
2011
2012
2013
Figure 4: Unemployment rate
Published unemployment
Revised unemployment rate
%
Million (broken scale)
5,5
Published unemployment rate
30,0
5,0
25,0
4,5
20,0
4,0
3,5
15,0
3,0
10,0
2,5
2,0
5,0
1,5
0,0
1,0
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2008
2009
2010
2011
2012
2013
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2008
2009
2010
2011
2012
2013
Quarterly Labour Force Survey, Quarter 4, 2013
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Figures 1 to 4 show that the level of both employment and unemployment was higher, based on the revised
population estimates. This resulted in minor changes to the unemployment and absorption rates over the
period 2008 to 2013.
This report presents the key findings of the QLFS conducted from October to December 2013 (Q4:2013)
based on the revised estimates.
3. Highlights of the results
Table A: Key labour market indicators
Oct-Dec
2012
Population 15–64 yrs
34 405
Oct-Dec
2013
Thousand
34 868
35 022
Labour force
Employed
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
19 233
14 524
10 266
2 351
718
1 189
19 916
15 036
10 709
2 323
740
1 264
4 709
Unemployed
Not economically active
Discouraged work-seekers
Other (not economically active)
Rates (%)
Unemployment rate
Employment/population ratio
(absorption rate)
Labour force participation rate
Jul-Sep
2013
Qtr-toQtr
change
Year-onyear
change
Qtr-toYear-onQtr
year
change
change
Per cent
0,4
1,8
153
617
20 007
15 177
10 773
2 446
713
1 244
91
141
64
123
-27
-20
774
653
507
95
-4
55
0,5
0,9
0,6
5,3
-3,6
-1,6
4,0
4,5
4,9
4,0
-0,6
4,6
4 880
4 830
-50
121
-1,0
2,6
15 172
2 301
12 870
14 952
2 297
12 655
15 015
2 200
12 815
63
-97
159
-157
-101
-56
0,4
-4,2
1,3
-1,0
-4,4
-0,4
24,5
24,5
24,1
-0,4
-0,4
42,2
55,9
43,1
57,1
43,3
57,1
0,2
0,0
1,1
1,2
Due to rounding, numbers do not necessarily add up to totals.
Over the period Q3:2013 to Q4:2013, employment increased by 141 000 largely due to an increase of
123 000in the informal sector and 64 000 jobs in the formal sector. Both the Agricultural and Private
households industries shed jobs (by 27 000 and 20 000 respectively). The number of unemployed persons
decreased by 50 000 over the period. This resulted in a slight decrease in the unemployment rate by 0,4 of
a percentage point to 24,1%, and an increase in the absorption rate of 0,2 of a percentage point to 43,3%.
Over the same period, discouraged job-seekers declined by 97 000, while the other(not economically active
group)increased by 159 000, resulting in an increase of 63 000 in the not economically active group as a
whole.
Year-on-year changes highlight improvements in the labour market. Over the period Q4:2012 and
Q4: 2013, employment increased by 653 000 largely as a result of an increase of 507 000 in the formal
sector. Employment in the informal sector increased by 95 000 over the same period. Despite the increase
in unemployment by 121 000, the unemployment rate declined by 0,4 of a percentage point to 24,1%. The
labour force participation rate and the absorption rate increased by 1,2 and 1,1 percentage points
respectively. Among the not economically active population, discouraged work-seekers declined by
4,4%,and the remainder of the not economically active group by 0,4%.
Quarterly Labour Force Survey, Quarter 4, 2013
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Statistics South Africa
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Thousand
Figure 5: Quarter-to-quarter changes in employment, quarter 1:2008 to quarter 4:2013
400
300
200
100
0
-100
-200
-300
-400
-500
-600
Q1
Qtr-to-qtr change
Q2 Q3
2008
Q4
147
220 - 153 - 259 - 527 143 - 176
- 36
Q1
Q2 Q3
2009
Q4
Q1
Q2 Q3
2010
11
Q4
- 161 250
Q1
5
Q2 Q3
2011
Q4
Q1
Q2 Q3
2012
Q4
Q1
Q2 Q3
2013
Q4
18
218
- 52
25
- 38
35
133
141
197
232
344
Figure 5 shows that the largest job losses occurred in the first three quarters of 2009. In 2013, employment
increased each quarter, reaching 15,2 million in Q4:2013. Although this is the highest level of employment
since 2008, the increase in the working-age population resulted in the absorption rate being below the
levels reached in the pre-recession period.
Figure 6: Year-on-year change in employment, quarter 1:2008 to quarter 4:2013
Thousand
800
600
400
200
- 200
- 400
- 600
- 800
-1 000
Yr-on-yr change
Q1
178
Q2
Q3
2009
- 228 - 719
Q4
Q1
- 796
- 818
Q2
Q3
2010
- 548 - 182
Q4
Q1
- 75
106
Q2
Q3
2011
113
471
Q4
Q1
438
380
Q2
Q3
2012
408
443
Q4
Q1
187
274
Q2
Q3
2013
362
474
Q4
653
Year-on-year changes in employment show that after seven successive quarterly declines, the number of
jobs increased for twelve consecutive quarters over the period Q1: 2011 to Q4: 2013. The largest
employment increase was observed in Q4: 2013, where 653 000 persons gained employment.
Quarterly Labour Force Survey, Quarter 4, 2013
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Table B: Employment by industry
Oct-Dec
2012
Industry
Total*
Agriculture
#
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance and other business services
Community and social services
Private households
Jul-Sep
2013
14 524
15 036
Oct-Dec
2013
Thousand
15 177
718
380
1 814
102
1 132
3 108
877
1 950
3 251
1 189
740
422
1 778
139
1 145
3 185
926
2 060
3 373
1 264
713
426
1 766
127
1 204
3 224
961
2 037
3 470
1 244
Qtr-toqtr
change
Year-onyear
change
141
653
-27
4
-12
-13
59
40
35
-23
97
-20
-4
46
-48
25
72
117
84
88
219
55
Qtr-toYear-onqtr
year
change
change
Per cent
0,9
4,5
-3,6
0,9
-0,7
-9,1
5,1
1,2
3,8
-1,1
2,9
-1,6
-0,6
12,0
-2,7
24,1
6,4
3,7
9,6
4,5
6,7
4,6
Note: Total includes other 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).
*Due to rounding, numbers do not necessarily add up to totals.
The highest employment gains quarter-to-quarter were observed in the Community and social services,
Construction, and Trade industries, contributing 97 000, 59 000 and 40 000 jobs respectively. Job losses
were observed in five industries, and of these, the Agriculture, Finance and other business services, and
Private households industries shed most jobs (27 000, 23 000 and 20 000 respectively).
Year-on-year changes in Table B show that over the period Q4: 2012 and Q4: 2013, employment increased
by 653 000. The Community and social services and Trade industries contributed the most to the increase
(219 000 and 117 000 jobs respectively).Both the Manufacturing and Agriculture industries shed jobs over
the same period (by 48 000 and 4 000 respectively).
Table C: Employment by province
Oct-Dec
2012
Province
South Africa
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
14 524
2 103
1 225
301
729
2 399
847
4 724
1 065
1 130
Jul-Sep
2013
Oct-Dec
2013
Thousand
15 036
15 177
2 138
1 293
316
737
2 569
851
4 823
1 149
1 159
2 235
1 332
329
746
2 527
869
4 823
1 149
1 168
Qtr-toqtr
change
Year-onyear
change
141
653
98
38
13
8
-42
17
0
0
9
133
106
28
16
128
22
98
84
37
Qtr-toYear-onqtr
year
change
change
Per cent
0,9
4,5
4,6
3,0
4,1
1,1
-1,6
2,0
0,0
0,0
0,8
6,3
8,7
9,4
2,2
5,3
2,6
2,1
7,9
3,3
*Due to rounding, numbers do not necessarily add up to totals.
In Q4:2013, the highest employment gains were observed in the Western Cape, Eastern Cape and North
West, contributing 98 000, 38 000 and 17 000 jobs respectively. KwaZulu-Natal was the only province that
experienced job losses (of 42 000) in Q4:2013.
Between Q4: 2012 and Q4: 2013, employment increased in every province, with the largest increase
observed in Western Cape (133 000), and the smallest increase in Free State (16 000). KwaZulu-Natal and
Eastern Cape had the second and the third largest increases at 128 000 and 106 000 jobs respectively.
Although Northern Cape experienced the second lowest increase in employment, it had the highest yearon-year employment growth rate of 9,4%.
Quarterly Labour Force Survey, Quarter 4, 2013
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Statistics South Africa
Figure 7: Quarter-to-quarter changes in formal
sector employment by industry
Thousand
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Figure 8: Year-on-year changes in formal sector
employment by industry
Thousand
200
200
150
150
100
100
50
50
0
0
-50
-50
-100
-100
Qtr-to-qtr
change
Mining
Manufact
uring
2
-39
Utilities Constructi
on
-13
7
Trade
55
Transport
6
Finance
Services
-20
66
Mining Manufactu
ring
Yr-on-yr change
46
-77
Utilities Constructio
n
25
32
Trade
Transport
Finance
Services
174
59
78
169
#
Mining is a very clustered industry, hence the industry might not have been adequately captured by the QLFS sample. For more robustmining
estimates, please use the Quarterly Employment Statistics (QES).
The increase in the formal sector by 64 000 (see Table A) observed in Q4: 2013 resulted mainly from
increases in the Community and social services and Trade industries. Between Q3: 2013 and Q4: 2013,
employment increased by 66 000 in the Community and social services industry and by 55 000 in the Trade
industry, while job losses were observed in the Manufacturing, Finance and other business services, and
Utilities industries (39 000, 20 000 and 13 000 respectively).
Compared to Q4: 2012, in Q3: 2013 formal sector employment increased in all the industries, except in the
Manufacturing industry where77 000 jobs were lost. The largest increases were observed in the Trade and
Community and social services industries, with increases of 174 000 and 169 000 respectively. This
resulted in a gain of 507 000 jobs in the formal sector (see Table A).
Thousand
Figure 9: Quarter-to-quarter changes in formal sector employment
400
300
200
100
- 100
- 200
- 300
- 400
Qtr-to-qtr change
Q1
Q2 Q3
2008
131 48
Q4
Q1
109
- 60
Q2 Q3 Q4 Q1 Q2 Q3 Q4
2009
2010
- 85 - 290 58 - 149 - 85 - 129 239
Q1
66
Q2 Q3
2011
- 12 228
Q4
Q1
210
- 89
Q2 Q3
2012
71 119
Q4
Q1
- 45
- 24
Q2 Q3
2013
132 335
Q4
64
Figure 9 shows that in Q4: 2013, the increase in formal sector jobs was substantially lower than in the
previous two quarters.
Quarterly Labour Force Survey, Quarter 4, 2013
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Figure 10: Year-on-year changes in formal sector employment
Thousand
600
400
200
- 200
- 400
- 600
Q1
Q2
Q3
Q4
Q1
Q2
2009
Yr-on-yr
change
227
11
Q3
Q4
Q1
2010
- 326
- 377
- 466
- 466
Q2
Q3
Q4
Q1
Q2
2011
- 305
- 125
90
163
Q3
Q4
Q1
Q2
2012
520
490
335
419
Q3
Q4
399
507
2013
310
56
121
182
Year-on-year changes in formal sector employment show an increase each year for the last four quarters.
Figure 11: Quarter-on-quarter changes in
informal sector employment by industry
Figure 12: Year-on-year changes in informal
sector employment by industry
Thousand
Thousand
60
60
40
40
20
20
0
0
-20
-20
-40
-40
-60
-60
-80
-80
Mining Manufactu
ring
Qtr-to-qtr change
1
27
Utilities Constructi
on
0
52
Trade
Transport
Mining Manufactur
ing
Finance Services
Yr-on-yr change
-15
29
-3
0
28
Utilities Constructio
n
-1
40
Trade
Transport
Finance
Services
-58
25
9
50
31
#
Mining is a very clustered industry, hence the industry might not have been adequately captured by the QLFS sample. For more robustmining
estimates, please use the Quarterly Employment Statistics (QES).
Quarter-to-quarter changes in Q4: 2013 show that informal sector jobs increased in five industries (Figure
11), with the largest increase observed in the Construction industry (by 52 000 jobs). Over the same period,
employment declined in the Trade and Finance and other business services industries(15 000 and 3 000
respectively), while employment in the Utilities industry remained unchanged.
Compared to a year ago, employment gains were concentrated in the Community and social services and
Construction industries, with increases of 50 000 and 40 000 jobs observed in each industry. Job losses
were observed in the Trade and Utilities industries (58 000 and 1 000 respectively), while employment in
the Mining industry remained unchanged.
Quarterly Labour Force Survey, Quarter 4, 2013
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Figure 13: Quarter-to-quarter changes in informal sector employment
Thousand
200
150
100
50
- 50
- 100
- 150
- 200
Q1
Q2
Q3
Q4
Q1
Q2
2008
Qtr-to-qtr
change
11
Q3
Q4
Q1
2009
-166
87
-81
-41
-135
Q2
Q3
Q4
Q1
Q2
2010
142
-101
144
Q3
Q4
Q1
Q2
2011
-15
40
-40
30
-43
Q3
Q4
Q1
Q2
2012
-32
-20
-4
Q3
Q4
-37
123
2013
118
24
-17
26
Figure 13 shows that employment gains were observed in the fourth quarter of every year with the
exception of Q4: 2011, and employment declines were observed in the first quarter of every year. The
informal sector generally experienced more job losses than job gains on a quarterly basis. In the fourth
quarter of 2013, 123 000 informal sector jobs were created after a loss of 37 000 in the third quarter of
2013.
Figure 14: Year-on-year changes in informal sector employment
Thousand
200
150
100
50
- 50
- 100
- 150
- 200
- 250
Q1
Q2
Q3
Q4
Q1
Q2
2009
Yr-on-yr change
- 149
- 201
- 170
Q3
Q4
Q1
Q2
2010
- 116
- 136
50
Q3
Q4
Q1
Q2
2011
169
68
129
15
Q3
Q4
Q1
Q2
2012
- 13
- 85
- 65
- 98
Q3
Q4
-4
95
2013
63
119
122
151
Year-on-year employment losses in the informal sector of 4 000 in Q3: 2013 were reversed with an
increase of 95 000 in Q4: 2013.
Quarterly Labour Force Survey, Quarter 4, 2013
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Table D: Employment by occupation
Oct-Dec
2012
Occupation
Total
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
Jul-Sep
2013
14 524
15 036
1 152
861
1 609
1 546
2 123
63
1 773
1 222
3 216
958
1 235
957
1 666
1 696
2 181
67
1 690
1 244
3 271
1 030
Oct-Dec
2013
Thousand
15 177
1 230
893
1 637
1 624
2 298
75
1 847
1 251
3 310
1 012
Qtr-toqtr
change
Year-onyear
change
141
653
-4
-64
-29
-72
116
8
157
7
39
-18
78
32
29
78
175
12
74
29
94
54
Qtr-toYear-onqtr
year
change
change
Per cent
0,9
4,5
-0,3
-6,7
-1,7
-4,2
5,3
12,7
9,3
0,5
1,2
-1,8
6,8
3,7
1,8
5,0
8,2
18,9
4,2
2,4
2,9
5,6
*Due to rounding, numbers do not necessarily add up to totals.
In Q4: 2013, employment gains were mostly observed among individuals in semi-skilled occupations
(Clerk, Sales and services, skilled agriculture, craft and related trade, and plant and machine operator
occupations); while those in skilled occupations shed jobs. The largest gains were recorded in Craft and
related trade (157 000) and Sales and services (116 000) occupations.
Compared to a year ago, employment increased in all occupation categories, resulting in a total
employment gain of 653 000. More than a quarter of the total gain in employment was realised in Sales and
services occupations.
Figure 15: Quarter-to-quarter changes in nature
of employment contract
Q3: 2013
Q4: 2013
Figure 16: Year-on-year changes in nature of
employment contract
Q4: 2013
Change
Q4: 2012
Change
255
Unspecified
7
Unspecified
3 015
2 760
Permanent
-95
Permanent
8 046
7 922
124
Limited
127
Limited
1 975
1 631
344
0
2000
4000
6000
8000
2 000
4 000
6 000
8 000
Figure 15 shows an increase in the number of employees with contracts of limited duration. The number of
persons with contracts of limited duration increased by 127 000, while those with contracts of a permanent
nature decreased by 95 000 between Q3: 2013 and Q4: 2013.
Over the period Q4: 2012 to Q4: 2013, the number of employees on all types of employment contracts
increased. The greatest increase was observed among those with contracts of limited duration (344 000),
followed by those with contracts of unspecified duration (255 000).
Quarterly Labour Force Survey, Quarter 4, 2013
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Statistics South Africa
Figure 17: How salary increment was negotiated
Employer only
53,8
Union and employer
22,1
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Table E: Year-on-year changes in the number of
employees belonging to a trade union by type of
salary negotiation
Q4:2012
Q4:2013
Thousand
Change
41
60
19
2 577
2 649
72
Individual and employer
Union and employer
Individual and employer
9,9
Bargaining council
862
841
-21
Bargaining council
8,2
Employer only
194
172
-22
No regular increment
5
4
-1
No regular increment
5,4
Other
2
2
0
Total
3 682
Other
%
0,5
0,0
10,0
20,0
30,0
40,0
50,0
3 728
46
60,0
Figure 17shows that in Q4: 2013, more than half of employees had their salary increments determined by
their employers only. Only 22,1% of employees had their salary negotiated by unions, and 9,9%
represented themselves.
Between Q4: 2012 and Q4: 2013, union membership increased by 46 000 members. Union membership of
employees who had their salary increment determined by employers only had decreased by 22 000
members, while those who were represented by the bargaining council decreased by 21 000. An increase
in union membership was observed among those who benefited from union representation during salary
negotiations and those who represented themselves (see Table E).
4. The unemployed population
Table F: The unemployed by sex
Oct-Dec
2012
Unemployed
Total*
Women
Men
4 709
2 327
2 383
Jul-Sep
2013
Oct-Dec
2013
Thousand
4 880
4 830
2 377
2 376
2 503
2 454
Qtr-toqtr
change
-50
-1
-49
Year-onyear
change
121
49
71
Qtr-toYear-onqtr
year
change
change
Per cent
-1,0
2,6
0,0
2,1
-2,0
3,0
*Due to rounding, numbers do not necessarily add up to totals.
The number of unemployed persons decreased by 50 000 (or 1,0%) between Q3: 2013 and Q4: 2013. This
is largely attributable to a decline of 49 000 among unemployed men.
Year-on-year changes in Q4: 2013 show that, of the 121 000 increase in the number of unemployed
persons, unemployed men increased by 71 000 (or 3,0%) while unemployed women increased by 49 000
(or 2,1%).
Quarterly Labour Force Survey, Quarter 4, 2013
xiv
Statistics South Africa
P0211
Figure 18: Unemployment rate by sex
%
30,0
25,0
20,0
15,0
10,0
Q1
Q2
Q3
Q4
2008
Q1
Q2
Q3
Q4
Q1
2009
Q2
Q3
Q4
2010
Q1
Q2
Q3
Q4
Q1
2011
Q2
Q3
Q4
2012
Q1
Q2
Q3
Q4
2013
Women 26,6 26,3 25,8 24,9 25,6 25,3 26,3 25,6 27,2 27,4 27,9 26,3 27,9 28,1 27,5 25,9 27,3 26,8 27,5 27,1 26,8 27,5 26,2 26,3
Men
20,5 19,7 20,4 18,8 20,9 21,5 23,0 22,8 23,3 23,2 23,5 22,0 22,4 23,5 22,9 22,0 23,2 23,1 23,3 22,4 23,6 23,4 23,1 22,4
RSA
23,2 22,6 22,8 21,5 23,0 23,2 24,5 24,1 25,1 25,1 25,4 23,9 24,8 25,6 25,0 23,8 25,0 24,8 25,2 24,5 25,0 25,3 24,5 24,1
Figure 18 outlines the vulnerability of women in the labour market. The unemployment of women remains
higher than that of men. The rate among men has declined for three successive quarters to 22,4% in Q4:
2013 while that of women remained virtually unchanged after declining in Q3: 2013..
Table G: Unemployment rate by province
Official unemployment rate
Oct-Dec
2012
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
South Africa
24,5
Per cent
24,5
24,1
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
23,4
29,5
28,3
32,7
21,9
23,2
23,5
29,1
23,1
30,4
27,9
33,7
20,6
26,5
24,3
26,5
21
27,8
24,9
33
19,9
27,3
25,2
27,2
-2,1
-2,6
-3
-0,7
-0,7
0,8
0,9
0,7
Limpopo
19,1
17,2
16,9
-0,3
Expanded unemployment rate
Year-onyear
Percentage points
-0,4
-0,4
Oct-Dec
2012
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear
35,1
Per cent
34,9
34,0
Percentage points
-0,9
-1,1
-2,4
-1,7
-3,4
0,3
-2
4,1
1,7
-1,9
25,1
45,8
34,9
39,6
38,4
40,7
28,7
43,4
25,3
44,2
35,9
40,8
37,2
42,6
29,1
40,2
22,1
43,3
34,8
40,9
36,2
42,2
28,9
40,2
-3,2
-0,9
-1,1
0,1
-1,0
-0,4
-0,2
0,0
-3,0
-2,5
-0,1
1,3
-2,2
1,5
0,2
-3,2
-2,2
38,0
38,9
36,1
-2,8
-1,9
The decline in the official unemployment rate from 24,5% to 24,1% between Q3: 2013 and Q4: 2013was
mainly due to unemployment rate decreases in six provinces. The highest decreases were observed in
Northern Cape, Eastern Cape and Western Cape. In Q4: 2013, Free State had the highest official
unemployment rate (33,0%), while Limpopo had the lowest official unemployment rate (16,9%).
In comparison to the same period last year, the official unemployment rate increased by the largest amount
in North West (4,1 percentage points).
The expanded unemployment rate from 34,9% to 34,0% between Q3: 2013 and Q4: 2013 was mainly due
to unemployment rate decreases in seven provinces. The highest decreases were observed in Western
Cape, Limpopo and Northern Cape. Eastern Cape (43,3%), North West (42,2%) and Free State (40,9%)
had the highest expanded unemployment rate, while Western Cape had the lowest expanded
unemployment rate of 22,1%.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
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5. Summary labour market measures at a glance
PJ Lehohla
Statistician-General: Statistics South Africa
Quarterly Labour Force Survey, Quarter 4, 2013
xvi
Statistics South Africa
P0211
6. Technical notes
6.1. Response details
Table H: Response rates by province
Oct-Dec
2013
Province
Per cent
Western Cape
92,6
Eastern Cape
97,5
Northern Cape
91,7
Free State
97,9
KwaZulu-Natal
96,2
North West
92,9
Gauteng
84,1
Mpumalanga
92,5
Limpopo
98,9
South Africa
93,3
6.2. Survey requirements and design
The Quarterly Labour Force Survey (QLFS) frame has been developed as a general-purpose household
survey frame that can be used by all other household surveys, irrespective of the sample size requirement
of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.
The sample is based on information collected during the 2001 population census conducted by Stats SA. In
preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA’s
household-based surveys use a master sample of primary sampling units (PSUs) which comprise EAs that
are drawn from across the country.
The sample is designed to be representative at provincial level and within provinces at metro/non-metro
level. Within the metros, the sample is further distributed by geography type. The four geography types are:
urban formal, urban informal, farms, and tribal. This implies, for example, that within a metropolitan area,
the sample is representative of the different geography types that may exist within that metro.
The current sample size is 3 080 PSUs. It is divided equally into four subgroups or panels called rotation
groups. The rotation groups are designed in such a way that each of these groups has the same
distribution pattern as that which is observed in the whole sample. They are numbered from one to four and
these numbers also correspond to the quarters of the year in which the sample will be rotated for the
particular group.
The sample for the redesigned Labour Force Survey (i.e. the QLFS) is based on a stratified two-stage
design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of
dwelling units (DUs) with systematic sampling in the second stage.
6.3. Sample rotation
Each quarter, a ¼ of the sampled dwellings rotate out of the sample and are replaced by new dwellings
from the same PSU or the next PSU on the list. Thus, sampled dwellings will remain in the sample for four
consecutive quarters. It should be noted that the sampling unit is the dwelling, and the unit of observation is
the household. Therefore, if a household moves out of a dwelling after being in the sample for, say two
quarters, and a new household moves in, the new household will be enumerated for the next two quarters.
If no household moves into the sampled dwelling, the dwelling will be classified as vacant (unoccupied).
6.4. Weighting
The sampling weights for the data collected from the sampled households are constructed in such a
manner that the responses could be properly expanded to represent the entire civilian population of South
Africa. The weights are the result of calculations involving several factors, including original selection
probabilities, adjustment for non-response, and benchmarking to known population estimates from the
Demography division of Stats SA.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
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6.5. Non-response adjustment
In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edits failure
(i.e. invalid or inconsistent responses). The eligible households in the sampled dwellings can be divided
into two response categories: respondents and non-respondents; and weight adjustment is applied to
account for the non-respondent households (e.g. refusal, no contact, etc.).
6.6. Final survey weights
The final survey weights are constructed using regression estimation to calibrate to the known population
counts at the national level population estimates (which are supplied by the Demography division), crossclassified by 5-year age groups, gender and race, and provincial population estimates by broad age
groups. The 5-year age groups are: 0–4, 5–9, 10–14, etc., and 65 years and above. The provincial level
age groups are: 0–14, 15–34, 35–64, and 65 years and over. The calibrated weights are constructed such
that all persons in a household would have the same final weight.
6.7. Estimation
The final survey weights are used to obtain the estimates for various domains of interest, e.g. number of
persons employed in agriculture in Western Cape, number of females employed in manufacturing, etc.
6.8. 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. The variance estimation methodology is
discussed below.
(i)Variance estimation
The most commonly used methods for estimating variances of survey estimates from complex surveys
such as the QLFS, are the Taylor-series Linearization, Jackknife Replication, Balanced Repeated
Replication (BRR), and Bootstrap methods (Wolter, 2007)1. The Fay’s BRR method has been used for
variance estimation in the QLFS because of its simplicity.
(ii) Coefficient of variation
It is more useful in many situations to assess the size of the standard error relative to the magnitude of the
characteristic being measured (the standard error is defined as the square root of the variance). The
coefficient of variation  cv  provides such a measure. It is the ratio of the standard error of the survey
estimate to the value of the estimate itself expressed as a percentage. It is very useful in comparing
the precision of several different survey estimates, where their sizes or scale differ from one another.
(iii) P-value of an estimate of change
The p-value corresponding to an estimate of change is the probability of observing a value larger than the
particular observed value under the hypothesis that there is no real change. If p-value <0,01, the difference
is highly significant; if p-value is between 0,01 and 0,05, the difference is significant; and if p-value >0,05,
the difference is not significant.
1
Wolter KM, 2007.Introduction to Variance Estimation, 2ndEdition.New York: Springer-Verlag.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
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7. 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 (temporarily absent).
Employment-to-population ratio (labour absorption rate) is the proportion of the working-age
population that is employed.
Informal employment identifies persons who are in precarious employment situations irrespective of
whether or not the entity for which they work is in the formal or informal sector. Persons in informal
employment therefore 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 which 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.
NEET rate is the proportion of youth aged 15–24 years whoare not in education, employment or training.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
1
P0211
Appendix 1
Table 1: Population of working age (15–64 years)
Oct-Dec
2012
Thousand
Jan-Mar
2013
Thousand
Apr-Jun
2013
Thousand
Jul-Sep
2013
Thousand
Oct-Dec
2013
Thousand
Qtr-to-qtr
change
Thousand
Year-on-year
change
Thousand
Qtr-to-qtr
change
Per cent
Year-on-year
change
Per cent
Both sexes
Women
Men
34 405
17 527
16 878
34 558
17 596
16 962
34 712
17 666
17 046
34 868
17 738
17 130
35 022
17 808
17 214
153
70
84
617
281
335
0,4
0,4
0,5
1,8
1,6
2
Population groups
BlackAfrican
Coloured
Indian/Asian
White
34 405
27 092
3 212
943
3 158
34 558
27 237
3 224
947
3 151
34 712
27 383
3 236
950
3 143
34 868
27 532
3 247
953
3 136
35 022
27 679
3 259
956
3 128
153
147
11
3
-8
617
587
47
13
-30
0,4
0,5
0,4
0,3
-0,2
1,8
2,2
1,5
1,3
-1,0
South Africa
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
34 405
4 040
4 021
741
1 835
6 456
2 313
8 981
2 616
3 402
34 558
4 062
4 030
744
1 838
6 479
2 324
9 034
2 629
3 418
34 712
4 085
4 040
746
1 841
6 502
2 335
9 087
2 642
3 434
34 868
4 108
4 048
749
1 845
6 527
2 345
9 141
2 656
3 450
35 022
4 130
4 056
751
1 848
6 549
2 356
9 195
2 669
3 466
153
23
8
2
3
22
11
54
13
16
617
91
35
10
13
93
43
214
54
64
0,4
0,6
0,2
0,3
0,2
0,3
0,5
0,6
0,5
0,5
1,8
2,2
0,9
1,4
0,7
1,4
1,9
2,4
2,1
1,9
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
2
P0211
Table 2: Labour force characteristics by sex – All population groups
Both sexes
Population 15–64 yrs
Labour force
Employed
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active)
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
19 233
14 524
10 266
2 351
718
1 189
4 709
15 172
2 301
12 870
34 558
19 420
14 558
10 242
2 334
764
1 219
4 862
15 138
2 401
12 737
34 712
19 663
14 692
10 374
2 360
742
1 215
4 972
15 049
2 425
12 624
34 868
19 916
15 036
10 709
2 323
740
1 264
4 880
14 952
2 297
12 655
35 022
20 007
15 177
10 773
2 446
713
1 244
4 830
15 015
2 200
12 815
153
91
141
64
123
-27
-20
-50
63
-97
159
617
774
653
507
95
-4
55
121
-157
-101
-56
24,5
42,2
55,9
25,0
42,1
56,2
25,3
42,3
56,6
24,5
43,1
57,1
24,1
43,3
57,1
-0,4
0,2
0,0
-0,4
1,1
1,2
17 527
8 601
6 274
4 184
916
237
937
2 327
8 926
1 286
7 640
17 596
8 679
6 353
4 214
924
254
960
2 326
8 918
1 342
7 575
17 666
8 878
6 434
4 297
943
222
972
2 444
8 788
1 334
7 454
17 738
9 077
6 700
4 481
977
232
1 010
2 377
8 661
1 228
7 433
17 808
9 046
6 670
4 485
971
210
1 004
2 376
8 762
1 175
7 587
70
-31
-30
4
-6
-21
-7
-1
101
-53
153
281
446
396
301
55
-27
67
49
-164
-111
-53
27,1
35,8
49,1
26,8
36,1
49,3
27,5
36,4
50,3
26,2
37,8
51,2
26,3
37,5
50,8
0,1
-0,3
-0,4
-0,8
1,7
1,7
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
0,5
0,9
0,6
5,3
-3,6
-1,6
-1,0
0,4
-4,2
1,3
1,8
4,0
4,5
4,9
4,0
-0,6
4,6
2,6
-1,0
-4,4
-0,4
0,4
-0,3
-0,4
0,1
-0,6
-9,2
-0,7
0,0
1,2
-4,3
2,1
1,6
5,2
6,3
7,2
6,0
-11,4
7,1
2,1
-1,8
-8,7
-0,7
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
3
P0211
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 (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
16 878
10 633
8 250
6 082
1 435
480
252
2 383
6 246
1 015
5 231
16 962
10 742
8 206
6 028
1 410
510
259
2 536
6 220
1 058
5 162
17 046
10 786
8 257
6 077
1 417
520
243
2 528
6 260
1 090
5 170
17 130
10 839
8 336
6 228
1 346
508
254
2 503
6 291
1 069
5 222
17 214
10 961
8 507
6 288
1 475
503
241
2 454
6 253
1 025
5 228
84
121
171
60
129
-5
-13
-49
-38
-44
6
335
328
257
206
40
23
-12
71
7
10
-3
22,4
48,9
63,0
23,6
48,4
63,3
23,4
48,4
63,3
23,1
48,7
63,3
22,4
49,4
63,7
-0,7
0,7
0,4
0,0
0,5
0,7
Qtr-to-qtr
change
Per cent
0,5
1,1
2,0
1,0
9,6
-1,0
-5,1
-2,0
-0,6
-4,1
0,1
Year-onyear
change
Per cent
2,0
3,1
3,1
3,4
2,8
4,7
-4,6
3,0
0,1
1,0
-0,1
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
4
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
BlackAfrican
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
19 233
14 524
4 709
15 172
34 558
19 420
14 558
4 862
15 138
34 712
19 663
14 692
4 972
15 049
34 868
19 916
15 036
4 880
14 952
35 022
20 007
15 177
4 830
15 015
153
91
141
-50
63
617
774
653
121
-157
24,5
42,2
55,9
25,0
42,1
56,2
25,3
42,3
56,6
24,5
43,1
57,1
24,1
43,3
57,1
-0,4
0,2
0,0
-0,4
1,1
1,2
27 092
14 498
10 460
4 038
12 594
27 237
14 655
10 501
4 153
12 582
27 383
14 869
10 623
4 246
12 515
27 532
15 102
10 943
4 159
12 430
27 679
15 215
11 091
4 124
12 464
147
113
148
-35
34
587
717
631
86
-130
27,9
38,6
53,5
28,3
38,6
53,8
28,6
38,8
54,3
27,5
39,7
54,9
27,1
40,1
55,0
-0,4
0,4
0,1
-0,8
1,5
1,5
3 212
2 047
1 562
485
1 164
3 224
2 043
1 561
482
1 180
3 236
2 062
1 541
521
1 173
3 247
2 076
1 567
509
1 172
3 259
2 102
1 619
483
1 157
11
26
52
-26
-15
47
55
57
-2
-8
23,7
48,6
63,7
23,6
48,4
63,4
25,3
47,6
63,7
24,5
48,2
63,9
23,0
49,7
64,5
-1,5
1,5
0,6
-0,7
1,1
0,8
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
0,5
0,9
-1,0
0,4
1,8
4,0
4,5
2,6
-1,0
0,5
0,7
1,4
-0,8
0,3
2,2
4,9
6,0
2,1
-1,0
0,4
1,3
3,3
-5,2
-1,3
1,5
2,7
3,7
-0,5
-0,7
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
5
P0211
Table 2.1: Labour force characteristics by population group (concluded)
Indian/Asian
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
White
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
943
569
499
69
375
947
588
517
71
359
950
593
516
76
357
953
572
506
66
381
956
563
492
71
393
3
-9
-14
5
12
13
-6
-7
1
18
12,2
52,9
60,3
12,1
54,6
62,1
12,9
54,3
62,4
11,5
53,1
60,0
12,5
51,5
58,9
1,0
-1,6
-1,1
0,3
-1,4
-1,4
3 158
2 119
2 003
117
1 039
3 151
2 134
1 979
156
1 016
3 143
2 140
2 011
128
1 004
3 136
2 166
2 020
146
970
3 128
2 127
1 975
152
1 001
-8
-39
-45
6
31
-30
8
-28
36
-38
5,5
63,4
67,1
7,3
62,8
67,7
6,0
64,0
68,1
6,7
64,4
69,1
7,2
63,1
68,0
0,5
-1,3
-1,1
1,7
-0,3
0,9
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,3
-1,6
-2,8
7,4
3,2
1,3
-1,0
-1,4
1,8
4,9
-0,2
-1,8
-2,2
4,3
3,2
-1,0
0,4
-1,4
30,4
-3,6
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
6
P0211
Table 2.2: Labour force characteristics by population group
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
19 233
14 524
4 709
15 172
34 558
19 420
14 558
4 862
15 138
34 712
19 663
14 692
4 972
15 049
34 868
19 916
15 036
4 880
14 952
35 022
20 007
15 177
4 830
15 015
153
91
141
-50
63
617
774
653
121
-157
24,5
42,2
55,9
25,0
42,1
56,2
25,3
42,3
56,6
24,5
43,1
57,1
24,1
43,3
57,1
-0,4
0,2
0,0
-0,4
1,1
1,2
10 158
2 524
1 244
1 280
7 634
10 176
2 618
1 224
1 395
7 558
10 194
2 643
1 236
1 407
7 551
10 211
2 651
1 318
1 333
7 560
10 225
2 604
1 330
1 274
7 620
14
-47
13
-59
60
67
80
87
-6
-14
50,7
12,2
24,8
53,3
12,0
25,7
53,2
12,1
25,9
50,3
12,9
26,0
48,9
13,0
25,5
-1,4
0,1
-0,5
-1,8
0,8
0,7
9 068
6 562
4 608
1 954
2 506
9 107
6 553
4 626
1 927
2 554
9 146
6 663
4 673
1 990
2 482
9 186
6 684
4 752
1 932
2 502
9 226
6 795
4 872
1 922
2 431
40
111
121
-10
-71
157
232
264
-32
-75
29,8
50,8
72,4
29,4
50,8
72,0
29,9
51,1
72,9
28,9
51,7
72,8
28,3
52,8
73,7
-0,6
1,1
0,9
-1,5
2,0
1,3
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
0,5
0,9
-1,0
0,4
1,8
4,0
4,5
2,6
-1,0
0,1
-1,8
0,9
-4,4
0,8
0,7
3,2
7,0
-0,5
-0,2
0,4
1,7
2,5
-0,5
-2,8
1,7
3,5
5,7
-1,6
-3,0
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
7
P0211
Table 2.2: Labour force characteristics by population group (concluded)
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
7 114
5 471
4 511
960
1 643
7 163
5 530
4 534
995
1 633
7 212
5 584
4 528
1 056
1 629
7 261
5 686
4 620
1 066
1 575
7 309
5 688
4 625
1 063
1 621
48
2
5
-3
46
195
217
114
103
-22
17,5
63,4
76,9
18,0
63,3
77,2
18,9
62,8
77,4
18,7
63,6
78,3
18,7
63,3
77,8
0,0
-0,3
-0,5
1,2
-0,1
0,9
4 871
3 335
2 924
411
1 537
4 892
3 388
2 946
442
1 504
4 912
3 405
2 989
416
1 507
4 935
3 502
3 051
451
1 433
4 960
3 474
3 024
449
1 486
25
-28
-26
-2
53
88
139
100
38
-51
12,3
60,0
68,5
13,0
60,2
69,3
12,2
60,8
69,3
12,9
61,8
71,0
12,9
61,0
70,0
0,0
-0,8
-1,0
0,6
1,0
1,5
3 194
1 341
1 237
104
1 853
3 221
1 331
1 228
104
1 889
3 248
1 368
1 265
103
1 880
3 275
1 393
1 295
98
1 882
3 303
1 446
1 324
122
1 857
28
53
29
24
-26
109
105
87
18
4
7,8
38,7
42,0
7,8
38,1
41,3
7,5
38,9
42,1
7,0
39,5
42,5
8,4
40,1
43,8
1,4
0,6
1,3
0,6
1,4
1,8
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
Year-onyear
change
Thousand
Oct-Dec
2012
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,7
0,0
0,1
-0,3
2,9
2,7
4,0
2,5
10,7
-1,3
0,5
-0,8
-0,9
-0,5
3,7
1,8
4,2
3,4
9,4
-3,3
0,8
3,8
2,2
24,8
-1,4
3,4
7,8
7,0
17,0
0,2
.
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
8
P0211
Table 2.3: Labour force characteristics by province
South Africa
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
19 233
14 524
4 709
15 172
2 301
12 870
34 558
19 420
14 558
4 862
15 138
2 401
12 737
34 712
19 663
14 692
4 972
15 049
2 425
12 624
34 868
19 916
15 036
4 880
14 952
2 297
12 655
35 022
20 007
15 177
4 830
15 015
2 200
12 815
153
91
141
-50
63
-97
159
617
774
653
121
-157
-101
-56
24,5
42,2
55,9
25,0
42,1
56,2
25,3
42,3
56,6
24,5
43,1
57,1
24,1
43,3
57,1
-0,4
0,2
0,0
-0,4
1,1
1,2
4 040
2 744
2 103
641
1 296
35
1 260
4 062
2 718
2 091
627
1 345
40
1 305
4 085
2 748
2 099
648
1 337
62
1 275
4 108
2 778
2 138
641
1 329
40
1 289
4 130
2 829
2 235
593
1 302
18
1 284
23
50
98
-47
-28
-23
-5
91
85
133
-48
6
-18
24
23,4
52,0
67,9
23,1
51,5
66,9
23,6
51,4
67,3
23,1
52,0
67,6
21,0
54,1
68,5
-2,1
2,1
0,9
-2,4
2,1
0,6
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
0,5
0,9
-1,0
0,4
-4,2
1,3
1,8
4,0
4,5
2,6
-1,0
-4,4
-0,4
0,6
1,8
4,6
-7,4
-2,1
-55,9
-0,4
2,2
3,1
6,3
-7,5
0,5
-49,9
1,9
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
9
P0211
Table 2.3: Labour force characteristics by province (continued)
Eastern Cape
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
4 021
1 738
1 225
512
2 284
462
1 821
4 030
1 812
1 271
541
2 218
429
1 790
4 040
1 838
1 283
555
2 201
402
1 799
4 048
1 858
1 293
565
2 190
376
1 814
4 056
1 844
1 332
513
2 212
447
1 765
8
-14
38
-53
22
71
-49
35
106
106
29,5
30,5
43,2
29,8
31,5
45,0
30,2
31,8
45,5
30,4
31,9
45,9
27,8
32,8
45,5
-2,6
0,9
-0,4
-1,7
2,3
2,3
741
420
301
119
321
28
293
744
417
295
122
327
23
304
746
427
301
126
319
24
296
749
439
316
123
310
31
279
751
439
329
109
313
44
268
2
13
-13
3
14
-11
10
19
28
-9
-9
16
-25
28,3
40,6
56,6
29,3
39,6
56,1
29,5
40,3
57,2
27,9
42,3
58,6
24,9
43,8
58,4
-3,0
1,5
-0,2
-3,4
3,2
1,8
-71
-15
-56
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,2
-0,8
3,0
-9,3
1,0
19,0
-2,7
0,9
6,1
8,7
0,0
-3,1
-3,2
-3,1
0,3
-0,1
4,1
-10,7
0,9
45,2
-4,0
1,4
4,5
9,4
-7,9
-2,7
56,8
-8,5
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
10
P0211
Table 2.3: Labour force characteristics by province (continued)
Free State
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
KwaZulu-Natal
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
1 835
1 084
729
355
751
80
671
1 838
1 094
753
341
744
81
663
1 841
1 127
757
369
715
66
649
1 845
1 111
737
374
734
78
656
1 848
1 112
746
367
736
93
643
3
1
8
-7
2
15
-13
13
28
16
12
-15
13
-28
32,7
39,7
59,1
31,2
41,0
59,5
32,8
41,1
61,2
33,7
40,0
60,2
33,0
40,3
60,2
-0,7
0,3
0,0
0,3
0,6
1,1
6 456
3 073
2 399
674
3 383
553
2 830
6 479
3 049
2 424
625
3 430
544
2 885
6 502
3 136
2 440
696
3 366
573
2 794
6 527
3 235
2 569
666
3 291
541
2 750
6 549
3 154
2 527
627
3 395
573
2 822
22
-81
-42
-39
104
32
72
93
81
128
-47
12
20
-8
21,9
37,2
47,6
20,5
37,4
47,1
22,2
37,5
48,2
20,6
39,4
49,6
19,9
38,6
48,2
-0,7
-0,8
-1,4
-2,0
1,4
0,6
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,2
0,1
1,1
-2,0
0,3
19,2
-1,9
0,7
2,6
2,2
3,4
-2,0
15,9
-4,1
0,3
-2,5
-1,6
-5,9
3,1
5,9
2,6
1,4
2,6
5,3
-6,9
0,4
3,6
-0,3
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
11
P0211
Table 2.3: Labour force characteristics by province (continued)
North West
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Gauteng
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
2 313
1 102
847
256
1 211
221
990
2 324
1 123
828
295
1 201
216
985
2 335
1 153
845
308
1 182
246
936
2 345
1 158
851
306
1 188
237
951
2 356
1 194
869
326
1 162
236
926
11
36
17
19
-26
-1
-24
43
92
22
70
-49
15
-63
23,2
36,6
47,7
26,3
35,6
48,3
26,7
36,2
49,4
26,5
36,3
49,4
27,3
36,9
50,7
0,8
0,6
1,3
4,1
0,3
3,0
8 981
6 174
4 724
1 449
2 807
347
2 461
9 034
6 327
4 733
1 594
2 707
380
2 326
9 087
6 325
4 750
1 575
2 762
360
2 402
9 141
6 373
4 823
1 550
2 768
357
2 411
9 195
6 452
4 823
1 629
2 743
251
2 492
54
79
79
-25
-105
81
214
278
98
179
-64
-96
31
23,5
52,6
68,7
25,2
52,4
70,0
24,9
52,3
69,6
24,3
52,8
69,7
25,2
52,5
70,2
0,9
-0,3
0,5
1,7
-0,1
1,5
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,5
3,1
2,0
6,2
-2,2
-0,5
-2,6
1,9
8,3
2,6
27,3
-4,0
6,6
-6,4
0,6
1,2
0,0
5,1
-0,9
-29,6
3,4
2,4
4,5
2,1
12,4
-2,3
-27,6
1,3
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
12
P0211
Table 2.3: Labour force characteristics by province (concluded)
Mpumalanga
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
2 616
1 501
1 065
436
1 115
252
863
2 629
1 524
1 080
444
1 104
272
833
2 642
1 572
1 116
455
1 071
244
827
2 656
1 564
1 149
415
1 092
236
855
2 669
1 577
1 149
429
1 092
214
878
-22
23
54
77
84
-7
-23
-38
15
29,1
40,7
57,4
29,1
41,1
58,0
29,0
42,2
59,5
26,5
43,3
58,9
27,2
43,0
59,1
0,7
-0,3
0,2
-1,9
2,3
1,7
3 402
1 398
1 130
267
2 004
323
1 682
3 418
1 356
1 084
273
2 062
416
1 646
3 434
1 339
1 101
238
2 095
447
1 648
3 450
1 399
1 159
240
2 051
401
1 650
3 466
1 406
1 168
238
2 060
324
1 736
16
7
9
-2
9
-77
86
64
8
37
-29
56
1
54
19,1
33,2
41,1
20,1
31,7
39,7
17,8
32,0
39,0
17,2
33,6
40,5
16,9
33,7
40,6
-0,3
0,1
0,1
-2,2
0,5
-0,5
13
13
14
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,5
0,8
0,0
3,3
0,0
-9,5
2,7
2,1
5,1
7,9
-1,7
-2,1
-15,0
1,7
0,5
0,5
0,8
-0,9
0,4
-19,3
5,2
1,9
0,6
3,3
-10,9
2,8
0,4
3,2
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
13
P0211
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
22 389
14 524
10 266
2 351
718
1 189
7 866
12 016
34 558
22 790
14 558
10 242
2 334
764
1 219
8 232
11 767
34 712
22 981
14 692
10 374
2 360
742
1 215
8 289
11 731
34 868
23 111
15 036
10 709
2 323
740
1 264
8 075
11 758
35 022
22 983
15 177
10 773
2 446
713
1 244
7 807
12 038
153
-127
141
64
123
-27
-20
-268
281
617
594
653
507
95
-4
55
-59
23
35,1
42,2
65,1
36,1
42,1
65,9
36,1
42,3
66,2
34,9
43,1
66,3
34,0
43,3
65,6
-0,9
0,2
-0,7
-1,1
1,1
0,5
17 527
10 429
6 274
4 184
916
237
937
4 156
7 097
17 596
10 624
6 353
4 214
924
254
960
4 272
6 972
17 666
10 752
6 434
4 297
943
222
972
4 318
6 914
17 738
10 848
6 700
4 481
977
232
1 010
4 149
6 890
17 808
10 707
6 670
4 485
971
210
1 004
4 037
7 101
70
-141
-30
4
-6
-21
-7
-112
211
281
278
396
301
55
-27
67
-119
4
39,8
35,8
59,5
40,2
36,1
60,4
40,2
36,4
60,9
38,2
37,8
61,2
37,7
37,5
60,1
-0,5
-0,3
-1,1
-2,1
1,7
0,6
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
-0,6
0,9
0,6
5,3
-3,6
-1,6
-3,3
2,4
1,8
2,7
4,5
4,9
4,0
-0,6
4,6
-0,7
0,2
0,4
-1,3
-0,4
0,1
-0,6
-9,2
-0,7
-2,7
3,1
1,6
2,7
6,3
7,2
6,0
-11,4
7,1
-2,9
0,1
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
14
P0211
Table 2.4: Labour force characteristics by sex – Expanded definition of unemployment (concluded)
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
16 878
11 960
8 250
6 082
1 435
480
252
3 710
4 918
16 962
12 166
8 206
6 028
1 410
510
259
3 960
4 796
17 046
12 228
8 257
6 077
1 417
520
243
3 971
4 818
17 130
12 262
8 336
6 228
1 346
508
254
3 926
4 868
17 214
12 277
8 507
6 288
1 475
503
241
3 770
4 937
84
14
171
60
129
-5
-13
-156
69
335
316
257
206
40
23
-12
60
19
31,0
48,9
70,9
32,6
48,4
71,7
32,5
48,4
71,7
32,0
48,7
71,6
30,7
49,4
71,3
-1,3
0,7
-0,3
-0,3
0,5
0,4
Qtr-to-qtr
change
Per cent
0,5
0,1
2,0
1,0
9,6
-1,0
-5,1
-4,0
1,4
Year-onyear
change
Per cent
2,0
2,6
3,1
3,4
2,8
4,7
-4,6
1,6
0,4
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
15
P0211
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment
South Africa
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
BlackAfrican
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
22 389
14 524
7 866
12 016
34 558
22 790
14 558
8 232
11 767
34 712
22 981
14 692
8 289
11 731
34 868
23 111
15 036
8 075
11 758
35 022
22 983
15 177
7 807
12 038
153
-127
141
-268
281
617
594
653
-59
23
35,1
42,2
65,1
36,1
42,1
65,9
36,1
42,3
66,2
34,9
43,1
66,3
34,0
43,3
65,6
-0,9
0,2
-0,7
-1,1
1,1
0,5
27 092
17 474
10 460
7 014
9 617
27 237
17 836
10 501
7 335
9 401
27 383
17 992
10 623
7 369
9 391
27 532
18 111
10 943
7 167
9 421
27 679
18 021
11 091
6 930
9 658
147
-90
148
-237
237
587
547
631
-84
40
40,1
38,6
64,5
41,1
38,6
65,5
41,0
38,8
65,7
39,6
39,7
65,8
38,5
40,1
65,1
-1,1
0,4
-0,7
-1,6
1,5
0,6
3 212
2 153
1 562
591
1 059
3 224
2 152
1 561
590
1 072
3 236
2 187
1 541
646
1 049
3 247
2 198
1 567
632
1 049
3 259
2 212
1 619
593
1 047
11
14
52
-39
-2
47
59
57
2
-12
27,5
48,6
67,0
27,4
48,4
66,7
29,5
47,6
67,6
28,7
48,2
67,7
26,8
49,7
67,9
-1,9
1,5
0,2
-0,7
1,1
0,9
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
-0,6
0,9
-3,3
2,4
1,8
2,7
4,5
-0,7
0,2
0,5
-0,5
1,4
-3,3
2,5
2,2
3,1
6,0
-1,2
0,4
0,4
0,6
3,3
-6,1
-0,2
1,5
2,8
3,7
0,3
-1,1
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
16
P0211
Table 2.5: Labour force characteristics by population group – Expanded definition of unemployment (concluded)
Indian/Asian
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
White
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
943
602
499
103
341
947
622
517
105
325
950
618
516
102
332
953
606
506
100
347
956
594
492
102
362
3
-12
-14
2
15
13
-8
-7
-1
21
17,1
52,9
63,8
16,9
54,6
65,7
16,5
54,3
65,1
16,5
53,1
63,6
17,1
51,5
62,1
0,6
-1,6
-1,5
0,0
-1,4
-1,7
3 158
2 160
2 003
157
998
3 151
2 181
1 979
202
970
3 143
2 184
2 011
172
960
3 136
2 195
2 020
176
940
3 128
2 156
1 975
182
972
-8
-39
-45
6
31
-30
-4
-28
24
-26
7,3
63,4
68,4
9,3
62,8
69,2
7,9
64,0
69,5
8,0
64,4
70,0
8,4
63,1
68,9
0,4
-1,3
-1,1
1,1
-0,3
0,5
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,3
-2,0
-2,8
2,0
4,3
1,3
-1,4
-1,4
-1,2
6,1
-0,2
-1,8
-2,2
3,3
3,3
-1,0
-0,2
-1,4
15,5
-2,7
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
17
P0211
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment
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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
22 389
14 524
7 866
12 016
34 558
22 790
14 558
8 232
11 767
34 712
22 981
14 692
8 289
11 731
34 868
23 111
15 036
8 075
11 758
35 022
22 983
15 177
7 807
12 038
153
-127
141
-268
281
617
594
653
-59
23
35,1
42,2
65,1
36,1
42,1
65,9
36,1
42,3
66,2
34,9
43,1
66,3
34,0
43,3
65,6
-0,9
0,2
-0,7
-1,1
1,1
0,5
10 158
3 562
1 244
2 318
6 596
10 176
3 752
1 224
2 528
6 424
10 194
3 754
1 236
2 517
6 440
10 211
3 726
1 318
2 408
6 485
10 225
3 556
1 330
2 226
6 669
14
-170
13
-183
184
67
-5
87
-92
72
65,1
12,2
35,1
67,4
12,0
36,9
67,1
12,1
36,8
64,6
12,9
36,5
62,6
13,0
34,8
-2,0
0,1
-1,7
-2,5
0,8
-0,3
9 068
7 635
4 608
3 026
1 433
9 107
7 713
4 626
3 087
1 394
9 146
7 808
4 673
3 135
1 337
9 186
7 783
4 752
3 032
1 403
9 226
7 817
4 872
2 945
1 409
40
34
121
-87
6
157
182
264
-82
-25
39,6
50,8
84,2
40,0
50,8
84,7
40,1
51,1
85,4
38,9
51,7
84,7
37,7
52,8
84,7
-1,2
1,1
0,0
-1,9
2,0
0,5
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
-0,6
0,9
-3,3
2,4
1,8
2,7
4,5
-0,7
0,2
0,1
-4,6
0,9
-7,6
2,8
0,7
-0,2
7,0
-4,0
1,1
0,4
0,4
2,5
-2,9
0,4
1,7
2,4
5,7
-2,7
-1,7
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
18
P0211
Table 2.6: Labour force characteristics by age group – Expanded definition of unemployment (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
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
7 114
6 070
4 511
1 559
1 044
7 163
6 144
4 534
1 610
1 019
7 212
6 180
4 528
1 652
1 032
7 261
6 274
4 620
1 654
987
7 309
6 252
4 625
1 627
1 057
48
-22
5
-27
70
195
182
114
68
13
25,7
63,4
85,3
26,2
63,3
85,8
26,7
62,8
85,7
26,4
63,6
86,4
26,0
63,3
85,5
-0,4
-0,3
-0,9
0,3
-0,1
0,2
4 871
3 669
2 924
745
1 202
4 892
3 741
2 946
795
1 150
4 912
3 760
2 989
771
1 153
4 935
3 821
3 051
770
1 114
4 960
3 803
3 024
778
1 157
25
-18
-26
8
43
88
134
100
33
-45
20,3
60,0
75,3
21,2
60,2
76,5
20,5
60,8
76,5
20,2
61,8
77,4
20,5
61,0
76,7
0,3
-0,8
-0,7
0,2
1,0
1,4
3 194
1 454
1 237
217
1 740
3 221
1 441
1 228
213
1 780
3 248
1 479
1 265
214
1 769
3 275
1 506
1 295
211
1 769
3 303
1 556
1 324
231
1 747
28
50
29
21
-22
109
102
87
14
7
14,9
38,7
45,5
14,8
38,1
44,7
14,5
38,9
45,5
14,0
39,5
46,0
14,9
40,1
47,1
0,9
0,6
1,1
0,0
1,4
1,6
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,7
-0,4
0,1
-1,6
7,1
2,7
3,0
2,5
4,3
1,3
0,5
-0,5
-0,9
1,0
3,9
1,8
3,6
3,4
4,4
-3,8
0,8
3,3
2,2
9,9
-1,3
3,4
7,0
7,0
6,6
0,4
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
19
P0211
Table 2.7: Labour force characteristics by province – Expanded definition of unemployment
South Africa
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Western 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
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
34 405
22 389
14 524
7 866
12 016
34 558
22 790
14 558
8 232
11 767
34 712
22 981
14 692
8 289
11 731
34 868
23 111
15 036
8 075
11 758
35 022
22 983
15 177
7 807
12 038
153
-127
141
-268
281
617
594
653
-59
23
35,1
42,2
65,1
36,1
42,1
65,9
36,1
42,3
66,2
34,9
43,1
66,3
34,0
43,3
65,6
-0,9
0,2
-0,7
-1,1
1,1
0,5
4 040
2 808
2 103
706
1 232
4 062
2 803
2 091
712
1 259
4 085
2 845
2 099
746
1 239
4 108
2 862
2 138
724
1 246
4 130
2 868
2 235
633
1 262
23
6
98
-91
16
91
60
133
-73
31
25,1
52,0
69,5
25,4
51,5
69,0
26,2
51,4
69,7
25,3
52,0
69,7
22,1
54,1
69,4
-3,2
2,1
-0,3
-3,0
2,1
-0,1
4 021
2 263
1 225
1 037
1 759
4 030
2 337
1 271
1 065
1 694
4 040
2 322
1 283
1 039
1 717
4 048
2 316
1 293
1 023
1 732
4 056
2 347
1 332
1 015
1 710
8
30
38
-8
-22
35
84
106
-22
-49
45,8
30,5
56,3
45,6
31,5
58,0
44,7
31,8
57,5
44,2
31,9
57,2
43,3
32,8
57,9
-0,9
0,9
0,7
-2,5
2,3
1,6
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
0,4
-0,6
0,9
-3,3
2,4
1,8
2,7
4,5
-0,7
0,2
0,6
0,2
4,6
-12,6
1,3
2,2
2,1
6,3
-10,3
2,5
0,2
1,3
3,0
-0,8
-1,3
0,9
3,7
8,7
-2,1
-2,8
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
20
P0211
Table 2.7: Labour force characteristics by province – Expanded definition of unemployment (continued)
Northern Cape
Population 15–64 yrs
Labour force
Employed
Unemployed
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
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
KwaZulu-Natal
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
741
462
301
161
279
744
457
295
162
287
746
473
301
172
274
749
494
316
177
255
751
505
329
176
246
2
12
13
-1
-9
10
43
28
15
-33
34,9
40,6
62,3
35,5
39,6
61,5
36,3
40,3
63,3
35,9
42,3
65,9
34,8
43,8
67,2
-1,1
1,5
1,3
-0,1
3,2
4,9
1 835
1 207
729
478
628
1 838
1 229
753
476
609
1 841
1 241
757
484
600
1 845
1 246
737
508
599
1 848
1 262
746
517
586
3
17
8
8
-13
13
55
16
39
-42
39,6
39,7
65,8
38,7
41,0
66,9
39,0
41,1
67,4
40,8
40,0
67,5
40,9
40,3
68,3
0,1
0,3
0,8
1,3
0,6
2,5
6 456
3 892
2 399
1 493
2 563
6 479
3 918
2 424
1 494
2 561
6 502
4 017
2 440
1 577
2 486
6 527
4 092
2 569
1 522
2 435
6 549
3 960
2 527
1 433
2 589
22
-131
-42
-89
154
93
68
128
-60
25
38,4
37,2
60,3
38,1
37,4
60,5
39,3
37,5
61,8
37,2
39,4
62,7
36,2
38,6
60,5
-1,0
-0,8
-2,2
-2,2
1,4
0,2
Year-onyear
change
Per cent
0,3
2,3
4,1
-0,7
-3,6
1,4
9,3
9,4
9,1
-11,8
0,2
1,3
1,1
1,6
-2,2
0,7
4,6
2,2
8,2
-6,7
0,3
-3,2
-1,6
-5,8
6,3
1,4
1,8
5,3
-4,0
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 4, 2013
Statistics South Africa
21
P0211
Table 2.7: Labour force characteristics by province – Expanded definition of unemployment (continued)
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
Mpumalanga
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
2 313
1 429
847
582
884
2 324
1 432
828
604
892
2 335
1 487
845
642
847
2 345
1 483
851
632
862
2 356
1 504
869
635
852
11
21
17
4
-10
43
75
22
53
-32
40,7
36,6
61,8
42,2
35,6
61,6
43,2
36,2
63,7
42,6
36,3
63,2
42,2
36,9
63,8
-0,4
0,6
0,6
1,5
0,3
2,0
8 981
6 626
4 724
1 901
2 355
9 034
6 826
4 733
2 093
2 208
9 087
6 788
4 750
2 038
2 299
9 141
6 799
4 823
1 976
2 341
9 195
6 786
4 823
1 964
2 408
54
-13
-13
67
214
161
98
62
53
28,7
52,6
73,8
30,7
52,4
75,6
30,0
52,3
74,7
29,1
52,8
74,4
28,9
52,5
73,8
-0,2
-0,3
-0,6
0,2
-0,1
0,0
2 616
1 879
1 065
815
736
2 629
1 900
1 080
820
729
2 642
1 917
1 116
801
725
2 656
1 922
1 149
773
733
2 669
1 922
1 149
773
747
13
0
0
0
14
54
43
84
-41
11
43,4
40,7
71,9
43,2
41,1
72,3
41,8
42,2
72,6
40,2
43,3
72,4
40,2
43,0
72,0
0,0
-0,3
-0,4
-3,2
2,3
0,1
Year-onyear
change
Per cent
0,5
1,4
2,0
0,6
-1,2
1,9
5,3
2,6
9,1
-3,6
0,6
-0,2
0,0
-0,6
2,9
2,4
2,4
2,1
3,3
2,2
0,5
0,0
0,0
0,0
1,9
2,1
2,3
7,9
-5,1
1,5
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
22
P0211
Table 2.7: Labour force characteristics by province – Expanded definition of unemployment (concluded)
Limpopo
Population 15–64 yrs
Labour force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed/population ratio (absorption)
Labour force participation rate
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
3 402
1 823
1 130
692
1 579
3 418
1 889
1 084
805
1 529
3 434
1 890
1 101
789
1 544
3 450
1 897
1 159
738
1 553
3 466
1 828
1 168
660
1 638
16
-69
9
-78
84
64
5
37
-32
59
38,0
33,2
53,6
42,6
31,7
55,3
41,8
32,0
55,0
38,9
33,6
55,0
36,1
33,7
52,8
-2,8
0,1
-2,2
-1,9
0,5
-0,8
0,5
-3,6
0,8
-10,5
5,4
Year-onyear
change
Per cent
1,9
0,3
3,3
-4,6
3,7
Due to rounding, numbers do not necessarily add up to totals.
Note: Employment refers to market production activities.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
23
P0211
Table 3.1: Employed by industry and sex – South Africa
Oct-Dec
2012
Thousand
Jan-Mar
2013
Thousand
Apr-Jun
2013
Thousand
Jul-Sep
2013
Thousand
Oct-Dec
2013
Thousand
Qtr-to-qtr
change
Thousand
Year-on-year
change
Thousand
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
14 524
718
380
1 814
102
1 132
3 108
877
1 950
3 251
1 189
2
14 558
764
393
1 856
124
1 084
3 032
872
1 916
3 296
1 219
3
14 692
742
403
1 838
123
1 149
3 087
897
1 967
3 266
1 215
4
15 036
740
422
1 778
139
1 145
3 185
926
2 060
3 373
1 264
3
15 177
713
426
1 766
127
1 204
3 224
961
2 037
3 470
1 244
3
141
-27
4
-12
-13
59
40
35
-23
97
-20
653
-4
46
-48
25
72
117
84
88
219
55
1
0,9
-3,6
0,9
-0,7
-9,1
5,1
1,2
3,8
-1,1
2,9
-1,6
-1,2
4,5
-0,6
12,0
-2,7
24,1
6,4
3,7
9,6
4,5
6,7
4,6
45,1
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
6 274
237
52
588
23
143
1 483
156
800
1 852
937
1
6 353
254
52
613
36
120
1 443
166
789
1 917
960
2
6 434
222
51
595
35
132
1 501
182
795
1 947
972
2
6 700
232
55
566
35
146
1 587
195
858
2 013
1 010
1
6 670
210
57
569
35
143
1 582
165
839
2 065
1 004
2
-30
-21
1
3
-1
-3
-6
-30
-19
51
-7
1
396
-27
5
-19
12
-0,4
-9,2
2,6
0,5
-2,3
-2,2
-0,4
-15,2
-2,2
2,6
-0,7
110,7
6,3
-11,4
8,6
-3,2
50,3
-0,3
6,6
5,9
4,8
11,5
7,1
29,7
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
8 250
480
328
1 227
79
989
1 625
721
1 150
1 399
252
8 206
510
341
1 243
88
963
1 589
706
1 127
1 379
259
1
8 257
520
352
1 243
88
1 018
1 586
715
1 172
1 319
243
2
8 336
508
367
1 212
104
999
1 597
731
1 202
1 360
254
2
8 507
503
369
1 197
92
1 061
1 643
796
1 199
1 405
241
1
171
-5
2
-15
-12
62
45
65
-4
46
-13
-1
257
23
41
-29
13
72
18
75
49
6
-12
2,0
-1,0
0,6
-1,2
-11,4
6,2
2,8
8,9
-0,3
3,4
-5,1
-55,0
3,1
4,7
12,6
-2,4
16,4
7,3
1,1
10,4
4,2
0,4
-4,6
98,0
98
9
39
213
67
Qtr-to-qtr
change
Per cent
Year-on-year
change
Per cent
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
24
P0211
Table 3.2: Employed by industry and province
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Agriculture
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
718
142
58
48
62
98
32
51
106
121
764
140
87
47
88
95
37
50
104
115
742
134
86
41
65
92
36
50
113
126
740
159
73
43
66
108
42
37
99
114
713
162
67
45
70
96
42
53
77
102
-27
3
-5
2
4
-12
Mining
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
380
4
2
17
26
30
138
26
63
76
393
3
2
21
25
25
148
20
80
70
403
3
1
19
21
25
154
27
82
71
422
2
.
18
23
21
160
36
87
75
Manufacturing
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
1 814
314
163
11
71
343
66
669
105
73
1 856
329
167
12
68
348
69
686
107
71
1 838
290
165
11
64
353
66
710
103
76
1 778
286
156
10
58
352
73
674
91
78
Year-onyear
change
Thousand
16
-22
-13
-4
20
9
-3
8
-1
10
2
-29
-20
-3,6
1,8
-7,3
5,1
6,3
-10,8
-0,5
44,4
-22,7
-11,0
-0,6
13,8
15,4
-6,0
13,1
-1,4
29,8
4,9
-27,7
-16,1
426
3
1
20
25
6
163
49
89
69
4
1
.
2
3
-15
3
14
2
-6
46
-1
-1
3
-1
-24
25
24
26
-7
0,9
48,8
.
8,7
12,2
-71,7
1,8
38,8
2,5
-8,0
12,0
-16,3
-51,9
19,8
-2,0
-79,7
18,5
92,2
41,7
-9,5
1 766
318
146
9
58
345
81
654
76
78
-12
32
-10
-1
-48
5
-17
-2
-12
2
15
-15
-29
5
-0,7
11,3
-6,5
-7,7
-0,3
-1,9
11,0
-2,9
-16,5
0,3
-2,7
1,5
-10,4
-16,9
-17,7
0,5
23,2
-2,2
-27,4
7,2
-7
8
-20
-15
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 4, 2013
Statistics South Africa
25
P0211
Table 3.2: Employed by industry and province (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
Utilities
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
102
14
3
3
3
13
5
31
18
12
124
14
1
3
8
10
6
49
19
14
123
17
8
2
6
9
7
40
24
9
139
17
11
2
5
14
5
39
27
19
127
17
12
2
3
9
3
37
30
14
-13
Construction
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
1 132
160
130
19
52
213
49
327
80
103
1 084
150
126
22
54
208
42
315
77
89
1 149
164
134
22
50
232
51
303
84
109
1 145
156
149
24
53
227
54
283
92
108
Trade
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
3 108
428
269
50
148
470
158
1 067
251
267
3 032
419
260
46
135
476
154
1 054
231
257
3 087
451
269
51
141
482
154
1 045
247
246
3 185
458
280
47
142
554
147
1 034
253
269
Year-onyear
change
Per cent
1
25
3
9
-3
-5
-2
-2
3
-5
-5
-2
6
12
2
-9,1
-2,1
11,7
2,5
-51,9
-36,1
-40,8
-6,0
12,9
-26,0
24,1
18,9
343,5
-15,9
-12,5
-33,7
-45,3
19,2
64,6
20,5
1 204
163
151
23
47
221
59
310
98
132
59
7
2
-1
-6
-6
5
27
6
25
72
3
21
4
-5
8
10
-17
17
29
5,1
4,4
1,5
-3,9
-11,1
-2,7
9,4
9,7
6,2
22,9
6,4
2,1
16,5
18,9
-9,2
3,9
21,1
-5,1
21,6
28,3
3 224
496
263
51
139
567
163
1 011
265
271
40
38
-17
4
-4
12
16
-24
12
2
117
68
-6
1
-9
97
4
-56
14
4
1,2
8,2
-6,0
8,7
-2,5
2,2
10,7
-2,3
4,8
0,7
3,7
15,9
-2,2
1,4
-6,4
20,6
2,8
-5,3
5,7
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 4, 2013
Statistics South Africa
26
P0211
Table 3.2: Employed by industry and province (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
Transport
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
877
112
63
10
27
179
40
339
59
49
872
132
61
10
36
188
33
330
46
35
897
138
69
15
34
179
28
355
46
34
926
136
64
13
35
200
27
356
49
45
961
133
88
21
35
198
31
359
51
46
35
-4
24
7
Finance
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
1 950
356
104
23
65
289
89
863
90
71
1 916
354
108
24
61
301
70
843
91
63
1 967
344
101
25
58
285
71
918
102
62
2 060
350
119
26
65
280
72
971
116
61
2 037
361
108
30
70
282
63
930
134
60
Community and social services
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
3 251
455
316
88
182
549
208
999
190
263
3 296
431
326
87
191
545
205
1 022
217
272
3 266
440
336
85
220
564
205
935
215
268
3 373
453
325
101
203
590
205
972
231
294
3 470
445
378
102
213
572
192
1 057
229
284
Year-onyear
change
Per cent
84
20
25
11
7
20
-8
20
-8
-3
3,8
-2,8
37,8
57,2
-1,1
-0,7
16,1
0,9
2,8
1,0
9,6
17,9
39,6
107,8
27,7
11,0
-20,6
5,9
-13,2
-6,0
-23
11
-11
5
4
2
-9
-41
18
-1
88
5
3
7
5
-7
-26
67
45
-11
-1,1
3,2
-9,3
18,0
6,6
0,7
-12,5
-4,3
15,5
-2,2
4,5
1,3
3,3
29,7
7,4
-2,3
-29,1
7,8
49,8
-15,6
97
-8
53
2
10
-18
-13
85
-3
-10
219
-10
62
14
31
22
-16
58
38
20
2,9
-1,9
16,3
1,7
4,8
-3,0
-6,5
8,8
-1,3
-3,4
6,7
-2,3
19,5
16,0
17,2
4,1
-7,7
5,8
20,2
7,7
-1
4
3
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 4, 2013
Statistics South Africa
27
P0211
Table 3.2: Employed by industry and province (concluded)
Private households
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
1 189
117
118
32
94
216
62
353
102
95
1 219
119
132
23
87
229
64
362
107
97
1 215
117
114
30
97
219
72
366
101
100
1 264
120
118
33
86
223
66
419
102
96
1 244
139
118
26
86
231
72
360
100
112
-20
19
55
22
-7
-6
-7
15
10
7
-3
17
8
6
-59
-3
16
-1,6
15,7
0,1
-21,4
0,1
3,5
8,8
-14,0
-2,8
17,0
Year-onyear
change
Per cent
4,6
18,7
0,2
-18,6
-8,0
6,9
16,1
2,1
-2,7
17,9
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 4, 2013
Statistics South Africa
28
P0211
Table 3.3: Employed by sector and industry – South Africa
Year-onyear
change
Thousand
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
14 524
12 617
380
1 814
102
1 132
3 108
877
1 950
3 251
2
14 558
12 575
393
1 856
124
1 084
3 032
872
1 916
3 296
3
14 692
12 734
403
1 838
123
1 149
3 087
897
1 967
3 266
4
15 036
13 032
422
1 778
139
1 145
3 185
926
2 060
3 373
3
15 177
13 219
426
1 766
127
1 204
3 224
961
2 037
3 470
3
141
187
4
-12
-13
59
40
35
-23
97
0
653
602
46
-48
25
72
117
84
88
219
1
0,9
1,4
0,9
-0,7
-9,1
5,1
1,2
3,8
-1,1
2,9
-1,2
4,5
4,8
12,0
-2,7
24,1
6,4
3,7
9,6
4,5
6,7
45,1
10 266
377
1 615
100
788
2 018
656
1 801
2 910
2
10 242
392
1 619
123
776
2 004
650
1 754
2 920
3
10 374
401
1 618
121
795
2 029
678
1 816
2 912
3
10 709
420
1 578
138
813
2 137
709
1 899
3 013
3
10 773
422
1 538
126
820
2 192
715
1 879
3 079
3
64
2
-39
-13
7
55
6
-20
66
0
507
46
-77
25
32
174
59
78
169
1
0,6
0,6
-2,5
-9,3
0,9
2,6
0,8
-1,1
2,2
-1,2
4,9
12,1
-4,7
25,0
4,0
8,6
8,9
4,3
5,8
45,1
Informal sector (Non-agricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
2 351
4
200
2
344
1 090
221
149
341
2 334
1
237
1
307
1 028
222
162
376
2 360
2
220
1
354
1 058
219
151
354
1
2 323
2
201
1
333
1 048
217
161
360
2 446
4
228
1
384
1 032
246
159
391
123
1
27
95
52
-15
29
-3
31
28
-1
40
-58
25
9
50
5,3
63,8
13,6
13,2
15,6
-1,5
13,5
-1,6
8,6
4,0
3,8
14,2
-31,4
11,7
-5,3
11,5
6,2
14,6
Agriculture
Private households
718
1 189
764
1 219
742
1 215
740
1 264
713
1 244
-27
-20
-4
55
-3,6
-1,6
-0,6
4,6
Total employed
Formal and informal sector (non-agricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
Formal sector (non-agricultural)
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Other
Qtr-to-qtr
change
Year-onyear
change
Per cent
Oct-Dec
2012
Per cent
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 4, 2013
Statistics South Africa
29
P0211
Table 3.4: Employed by province and sector
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
Qtr-to-qtr
change
Year-onyear change
Per cent
Per cent
South Africa
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
14 524
10 266
2 351
718
1 189
14 558
10 242
2 334
764
1 219
14 692
10 374
2 360
742
1 215
15 036
10 709
2 323
740
1 264
15 177
10 773
2 446
713
1 244
141
64
123
-27
-20
653
507
95
-4
55
0,9
0,6
5,3
-3,6
-1,6
4,5
4,9
4,0
-0,6
4,6
Western Cape
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
2 103
1 636
208
142
117
2 091
1 610
222
140
119
2 099
1 638
210
134
117
2 138
1 647
212
159
120
2 235
1 739
196
162
139
98
92
-15
3
19
133
103
-12
20
22
4,6
5,6
-7,3
1,8
15,7
6,3
6,3
-5,7
13,8
18,7
Eastern Cape
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 225
795
254
58
118
1 271
779
272
87
132
1 283
788
295
86
114
1 293
833
270
73
118
1 332
843
304
67
118
38
10
34
-5
0
106
48
49
9
0
3,0
1,2
12,5
-7,3
0,1
8,7
6,0
19,4
15,4
0,2
Northern Cape
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
301
186
34
48
32
295
204
21
47
23
301
204
26
41
30
316
209
31
43
33
329
223
35
45
26
13
14
4
2
-7
28
36
1
-3
-6
4,1
6,6
13,1
5,1
-21,4
9,4
19,6
2,0
-6,0
-18,6
Free State
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
729
460
114
62
94
753
469
109
88
87
757
480
116
65
97
737
479
106
66
86
746
493
96
70
86
8
14
-10
4
0
16
33
-18
8
-7
1,1
2,9
-9,3
6,3
0,1
2,2
7,3
-15,8
13,1
-8,0
KwaZulu-Natal
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
2 399
1 709
376
98
216
2 424
1 717
383
95
229
2 440
1 720
409
92
219
2 569
1 798
440
108
223
2 527
1 766
434
96
231
-42
-32
-6
-12
8
128
57
57
-1
15
-1,6
-1,8
-1,4
-10,8
3,5
5,3
3,3
15,2
-1,4
6,9
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 4, 2013
Statistics South Africa
30
P0211
Table 3.4: Employed by province and sector (concluded)
Year-onyear
change
Per cent
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
North West
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
847
633
120
32
62
828
606
121
37
64
845
629
109
36
72
851
629
114
42
66
869
628
127
42
72
17
-1
13
0
6
22
-5
7
10
10
2,0
-0,2
11,3
-0,5
8,8
2,6
-0,8
5,9
29,8
16,1
Gauteng
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
4 724
3 661
659
51
353
4 733
3 678
644
50
362
4 750
3 677
657
50
366
4 823
3 792
576
37
419
4 823
3 758
651
53
360
-33
75
16
-59
98
97
-8
2
7
0,0
-0,9
13,1
44,4
-14,0
2,1
2,6
-1,2
4,9
2,1
Mpumalanga
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 065
601
255
106
102
1 080
621
248
104
107
1 116
663
240
113
101
1 149
702
246
99
102
1 149
709
264
77
100
0
7
18
-22
-3
84
107
9
-29
-3
0,0
1,0
7,4
-22,7
-2,8
7,9
17,9
3,4
-27,7
-2,7
Limpopo
Formal sector (non-agricultural)
Informal sector (non-agricultural)
Agriculture
Private households
1 130
584
330
121
95
1 084
557
315
115
97
1 101
576
298
126
100
1 159
620
329
114
96
1 168
614
339
102
112
9
-6
11
-13
16
37
30
10
-20
17
0,8
-0,9
3,2
-11,0
17,0
3,3
5,1
2,9
-16,1
17,9
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 4, 2013
Statistics South Africa
31
P0211
Table 3.5: Employed by sex and occupation – South Africa
Year-onyear
change
Thousand
Qtr-to-qtr
change
Year-onyear
change
Per cent
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Both sexes
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
14 524
1 152
861
1 609
1 546
2 123
63
1 773
1 222
3 216
958
14 558
1 200
935
1 611
1 531
2 075
74
1 674
1 312
3 176
971
14 692
1 230
917
1 665
1 575
2 096
63
1 708
1 291
3 149
997
15 036
1 235
957
1 666
1 696
2 181
67
1 690
1 244
3 271
1 030
15 177
1 230
893
1 637
1 624
2 298
75
1 847
1 251
3 310
1 012
141
-4
-64
-29
-72
116
8
157
7
39
-18
653
78
32
29
78
175
12
74
29
94
54
0,9
-0,3
-6,7
-1,7
-4,2
5,3
12,7
9,3
0,5
1,2
-1,8
4,5
6,8
3,7
1,8
5,0
8,2
18,9
4,2
2,4
2,9
5,6
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
6 274
353
370
891
1 078
951
26
196
151
1 334
924
6 353
354
400
880
1 075
997
24
185
175
1 321
941
6 434
378
377
933
1 102
997
17
182
174
1 319
954
6 700
374
423
923
1 219
1 032
23
188
156
1 375
988
6 670
373
412
911
1 140
1 100
21
230
158
1 345
979
-30
-1
-11
-12
-79
67
-2
43
2
-29
-9
396
20
42
20
63
148
-5
34
6
11
56
-0,4
-0,1
-2,5
-1,3
-6,5
6,5
-7,7
22,7
1,2
-2,1
-0,9
6,3
5,8
11,4
2,3
5,8
15,6
-18,1
17,2
4,3
0,8
6,0
Men
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
8 250
800
491
718
469
1 172
38
1 577
1 071
1 882
34
8 206
846
535
730
455
1 078
51
1 489
1 137
1 854
30
8 257
852
539
732
473
1 099
46
1 526
1 117
1 830
43
8 336
861
534
743
477
1 149
44
1 502
1 088
1 896
42
8 507
857
481
727
483
1 198
54
1 617
1 093
1 965
32
171
-4
-53
-17
7
49
10
114
5
68
-9
257
58
-11
9
15
26
17
40
22
83
-2
2,0
-0,4
-10,0
-2,2
1,4
4,3
23,3
7,6
0,4
3,6
-22,6
3,1
7,2
-2,2
1,2
3,2
2,2
44,0
2,5
2,1
4,4
-5,4
Per cent
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 4, 2013
Statistics South Africa
32
P0211
Table 3.6: Employed by sex and status in employment – South Africa
Year-onyear
change
Thousand
Qtr-to-qtr
change
Year-onyear
change
Per cent
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Both sexes
Employee
Employer
Own-account worker
Unpaid household member
14 524
12 313
745
1 381
86
14 558
12 325
801
1 347
84
14 692
12 489
800
1 313
89
15 036
12 997
698
1 244
97
15 177
13 036
780
1 256
104
141
40
82
13
6
653
724
36
-125
18
0,9
0,3
11,8
1,0
6,6
4,5
5,9
4,8
-9,0
20,9
Women
Employee
Employer
Own-account worker
Unpaid household member
6 274
5 461
146
614
53
6 353
5 543
156
595
59
6 434
5 607
167
603
57
6 700
5 868
164
600
68
6 670
5 840
175
585
70
-30
-28
11
-15
2
396
379
29
-28
17
-0,4
-0,5
6,7
-2,4
2,4
6,3
6,9
19,7
-4,6
31,8
Men
Employee
Employer
Own-account worker
Unpaid household member
8 250
6 851
598
767
33
8 206
6 783
645
753
25
8 257
6 882
634
710
32
8 336
7 129
534
644
29
8 507
7 196
605
671
34
171
67
71
27
5
257
345
7
-96
1
2,0
0,9
13,3
4,2
16,0
3,1
5,0
1,2
-12,6
3,4
Per cent
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 4, 2013
Statistics South Africa
33
P0211
Table 3.7: Employed by sex and usual hours of work -–South Africa
Year-onyear
change
Per cent
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
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
14 524
270
870
1 008
7 928
4 448
14 558
269
867
1 016
8 142
4 265
14 692
271
891
1 089
8 041
4 399
15 036
324
953
1 114
8 250
4 393
15 177
326
944
1 101
8 386
4 418
141
2
-9
-13
136
26
653
56
74
93
458
-30
0,9
0,5
-1,0
-1,2
1,6
0,6
4,5
20,7
8,5
9,2
5,8
-0,7
Women
Working less than 15 hours per week
Working 15–29 hours per week
Working 30–39 hours per week
Working 40–45 hours per week
Working more than 45 hours per week
6 274
188
571
650
3 339
1 526
6 353
186
568
645
3 493
1 461
6 434
183
565
695
3 461
1 529
6 700
219
642
720
3 554
1 565
6 670
192
597
693
3 692
1 496
-30
-27
-45
-27
138
-69
396
4
26
43
353
-30
-0,4
-12,2
-7,0
-3,8
3,9
-4,4
6,3
2,2
4,6
6,6
10,6
-2,0
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
8 250
82
299
358
4 589
2 922
8 206
83
299
371
4 649
2 804
8 257
88
326
394
4 580
2 870
8 336
106
312
394
4 696
2 828
8 507
134
347
408
4 694
2 923
171
28
35
14
-2
95
257
52
48
50
105
1
2,0
26,7
11,4
3,6
0,0
3,4
3,1
62,8
16,0
13,9
2,3
0,0
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 4, 2013
Statistics South Africa
34
P0211
Table 3.8: Conditions of employment – South Africa
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
12 313
6 030
6 082
201
12 325
6 021
6 067
237
12 489
6 067
6 192
231
12 997
6 139
6 637
221
13 036
6 187
6 612
237
40
48
-25
16
724
157
531
36
0,3
0,8
-0,4
7,3
5,9
2,6
8,7
18,1
Women
Yes
No
Don't know
5 461
2 485
2 888
88
5 543
2 508
2 936
99
5 607
2 516
2 981
111
5 868
2 566
3 201
101
5 840
2 565
3 166
109
-28
-1
-34
8
379
79
278
21
-0,5
-0,1
-1,1
7,7
6,9
3,2
9,6
23,9
Men
Yes
No
Don't know
6 851
3 545
3 194
113
6 783
3 514
3 131
138
6 882
3 551
3 211
120
7 129
3 572
3 437
120
7 196
3 622
3 446
128
67
50
9
8
345
77
252
15
0,9
1,4
0,3
7,0
5,0
2,2
7,9
13,6
12 313
7 670
4 486
156
12 325
7 923
4 256
147
12 489
7 961
4 357
171
12 997
8 198
4 659
139
13 036
8 107
4 761
168
40
-92
102
29
724
437
275
12
0,3
-1,1
2,2
20,8
5,9
5,7
6,1
7,9
Women
Yes
No
Don't know
5 461
3 316
2 079
66
5 543
3 407
2 078
58
5 607
3 497
2 037
73
5 868
3 591
2 215
62
5 840
3 538
2 230
72
-28
-53
15
10
379
221
151
6
-0,5
-1,5
0,7
16,6
6,9
6,7
7,3
9,5
Men
Yes
No
Don't know
6 851
4 354
2 408
90
6 783
4 516
2 178
89
6 882
4 465
2 320
98
7 129
4 608
2 444
77
7 196
4 569
2 532
96
67
-39
88
19
345
215
124
6
0,9
-0,8
3,6
24,2
5,0
4,9
5,1
6,7
Pension/retirement fund contribution
Both sexes
Yes
No
Don't know
Entitled to any paid leave
Both sexes
Yes
No
Don't know
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
35
P0211
Table 3.8: Conditions of employment – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
12 313
8 430
3 882
12 325
8 544
3 782
12 489
8 620
3 869
12 997
8 779
4 218
13 036
8 805
4 232
40
26
14
724
374
349
0,3
0,3
0,3
5,9
4,4
9,0
Women
Yes
No
5 461
3 643
1 818
5 543
3 706
1 837
5 607
3 799
1 808
5 868
3 857
2 011
5 840
3 882
1 958
-28
25
-53
379
239
140
-0,5
0,6
-2,6
6,9
6,6
7,7
Men
Yes
No
6 851
4 788
2 064
6 783
4 838
1 944
6 882
4 821
2 061
7 129
4 922
2 207
7 196
4 923
2 274
67
1
67
345
135
210
0,9
0,0
3,0
5,0
2,8
10,2
12 313
6 432
5 880
12 325
6 553
5 773
12 489
6 617
5 872
12 997
6 804
6 193
13 036
6 783
6 253
40
-20
60
724
351
373
0,3
-0,3
1,0
5,9
5,5
6,3
Women
Yes
No
5 461
2 969
2 492
5 543
3 035
2 507
5 607
3 105
2 502
5 868
3 135
2 732
5 840
3 126
2 714
-28
-10
-18
379
157
222
-0,5
-0,3
-0,7
6,9
5,3
8,9
Men
Yes
No
6 851
3 463
3 388
6 783
3 517
3 265
6 882
3 512
3 370
7 129
3 668
3 461
7 196
3 658
3 539
67
-11
78
345
194
151
0,9
-0,3
2,3
5,0
5,6
4,5
Entitled to paid sick leave
Both sexes
Yes
No
Entitled to maternity/paternity leave
Both sexes
Yes
No
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
36
P0211
Table 3.8: Conditions of employment – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
12 313
7 564
4 554
194
12 325
7 594
4 514
218
12 489
7 777
4 498
215
12 997
7 960
4 806
231
13 036
7 931
4 890
216
40
-29
84
-15
724
367
336
21
0,3
-0,4
1,8
-6,7
5,9
4,9
7,4
10,9
Women
Yes
No
Don't know
5 461
3 158
2 211
92
5 543
3 140
2 286
116
5 607
3 194
2 305
108
5 868
3 317
2 438
113
5 840
3 259
2 476
105
-28
-59
38
-7
379
100
265
14
-0,5
-1,8
1,6
-6,5
6,9
3,2
12,0
14,9
Men
Yes
No
Don't know
6 851
4 406
2 343
103
6 783
4 454
2 227
102
6 882
4 583
2 193
107
7 129
4 643
2 368
119
7 196
4 672
2 414
110
67
29
46
-8
345
266
71
7
0,9
0,6
2,0
-6,9
5,0
6,0
3,0
7,2
12 313
3 970
8 222
120
12 325
3 983
8 216
127
12 489
3 960
8 381
149
12 997
4 111
8 755
130
13 036
4 026
8 883
128
40
-86
128
-3
724
56
661
8
0,3
-2,1
1,5
-2,0
5,9
1,4
8,0
6,3
Women
Yes
No
Don't know
5 461
1 705
3 700
56
5 543
1 701
3 783
59
5 607
1 707
3 827
73
5 868
1 761
4 049
57
5 840
1 721
4 058
61
-28
-41
9
4
379
16
358
5
-0,5
-2,3
0,2
7,4
6,9
0,9
9,7
8,6
Men
Yes
No
Don't know
6 851
2 265
4 522
64
6 783
2 282
4 432
69
6 882
2 253
4 554
75
7 129
2 350
4 706
73
7 196
2 305
4 825
67
67
-45
120
-7
345
40
303
3
0,9
-1,9
2,5
-9,4
5,0
1,7
6,7
4,2
UIF contribution
Both sexes
Yes
No
Don't know
Medical aid benefits
Both sexes
Yes
No
Don't know
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
37
P0211
Table 3.8: Conditions of employment – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
12 313
6 925
5 175
212
12 325
6 979
5 132
215
12 489
6 977
5 268
244
12 997
7 204
5 565
227
13 036
7 236
5 578
222
40
32
13
-6
724
311
403
10
0,3
0,4
0,2
-2,5
5,9
4,5
7,8
4,7
Women
Yes
No
Don't know
5 461
2 856
2 525
79
5 543
2 905
2 548
90
5 607
2 917
2 591
99
5 868
3 045
2 737
86
5 840
3 026
2 726
88
-28
-19
-11
3
379
169
201
9
-0,5
-0,6
-0,4
2,9
6,9
5,9
7,9
11,5
Men
Yes
No
Don't know
6 851
4 069
2 650
133
6 783
4 074
2 585
124
6 882
4 060
2 677
145
7 129
4 159
2 829
142
7 196
4 211
2 852
133
67
52
24
-8
345
142
202
1
0,9
1,2
0,8
-5,7
5,0
3,5
7,6
0,7
12 313
9 854
2 459
12 325
9 946
2 379
12 489
10 060
2 430
12 997
10 420
2 577
13 036
10 466
2 570
40
46
-6
724
612
112
0,3
0,4
-0,2
5,9
6,2
4,5
Women
Written contract
Verbal agreement
5 461
4 308
1 153
5 543
4 360
1 183
5 607
4 433
1 174
5 868
4 629
1 239
5 840
4 616
1 224
-28
-13
-14
379
308
71
-0,5
-0,3
-1,2
6,9
7,1
6,2
Men
Written contract
Verbal agreement
6 851
5 546
1 306
6 783
5 586
1 197
6 882
5 627
1 256
7 129
5 791
1 338
7 196
5 850
1 346
67
59
8
345
304
41
0,9
1,0
0,6
5,0
5,5
3,1
Income tax (PAYE/SITE) deduction
Both sexes
Yes
No
Don't know
Condition of employment
Both sexes
Written contract
Verbal agreement
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
38
P0211
Table 3.8: Conditions of employment – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
Nature of contract/agreement
Both sexes
Limited duration
Permanent nature
Unspecified duration
12313
1 631
7 922
2 760
12325
1 655
7 920
2 750
12489
1 700
7 932
2 857
12997
1 848
8 141
3 008
13036
1 975
8 046
3 015
39
127
-95
7
723
344
124
255
0,3
6,9
-1,2
0,2
5,9
21,1
1,6
9,2
Women
Limited duration
Permanent nature
Unspecified duration
5 461
754
3 382
1 325
5 543
782
3 430
1 331
5 607
754
3 481
1 371
5 868
849
3 589
1 429
5 840
906
3 491
1 443
-28
57
-98
14
379
152
109
118
-0,5
6,7
-2,7
1,0
6,9
20,2
3,2
8,9
Men
Limited duration
Permanent nature
Unspecified duration
6 851
878
4 539
1 435
6 783
873
4 491
1 419
6 882
946
4 451
1 486
7 129
999
4 552
1 579
7 196
1 069
4 555
1 572
67
70
3
-7
345
191
16
137
0,9
7,0
0,1
-0,4
5,0
21,8
0,4
9,5
12 313
3 682
8 341
289
12 325
3 661
8 345
320
12 489
3 559
8 607
323
12 997
3 651
9 002
343
13 036
3 728
8 950
358
39
77
-52
15
723
46
609
69
0,3
2,1
-0,6
4,4
5,9
1,2
7,3
23,9
Women
Yes
No
Don't know
5 461
1 505
3 841
116
5 543
1 498
3 921
124
5 607
1 470
4 014
124
5 868
1 501
4 237
129
5 840
1 522
4 178
140
-28
21
-59
11
379
17
337
24
-0,5
1,4
-1,4
8,5
6,9
1,1
8,8
20,7
Men
Yes
No
Don't know
6 851
2 178
4 501
173
6 783
2 163
4 423
196
6 882
2 089
4 594
199
7 129
2 150
4 765
214
7 196
2 206
4 772
218
67
56
7
4
345
28
271
45
0,9
2,6
0,1
1,9
5,0
1,3
6,0
26,0
Trade union membership
Both sexes
Yes
No
Don't know
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
39
P0211
Table 3.8: Conditions of employment – South Africa (concluded)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
12 313
1 420
2 837
1 132
6 273
591
59
12 325
1 251
2 776
1 141
6 384
697
77
12 489
1 277
2 720
1 096
6 717
619
59
12 997
1 284
2 797
1 123
7 075
656
62
13 036
1 294
2 884
1 073
7 019
705
61
39
10
87
-50
-56
49
-1
723
-126
47
-59
746
114
2
0,3
0,8
3,1
-4,5
-0,8
7,5
-1,6
5,9
-8,9
1,7
-5,2
11,9
19,3
3,4
Women
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
5 461
607
1 092
527
2 946
267
22
5 543
536
1 056
558
3 013
353
28
5 607
535
1 036
561
3 176
280
19
5 868
547
1 065
573
3 366
294
22
5 840
577
1 098
546
3 278
316
25
-28
30
33
-27
-88
22
3
379
-30
6
19
332
49
3
-0,5
5,5
3,1
-4,7
-2,6
7,5
13,6
6,9
-4,9
0,5
3,6
11,3
18,4
13,6
Men
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
6 851
814
1 745
606
3 327
323
37
6 783
715
1 720
583
3 372
344
49
6 882
742
1 684
535
3 541
340
41
7 129
737
1 732
550
3 709
362
40
7 196
717
1 786
528
3 741
389
36
67
-20
54
-22
32
27
-4
345
-97
41
-78
414
66
-1
0,9
-2,7
3,1
-4,0
0,9
7,5
-10,0
5,0
-11,9
2,3
-12,9
12,4
20,4
-2,7
How annual salary increment is negotiated
Both sexes
Individual and employer
Union and employer
Bargaining council
Employer only
No regular increment
Other
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
40
P0211
Table 3.9: Time-related underemployment – South Africa
Year-onyear
change
Thousand
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Both sexes
Women
Men
604
364
239
573
367
206
603
368
236
656
412
245
626
364
262
-30
-48
18
22
-1
23
As percentage of the labour force (both sexes)
Women
Men
3,1
4,2
2,3
3,0
4,2
1,9
3,1
4,1
2,2
3,3
4,5
2,3
3,1
4,0
2,4
-0,2
-0,5
0,1
0,0
-0,2
0,1
As percentage of total employment (both sexes)
Women
Men
4,2
5,8
2,9
3,9
5,8
2,5
4,1
5,7
2,9
4,4
6,1
2,9
4,1
5,5
3,1
-0,3
-0,6
0,2
-0,1
-0,3
0,2
Industry
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
604
15
0
28
573
9
603
9
656
18
31
33
26
626
18
2
31
-30
1
.
5
83
100
11
43
96
227
62
94
17
36
108
215
61
101
26
30
129
214
68
113
26
37
139
230
63
106
31
50
130
195
Occupation
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
604
13
7
43
14
65
4
63
10
207
177
573
11
5
29
21
60
2
55
22
204
162
603
13
8
36
25
53
4
56
20
233
155
656
14
14
33
24
64
4
65
18
241
177
626
18
15
28
25
68
6
75
19
233
139
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
-5
-12
7
4
0
10
22
3
1
3
-5
3
.
21
4
21
244
10
-5
-6
4
13
-9
-35
-20
6
19
7
34
-32
-7
-6
16
34
-6
-15
-24
6
173
17
35
-14
-30
4
1
-5
1
4
2
11
0
-8
-38
22
5
8
-15
11
3
2
12
8
26
-38
-5
25
4
-16
3
6
45
16
2
-4
-22
4
35
121
-35
79
4
40
20
83
13
-21
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 4, 2013
Statistics South Africa
41
P0211
Table 4: Characteristics of the unemployed – South Africa
Qtr-toqtr
change
Per cent
Year-onyear
change
Per cent
121
119
33
-64
38
-5
-1,0
-0,8
5,0
1,5
-1,3
-9,2
2,6
8,4
11,1
-3,2
19,1
-0,7
-50
13
-63
121
-4
125
-1,0
0,4
-3,8
2,6
-0,1
8,3
16,0
66,4
0,0
0,9
-0,7
-1,8
2 114
59
49
134
262
324
4
328
172
615
167
1
1
7
5
-3
-24
39
-1
16
-6
-26
-7
190
12
5
34
25
33
1
11
23
40
6
0,0
14,4
12,0
-2,5
-8,4
13,5
-21,3
5,0
-3,6
-4,0
-4,0
9,9
25,3
11,1
34,1
10,7
11,5
31,8
3,4
15,4
7,0
3,9
-10,0
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Unemployed
Job losers
Job leavers
New entrants
Re-entrants
Other
4 709
1 426
299
2 002
199
784
4 862
1 502
306
2 070
191
792
4 972
1 524
284
2 150
192
822
4 880
1 557
316
1 910
240
858
4 830
1 545
332
1 938
237
779
-50
-12
16
28
-3
-79
Unemployed
Long-term unemployment (1 year and more)
Short-term unemployment (less than 1 year)
4 709
3 212
1 498
4 862
3 185
1 677
4 972
3 319
1 653
4 880
3 194
1 686
4 830
3 207
1 623
16,7
68,2
16,4
65,5
16,9
66,7
16,0
65,5
1 923
47
44
100
237
290
3
317
149
575
160
1
2 000
52
31
109
242
316
9
330
173
578
158
2 000
53
36
111
282
301
3
289
165
614
144
2
2 113
51
44
137
286
285
5
312
178
641
173
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
Other
Year-onyear
change
Thousand
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 4, 2013
Statistics South Africa
42
P0211
Table 4: Characteristics of the unemployed – South Africa (concluded)
Previous industry
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
Other
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
1 923
97
27
225
11
328
454
96
250
228
205
2
2 000
98
42
245
23
312
472
96
267
224
220
2 000
110
31
235
19
301
489
108
271
239
194
2
2 113
90
34
271
14
320
522
119
287
247
208
1
2 114
79
39
274
7
314
506
111
301
271
211
2
1
-11
5
3
-7
-6
-16
-8
14
24
3
0
190
-18
13
49
-4
-14
51
15
50
42
5
0
Qtr-toqtr
change
Per
cent
Yearon-year
change
Per
cent
0,0
-12,2
14,4
1,2
-48,7
-1,9
-3,1
-6,9
4,8
9,6
1,4
7,1
9,9
-18,8
47,2
22,0
-34,9
-4,3
11,3
16,0
20,1
18,4
2,6
0,1
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 4, 2013
Statistics South Africa
43
P0211
Table 5: Characteristics of the not economically active – South Africa
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-on-year
change
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Per cent
15 172
6 186
2 895
1 759
1 211
2 301
820
15 138
5 966
2 983
1 682
1 238
2 401
867
15 049
6 065
2 764
1 731
1 220
2 425
844
14 952
6 166
2 797
1 723
1 209
2 297
760
15 015
6 249
2 863
1 734
1 204
2 200
765
63
83
66
11
-5
-97
5
-157
63
-32
-25
-7
-101
-55
Inactivity rate by age (both sexes)
15–24 yrs
25–54 yrs
55–64 yrs
44,1
75,2
27,0
58,0
43,8
74,3
26,9
58,7
43,4
74,1
26,4
57,9
42,9
74,0
25,8
57,5
42,9
74,5
25,8
56,2
0,0
0,5
0,0
-1,3
-1,2
-0,7
-1,2
-1,8
Inactivity rate by age (women)
15–24 yrs
25–54 yrs
55–64 yrs
50,9
77,5
35,8
67,0
50,7
76,0
36,0
67,8
49,7
76,1
34,7
66,4
48,8
76,1
33,2
66,1
49,2
77,2
33,6
64,9
0,4
1,1
0,4
-1,2
-1,7
-0,3
-2,2
-2,1
Inactivity rate by age (men)
15–24 yrs
25–54 yrs
55–64 yrs
37,0
72,9
17,8
47,1
36,7
72,5
17,5
47,7
36,7
72,0
17,9
47,6
36,7
72,0
18,1
47,0
36,3
71,9
17,7
45,7
-0,4
-0,1
-0,4
-1,3
-0,7
-1,0
-0,1
-1,4
Not economically active
Student
Home-maker
Illness/disability
Too old/young to work
Discouraged work seekers
Other
0,4
1,3
2,4
0,6
-0,4
-4,2
0,6
Year-onyear
change
Per cent
-1,0
1,0
-1,1
-1,4
-0,6
-4,4
-6,7
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
44
P0211
Table 6: Socio-demographic characteristics – South Africa
Qtr-toqtr
change
Per cent
Year-onyear
change
Per cent
653
87
264
114
100
87
0,9
0,9
2,5
0,1
-0,9
2,2
4,5
7,0
5,7
2,5
3,4
7,0
-50
-59
-10
-3
-2
24
121
-6
-32
103
38
18
-1,0
-4,4
-0,5
-0,3
-0,5
24,8
2,6
-0,5
-1,6
10,7
9,4
17,0
15 015
7 620
2 431
1 621
1 486
1 857
63
60
-71
46
53
-26
-157
-14
-75
-22
-51
4
0,4
0,8
-2,8
2,9
3,7
-1,4
-1,0
-0,2
-3,0
-1,3
-3,3
0,2
15 177
368
1 186
634
5 091
4 735
3 008
155
141
-36
20
-8
173
134
-163
22
653
-1
75
1
149
235
181
13
0,9
-9,0
1,7
-1,3
3,5
2,9
-5,1
16,6
4,5
-0,3
6,7
0,2
3,0
5,2
6,4
9,1
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
14 524
1 244
4 608
4 511
2 924
1 237
14 558
1 224
4 626
4 534
2 946
1 228
14 692
1 236
4 673
4 528
2 989
1 265
15 036
1 318
4 752
4 620
3 051
1 295
15 177
1 330
4 872
4 625
3 024
1 324
141
13
121
5
-26
29
4 709
1 280
1 954
960
411
104
4 862
1 395
1 927
995
442
104
4 972
1 407
1 990
1 056
416
103
4 880
1 333
1 932
1 066
451
98
4 830
1 274
1 922
1 063
449
122
Age group of the not economically active
15–24 yrs
25–34 yrs
35–44 yrs
45–54 yrs
55–64 yrs
15 172
7 634
2 506
1 643
1 537
1 853
15 138
7 558
2 554
1 633
1 504
1 889
15 049
7 551
2 482
1 629
1 507
1 880
14 952
7 560
2 502
1 575
1 433
1 882
Highest level of education of the employed
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
14 524
369
1 112
633
4 942
4 500
2 827
142
14 558
352
1 095
640
4 982
4 404
2 942
144
14 692
376
1 123
641
4 868
4 481
3 042
159
15 036
404
1 167
643
4 918
4 601
3 171
133
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
Year-onyear
change
Thousand
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
45
P0211
Table 6: Socio-demographic characteristics – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
4 709
70
336
211
2 264
1 512
297
20
4 862
75
304
184
2 320
1 636
313
30
4 972
73
326
217
2 360
1 636
329
31
4 880
73
303
203
2 332
1 599
349
21
4 830
82
272
178
2 304
1 628
341
26
-50
9
-32
-25
-27
28
-8
4
121
12
-64
-33
40
116
44
6
-1,0
12,5
-10,5
-12,2
-1,2
1,8
-2,2
19,8
2,6
16,7
-19,2
-15,5
1,8
7,7
14,9
27,9
Highest level of education of the not
economically active
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
15 172
807
1 837
1 080
8 240
2 634
469
104
15 138
784
1 714
979
8 152
2 929
464
116
15 049
785
1 741
992
8 124
2 808
495
104
14 952
727
1 689
1 051
8 136
2 759
488
102
15 015
757
1 747
1 011
8 271
2 619
492
118
63
30
57
-40
135
-140
4
16
-157
-50
-91
-69
31
-15
23
14
0,4
4,1
3,4
-3,8
1,7
-5,1
0,8
16,0
-1,0
-6,2
-4,9
-6,4
0,4
-0,6
4,8
13,2
Employed
Attending educational institution
Not attending educational institution
14 524
329
14 195
14 558
303
14 255
14 692
369
14 322
15 036
369
14 666
15 177
359
14 818
141
-10
151
653
30
623
0,9
-2,8
1,0
4,5
9,1
4,4
Unemployed
Attending educational institution
Not attending educational institution
4 709
95
4 615
4 862
107
4 755
4 972
92
4 880
4 880
104
4 776
4 830
105
4 725
-50
1
-51
121
10
111
-1,0
0,8
-1,1
2,6
10,6
2,4
Not economically active
Attending educational institution
Not attending educational institution
15 172
5 953
9 219
15 138
5 780
9 358
15 049
5 873
9 176
14 952
5 972
8 981
15 015
6 098
8 917
63
126
-63
-157
144
-301
0,4
2,1
-0,7
-1,0
2,4
-3,3
Highest level of education of the unemployed
No schooling
Less than primary completed
Primary completed
Secondary not completed
Secondary completed
Tertiary
Other
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
46
P0211
Table 6: Socio-demographic characteristics – South Africa (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
Employed and attending by type of
educational institution
Ordinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre (ABET)
Literacy classes (e.g. KHA RI GUDE, SANLI)
Home-based education or home schooling
329
26
35
25
226
13
1
303
21
4
22
28
221
6
0
107
369
33
4
30
40
250
9
0
92
369
28
1
34
34
259
11
1
359
39
2
37
31
239
10
105
-10
11
1
4
-2
-20
-1
104
30
13
2
6
12
-3
104
-2,8
39,1
156,6
10,9
-7,1
-7,8
-7,3
9177,0
9,1
50,7
6,0
23,3
5,5
-20,7
14720,4
Unemployed and attending by type of
educational institution
Ordinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre (ABET)
Literacy classes (e.g. KHA RI GUDE, SANLI)
Home-based education or home schooling
95
31
1
21
9
26
7
-
107
47
17
8
28
7
-
92
32
1
22
10
21
5
-
104
36
1
26
10
25
4
-
105
32
19
18
30
4
-
1
-4
-7
8
6
0
-
10
1
-2
9
4
-3
-
0,8
-11,3
-28,3
76,7
23,0
5,4
-
10,6
4,2
-10,3
104,7
17,4
-41,4
-
Not economically active and attending by type
of educational institution
Ordinary school
Special school
Further education and training college (FET)
Other college
Higher education institution
Adult basic education and training centre (ABET)
Literacy classes (e.g. KHA RI GUDE, SANLI)
Home-based education or home schooling
5 953
4 938
41
265
112
526
30
5
1
5 780
4 568
43
412
127
567
30
2
2
5 873
4 669
46
391
151
553
40
1
2
5 972
4 759
46
372
177
560
33
1
2
6 098
4 980
42
313
171
532
30
1
2
126
221
-4
-59
-6
-27
-3
0
0
144
42
1
48
59
7
0
-5
1
2,1
4,6
-8,5
-15,8
-3,4
-4,9
-8,0
45,4
6,8
2,4
0,9
2,1
18,1
53,1
1,3
0,7
-86,6
191,0
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
47
P0211
Table 6: Socio-demographic characteristics – South Africa (concluded)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
14 524
6 082
1 711
419
519
5 793
14 558
6 128
1 637
435
521
5 837
14 692
6 120
1 631
428
533
5 980
15 036
6 048
1 793
462
553
6 179
15 177
6 049
1 785
513
539
6 291
141
1
-8
51
-14
112
653
-33
75
94
20
498
0,9
0,0
-0,5
11,0
-2,6
1,8
4,5
-0,5
4,4
22,4
3,8
8,6
4 709
785
528
65
92
3 240
4 862
841
518
69
91
3 343
4 972
820
557
75
94
3 425
4 880
822
508
83
80
3 387
4 830
812
544
73
71
3 330
-50
-10
36
-10
-9
-57
121
27
16
8
-20
90
-1,0
-1,3
7,1
-12,4
-10,9
-1,7
2,6
3,4
2,9
12,9
-22,0
2,8
15 172
3 058
773
661
235
10 445
15 138
3 048
725
641
249
10 475
15 049
2 982
751
641
240
10 435
14 952
2 862
761
620
238
10 472
15 015
2 869
762
666
245
10 473
63
7
2
47
7
0
-157
-189
-10
5
9
28
0,4
0,2
0,2
7,5
2,9
0,0
-1,0
-6,2
-1,3
0,8
3,8
0,3
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
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
Due to rounding, numbers do not necessarily add up to totals.
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
48
P0211
Table 7: Profile of those not in education and not in employment – South Africa
Oct-Dec
2012
Thousand
Jan-Mar
2013
Thousand
Apr-Jun
2013
Thousand
Jul-Sep
2013
Thousand
Oct-Dec
2013
Thousand
Qtr-to-qtr
change
Thousand
Year-on-year
change
Thousand
Qtr-to-qtr
change
Per cent
Year-onyear change
Per cent
Both sexes
Women
Men
13 833
8 270
5 564
14 113
8 372
5 741
14 056
8 270
5 787
13 757
7 994
5 763
13 643
8 028
5 615
-114
34
-149
-191
-242
51
-0,8
0,4
-2,6
-1,4
-2,9
0,9
Age group
15–24 yrs
25–34 yrs
35–44 yrs
45–54 yrs
55–64 yrs
13 833
3 180
4 197
2 564
1 942
1 951
14 113
3 406
4 194
2 588
1 934
1 991
14 056
3 345
4 185
2 635
1 908
1 982
13 757
3 207
4 121
2 579
1 873
1 977
13 643
3 086
4 030
2 629
1 923
1 975
-114
-122
-92
51
50
-2
-191
-94
-167
66
-19
24
-0,8
-3,8
-2,2
2,0
2,7
-0,1
-1,4
-3,0
-4,0
2,6
-1,0
1,2
Population groups
BlackAfrican
Coloured
Indian/Asian
White
13 833
11 503
1 235
336
759
14 113
11 761
1 266
296
790
14 056
11 733
1 293
308
723
13 757
11 440
1 262
321
734
13 643
11 296
1 246
328
774
-114
-145
-17
7
40
-191
-208
10
-8
15
-0,8
-1,3
-1,3
2,2
5,5
-1,4
-1,8
0,8
-2,4
2,0
South Africa
Western Cape
Eastern Cape
Northern Cape
Free State
KwaZulu-Natal
North West
Gauteng
Mpumalanga
Limpopo
13 833
1 424
1 920
318
796
2 792
1 076
3 051
1 077
1 378
14 113
1 450
1 916
332
783
2 775
1 119
3 147
1 103
1 488
14 056
1 478
1 910
331
759
2 806
1 097
3 111
1 060
1 503
13 757
1 433
1 897
321
784
2 678
1 099
3 078
1 014
1 455
13 643
1 372
1 850
309
774
2 694
1 091
3 100
1 054
1 399
-114
-61
-47
-12
-10
16
-8
22
40
-56
-191
-52
-70
-9
-22
-98
15
48
-23
20
-0,8
-4,2
-2,5
-3,7
-1,2
0,6
-0,7
0,7
3,9
-3,8
-1,4
-3,6
-3,6
-2,9
-2,8
-3,5
1,4
1,6
-2,1
1,5
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
49
P0211
Table 8: Involvement in non-market activities and labour market status by province
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Year-onyear
change
Qtr-toqtr
change
Per
cent
Yearon-year
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
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
1 800
3 877
86
213
38
5 033
1 171
650
3 211
1 888
4 101
79
236
46
5 259
1 247
690
3 321
1 536
4 108
92
288
29
5 083
1 210
623
3 250
1 443
4 388
98
295
35
5 271
1 345
640
3 287
1 579
4 335
100
301
14
5 291
1 381
592
3 318
137
-53
2
6
-21
19
36
-48
31
-221
458
14
88
-23
258
209
-58
106
9,5
-1,2
2,2
2,0
-58,9
0,4
2,7
-7,4
0,9
-12,3
11,8
16,5
41,6
-61,5
5,1
17,9
-8,9
3,3
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
15
30
1
5
2
50
20
9
21
14
17
1
0
4
34
16
8
10
14
23
1
4
2
41
21
6
13
25
30
4
7
1
56
36
5
15
20
18
2
5
2
46
33
4
9
-4
-12
-1
-2
1
-10
-3
-1
-6
6
-12
1
0
1
-5
12
-5
-12
-17,6
-40,7
-39,2
-28,3
67,1
-18,5
-8,7
-21,8
-40,5
37,2
-40,5
70,4
4,8
56,0
-9,5
61,6
-55,3
-57,7
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
396
969
5
31
1
1 277
271
151
854
538
1 061
12
93
10
1 435
317
174
944
450
1 050
9
80
1
1 318
292
158
868
436
1 126
12
130
1
1 385
306
163
917
413
1 062
12
113
1
1 299
295
129
875
-23
-64
0
-16
0,1
-86,2
-11
-33
-42
17
94
7
82
0
22
24
-22
20
-5,3
-5,7
1,5
-12,5
13,1
-6,2
-3,5
-20,5
-4,6
4,3
9,7
155,6
265,5
-31,1
1,7
8,8
-14,5
2,4
Per cent
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 4, 2013
Statistics South Africa
50
P0211
Table 8: Involvement in non-market activities and labour market status by province (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
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
12
78
0
0
6
89
24
18
47
8
72
1
0
6
82
25
11
46
5
87
1
0
1
91
26
19
46
23
119
0
1
19
131
46
28
56
13
91
1
1
2
97
35
20
42
-10
-29
1
0
-16
-33
-11,3
-7,9
-14
1
13
1
1
-4
8
11
2
-5
-41,9
-24,0
305,1
20,5
-88,3
-25,6
-24,4
-28,1
-25,2
11,1
16,3
340,1
138,8
-66,1
9,5
47,6
11,4
-10,4
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
113
45
2
4
11
152
53
26
73
117
36
3
6
9
149
63
23
64
92
34
4
6
8
126
57
26
44
72
47
3
5
5
117
53
20
44
111
33
1
2
3
138
62
13
64
39
-14
-2
-3
-2
22
9
-7
20
-3
-12
-1
-2
-9
-14
8
-13
-9
53,8
-30,6
-72,6
-59,5
-40,1
18,7
16,5
-35,7
46,2
-2,2
-26,8
-47,2
-49,4
-75,1
-9,0
15,8
-50,0
-12,6
KwaZulu-Natal
Subsistence farming
Fetching water or collecting wood/dung
Produce other goods for household use
Construction or major repairs to own or household
Hunting or fishing for household use
Involvement in at least one activity
Employed
Unemployed
Not economically active
630
1 148
45
109
5
1 454
329
185
940
653
1 239
33
77
5
1 523
362
197
964
526
1 262
31
119
8
1 543
351
179
1 012
478
1 238
33
103
7
1 502
385
187
930
530
1 103
34
104
3
1 362
332
140
890
52
-134
0
1
-4
-141
-53
-47
-40
-99
-45
-11
-5
-3
-92
3
-45
-50
10,9
-10,8
0,7
0,6
-56,8
-9,4
-13,9
-25,1
-4,4
-15,8
-3,9
-24,8
-4,4
-47,5
-6,3
1,0
-24,2
-5,4
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
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 4, 2013
Statistics South Africa
51
P0211
Table 8: Involvement in non-market activities and labour market status by province (continued)
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
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
96
257
.
1
1
297
64
40
193
113
306
12
11
0
375
90
57
228
85
313
25
19
2
380
93
67
220
87
311
12
10
1
362
96
56
210
81
393
17
10
2
446
124
57
266
-6
82
6
0
1
85
28
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
47
38
8
13
3
98
46
21
31
15
41
3
5
1
63
28
23
12
29
30
6
11
1
64
35
8
20
29
42
6
9
1
77
34
11
33
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
216
298
23
28
3
451
103
114
235
184
297
16
21
2
421
103
99
219
171
277
15
22
1
387
86
87
214
138
389
26
12
1
481
127
99
255
Year-onyear
change
Thousand
Qtr-to-qtr
change
Per cent
Year-onyear
change
Per cent
56
-16
136
.
8
1
149
60
16
73
-6,9
26,3
46,5
-0,9
55,8
23,4
29,2
0,8
26,8
-16,5
53,1
.
777,8
81,1
50,1
93,3
40,8
37,8
32
56
3
11
0
101
47
30
23
3
13
-3
3
-1
23
13
19
-10
-15
18
-6
-1
-2
2
1
10
-8
10,5
31,9
-54,6
31,7
-60,4
29,9
39,0
179,9
-29,5
-32,2
45,8
-68,6
-10,6
-84,6
2,4
2,2
45,9
-26,3
152
472
26
23
0
585
175
115
295
14
83
0
12
0
104
48
15
40
-64
174
3
-4
-2
134
72
1
61
10,2
21,3
0,2
98,1
-49,3
21,5
37,9
15,5
15,8
-29,5
58,3
14,8
-15,5
-87,5
29,6
70,3
0,7
25,9
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 4, 2013
Statistics South Africa
52
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
Oct-Dec
2012
Jan-Mar
2013
Apr-Jun
2013
Jul-Sep
2013
Oct-Dec
2013
Qtr-to-qtr
change
Thousand
Thousand
Thousand
Thousand
Thousand
Thousand
Year-onyear
change
Thousand
274
1 015
2
22
5
1 164
262
86
817
246
1 033
0
22
8
1 177
244
98
836
164
1 034
1
26
4
1 134
248
72
813
155
1 085
1
19
.
1 160
262
71
827
227
1 107
3
31
1
1 217
279
84
854
71
22
2
12
.
57
17
13
27
-48
92
2
9
-4
53
17
-2
37
Qtr-to-qtr
change
Per cent
45,9
2,0
162,5
65,2
.
4,9
6,4
19,1
3,2
Year-onyear
change
Per cent
-17,4
9,1
95,7
42,7
-88,2
4,5
6,5
-2,0
4,6
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 4, 2013
Statistics South Africa
53
P0211
Appendix 2
Appendix 2A: Sampling variability for labour force characteristics by sex
Jul-Sep
2013 CV
Both sexes
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Women
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,5
0,7
1,0
2,5
6,1
2,9
1,9
0,7
3,2
0,7
0,5
0,7
0,9
2,5
6,1
3,0
2,1
0,7
3,1
0,8
91
141
64
123
-27
-20
-50
63
-96
160
-102
-27
-112
2
-95
-84
-231
-129
-226
-24
284
309
240
244
41
45
131
256
33
344
0,36
0,10
0,48
0,05
0,44
0,55
0,59
0,52
0,15
0,09
1,7
0,7
0,5
1,9
0,7
0,5
-0,4
0,2
0,0
-1,2
-0,3
-0,5
0,4
0,7
0,6
0,37
0,39
0,98
0,7
1,0
1,5
3,6
7,4
3,3
2,4
0,7
3,4
0,8
0,8
1,1
1,5
3,2
7,7
3,2
2,7
0,8
3,5
0,9
-31
-30
4
-6
-21
-7
-1
101
-52
153
-162
-140
-106
-69
-50
-64
-110
-30
-136
23
100
80
114
58
7
51
108
233
32
284
0,65
0,59
0,94
0,86
0,14
0,82
0,99
0,13
0,22
0,02
2,2
1,0
0,7
2,5
1,1
0,8
0,1
-0,3
-0,4
-1,0
-0,9
-1,1
1,1
0,3
0,4
0,88
0,31
0,32
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
54
P0211
Appendix 2A: Sampling variability for labour force characteristics by sex (concluded)
Jul-Sep
2013 CV
Men
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,6
0,8
1,1
3,0
7,5
5,9
2,2
1,0
3,8
1,0
0,6
0,8
1,1
3,3
7,1
6,6
2,4
1,0
3,9
1,0
121
171
60
129
-5
-13
-49
-38
-44
6
4
55
-57
34
-57
-46
-174
-156
-123
-105
239
287
177
224
47
20
75
80
34
118
0,04
0,00
0,32
0,01
0,84
0,44
0,44
0,53
0,27
0,91
2,1
0,8
0,6
2,3
0,8
0,6
-0,7
0,8
0,4
-1,7
0,1
-0,3
0,3
1,4
1,1
0,18
0,03
0,25
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
55
P0211
Appendix 2.1A: Sampling variability for labour force characteristics by population group
Jul-Sep
2013 CV
South Africa
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Black/African
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Coloured
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,5
0,7
1,9
0,7
0,5
0,7
2,1
0,7
91
141
-50
63
-102
-27
-231
-129
284
309
131
256
0,36
0,10
0,59
0,52
1,7
0,7
0,5
1,9
0,7
0,5
-0,4
0,2
0,0
-1,2
-0,3
-0,5
0,4
0,7
0,6
0,37
0,39
0,98
0,6
0,8
2,0
0,8
0,6
0,8
2,2
0,8
113
148
-35
35
-61
-1
-203
-140
287
297
133
209
0,20
0,05
0,68
0,70
1,8
0,8
0,6
1,9
0,8
0,6
-0,4
0,3
0,1
-1,4
-0,2
-0,5
0,5
0,9
0,8
0,37
0,24
0,72
1,1
2,4
6,2
1,9
1,1
2,0
5,0
2,0
26
52
-26
-15
-13
3
-71
-54
65
101
19
24
0,19
0,04
0,25
0,46
6,3
2,4
1,1
5,0
2,0
1,1
-1,6
1,4
0,6
-3,6
-0,1
-0,6
0,5
3,0
1,8
0,14
0,06
0,34
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
56
P0211
Appendix 2.1A: Sampling variability for labour force characteristics by population group (concluded)
Jul-Sep
2013 CV
Indian/Asian
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption
Labour force participation rate
White
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
2,5
2,3
14,0
3,7
2,2
2,8
14,9
3,1
-9
-14
5
12
-42
-45
-20
-20
23
17
29
45
0,57
0,37
0,70
0,45
12,8
2,3
2,5
14,6
2,8
2,2
1,1
-1,7
-1,2
-3,0
-4,9
-4,6
5,2
1,6
2,2
0,61
0,31
0,50
1,2
1,6
16,1
2,7
1,5
1,8
14,0
3,2
-39
-45
6
31
-104
-106
-24
-34
26
16
37
96
0,24
0,15
0,69
0,35
15,9
1,6
1,2
13,9
1,8
1,5
0,4
-1,3
-1,1
-0,9
-3,2
-3,2
1,8
0,7
1,0
0,54
0,20
0,31
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
57
P0211
Appendix 2.3A: Sampling variability for labour force characteristics by province
Jul-Sep
2013 CV
South Africa
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption
Labour force participation rate
Western Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,5
0,7
1,9
0,7
3,2
0,7
0,5
0,7
2,1
0,7
3,1
0,8
91
141
-50
63
-96
160
-102
-27
-231
-129
-226
-24
284
309
131
256
33
344
0,36
0,10
0,59
0,52
0,15
0,09
1,7
0,7
0,5
1,9
0,7
0,5
-0,4
0,2
0,0
-1,2
-0,3
-0,5
0,4
0,7
0,6
0,37
0,39
0,98
0,9
1,9
5,3
1,9
23,3
2,0
1,0
2,0
6,7
2,3
28,0
2,2
50
98
-47
-28
-23
-5
4
39
-101
-74
-39
-56
97
156
7
19
-6
46
0,04
0,00
0,09
0,25
0,01
0,85
5,3
1,9
0,9
6,6
2,0
1,0
-2,1
2,1
0,9
-3,9
0,7
-0,3
-0,3
3,5
2,0
0,03
0,00
0,14
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
58
P0211
Appendix 2.3A: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Oct-Dec
Estimate
2013 CV
2013 CV
Eastern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Northern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-value
2,0
2,9
4,8
1,7
6,6
1,6
2,5
3,2
6,2
2,0
7,3
2,0
-14
38
-53
22
71
-49
-79
-31
-106
-43
21
-106
51
108
1
87
122
8
0,67
0,27
0,05
0,50
0,01
0,09
4,6
2,9
2,0
5,6
3,2
2,5
-2,6
0,9
-0,4
-5,4
-0,8
-2,0
0,1
2,6
1,2
0,06
0,31
0,59
2,4
3,4
6,4
3,4
13,1
3,5
2,7
3,2
7,9
3,7
18,6
4,0
0
13
-13
3
14
-11
-20
-3
-26
-17
-3
-33
19
29
0
22
31
10
0,98
0,11
0,05
0,78
0,10
0,31
6,0
3,4
2,4
7,0
3,2
2,7
-3,0
1,6
-0,2
-5,5
-0,5
-2,8
-0,5
3,7
2,4
0,02
0,14
0,86
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
59
P0211
Appendix 2.3A: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Oct-Dec
Estimate
2013 CV
2013 CV
Free State
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
KwaZulu Natal
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-value
1,4
2,0
5,1
2,1
15,1
2,0
2,4
2,8
7,9
3,6
16,4
3,2
1
8
-7
2
15
-13
-35
-30
-42
-34
-1
-44
37
47
27
39
31
18
0,96
0,67
0,67
0,90
0,06
0,43
4,3
2,0
1,4
6,4
2,8
2,4
-0,7
0,4
-0,1
-3,5
-1,7
-2,0
2,1
2,5
1,9
0,63
0,72
0,95
1,7
2,1
5,4
1,7
7,7
2,0
1,6
1,9
6,2
1,5
6,1
2,0
-81
-42
-39
104
32
72
-161
-122
-100
24
-34
4
-1
38
21
184
98
141
0,05
0,30
0,20
0,01
0,34
0,04
4,9
2,1
1,7
5,7
1,9
1,6
-0,7
-0,8
-1,4
-2,5
-2,0
-2,6
1,1
0,4
-0,2
0,43
0,21
0,02
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
60
P0211
Appendix 2.3A: Sampling variability for labour force characteristics by province (continued)
Jul-Sep
Oct-Dec
Estimate
2013 CV
2013 CV
North West
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-value
2,2
2,9
6,5
2,1
9,7
2,8
2,4
2,8
8,6
2,5
9,9
3,5
36
17
19
-26
-1
-24
-16
-18
-23
-78
-39
-83
89
53
61
27
37
35
0,17
0,34
0,37
0,34
0,95
0,42
5,9
2,9
2,2
7,3
2,8
2,4
0,8
0,6
1,3
-2,0
-0,9
-0,9
3,6
2,1
3,6
0,58
0,46
0,25
1,2
1,2
4,1
2,7
9,7
2,7
1,2
1,3
3,9
2,8
9,1
2,8
79
0
79
-25
-105
81
-69
-97
-55
-173
-164
-50
227
97
213
123
-46
211
0,30
1,00
0,25
0,74
0,00
0,22
3,4
1,2
1,2
3,4
1,3
1,2
0,9
-0,3
0,5
-0,8
-1,4
-1,2
2,6
0,8
2,1
0,28
0,56
0,59
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
61
P0211
Appendix 2.3A: Sampling variability for labour force characteristics by province (concluded)
Jul-Sep
Oct-Dec
Estimate
2013 CV
2013 CV
Mpumalanga
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Limpopo
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-value
1,4
2,1
4,3
2,1
6,2
2,6
1,8
2,4
5,1
2,5
7,2
2,7
13
0
14
0
-22
23
-37
-43
-32
-50
-61
-24
64
42
59
51
16
69
0,61
0,98
0,56
0,99
0,25
0,34
4,1
2,1
1,4
4,7
2,4
1,8
0,6
-0,2
0,2
-1,8
-1,8
-1,7
3,1
1,4
2,1
0,61
0,77
0,84
2,7
3,5
7,4
1,8
6,8
2,3
3,3
3,9
8,6
2,2
8,2
2,3
7
9
-2
9
-77
86
-47
-33
-37
-45
-129
12
60
51
33
63
-25
160
0,81
0,68
0,91
0,74
0,00
0,02
7,8
3,5
2,7
8,4
3,9
3,3
-0,2
0,1
0,0
-2,4
-1,1
-1,6
1,9
1,3
1,6
0,83
0,87
0,99
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
62
P0211
Appendix 3.1A: Sampling variability for the employed by industry and sex
Jul-Sep
2013 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
0,7
6,1
9,1
3,2
9,9
3,5
2,2
3,8
2,4
2,1
2,9
0,7
6,1
7,9
3,2
9,3
3,5
2,1
3,8
2,7
2,0
3,0
141
-27
4
-12
-13
59
40
35
-23
97
-20
-27
-95
-39
-107
-37
-23
-87
-29
-131
-14
-84
309
41
46
84
11
141
167
99
86
208
45
0,10
0,44
0,86
0,81
0,30
0,16
0,54
0,28
0,68
0,09
0,55
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
1,0
7,4
13,5
4,2
17,2
8,0
3,0
8,3
3,6
2,3
3,3
1,1
7,7
13,4
4,7
17,1
7,2
2,7
8,4
4,2
2,3
3,2
-30
-21
1
3
-1
-3
-6
-30
-19
51
-7
-140
-50
-10
-48
-11
-24
-90
-54
-83
-28
-64
80
7
13
54
10
18
79
-5
45
131
51
0,59
0,14
0,80
0,91
0,88
0,76
0,90
0,02
0,56
0,20
0,82
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
0,8
7,5
9,4
3,8
11,6
3,7
2,6
4,2
3,1
3,0
5,9
0,8
7,1
8,4
3,7
10,4
3,7
2,7
4,0
3,1
2,8
6,6
171
-5
2
-15
-12
62
45
65
-4
46
-13
55
-57
-37
-90
-32
-15
-34
7
-80
-17
-46
287
47
42
60
8
139
124
123
73
108
20
0,00
0,84
0,91
0,70
0,24
0,11
0,26
0,03
0,92
0,15
0,44
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
63
P0211
Appendix 3.4A: Sampling variability for the employed by province and sector
Jul-Sep
2013 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
South Africa
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
0,7
1,0
2,5
6,1
2,9
0,7
0,9
2,5
6,1
3,0
141
64
123
-27
-20
-27
-112
2
-95
-84
309
240
244
41
45
0,10
0,48
0,05
0,44
0,55
Western Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,9
2,3
7,2
11,8
10,3
2,0
2,2
8,7
12,9
8,5
98
92
-15
3
19
39
23
-49
-41
2
156
160
18
46
35
0,00
0,01
0,36
0,90
0,03
Eastern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,9
4,4
6,9
22,6
8,6
3,2
3,9
9,4
21,0
10,3
38
10
34
-5
0
-31
-51
-18
-19
-12
108
71
85
8
13
0,27
0,75
0,20
0,45
0,98
Northern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,4
5,1
7,7
15,3
11,5
3,2
5,1
14,5
14,0
12,2
13
14
4
2
-7
-3
-3
-3
-4
-12
29
30
11
8
-2
0,11
0,10
0,28
0,49
0,01
Free State
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,0
3,1
7,7
12,4
8,8
2,8
4,0
7,5
17,7
8,6
8
14
-10
4
0
-30
-23
-23
-12
-16
47
51
3
20
16
0,67
0,45
0,14
0,61
0,99
KwaZulu Natal
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,1
2,4
4,7
8,9
8,3
1,9
2,6
5,3
11,7
7,5
-42
-32
-6
-12
8
-122
-101
-55
-36
-19
38
37
42
13
34
0,30
0,36
0,80
0,34
0,57
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
64
P0211
Appendix 3.4A: Sampling variability for the employed by province and sector (concluded)
Jul-Sep
Oct-Dec
Estimate
2013 CV
2013 CV
Lower
95%
Upper
95%
P-value
North West
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,9
3,7
8,1
21,5
10,8
2,8
4,0
10,5
16,9
11,0
17
-1
13
0
6
-18
-39
-10
-17
-8
53
36
36
17
20
0,34
0,95
0,27
0,98
0,41
Gauteng
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,2
1,8
7,0
24,4
5,4
1,3
1,8
6,0
31,3
5,7
0
-33
75
16
-59
-97
-138
-3
-6
-104
97
72
154
39
-13
1,00
0,53
0,06
0,16
0,01
Mpumalanga
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,1
3,5
6,2
10,7
8,4
2,4
3,6
5,5
10,9
9,2
0
7
18
-22
-3
-43
-31
-9
-41
-19
42
44
46
-4
13
0,98
0,73
0,19
0,02
0,72
Limpopo
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,5
4,3
5,2
26,9
12,3
3,9
4,2
4,3
22,5
11,4
9
-6
11
-13
16
-33
-42
-22
-34
-2
51
31
43
9
34
0,68
0,77
0,52
0,26
0,08
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
65
P0211
Appendix 3.5A: Sampling variability for the employed by sex and occupation
Jul-Sep
2013 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
Both sexes
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,7
3,3
4,6
2,7
2,5
2,5
14,5
2,7
3,0
2,0
3,3
0,7
3,4
4,3
2,6
2,6
2,4
12,2
2,6
3,0
2,0
3,2
141
-4
-64
-29
-72
116
8
157
7
39
-18
-27
-77
-139
-115
-153
19
-14
71
-71
-84
-74
309
69
11
58
9
213
31
244
84
162
38
0,10
0,91
0,10
0,52
0,08
0,02
0,46
0,00
0,87
0,53
0,53
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
1,0
5,1
5,7
3,4
3,0
3,2
28,7
6,6
7,0
2,6
3,4
1,1
5,2
5,1
3,1
3,1
3,2
21,5
7,1
8,5
2,6
3,3
-30
-1
-11
-12
-79
67
-2
43
2
-29
-9
-140
-42
-57
-68
-144
1
-15
11
-23
-98
-64
80
41
36
44
-13
134
12
74
27
39
47
0,59
0,98
0,65
0,67
0,02
0,05
0,80
0,01
0,88
0,40
0,76
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
5,8
4,3
4,6
3,6
14,3
2,9
3,4
2,6
13,8
0,8
4,1
5,0
4,2
4,2
3,3
14,3
3,0
3,1
2,6
14,1
171
-4
-53
-17
7
49
10
114
5
68
-9
55
-67
-104
-82
-38
-20
-8
34
-68
-28
-21
287
59
-2
49
51
119
28
195
78
165
2
0,00
0,91
0,04
0,62
0,77
0,17
0,26
0,01
0,90
0,17
0,11
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
66
P0211
Appendix 2B: Sampling variability for labour force characteristics by sex
Oct-Dec
2012 CV
Both sexes
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Women
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,6
0,7
1,0
2,4
6,1
3,4
1,9
0,7
3,1
0,8
0,5
0,7
0,9
2,5
6,1
3,0
2,1
0,7
3,1
0,8
774
653
507
95
-4
55
121
-157
-101
-56
514
399
246
-50
-96
-46
-115
-417
-264
-300
1033
907
768
240
87
156
356
103
62
188
0,00
0,00
0,00
0,20
0,92
0,29
0,32
0,24
0,22
0,65
1,7
0,7
0,6
1,9
0,7
0,5
-0,3
1,1
1,2
-1,4
0,4
0,5
0,7
1,9
2,0
0,53
0,00
0,00
0,8
1,0
1,4
3,2
7,5
3,3
2,4
0,8
3,3
0,9
0,8
1,1
1,5
3,2
7,7
3,2
2,7
0,8
3,5
0,9
446
396
301
55
-27
67
49
-164
-111
-53
273
218
130
-25
-70
-20
-99
-337
-217
-218
618
575
472
135
15
153
198
8
-5
112
0,00
0,00
0,00
0,17
0,21
0,13
0,51
0,06
0,04
0,53
2,0
1,0
0,8
2,5
1,1
0,8
-0,8
1,7
1,7
-2,3
0,7
0,8
0,8
2,7
2,7
0,32
0,00
0,00
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
67
P0211
Appendix 2B: Sampling variability for labour force characteristics by sex (Concluded)
Oct-Dec
Oct-Dec
2012 CV
2013 CV
Estimate
Men
Population 15-64 yrs
Labour Force
Employed
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
Unemployed
Not economically active
Discouraged work-seekers
Other(not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-Value
0,6
0,8
1,2
3,0
6,6
7,6
2,3
1,0
4,0
1,0
0,6
0,8
1,1
3,3
7,1
6,6
2,4
1,0
3,9
1,0
328
257
206
40
23
-12
71
7
10
-3
168
81
35
-76
-49
-58
-78
-152
-83
-147
488
433
377
156
95
35
220
167
104
141
0,00
0,00
0,02
0,50
0,54
0,63
0,35
0,93
0,83
0,97
2,1
0,8
0,6
2,3
0,8
0,6
0,0
0,5
0,7
-1,3
-0,5
-0,3
1,3
1,6
1,6
0,98
0,31
0,16
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
68
P0211
Appendix 2.1B: Sampling variability for labour force characteristics by population group
Oct-Dec
2012 CV
South Africa
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption )
Labour force participation rate
Black/African
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Coloured
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,6
0,7
1,9
0,7
0,5
0,7
2,1
0,7
774
653
121
-157
514
399
-115
-417
1033
907
356
103
0,00
0,00
0,32
0,24
1,7
0,7
0,6
1,9
0,7
0,5
-0,3
1,1
1,2
-1,4
0,4
0,5
0,7
1,9
2,0
0,53
0,00
0,00
0,7
0,8
2,1
0,8
0,6
0,8
2,2
0,8
717
631
86
-130
487
414
-126
-360
947
847
299
100
0,00
0,00
0,43
0,27
1,8
0,8
0,7
1,9
0,8
0,6
-0,8
1,5
1,5
-2,0
0,7
0,6
0,5
2,3
2,3
0,25
0,00
0,00
1,0
1,6
3,9
1,7
1,1
2,0
5,0
2,0
55
57
-2
-8
-1
-13
-60
-63
110
128
55
48
0,05
0,11
0,93
0,79
3,9
1,6
1,0
5,0
2,0
1,1
-0,7
1,1
0,8
-3,4
-1,1
-1,0
2,0
3,2
2,5
0,59
0,34
0,38
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
69
P0211
Appendix 2.1B: Sampling variability for labour force characteristics by population group (Concluded)
Oct-Dec
Oct-Dec
Lower
2012 CV
2013 CV
Estimate
95%
Indian/Asian
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
White
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Upper
95%
P-Value
2,8
3,4
20,6
4,2
2,2
2,8
14,9
3,1
-6
-7
1
18
-37
-38
-35
-13
25
24
37
49
0,72
0,65
0,94
0,25
19,8
3,4
2,8
14,6
2,8
2,2
0,4
-1,4
-1,4
-5,6
-4,7
-4,7
6,4
1,8
1,9
0,91
0,38
0,40
1,5
1,6
9,4
3,1
1,5
1,8
14,0
3,2
8
-28
36
-38
-83
-120
-10
-128
98
64
81
53
0,87
0,55
0,12
0,41
9,3
1,6
1,5
13,9
1,8
1,5
1,7
-0,3
0,9
-0,4
-3,2
-2,0
3,7
2,6
3,8
0,12
0,85
0,54
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
70
P0211
Appendix 2.3B: Sampling variability for labour force characteristics by province
Oct-Dec
2012 CV
South Africa
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Western Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
0,6
0,7
1,9
0,7
3,1
0,8
0,5
0,7
2,1
0,7
3,1
0,8
774
653
121
-157
-101
-56
514
399
-115
-417
-264
-300
1033
907
356
103
62
188
0,00
0,00
0,32
0,24
0,22
0,65
1,7
0,7
0,6
1,9
0,7
0,5
-0,3
1,1
1,2
-1,4
0,4
0,5
0,7
1,9
2,0
0,53
0,00
0,00
1,0
1,5
3,4
2,2
19,6
2,4
1,0
2,0
6,7
2,3
28,0
2,2
85
133
-48
6
-18
24
9
38
-129
-69
-34
-52
160
228
33
81
-1
100
0,03
0,01
0,25
0,88
0,04
0,54
3,3
1,5
1,0
6,6
2,0
1,0
-2,4
2,1
0,6
-5,2
-0,2
-1,3
0,4
4,4
2,4
0,09
0,08
0,55
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
71
P0211
Appendix 2.3B: Sampling variability for labour force characteristics by province (Continued)
Oct-Dec
Oct-Dec
2012 CV
2013 CV
Estimate
Eastern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Northern Cape
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-Value
2,7
2,8
5,7
2,1
4,9
2,1
2,5
3,2
6,2
2,0
7,3
2,0
106
106
0
-71
-15
-56
-3
11
-88
-181
-78
-144
216
201
88
38
48
31
0,06
0,03
1,00
0,20
0,64
0,21
4,2
2,8
2,7
5,6
3,2
2,5
-1,7
2,4
2,3
-5,9
0,0
-0,5
2,5
4,7
5,0
0,43
0,05
0,10
2,1
2,9
7,0
2,7
15,7
2,3
2,7
3,2
7,9
3,7
18,6
4,0
19
28
-9
-9
16
-25
-3
1
-24
-31
1
-46
41
56
5
13
31
-3
0,10
0,04
0,21
0,44
0,04
0,02
6,3
2,9
2,1
7,0
3,2
2,7
-3,4
3,2
1,7
-7,1
-0,4
-1,2
0,4
6,9
4,7
0,08
0,08
0,25
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
72
P0211
Appendix 2.3B: Sampling variability for labour force characteristics by province (Continued)
Oct-Dec
Oct-Dec
2012 CV
2013 CV
Estimate
Free State
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
KwaZulu Natal
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-Value
1,6
2,2
2,7
2,4
11,5
2,7
2,4
2,8
7,9
3,6
16,4
3,2
28
16
12
-15
13
-28
-34
-32
-46
-77
-20
-79
90
64
69
47
45
23
0,38
0,51
0,69
0,64
0,44
0,29
2,5
2,2
1,6
6,4
2,8
2,4
0,2
0,6
1,1
-3,9
-2,0
-2,3
4,4
3,2
4,5
0,91
0,66
0,52
2,0
2,1
6,0
1,8
7,0
2,0
1,6
1,9
6,2
1,5
6,1
2,0
81
128
-47
12
20
-8
-38
19
-142
-108
-65
-125
201
237
48
132
105
109
0,18
0,02
0,33
0,84
0,65
0,90
5,1
2,1
2,0
5,7
1,9
1,6
-2,1
1,4
0,6
-4,8
-0,3
-1,3
0,7
3,1
2,4
0,14
0,09
0,55
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
73
P0211
Appendix 2.3B: Sampling variability for labour force characteristics by province (Continued)
Oct-Dec
Oct-Dec
2012 CV
2013 CV
Estimate
North West
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Gauteng
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-Value
2,9
3,4
6,3
2,7
7,7
3,3
2,4
2,8
8,6
2,5
9,9
3,5
92
22
70
-49
15
-63
10
-44
16
-131
-41
-135
174
88
123
33
70
9
0,03
0,51
0,01
0,24
0,60
0,09
5,7
3,4
2,9
7,3
2,8
2,4
4,1
0,3
3,0
0,3
-2,6
-0,5
7,8
3,1
6,6
0,03
0,85
0,09
1,1
1,5
4,0
2,4
11,7
2,4
1,2
1,3
3,9
2,8
9,1
2,8
278
98
179
-64
-96
31
105
-80
29
-237
-165
-133
450
277
330
109
-26
196
0,00
0,28
0,02
0,47
0,01
0,71
3,8
1,5
1,1
3,4
1,3
1,2
1,8
-0,2
1,4
-0,4
-2,1
-0,5
4,0
1,8
3,3
0,12
0,88
0,14
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
74
P0211
Appendix 2.3B: Sampling variability for labour force characteristics by province (Concluded)
Oct-Dec
Oct-Dec
2012 CV
2013 CV
Estimate
Mpumalanga
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Limpopo
Population 15-64 yrs
Labour Force
Employed
Unemployed
Not economically active
Discouraged work-seekers
Other
Rates (%)
Unemployment rate
Employed / population ratio (Absorption)
Labour force participation rate
Lower
95%
Upper
95%
P-Value
2,0
2,5
6,7
2,7
8,1
2,6
1,8
2,4
5,1
2,5
7,2
2,7
77
84
-7
-23
-38
15
5
18
-69
-94
-81
-47
148
150
55
48
5
76
0,04
0,01
0,82
0,53
0,09
0,64
5,7
2,5
2,0
4,7
2,4
1,8
-1,9
2,3
1,7
-5,4
-0,2
-1,0
1,7
4,8
4,4
0,30
0,07
0,21
3,3
4,1
8,2
2,3
7,6
2,4
3,3
3,9
8,6
2,2
8,2
2,3
8
37
-29
56
1
54
-86
-56
-80
-38
-62
-45
102
130
21
150
65
154
0,87
0,43
0,26
0,24
0,97
0,28
8,1
4,1
3,3
8,4
3,9
3,3
-2,2
0,5
-0,5
-5,7
-2,3
-3,3
1,3
3,2
2,2
0,22
0,74
0,71
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
75
P0211
Appendix 3.1B: Sampling variability for the employed by industry and sex
Oct-Dec
2012 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
Both sexes
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
0,7
6,1
9,4
2,8
10,7
3,0
2,1
4,7
3,0
2,2
3,4
0,7
6,1
7,9
3,2
9,3
3,5
2,1
3,8
2,7
2,0
3,0
653
-4
46
-48
25
72
117
84
88
219
55
399
-96
-13
-187
-9
-36
-51
-22
-72
33
-46
907
87
104
91
58
180
284
191
247
405
156
0,00
0,92
0,13
0,50
0,15
0,19
0,17
0,12
0,28
0,02
0,29
Women
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
1,0
7,5
15,4
4,5
20,2
9,5
2,6
10,5
4,7
2,5
3,3
1,1
7,7
13,4
4,7
17,1
7,2
2,7
8,4
4,2
2,3
3,2
396
-27
5
-19
12
0
98
9
39
213
67
218
-70
-13
-89
-4
-32
5
-33
-61
95
-20
575
15
22
51
27
31
192
51
139
332
153
0,00
0,21
0,61
0,59
0,13
0,98
0,04
0,67
0,45
0,00
0,13
Men
Agriculture
Mining
Manufacturing
Utilities
Construction
Trade
Transport
Finance
Community and social services
Private households
0,8
6,6
9,3
3,1
11,9
3,1
2,9
4,5
2,9
3,0
7,6
0,8
7,1
8,4
3,7
10,4
3,7
2,7
4,0
3,1
2,8
6,6
257
23
41
-29
13
72
18
75
49
6
-12
81
-49
-14
-141
-14
-27
-102
-13
-46
-103
-58
433
95
96
82
40
172
138
163
144
115
35
0,00
0,54
0,14
0,61
0,34
0,15
0,77
0,10
0,31
0,91
0,63
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
76
P0211
Appendix 3.4B: Sampling variability for the employed by province and sector
Oct-Dec
2012 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
South Africa
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
0,7
1,0
2,4
6,1
3,4
0,7
0,9
2,5
6,1
3,0
653
507
95
-4
55
399
246
-50
-96
-46
907
768
240
87
156
0,00
0,00
0,20
0,92
0,29
Western Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,5
2,1
7,9
10,1
8,3
2,0
2,2
8,7
12,9
8,5
133
103
-12
20
22
38
7
-55
-28
0
228
199
32
68
44
0,01
0,04
0,60
0,42
0,05
Eastern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,8
3,8
5,7
12,4
9,3
3,2
3,9
9,4
21,0
10,3
106
48
49
9
0
11
-24
-13
-12
-35
201
119
112
30
35
0,03
0,19
0,12
0,41
0,99
Northern Cape
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,9
5,8
11,2
10,0
12,1
3,2
5,1
14,5
14,0
12,2
28
36
1
-3
-6
1
2
-13
-17
-14
56
71
14
11
2
0,04
0,04
0,92
0,69
0,14
Free State
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,2
3,3
7,4
11,5
7,7
2,8
4,0
7,5
17,7
8,6
16
33
-18
8
-7
-32
-2
-38
-14
-28
64
69
2
31
13
0,51
0,06
0,08
0,48
0,47
KwaZulu Natal
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,1
2,6
4,6
18,9
9,0
1,9
2,6
5,3
11,7
7,5
128
57
57
-1
15
19
-69
6
-42
-29
237
183
109
40
59
0,02
0,37
0,03
0,95
0,51
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
77
P0211
Appendix 3.4B: Sampling variability for the employed by province and sector
Oct-Dec
2012 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-Value
North West
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
3,4
3,8
7,9
23,9
13,4
2,8
4,0
10,5
16,9
11,0
22
-5
7
10
10
-44
-62
-23
-5
-11
88
53
37
24
31
0,51
0,87
0,64
0,19
0,35
Gauteng
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
1,5
2,3
5,6
36,2
8,3
1,3
1,8
6,0
31,3
5,7
98
97
-8
2
7
-80
-96
-95
-39
-62
277
290
78
44
76
0,28
0,33
0,86
0,91
0,84
Mpumalanga
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
2,5
2,8
6,9
10,3
9,5
2,4
3,6
5,5
10,9
9,2
84
107
9
-29
-3
18
50
-30
-52
-26
150
165
47
-6
20
0,01
0,00
0,66
0,01
0,82
Limpopo
Formal sector (Non-agricultural)
Informal sector (Non-agricultural)
Agriculture
Private households
4,1
6,6
6,8
22,5
9,0
3,9
4,2
4,3
22,5
11,4
37
30
10
-20
17
-56
-34
-41
-47
-8
130
95
61
8
42
0,43
0,36
0,71
0,16
0,18
Quarterly Labour Force Survey, Quarter 4, 2013
Statistics South Africa
78
P0211
Appendix 3.5B: Sampling variability for the employed by sex and occupation
Oct-Dec
2012 CV
Oct-Dec
2013 CV
Estimate
Lower
95%
Upper
95%
P-value
Both sexes
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,7
4,1
4,2
2,7
2,8
2,6
10,8
2,6
3,6
1,9
3,3
0,7
3,4
4,3
2,6
2,6
2,4
12,2
2,6
3,0
2,0
3,2
653
78
32
29
78
175
12
74
29
94
54
399
-37
-61
-91
-42
22
-10
-58
-76
-77
-33
907
193
125
149
197
327
33
206
134
265
140
0,00
0,19
0,51
0,64
0,20
0,03
0,27
0,27
0,59
0,28
0,22
Women
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
1,0
6,7
5,7
3,5
3,2
3,3
18,9
6,6
9,0
2,7
3,4
1,1
5,2
5,1
3,1
3,1
3,2
21,5
7,1
8,5
2,6
3,3
396
20
42
20
63
148
-5
34
6
11
56
218
-38
-17
-64
-34
60
-16
-7
-30
-82
-31
575
78
102
104
159
236
7
75
43
104
142
0,00
0,49
0,16
0,64
0,20
0,00
0,44
0,11
0,73
0,82
0,21
Men
Manager
Professional
Technician
Clerk
Sales and services
Skilled agriculture
Craft and related trade
Plant and machine operator
Elementary
Domestic worker
0,8
4,1
5,5
3,6
4,6
3,6
13,3
2,8
3,6
2,7
16,1
0,8
4,1
5,0
4,2
4,2
3,3
14,3
3,0
3,1
2,6
14,1
257
58
-11
9
15
26
17
40
22
83
-2
81
-30
-78
-70
-48
-84
-1
-86
-69
-58
-14
433
145
57
87
78
136
35
165
113
224
11
0,00
0,20
0,76
0,83
0,64
0,64
0,07
0,53
0,63
0,25
0,77
Quarterly Labour Force Survey, Quarter 4, 2013