The changing nature of work

From: Employment and Social Development Canada

Overall summary

The labour market is quite strong, highly educated workers are now more in demand, and they experience stronger labour market outcomes than workers with less education. While an increase in the incidence of non-standard work could pose challenges for workers, over the past 20 years the incidence of this type of work has not increased, but it may rise in the future.

Moving forward there is the potential for change as a number of forces are impacting the labour market, including the aging population, technological advancements, and globalization. These are creating both challenges and opportunities and are leading to: 1) slower labour force growth and labour/skills shortages, 2) an increasing premium for high-skill workers and 3) new forms of employment. While continued change is expected, there is considerable uncertainty regarding its pace and the extent of disruption on jobs and wages.

Given this uncertainty, it will be important for policies and programs to be robust and nimble.

Alternate formats

The changing nature of work (complete version) [PDF – 452 KB]

Figure 1: Current State
Figure 1 – Text version

1. Record high employment rate and historically low unemployment

For Canadians aged 15 to 64, from 1978 to 2018 the employment rate increased from 63.7% to 73.8% while the unemployment rate decreased from 8.5% to 5.9%.

Table: Employment rate and unemployment rate (age 15 to 64, %)
Year Unemployment rate (%) Employment rate (%)
1978 8.5% 63.7%
1979 7.6% 65.4%
1980 7.6% 66.1%
1981 7.7% 67.0%
1982 11.2% 63.9%
1983 12.2% 63.7%
1984 11.5% 64.6%
1985 10.6% 66.0%
1986 9.7% 67.4%
1987 8.9% 68.6%
1988 7.8% 70.0%
1989 7.6% 70.8%
1990 8.2% 70.3%
1991 10.4% 68.3%
1992 11.3% 66.8%
1993 11.5% 66.5%
1994 10.5% 67.0%
1995 9.6% 67.5%
1996 9.7% 67.3%
1997 9.2% 68.0%
1998 8.4% 68.9%
1999 7.7% 70.0%
2000 6.9% 70.9%
2001 7.3% 70.8%
2002 7.7% 71.4%
2003 7.6% 72.2%
2004 7.3% 72.5%
2005 6.8% 72.4%
2006 6.4% 72.8%
2007 6.1% 73.5%
2008 6.2% 73.5%
2009 8.4% 71.4%
2010 8.1% 71.5%
2011 7.6% 71.8%
2012 7.4% 72.1%
2013 7.2% 72.4%
2014 7.0% 72.3%
2015 7.0% 72.5%
2016 7.1% 72.6%
2017 6.4% 73.4%
2018 5.9% 73.8%

2. Employment rates are at an historical peak for most age groups

In 2018 employment rates for most age groups were at historical peaks, including for those aged 25 to 54 years old (employment rate of 82.7% in 2018), those aged 55 to 64 years old (employment rate of 62.9% in 2018), and those aged 65 years and over, who were close to their historical peak of 13.5% - in 2018 their employment rate was 13.4%.

Table: Employment rates by age group (2018, %)
Age group Employment rate in 2018 (%) Historical peak (%)
15 to 24 years 56.3% 63.4%
25 to 54 years 82.7% 82.7%
55 to 64 years 62.9% 62.9%
65 years and over 13.4% 13.5%

3. Increasingly, jobs require more skills and training

From 1988 to 2018, the share of jobs requiring at most a high school diploma decreased from 43% to 37%, while managerial, professional, and skilled trades/technical positions increased from 56% to 63%.

Table: Employment shares by skill level (%)
 Skill Level (%) 1988 1998 2008 2018
Managerial 11% 12% 10% 9%
Professionals 13% 16% 17% 20%
Skilled trades and technical 32% 32% 32% 34%
Jobs requiring
at most a high school diploma
43% 41% 40% 37%

4. Highly educated workers have better labour market performance

From 1998 to 2018, workers with high levels of education have consistently had lower unemployment rates than less educated workers. For example, in 2018, those with less than a high school education had an unemployment rate of 8.8%, compared to 5.7% for those with high school education, 4.8% for those with post-secondary certificate/diploma and 4.1% for those with a university degree.

Table: Unemployment rates by highest level of educational attainment (age 25-64, %)
Year Less than high school High school Postsecondary certificate or diploma University degree
1998 11.9% 7.1% 6.3% 4.1%
1999 10.8% 6.4% 5.6% 4.1%
2000 10.2% 5.6% 5.0% 3.7%
2001 10.5% 5.9% 5.6% 4.5%
2002 11.0% 6.6% 5.8% 4.9%
2003 10.8% 6.3% 5.5% 5.3%
2004 10.1% 6.0% 5.3% 4.7%
2005 9.8% 5.8% 5.1% 4.4%
2006 9.4% 5.5% 4.8% 3.8%
2007 9.5% 5.3% 4.7% 3.5%
2008 9.1% 5.4% 4.6% 4.0%
2009 12.5% 7.9% 6.6% 5.0%
2010 12.5% 7.5% 6.3% 5.1%
2011 11.8% 7.0% 5.7% 4.8%
2012 10.8% 6.7% 5.5% 4.8%
2013 11.1% 6.7% 5.4% 4.5%
2014 10.7% 6.6% 5.3% 4.7%
2015 10.7% 6.9% 5.4% 4.6%
2016 11.0% 7.0% 5.7% 4.7%
2017 9.9% 6.3% 5.3% 4.2%
2018 8.8% 5.7% 4.8% 4.1%

5. Wages have increased more for high-skill workers

From 1998 to 2018, wages of high-skill workers have increased more than lower-skilled workers. For example, wages for workers in managerial roles increased by 40% over this time period while wages for workers in jobs requiring at most a high school diploma rose by 9%.

Table: Cumulative growth of real average hourly wage, by skill level (1998=100)
Year Managerial Professionals Skilled trades and technical Jobs requiring at most a high school diploma
1998 100.0 100.0 100.0 100.0
1999 108.3 103.5 99.1 98.6
2000 111.2 103.6 99.8 98.7
2001 114.8 104.4 100.1 99.5
2002 117.3 106.0 100.2 98.9
2003 117.0 105.9 99.4 98.8
2004 119.0 107.6 99.5 98.7
2005 118.3 107.1 100.3 99.4
2006 121.2 108.6 101.4 99.6
2007 121.4 109.5 102.7 101.1
2008 122.9 111.3 104.3 102.3
2009 125.4 113.9 107.7 105.1
2010 126.0 114.0 107.1 105.7
2011 124.9 114.2 106.4 104.8
2012 129.9 114.6 107.4 105.8
2013 131.9 116.5 109.0 106.8
2014 133.6 116.0 109.4 106.2
2015 133.5 116.2 111.2 108.0
2016 139.4 117.4 110.4 106.2
2017 140.3 116.6 109.8 106.8
2018 140.5 116.3 110.6 109.0

6. Incidence of non-standard work has not grown yet

In 1998, 38% of employment was in non-standard work, this declined slightly to 37.1% in 2018. However, the composition of non-standard work has changed, from 1998 to 2018 permanent part-time employment decreased from 11.1% to 10.5%, self-employment decreased from 17.2% to 15.3%, and temporary employment increased from 9.8% to 11.3%.

Table: Employment shares by various types of non-standard work (15 years and over, %)
 Year Permanent part-time Self-employed Temporary Non-Standard
1998 11.1% 17.2% 9.8% 38.0%
1999 10.8% 17.0% 10.0% 37.7%
2000 10.6% 16.1% 10.5% 37.2%
2001 10.6% 15.3% 10.8% 36.7%
2002 10.9% 15.2% 11.0% 37.1%
2003 11.3% 15.4% 10.5% 37.2%
2004 11.0% 15.4% 10.8% 37.2%
2005 10.7% 15.6% 11.1% 37.4%
2006 10.6% 15.3% 11.1% 36.9%
2007 10.7% 15.5% 11.0% 37.2%
2008 11.1% 15.6% 10.4% 37.0%
2009 11.4% 16.1% 10.5% 38.0%
2010 11.5% 15.8% 11.2% 38.5%
2011 11.2% 15.5% 11.6% 38.2%
2012 10.8% 15.4% 11.5% 37.7%
2013 11.1% 15.4% 11.4% 37.9%
2014 11.0% 15.3% 11.3% 37.7%
2015 10.8% 15.4% 11.3% 37.5%
2016 10.9% 15.3% 11.2% 37.4%
2017 10.8% 15.2% 11.6% 37.7%
2018 10.5% 15.3% 11.3% 37.1%

Source: Labour Force Survey, Statistics Canada

Figure 2: Key drivers of change: Technology and globalization
Figure 2 – Text version

Key drivers of change: Technology and globalization

Large risk of automation but estimates vary from modest to dramatic

Researchers, using varying methodologies, have come to different estimates of the impact of automation on workers. For example, applying the Frey/Osborne methodology to Canadian data, it is estimated that 42% of workers are at high risk of being affected by automation, while the OECD predicts that 13% are at high risk of being affected by automation.

Table: Share of workers at high risk of being affected by automation (%)
Researcher/ Institution %
Frey/Osborne 42%
C.D. Howe 35%
McKinsey 18%
OECD 13%

Caution: results differ in part due to methodological differences.

Sources: BII+E, “The Talented Mr. Robot”, 2016; C.D. Howe Institute, “Future Shock? The Impact of Automation on Canada’s Labour Market”, 2017; and, OECD, “OECD Employment Outlook 2019: The Future of Work – How does Canada compare?”, 2019

Workers performing routine tasks more at risk of automation, especially those with low skills

In the next 10 years it is estimated that the employment share of routine tasks will decrease by 1.4 percentage points (PPTS) and the employment share of non-routine cognitive tasks will increase by 1.6 percentage points.

Table: Changes in employment shares by tasks expected in the next 10 years (PPTS)
Type of Work Change in employment share over the next 10 years (PPTS)
Routine -1.4
Non-routine
cognitive
1.6

Source: Employment and Social Development Canada, Canadian Occupational Projection System, 2017 Projections

Lower educated workers are more likely to be in jobs which are comprised of routine tasks. For example, 18% of workers with a university degree are in a job involving mainly routine tasks, while 34% of workers without a high school degree are in such a job.

Table: Share of “mainly routine tasks” jobs currently, by educational level (%)
Education Level Share of mainly routine tasks jobs (%)
University degree 18%
All levels of education 25%
No high school degree 34%

Sources: Employment and Social Development Canada, Job Bank Data; and, Labour Force Survey, Statistics Canada

Automation will also have potential impacts on wages

It is estimated that over 10 years automation could increase real wages of non-routine workers by 16.3% and could decrease the real wages of routine workers by 18.1% along with increasing productivity by 7.8%.

Table: Impact of automation on wages and productivity (%)
Year Change in real wages of routine workers (%) Change in Productivity (%) Change in real wages of non-routine workers (%)
0 -3.6% 1.1% 2.3%
1 -7.4% 2.3% 4.6%
2 -10.1% 3.2% 6.5%
3 -12.2% 4.0% 8.1%
4 -13.8% 4.6% 9.5%
5 -15.0% 5.3% 10.8%
6 -15.9% 5.8% 12.0%
7 -16.6% 6.4% 13.1%
8 -17.2% 6.9% 14.2%
9 -17.7% 7.3% 15.2%
10 -18.1% 7.8% 16.3%

Source: Berg, Andrew et al. Should We Fear the Robot Revolution? (The Correct Answer is Yes), IMF, 2018, Figure 9b

These drivers will result in a continued reallocation of jobs across sectors, …

From 2001 to 2018 jobs in cut and sew clothing manufacturing declined from 67,879 to 15,151 while jobs in computer systems design and related services increased from 151,477 to 245,518.

Table: Employment in cut and sew clothing manufacturing and computer systems design and related services
Year Employment in cut and sew clothing manufacturing  Employment in computer systems design and related services 
2001 67,879 151,477
2002 60,928 147,796
2003 57,209 144,406
2004 51,573 139,947
2005 42,594 144,714
2006 37,542 151,230
2007 32,888 153,645
2008 27,195 157,618
2009 22,465 156,395
2010 19,782 155,558
2011 18,904 162,843
2012 17,388 161,717
2013 16,345 168,921
2014 15,182 180,863
2015 15,638 192,585
2016 15,337 207,216
2017 15,514 225,521
2018 15,151 245,518

Source: Survey of Employment, Payrolls and Hours, Statistics Canada, Sectors 3152 and 5415

…Impacting where and how work is being performed, …

For example, from June 2017 to July 2018, 1.2% of the Canadian labour force had been involved in online freelance labour. However, from August 2016 to August 2019 requests by employers in Canada for such labour increased by 110%. And it is expected that there will be further growth.

Sources: Online Labour Index; and, Digital Economy Survey, Labour Force Survey, Statistics Canada

…and how gains in productivity are shared

Between 1997 and 2017 labour productivity growth outpaced median hourly earnings growth, labour productivity grew by 27% while median hourly earnings grew by 17%.

Chart: Cumulative growth of labour productivity and median hourly earnings (1997=100)
Year Hourly Labour productivity Median hourly earnings
1997 100.0 100.0
1998 101.9 101.2
1999 104.5 102.5
2000 107.7 104.2
2001 109.4 103.6
2002 111.2 105.1
2003 111.5 103.7
2004 112.4 103.1
2005 115.0 107.0
2006 116.2 107.1
2007 116.2 108.4
2008 115.8 112.6
2009 116.4 111.5
2010 117.5 110.6
2011 119.5 110.7
2012 119.8 112.5
2013 121.4 114.3
2014 124.5 116.3
2015 124.2 115.9
2016 124.8 115.3
2017 126.9 117.0

Sources: Labour Productivity Measures: Provincial and Territories (Annual); Productivity Measures and Related Variables: National and Provincial (Annual); Survey of Consumer Finances; Survey of Labour and Income Dynamics; Canadian Income Survey; and, Provincial and Territorial Gross Domestic Product by Income and by Expenditure Accounts, Statistics Canada

Figure 3: Key Drivers of Change: Demographics
Figure 3 – Text version

Key Drivers of Change: Demographics

Canadians are aging…

Canada’s population is aging. In 1980, 9.4% of the population was over 65, this increased to 17.2% in 2018 and is expected to rise to 25.4% by 2060.

Table: Percentage of Canadian population 65 years and over
Year Canadians over 65 (%)
1980 9.4%
1981 9.6%
1982 9.7%
1983 9.9%
1984 10.0%
1985 10.2%
1986 10.5%
1987 10.7%
1988 10.9%
1989 11.1%
1990 11.3%
1991 11.5%
1992 11.6%
1993 11.7%
1994 11.8%
1995 12.0%
1996 12.1%
1997 12.2%
1998 12.3%
1999 12.5%
2000 12.6%
2001 12.6%
2002 12.7%
2003 12.8%
2004 13.0%
2005 13.1%
2006 13.3%
2007 13.4%
2008 13.7%
2009 13.9%
2010 14.1%
2011 14.4%
2012 14.8%
2013 15.3%
2014 15.6%
2015 16.0%
2016 16.4%
2017 16.8%
2018 17.2%
2019 17.7%
2020 18.2%
2021 18.7%
2022 19.2%
2023 19.6%
2024 20.1%
2025 20.6%
2026 21.1%
2027 21.5%
2028 22.0%
2029 22.4%
2030 22.8%
2031 23.1%
2032 23.3%
2033 23.4%
2034 23.6%
2035 23.7%
2036 23.9%
2037 24.0%
2038 24.0%
2039 24.1%
2040 24.2%
2041 24.2%
2042 24.3%
2043 24.3%
2044 24.3%
2045 24.4%
2046 24.5%
2047 24.5%
2048 24.6%
2049 24.7%
2050 24.7%
2051 24.8%
2052 24.8%
2053 24.8%
2054 24.9%
2055 25.0%
2056 25.1%
2057 25.2%
2058 25.3%
2059 25.3%
2060 25.4%

Sources: Annual Demographic Estimates: Canada, Provinces and Territories; and, Canada, Population Projections for Canada, Provinces and Territories, Statistics Canada

...and extending their careers

More Canadians aged 55 years and over are participating in the labour force than in the past. For example, in 1988 26.6% of Canadians aged 55 years and over were participating in the labour force, this increased to 37.8% in 2018.

Table: Labour force participation rates of Canadians aged 55 years and over
Year Canadians aged 55 years and over in the labour force (%)
1988 26.6%
1989 26.2%
1990 25.9%
1991 25.3%
1992 24.9%
1993 24.3%
1994 24.6%
1995 23.8%
1996 23.8%
1997 24.2%
1998 24.6%
1999 25.1%
2000 25.6%
2001 26.0%
2002 27.8%
2003 30.1%
2004 30.8%
2005 31.6%
2006 32.2%
2007 33.3%
2008 34.2%
2009 35.0%
2010 35.8%
2011 36.2%
2012 36.6%
2013 37.2%
2014 37.2%
2015 37.3%
2016 37.7%
2017 37.9%
2018 37.8%

Source: Labour Force Survey, Statistics Canada

Future labour force growth will increasingly rely on immigration

Domestic supply is contributing less to labour force growth than in the past and immigration is contributing more. For example, from 1976 to 1980, domestic growth accounted for an increase in the labour force of 1,477,330 people, while immigration led to an increase of 257,795. It is estimated that from 2024 to 2028 that domestic supply will lead to a reduction in the labour force of 56,965 people while immigration will increase the labour force by 888,565.

Table: Labour force growth by source
Period Domestic growth Immigration
1976 to 1980 1,477,330 257,795
1981 to 1985 925,180 221,520
1986 to 1990 814,730 403,770
1991 to 1995 -27,270 471,870
1996 to 2000 697,635 455,065
2001 to 2005 854,190 596,010
2006 to 2010 582,956 575,444
2011 to 2015 222,448 605,052
2016 to 2018 99,649 435,751
2019 to 2023 203,233 809,167
2024 to 2028 -56,966 888,566

Sources: Census and Labour Force Survey, Statistics Canada; and, Employment and Social Development Canada, Canadian Occupational Projection System, 2017 Projections

Figure 4: Key consideration
Figure 4 – Text version
  • These drivers will likely continue to affect Canada’s labour market, yet the impacts are unclear:
    • Most workers will remain employed, but the nature of work may change
      • Upskilling and reskilling will be key to adapt to change
    • Some jobs will become safer, more flexible and less physically-demanding
    • Some workers could be displaced
      • Income support and re-training programs may be required
    • All workers will require transferrable skills
      • Training will need to focus on skills which complement technology
  • Aging will further constrain the supply of workers
    • Technology, immigration, and wage increases may help to mitigate
  • Policies and programs need to be robust and adaptable to multiple scenarios

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