Indicators and targets: A workforce that represents all segments of Canadian society

 Jobs and innovation: Tracking progress and results

People and skills

Target: Double the number of small to medium enterprises (SMEs) majority owned by women to 340,000 by 2025

Figure 2.1: Number and Percentage of Majority Women-owned SMEs

Women are significantly underrepresented as business owners in Canada. Increasing the share of women-owned businesses will allow Canada to benefit economically from firm growth, and also from the diverse perspectives, ideas, and approaches of business owners who are women.

Description of Figure 2.1
Figure 2.1: Number and Percentage of Majority Women-owned SMEs
Year % of businesses majority owned by female Number of businesses majority owned by female

Sources:

2000 14.3% 127,938
2001 13.9% 125,942
2004 13.6% 129,585
2007 14.9% 152,591
2011 15.5% 167,267
2014 15.7% 173,218
Target
2025 340,000

Figure 2.2: Number of Graduates in Canada that are Male and Female (and unknown) across selected STEM Fields

Women are also significantly underrepresented in a number of key science and technology-related fields of study.

Description of Figure 2.2
Figure 2.2 : Number of Graduates in Canada that are Male and Female (and unknown) across selected STEM Fields
Year Field of Study Gender Number of GraduatesFootnote 1

Sources:

2000 Physical and life sciences and technologies Males 7,356
2000 Physical and life sciences and technologies Females 8,916
2000 Physical and life sciences and technologies Sex unknown 0
2000 Mathematics, computer and information sciences Males 11,703
2000 Mathematics, computer and information sciences Females 5,808
2000 Mathematics, computer and information sciences Sex unknown 18
2000 Architecture, engineering and related technologies Males 26,301
2000 Architecture, engineering and related technologies Females 6,498
2000 Architecture, engineering and related technologies Sex unknown 27
2008 Physical and life sciences and technologies Males 8,592
2008 Physical and life sciences and technologies Females 11,637
2008 Physical and life sciences and technologies Sex unknown 6
2008 Mathematics, computer and information sciences Males 8,244
2008 Mathematics, computer and information sciences Females 3,498
2008 Mathematics, computer and information sciences Sex unknown 69
2008 Architecture, engineering and related technologies Males 34,368
2008 Architecture, engineering and related technologies Females 7,476
2008 Architecture, engineering and related technologies Sex unknown 72
2012 Physical and life sciences and technologies Males 10,086
2012 Physical and life sciences and technologies Females 11,979
2012 Physical and life sciences and technologies Sex unknown 6
2012 Mathematics, computer and information sciences Males 9,132
2012 Mathematics, computer and information sciences Females 3,675
2012 Mathematics, computer and information sciences Sex unknown 9
2012 Architecture, engineering and related technologies Males 45,288
2012 Architecture, engineering and related technologies Females 8,922
2012 Architecture, engineering and related technologies Sex unknown 54
2014 Physical and life sciences and technologies Males 10,827
2014 Physical and life sciences and technologies Females 13,020
2014 Physical and life sciences and technologies Sex unknown 6
2014 Mathematics, computer and information sciences Males 10,242
2014 Mathematics, computer and information sciences Females 4,170
2014 Mathematics, computer and information sciences Sex unknown 12
2014 Architecture, engineering and related technologies Males 51,480
2014 Architecture, engineering and related technologies Females 10,584
2014 Architecture, engineering and related technologies Sex unknown 42
2015 Physical and life sciences and technologies Males 10,623
2015 Physical and life sciences and technologies Females 13,398
2015 Physical and life sciences and technologies Sex unknown 3
2015 Mathematics, computer and information sciences Males 10,821
2015 Mathematics, computer and information sciences Females 4,290
2015 Mathematics, computer and information sciences Sex unknown 12
2015 Architecture, engineering and related technologies Males 53,571
2015 Architecture, engineering and related technologies Females 11,472
2015 Architecture, engineering and related technologies Sex unknown 75

Figure 2.3: Employment rates of Indigenous (living off-reserve) and non-Indigenous populations by educational attainment, Age 25-54

Historically, Indigenous Peoples living off-reserve in Canadian provinces have experienced lower rates of labour force participation and employment than the non-Indigenous population. Even among those who completed postsecondary education, the employment rate of Indigenous Peoples has been 6.5 percentage points lower since 2016 than that of the non-Indigenous population.

Description of Figure 2.3
Figure 2.3: Employment rates of Indigenous (living off-reserve) and non-Indigenous populations by educational attainment, Age 25-54
Years Indigenous PeoplesFootnote 1 Non-Indigenous population Employment Rate Gap

Sources:

Completed post-secondary education
2013 78.8% 86.0% 7.2
2014 80.1% 85.8% 5.7
2015 78.4% 85.9% 7.5
2016 79.2% 85.7% 6.5
2017 79.9% 86.4% 6.5
Completed post-secondary education
2013 67.0% 77.6% 10.6
2014 67.0% 76.9% 9.9
2015 63.9% 76.3% 12.4
2016 65.1% 76.2% 11.1
2017 67.3% 77.2% 9.9
All education levels
2013 69.2% 82.0% 12.8
2014 69.3% 81.6% 12.3
2015 67.5% 81.8% 14.3
2016 69.1% 81.7% 12.6
2017 70.3% 82.7% 12.4
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