Quarterly Labour Force Survey Q2:2019
Risenga Maluleke Statistician-General
#StatsSA
Quarterly Labour Force Survey Q2:2019 Risenga Maluleke #StatsSA - - PowerPoint PPT Presentation
Quarterly Labour Force Survey Q2:2019 Risenga Maluleke #StatsSA Statistician-General South A fricas unemployment rate increased by 1,4 percentage points to 29,0% in Q2 of 2019. The highest unemployment rate since Q1 of 2008 Unemployment rate
Risenga Maluleke Statistician-General
#StatsSA
27,6%
29,0%
0% 5% 10% 15% 20% 25% 30% 35% 40% Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
South Africa’s unemployment rate increased by 1,4 percentage points to 29,0% in Q2 of 2019. The highest unemployment rate since Q1 of 2008
Unemployment rate from Q1:2008 to Q2:2019
25,5% 29,0% 0% 10% 20% 30% 40% 23,2% 29,0% 0% 10% 20% 30% 40% Unemployment rate from Q2:2009 to Q2:2019 27,2% 29,0% 0% 10% 20% 30% 40%
10 Years 5 Years 1 Year
Q2 2009 Q2 2019
The unemployment rate has remained stubbornly high over time. There has been 1,4 percentage points increase between Q1:2019 and Q2:2019.
Unemployment rate increased by
5,8 percentage points between
Q2:2009 and Q2:2019 Q2 2019 Q2 2014 Unemployment increased from 25,5% in Q2:2014 to 29,0% in Q2:2019 by
3,5 percentage points
Q2 2019 Q2 2018 Unemployment rate increased by 1,8
percentage points compared to
the same period last year
Unemployed Employed
2,7
Other NEA
Not Economically Active
Discouraged work seekers
15,5 million
ILO hierarchy – Employed first then unemployed and the remainder is NEA (including discouraged job-seekers). 3 mutually exclusive groups. Cannot be in two groups at the same time,
Labour force
23,0 million
38,4 million
People of working age in South Africa (15 – 64 year olds)
M M M
Employed Unemployed
South Africa’s
unemployment rate stands at
29,0%
M
Increased by 1,4 ppts between Q1:2019 and Q2:2019
The working age population (15-64 years) in Q2:2019 was 38,4 million
2008
Other Not Economically Active Unemployed Employed Labour Force
Discouraged work seekers Not Economically Active
2019 Changes between Q1:2019 and Q2:2019
5 000 10 000 15 000 20 000 25 000 30 000 35 000 40 000
Jan-Mar 08 Apr-Jun 08 Jul-Sep 08 Oct-Dec 08 Jan-Mar 09 Apr-Jun 09 Jul-Sep 09 Oct-Dec 09 Jan-Mar 10 Apr-Jun 10 Jul-Sep 10 Oct-Dec 10 Jan-Mar 11 Apr-Jun 11 Jul-Sep 11 Oct-Dec 11 Jan-Mar 12 Apr-Jun 12 Jul-Sep 12 Oct-Dec 12 Jan-Mar 13 Apr-Jun 13 Jul-Sep 13 Oct-Dec 13 Jan-Mar 14 Apr-Jun 14 Jul-Sep 14 Oct-Dec 14 Jan-Mar 15 Apr-Jun 15 Jul-Sep 15 Oct-Dec 15 Jan-Mar 16 Apr-Jun 16 Jul-Sep 16 Oct-Dec 16 Jan-Mar 17 Apr-Jun 17 Jul-Sep 17 Oct-Dec 17 Jan-Mar 18 Apr-Jun 18 Jul-Sep 18 Oct-Dec 18 Jan-Mar 19 Apr-Jun 19
Employed Unemployed Not Economically Active
Labour market indicators between Q1:2008 and Q2:2019
+455 000 q/q
+21 000 q/q
The working age population (15 – 64 years) increased by 150 000 people between Q1:2019 and Q2:2019
Q2:2019
QLFS Q4:2018
The number of employed persons increased by 21 000 to 16,3 million in Q2:2019
Number of employed From Q2:2009 to Q2:2019 The number of employed people increased by 1,9 million from 14,4 million in Q2:2009 to 16,3 million in Q2:2019
14,4 16,3 2 4 6 8 10 12 14 16 18
Million
15,1 16,3 2 4 6 8 10 12 14 16 18
Million
16,3 16,3 2 4 6 8 10 12 14 16 18
Million
10 Years 5 Years 1 Year
The number of employed people increased by 25 thousand from 16,29 million in Q2:2018 to 16,31 million in Q2:2019 The number of employed people increased by 1,2 million from 15,1 million in Q2:2014 to 16,3 million in Q2:2019
Q2:2009 Q2:2019 Q2:2014 Q2:2019 Q2:2018 Q2:2019
44,5% 42,4% 57,9% 59,8%
35,0 45,0 55,0 65,0 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Employed / population ratio (Absorption) Labour force participation rate
The Labour force participation rate increased by 1,9 percentage points from 57,9% in Q2:2009 to 59,8% in Q2:2019
Labour force participation rate is the proportion of the working-age population that is either employed
Absorption rate is the proportion of the working-age population that is employed.
13,4 % Points difference 17,4% Points difference
Labour force participation and absorption rate, 2009-2019
Unemployment rate Absorption rate Participation rate
Change: Percentage points Q1:2019 to Q2:2019
Labour market rates vary significantly depending on education level
Labour market rates by education level, Q2:2019 18,3% 9,1% 29,4% 34,5% 29,0%
Other tertiary Graduates Matric Less than matric Total
69,3% 80,6% 47,8% 32,7% 42,4% 84,9% 88,7% 67,7% 49,9% 59,8%
+1,9 +1,0 +1,1 +1,3 +0,2 +0,5
+0,5
+1,4 +2,0 +0,7 +1,2 +1,2
56,4% 35,6% 23,3% 17,2% 10,5% 29,0%
15-24 yrs 25-34 yrs 35-44 yrs 45-54 yrs 55-64 yrs 15-64 yrs
26,0% 74,0% 80,4% 75,3% 45,3% 59,8% 11,3% 47,6% 61,6% 62,4% 40,5% 42,4%
+0,4 +1,5 +1,5 +1,4 +1,2 +1,2
+0,2 +1,5 +0,6 +1,2 +0,5 +1,2
Unemployment rate Absorption rate Participation rate
Change: Percentage points Q1:2019 to Q2:2019
Labour market rates by age group, Q2:2019
The unemployment rate for those aged 25-34 (35,6%) is more than double that of the 45-54 (17,2%) year olds.
15 – 24 years 35 – 64 years
Change: Percentage points Q1:2019 to Q2:2019
Unemployment rate by education level and age group, Q2:2019
The unemployment rate among the youth is higher irrespective of education level.
57,3% 33,7% 55,8% 58,9% 56,4%
Other tertiary Graduates Matric Less than matric Total
26,4% 13,4% 33,3% 42,8% 35,6% +0,9 +0,4 +1,2 9,3% 5,3% 18,1% 25,3% 19,4% +0,5 +1,2 +0,7
+2,7
+9,8 +1,4 +1,8 +1,3 +1,1 +2,0 +1,0 0,0
25 – 34 years
Q2:2019
Education Work
Those young people (15-34 years) who are categorised as NEET are considered to be disengaged from both work and education. Youth NEET rate is calculated as the total number of youth who are NEET as a proportion of the total youth-specific working-age population
Not in employment, education or training (NEET)
28,9% 30,5% 34,4% 34,1%
20% 22% 24% 26% 28% 30% 32% 34% 36% Q2: 2018 Q2: 2019
NEET (15-24 years) by sex
Approximately 3,3 million (32,3%) out of 10,3 million young people aged 15-24 years were not in employment, education or training (NEET). The overall NEET rate increased by 0,7 of a percentage point in Q2:2019 compared to Q2:2018.
FEMALE NEET Down by 0,2 of a percentage point MALE NEET Up by 1,6 percentage points
15-24 YEARS
28,1% 28,6% 30,4% 32,3% 33,2% 34,1% 34,5% 34,8% 35,4% 37,0% LP WC GP RSA FS MP EC KZN NW NC
(-3,4) (+0,2) (+0,5) (-1,1) (-0,3) (+0,7) (+1,8) (+4,7) (+0,6) (+1,4) ( ) Y/Y Change
Provincial NEET rate (Year on Year Change Q2:2018 – Q2:2019)
NC recorded the highest rate of young people aged 15-24 years not in employment, education or training in Q2: 2019.
35,0% 36,8% 43,6% 43,9%
20% 25% 30% 35% 40% 45% 50% Q2: 2018 Q2: 2019 FEMALE NEET MALE NEET
NEET (15-34 years) by sex
Approximately 8,2 million (40,3%) out of 20,4 million young people aged 15-34 years, were not in employment, education or training (NEET). The overall NEET rate increased by 1,0 percentage point y/y.
Female NEET Up by 0,3 of a percentage point Male NEET Up by 1,8 percentage points
15-34 YEARS
Provincial NEET rate (Year –on – Year Change Q2:2018 – Q2:2019)
The NW province had the highest rate of young people aged 15-34 years not in employment, education or training at 45,9%. The rate increased by 1,8 percentage points
year-on-year. 32,6% 37,5% 38,7% 40,3% 41,5% 41,8% 42,9% 44,6% 45,2% 45,9%
WC GP LP RSA MP FS KZN EC NC NW
( ) Y/Y Change
(+1,8) (+0,7) (+1,5) (-0,3) (+4,5) (+1,3) (+1,0) (+1,5) (+0,4) (+1,9)
Q2:2019
5 000 49 000
Q/Q
49 000
Q/Q
The number of persons employed increased by 21 000 in Q2:2019 to 16,3 million Q/Q. Formal Sector (Non agricultural)
(11,2 million jobs)
Informal Sector (Non agricultural)
(3,0 million jobs)
Agriculture
(842 thousand jobs)
Private households
(1,3 million jobs)
increased by decreased by increased by decreased by
Q/Q
114 000
Q/Q
Trade, construction and agriculture have higher employment shares relative to their GDP contribution.
Share of Nominal GDP (Q1:2019)
24,7% 15,0% 20,3% 13,1% 3,9% 9,7% 1,9% 7,6% 3,8%
0,9% 2,3% 5,2% 6,0% 7,7% 8,4% 11,0% 15,3% 21,0% 22,2%
Utilities Mining Agriculture Transport Private Households Construction Manufacturing Finance Trade Services
Employment and GDP share per industry
Employment shares, Q2: 2019
1 5 9 24 48 84
Private households Transport Mining Finance Utilities Agriculture Manufacturing Construction Community and social services Trade
Quarter-on-quarter change (‘000)
45 96 210
Construction Community and social services Mining Private households Transport Utilities Agriculture Manufacturing Finance Trade
Year-on-year change (‘000) The largest quarter-on-quarter employment gains were observed in trade, services and construction. Largest declines were observed in private households, transport, mining and
finance.
Employment changes by industry
84 000
Mainly driven by gains in: Other retail trade. Retail trade not in stores. Restaurants, bars and canteens.
Trade Construction Services
Mainly driven by gains in: Building of complete constructions and parts thereof
24 000
Q/Q Q/Q
Employment gains were mainly driven by trade (84 000), services (48 000), construction (24 000) and manufacturing (9 000).
Quarter-on-quarter employment changes: Gains
48 000
Q/Q
Manufacturing
9 000
Q/Q
Mainly driven by gains in: Other services activities Education Mainly driven by gains in manufacture of: Beverages General purpose machinery Structural metals Basic iron and steel
49 000
Private households Mining Transport
Mainly driven by losses in: Mining of non-ferrous metal ores
36 000
Employment losses were mainly driven by private households, transport, mining and finance.
Quarter-on-quarter employment changes: Losses
42 000
Finance
21 000
Mainly driven by losses in: Other land transport Telecommunication Mainly driven by losses in: Architectural, engineering and
activities Legal, bookkeeping and auditing activities
Q/Q Q/Q Q/Q Q/Q
R
Employment share by
Close to a third (28,9%) of all people employed in Q2:2019 were employed in elementary and domestic work occupations.
0,3% 5,1% 6,1% 8,5% 8,8% 9,4% 10,5% 12,0% 16,5% 22,8%
Skilled agriculture Professional Domestic worker Plant and machine operator Technician Manager Clerk Craft and related trade Sales and services Elementary
0,0 5,0 10,0 15,0 20,0 25,0
The formal sector in South Africa accounts for 68,5% of total employment.
10,1M 11,2M 2,2M 3,0M
2 4 6 8 10 12
Millions
Informal sector employment Formal sector employment
Informal sector employment increased from 2,2 million in Q2:2009 to 3,0 million in Q2:2019
Formal sector employment has shown an upward trend, increasing from 10,1 million in Q2:2009 to 11,2 million in Q2:2019
Q2:2009 Q2:2019
Q2:2019
2,6M 4,3M 4,8M 1,7M 1,9M 1,9M
4,3M
6,7M
1 2 3 4 5 6 7 8
71,5% 28,5% 60,8% 39,2%
The number of unemployed people in South Africa increased from 4,3 million in Q2:2009 to 6,7 million in Q2:2019. The proportion of those in long-term unemployment increased from 60,8% in Q2:2009 to 71,5% in Q2:2019
Number of unemployed for one year or longer
Long Term Unemployed* Short Term Unemployed Number of unemployed
* Unemployed for a year or longer
Q2 2009 Q2 2019
M
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Q2:2009 Q2:2019
28,7%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Q2:2019 Q2:2019 31.3% 27,1%
SA: 29,0% 42,5% 35,0% SA: 38,5%
Official Unemployment Rate
29,0% (+1,4 % Points Change Q/Q)
Expanded Unemployment Rate
38,5% (+0,5 % Point Change Q/Q)
people were unemployed in Q2:2019 An increase of 232 000 q/q
Expanded Definition includes the following
2,7 M
0,8 M
people were unemployed in Q2:2019 An increase of 455 000 q/q
6,6% 11,4% 22,2% 31,1% 27,6% 7,4% 11,2% 22,5% 32,7% 29,0%
White Indian/Asian Coloured Black African Both sexes
Unemployment Rate by Population Group
Q2:2019 Q1:2019
6,4% 9,4% 21,4% 29,7% 26,1% 6,1% 8,5% 22,1% 30,8% 27,1%
Male Unemployment Rate By Population Group
Q2:2019 Q1:2019 Black women are the most vulnerable with unemployment rate of over 30%.
OFFICIAL unemployment rate
by population group and sex
Black African women are the most vulnerable with an unemployment rate of over 30%.
6,8% 15,2% 23,2% 32,8% 29,3% 9,2% 16,2% 23,0% 35,0% 31,3%
Female Unemployment Rate by Population Group
Q2:2019 Q1:2019
9,4% 15,9% 28,8% 42,5% 38,0% 9,8% 15,5% 29,2% 42,0% 38,5%
White Indian/Asian Coloured Black African Both sexes
Expanded unemployment rate by population group
Q2:2019 Q1:2019
8,0% 12,5% 27,2% 39,4% 34,9% 7,6% 12,3% 27,0% 39,5% 35,0%
Male expanded unemployment rate
Q2:2019 Q1:2019
11,3% 21,8% 30,5% 45,9% 41,5% 12,7% 21,2% 31,6% 46,9% 42,5%
Female expanded unemployment rate
Q2:2019 Q1:2019
Irrespective of sex, the black African and coloured population groups remain vulnerable in the labour market
EXPANDED unemployment rate by
population group and sex
Official Expanded
Highest official unemployment rate recorded in EC and highest expanded unemployment rate recorded in NW. LP, KZN and NC provinces all have more than 15 % points
difference between their expanded and official unemployment rates
Provincial unemployment rate: Official vs Expanded Q2:2019 41,1% 23,8% 42,1% 38,5% 44,8% 35,0% 46,6% 41,6% 43,5% 46,5% 20,3% 20,4% 26,1% 29,0% 29,4% 31,1% 33,0% 34,4% 34,7% 35,4%
LP WC KZN RSA NC GP NW FS MP EC
20,8% points difference 15,4% points difference 16,0% points difference
Q2:2019
Home-maker
16,3%
Illness/disability
10,1%
Too old/young to work; 9,7%
Discouraged work seekers; 17,8%
Q1:2019 to Q2:2019 % Change
5 main reasons for NEA NEA
M M M M
15,5 M
Quarter-on-quarter changes Thousand Student 143 Homemaker
Illness/disability
Too young/too old to work
Discouraged work seekers
Other
Down by 1,2 % points Down by 0,1
Q1:2019 to Q2:2019 Change in levels
Down by 0,2 of a % point Up by 1,7 % points Down by 0,3
15,5 million people aged 15 – 64 years were not economically active. This is a decrease of 326 000 q/q
Reasons why – Not economically active (NEA)
UNEMPLOYMENT RATE EMPLOYMENT GAINS EMPLOYMENT LOSSES YOUTH
Unemployment rate increased by 1,4 percentage points to 29,0%
Absorption rate decreased by 0,2
force participation rate increased by 1,0 percentage point Employment gains were recorded in Trade (84
000), Services (48 000),
Construction (24 000) and Manufacturing (9 000). Largest employment losses were observed in
Private HH (49 000),
Transport (42 00), Mining (36 000) and Finance (21 000) Of the 10,3 million persons aged 15-24 years, 32,3% were not in employment, education or training.
Q2:2019
Q2:2019