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Report on Income Earning
Gap between Men and
Women (2006 – 2012)
By: Monika E. Sosnowska
February 1, 2013
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 2
February 15, 2013 Monika E. Sosnowska
Overview
The research conducted for this report
consisted of most recent Statistics Canada
publications, Statistics Canada CANSIM
database tables, peer-review sources and
newspaper articles. All of the sources were
obtained electronically; the majority located
through Statistics Canada webpage or through
the SFU Library (online). All consulted sources
are listed in the reference list, whereas the
sources that were employed to support the
findings are referred to and cited throughout the
report. Appendices referred to in the body of the
report follow the reference list and are positioned
according to the citation order in the text for easy
reference.
Introduction
The objective of this report is to provide
the reader with an improved understanding of the
earning gap between men and women in Canada.
The research draws on numerous sources,
including Statistics Canada publications,
CANSIM database, peer-reviewed and
newspaper articles and critically analyzes income
trends observed over the last six years. The
analysis should demonstrate either narrowed or
expanded gender wage gap and consider the
correlation between numerous variables
including education, family characteristics and
labour choices. This preliminary report will
allow readers to better comprehend the trends
observed over the last few years and encourage
further critical analysis of social trends in
Canada.
Research Question
The earning gap between men and
women is a well-known topic amongst
Canadians, who often establish their own
conclusion without critically analyzing the
existing statistical data, thus having a biased
outlook on the topic at hand. It’s a well-known
fact that over many generations in the 20th
century, on average, a woman earned
substantially less than a man, in part due to the
social structure of the Canadian society.
However, is the income gap still evident in the
twenty-first century? Furthermore, do variables
such as education, labour choices and family
responsibilities correlate in any way to the
differences in earnings between the sexes? This
report will critically analyze the existing
scientific data in order to provide an answer to
these two questions.
Discussion of Major Statistics Canada
Publications
Statistics Canada publications were an
important component in comprehension and
support of the statistics found in the CANSIM
database and Summary Tables referred to
throughout the text. Although a number of
publications contributed to an overall
understanding of the topic, not all were
employed. Job-education match and mismatch:
Wage differential, by Jennifer Yuen, for
instance, supported the information found in
other newer Statistics Canada publications, thus
wasn’t referred to in the body of the report.
The three publications referred to, closely
supported and simplified the statistical
information. Why has the gender wage gap
narrowed? by Marie Drolet provided a depth of
information that closely related to this report and
was a significant contributor and supporter of the
tables found in the appendices. Drolet discussed
the growth of women’s wages, education and age
contributors and possible factors behind the final
outcomes. Xuelin Zhang’s Earnings of women
with and without children utilized statistical
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 3
February 15, 2013 Monika E. Sosnowska
information to prove that women with children
earn substantially less, especially women who
have three or more children. The report
simplified the CANSIM data by utilizing charts
and providing a simplified breakdown of the
numbers. Unionization by Sharanjit Uppal,
although not directly related to gender gap
discussion, did examine recent union
membership trends of men and women,
consequently providing a positive correlation
between job choices and income for both men
and women. Collectively, these publications
provided a larger comprehension of the statistics
and the topic itself and thus, significantly
simplified the data that was generated from
Statistics Canada website.
Findings
According to Cool (2008), in 2008
women employed full-year full-time (FYFT) on
average earned 71% of their male counterparts
income. Appendix A Table 1 shows a further 2.5
percentage point decrease in gender income gap
between 2008 and 2010. Actually, between 2001
and 2010 men experienced a slower wage
increase compared to women (Fortin et al.,
2012). Figures show that during that time the
average wage for women increased by 12.4 per
cent whereas it increased a modest 2.65 per cent
for men (see Appendix A Table 2). The data in
Table 2 indicates that the gender wage gap is
gradually decreasing. Appendix A Table 3
demonstrates the trends in income generation for
both sexes between 2006 and 2010. Women and
men were similarly represented in incomes
below $59,999, and while men outnumbered
women in the $60,000 and above income
bracket, between 2008 and 2010 the
representation of women in higher incomes
increased by half a percentage point whereas the
representation of men decreased. Recently, the
percentage of women in the lower income
brackets declined whilst the percentage of men
earning above $35,000 declined (Appendix A
Table 3).
An indicator that women are earning
more is their increased representation among the
top 1 percent of tax filers in Canada. According
to Beltrame (2013), 21 per cent of women were
among the wealthiest, an increase of 10
percentage points between 1982 and 2010. More
recently, women saw an increase in
representation from 20.3 to 20.9 per cent
between 2008 and 2010. In contrast, the
percentage of men decreased from 79.7 to 79.1
(see Appendix A Table 5)
In regards to labour characteristics,
overall participation in labour force slightly
declined between 2008 and 2010. Male
participation declined by 3.9 percentage points
whereas women saw a decline of 2.9 percentage
points (Appendix B Table 1). A closer
comparison between Appendix B Table 1 and
Table 2, which refer to same variables but in
different years, shows that labour force
participation declined 2.5 percentage points for
men and 1.9 percentage points for women
between 2010 and 2012. Women’s participation
in FYFT careers has seen a steady increase
between 2006 and 2010. As seen in Appendix B
Table 3, in 2006, men outnumbered women by
1,475,000 in the FYFT category but years 2006
to 2010 showed a decrease of 310,000 male
participants and an increase of 117,000 in
women participants. By 2010 men outnumbered
women by 1,057,000, a decrease of about 28.3
per cent from the 2006 figures. Furthermore, the
estimated amount of FYFT workers decreased
both for men and women between 2008 and
2009, which could reflect the loss of jobs during
the economic downturn of 2008, but the number
of women working FYFT has since recovered,
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 4
February 15, 2013 Monika E. Sosnowska
the opposite is true for men (Appendix B Table
3).
According to Cool (2008), in 2008 36.5
per cent of women, compared to 24.1 per cent of
men completed university education. Appendix
C Table 1 demonstrates that when equally
educated, men are more likely than women to be
employed; however the gap narrows with the
attainment of education. When comparing
education with employment between men and
women ages 25 to 44, the group who completed
some secondary education saw a significant
difference in employment numbers. In that
group, three-quarters of men were employed, in
comparison to just over a half of women. Men
and women in the same age group who
completed high school were slightly closer in
employment numbers, with 84.5 per cent of men
and 68.6 per cent of women employed. With
those who completed post-secondary
certification, diploma or bachelor’s degree the
employment gap was in single digits and finally,
was very minimal between men and women who
attained higher university education. Therefore
as women continue to pursue university
education, they are more likely to be employed at
a similar rate to men. Furthermore, education
attainment studies indicate that the gender
income gap also narrows with educated
individuals (Cool, 2008). This trend is observed
in Appendix C Table 2 which illustrates that as
women become more educated, the income gap
between men and women decreases. Because
women in 2008 continued to outnumber men in
pursue of education (Drolet, 2011), if the higher
education can be positively correlated to higher
income and if the trend of more women than men
attaining higher education, then gender
employment and income gap may decline further
over the upcoming decades.
Career choices may contribute to the
narrowing gender gap. Conventionally, women
were more likely to earn an income in lower-
paying retail or administrative jobs (Cool, 2008)
than higher-paying manufacturing and
construction sectors chosen by men (Drolet,
2011). This trend started to change as women are
increasingly seeking higher-paying careers in
education and health (Drolet, 2011). Appendix D
Table 1 breaks down the employment by sector
for men and women, and shows that in 2012,
women had a higher representation in service-
producing sectors such as educational services,
health care and social assistance, whereas men
largely outnumbered women in goods producing
sector, especially in construction and
manufacturing. Cool (2008) declares that
unionized workers on average earn more than
other non-unionized employees. Many of the
sectors that predominantly employ women are
unionized, including education and health and
thus, women’s average salaries may increase. In
contrast, according to Cool (2008), Canada
recently saw a reduction of unionized jobs in
manufacturing. According to Uppal (2011), in
2010 more women than men were in unionized
jobs, 30.8 and 28.2 per cent respectively.
Between 2000 and 2008, unionization rates
continued to fall for men but remained steady for
women. Thus, the prominence of women in
unionized jobs could be positively correlated
with lessening the earning gap between men and
women.
According to Zhang (2009), mothers with
three or more children make 20 per cent less than
childless women. Many mothers continue to
balance their work and home life and pursue jobs
that permit them more flexibility (Cool, 2008).
Appendix E Table 1 shows that women were, in
fact, more likely than men to work part-time in
order to care for children. Of all part-time
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 5
February 15, 2013 Monika E. Sosnowska
working women, 34.1 per cent stated that the
reason for their lower working hours is due to
child rearing responsibilities. Only 2.1 per cent
of men assert the same. According to Toronto-
Dominion Bank, the differences in income
between men and women is largely tied to
motherhood (Grant, 2010). The fact that many
women limit their working hours to take care of
children would contribute to the overall gender
income gap as men are more likely to work full-
time than women and thus earn larger incomes.
Conclusion
The statistical research conducted found
that the gender income gap in Canada continued
to decrease between 2006 and 2012. Several
Statistics Canada tables were employed to
comprehend the correlations associated with this
trend. It can be stated that women’s education
positively correlated with lowering wage gap, as
does a choice of career, especially if the
workplace is represented by a union. Family
characteristics correlate negatively with income
and wage gap between men and women,
especially larger families with three or more
children. The negative correlation in this case
could be attributed to the number of hours a
woman spends at work as mothers are more
likely than fathers to work part-time. Overall,
over the last few years, women saw a significant
decrease in the gender wage gap.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 6
February 15, 2013 Monika E. Sosnowska
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February 15, 2013 Monika E. Sosnowska
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INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 9
February 15, 2013 Monika E. Sosnowska
APPENDIX A
Table 1
Average female and male earnings, and female-to-male earnings ratio, by work activity, 2010 constant dollars
Earnings Work activity 2006 2007 2008 2009 2010
Median earnings, females (dollars) All earners 22,400A 23,000A 23,200A 23,700A 23,900A
Full-year full-time
workers
38,100A 38,500A 39,400A 40,700A 40,900A
Other workers 9,800B 10,000
B 10,200
B 10,000
B 10,400
B
Median earnings, males (dollars) All earners 35,400A 35,900A 37,000A 35,100A 35,000A
Full-year full-time
workers
50,500A 51,900A 51,800A 52,000A 52,700A
Other workers 10,800B 10,800B 11,700B 11,500B 11,500B
Female-to-male median earnings
ratio (percent)
All earners 63.3A 64.1A 62.8B 67.6B 68.2B
Full-year full-time
workers
75.5A 74.2A 76.0A 78.2A 77.6A
Other workers 90.5B 92.1C 87.5C 86.7C 89.9C
Earnings Work activity 2006 2007 2008 2009 2010
Average earnings, females
(dollars)
All earners 29,600A 30,400A 30,800A 31,600A 31,700A
Full-year full-time
workers
44,100A 44,900A 45,500A 47,300A 47,300A
Other workers 15,200A 15,800A 15,500A 15,400A 15,700B
Average earnings, males (dollars) All earners 45,800A 46,500A 47,900A 46,100A 46,500A
Full-year full-time
workers
61,300A 63,100A 64,000A 63,500A 64,200A
Other workers 19,700B 19,800B 20,500B 20,200B 20,100B
Female-to-male average earnings
ratio (percent)
All earners 64.7A 65.5B 64.3A 68.6A 68.1A
Full-year full-time
workers
71.9B 71.2B 71.1B 74.4B 73.6B
Other workers 77.1B 79.6B 75.7B 76.4B 78.2C
Source: Statistics Canada. Table 202-0102
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 10
February 15, 2013 Monika E. Sosnowska
Table 2
Average earnings by sex and work pattern
All earners
Women Men Earnings ratio
$ constant 2010 %
2001 28,200 45,300 62.1
2002 28,500 45,400 62.8
2003 28,100 44,700 62.9
2004 28,500 44,900 63.5
2005 29,200 45,600 64.0
2006 29,600 45,800 64.7
2007 30,400 46,500 65.5
2008 30,800 47,900 64.3
2009 31,600 46,100 68.6
2010 31,700 46,500 68.1
Note: Data before 1996 are drawn from Survey of Consumer Finances (SCF) and data since 1996 are taken
from the Survey of Labour and Income Dynamics (SLID). The surveys use different definitions, and as a
result the number of people working full-year full-time in the SLID is smaller than in the SCF.
Source: Statistics Canada, CANSIM, table 202-0102
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 11
February 15, 2013 Monika E. Sosnowska
Table 3
Distribution of earnings, by sex, 2010 constant dollars
Sex Earnings group 2006 2007 2008 2009 2010
Males Median earnings (dollars) 35,400A 35,900A 37,000A 35,100A 35,000A
Median total income (dollars) 41,000A 41,200A 41,800A 40,900A 41,500A
Number of all earners (x 1,000) 10,005A 10,169A 10,277A 10,228A 10,353A
Median earnings of full-year full-
time workers (dollars)
50,500A 51,900A 51,800A 52,000A 52,700A
Number of full-year full-time
workers (x 1,000)
5,258A 5,329A 5,517A 5,065A 4,957A
Percentage under $5,000 12.7B 12.3
B 11.6
B 12.9
B 13.2
B
$5,000 to $9,999 (percent) 7.9B 8.0B 7.5B 7.6B 7.5B
$10,000 to $14,999 (percent) 6.6B 6.5B 6.5B 7.0B 7.1C
$15,000 to $19,999 (percent) 5.8B 5.7C 5.3C 6.2B 5.9C
$20,000 to $24,999 (percent) 5.3C 5.3B 5.5C 5.5C 5.7C
$25,000 to $29,999 (percent) 5.5C 5.7B 5.3C 5.3C 5.0C
$30,000 to $34,999 (percent) 5.7B 5.5C 5.7C 5.4C 5.4C
$35,000 to $39,999 (percent) 5.3B 5.6B 5.6C 5.4C 5.2C
$40,000 to $44,999 (percent) 5.5B 5.1
B 5.4
C 4.8
C 4.8
C
$45,000 to $49,999 (percent) 4.7C 4.6C 4.5C 4.7C 4.3C
$50,000 to $59,999 (percent) 8.0B 8.5B 8.6B 8.1B 8.2B
$60,000 and over (percent) 26.9A 27.2A 28.3A 27.2A 27.8A
Females Median earnings (dollars) 22,400A 23,000A 23,200A 23,700A 23,900A
Median total income (dollars) 28,700A 29,400A 29,800A 30,700A 30,800A
Number of all earners (x 1,000) 8,832A 9,061A 9,176A 9,223A 9,340A
Median earnings of full-year full-
time workers (dollars)
38,100A 38,500A 39,400A 40,700A 40,900A
Number of full-year full-time
workers (x 1,000)
3,783A 3,914A 4,043A 3,824A 3,900A
Percentage under $5,000 16.5B 15.8B 15.4B 15.9B 15.7B
$5,000 to $9,999 (percent) 12.0B 11.7B 11.8B 11.3B 11.0B
$10,000 to $14,999 (percent) 9.5B 10.0B 9.6B 9.6B 9.9B
$15,000 to $19,999 (percent) 8.3B 8.1B 8.1B 7.5B 7.8B
$20,000 to $24,999 (percent) 7.5B 7.2B 7.4B 7.3B 7.3B
$25,000 to $29,999 (percent) 6.4B 7.1C 6.6B 6.1C 6.6B
$30,000 to $34,999 (percent) 6.8B 6.3B 6.2C 6.1C 6.0C
$35,000 to $39,999 (percent) 5.7B 5.8B 6.0B 6.2B 5.9C
$40,000 to $44,999 (percent) 5.1C 5.4B 5.1C 4.9C 5.5C
$45,000 to $49,999 (percent) 4.2C 4.1C 4.4C 4.3C 4.4C
$50,000 to $59,999 (percent) 6.6B 6.3B 6.3B 7.0B 6.5B
$60,000 and over (percent) 11.4B 12.3B 13.1B 13.8B 13.6B
Source: Statistics Canada, CANSIM, table 202-0101
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 12
February 15, 2013 Monika E. Sosnowska
Table 4
High income trends of tax filers in Canada, provinces, territories and census metropolitan areas (CMA), national thresholds
Income concepts=Total income
Income groups Statistics 2008 2009 2010
Top 1 percent income
group
Threshold value (current dollars) 202,600 198,000 201,400
Number of tax filers (persons) 249,755 252,300 254,730
Percentage, males 79.7 79.2 79.1
Percentage, females 20.3 20.8 20.9
Percentage married or in common-law
relationship
82.8 82.8 82.7
Percentage married or in common-law
relationship, males
86.7 86.8 86.7
Percentage married or in common-law
relationship, females
67.7 67.8 67.7
Median age (years) 51 51 51
Median income (current dollars) 291,000 278,700 283,400
Average income (current dollars) 461,800 424,900 429,600
Share of income 11.5 10.7 10.6
Share of income, males 9.5 8.7 8.7
Share of income, females 2.0 1.9 1.9
Percentage of income from wages and
salaries
63.8 62.4 63.9
Percentage of income from wages and
salaries, males
67.1 65.6 66.9
Percentage of income from wages and
salaries, females
48.0 47.8 50.2
Percentage in the same quantile last year 72.1 71.3 72.1
Percentage in the same quantile five years
ago
52.5 52.7 52.7
Bottom 99 percent
income group
Threshold value (current dollars) 202,600 198,000 201,400
Number of tax filers (persons) 24,725,060 24,976,58
5
25,217,1
45
Percentage, males 47.8 47.7 47.7
Percentage, females 52.2 52.3 52.3
Percentage married or in common-law
relationship
56.7 56.9 56.9
Percentage married or in common-law
relationship, males
59.0 59.2 59.2
Percentage married or in common-law
relationship, females
54.6 54.8 54.8
Median age (years) 46 46 47
Median income (current dollars) 28,100 28,000 28,400
Average income (current dollars) 36,000 35,900 36,600
Share of income 88.5 89.3 89.4
Share of income, males 50.1 49.9 49.9
Share of income, females 38.4 39.4 39.5
Percentage of income from wages and
salaries
69.6 68.5 68.4
Percentage of income from wages and
salaries, males
72.7 71.1 71.3
Percentage of income from wages and
salaries, females
65.5 65.1 64.7
Percentage in the same quantile last year 99.7 99.7 99.7
Percentage in the same quantile five years
ago
99.6 99.6 99.5
Source: Statistics Canada, CANSIM, table 204-001
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 13
February 15, 2013 Monika E. Sosnowska
APPENDIX B
Table 1
Family characteristics, labour characteristics, by sex and age group
Age group=All age groups
Sex Labour characteristics 2008 2009 2010
Both sexes Total labour income 18,516,390 18,514,640 18,579,750
Labour participation rate (rate) 70.0 69.2 68.8
Males Total labour income 9,583,680 9,564,930 9,597,260
Labour participation rate (rate) 75.2 74.3 73.8
Females Total labour income 8,932,710 8,949,710 8,982,480
Labour participation rate (rate) 65.1 64.5 64.1
Source: Statistics Canada, CANSIM, table 111-0018
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 14
February 15, 2013 Monika E. Sosnowska
Table 2
Labour force characteristics by age and sex (2012)
Unemployment rate Participation rate Employment rate
%
Both sexes 7.2 66.7 61.8
15 to 24 years 14.3 63.6 54.5
15 to 19 years 20.1 49.5 39.6
20 to 24 years 11.0 76.1 67.7
25 years and older 6.0 67.2 63.2
25 to 44 years 6.3 87.1 81.6
25 to 34 years 6.9 86.3 80.4
35 to 44 years 5.6 87.9 82.9
45 to 64 years 5.8 75.7 71.3
45 to 54 years 5.6 85.7 80.9
55 to 64 years 6.3 63.8 59.8
65 years and older 4.6 12.6 12.0
55 years and older 6.0 36.9 34.7
Unemployment rate Participation rate Employment rate
Males 7.7 71.3 65.8
15 to 24 years 15.9 63.5 53.4
15 to 19 years 22.0 48.3 37.7
20 to 24 years 12.5 77.1 67.4
25 years and older 6.3 72.8 68.3
25 to 44 years 6.4 92.0 86.1
25 to 34 years 7.5 91.2 84.4
35 to 44 years 5.4 92.8 87.8
45 to 64 years 6.2 80.0 75.0
45 to 54 years 6.0 88.8 83.5
55 to 64 years 6.7 69.3 64.7
65 years and older 4.7 17.1 16.3
55 years and older 6.3 42.9 40.2
Unemployment rate Participation rate Employment rate
Females 6.8 62.2 57.9
15 to 24 years 12.6 63.6 55.6
15 to 19 years 18.2 50.8 41.6
20 to 24 years 9.3 75.0 68.0
25 years and older 5.7 61.9 58.4
25 to 44 years 6.1 82.2 77.2
25 to 34 years 6.2 81.4 76.3
35 to 44 years 5.9 83.0 78.1
45 to 64 years 5.4 71.5 67.6
45 to 54 years 5.2 82.6 78.3
55 to 64 years 5.8 58.5 55.1
65 years and older 4.5 8.8 8.4
55 years and older 5.6 31.6 29.8
Source: Statistics Canada, CANSIM, table 282-0002.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 15
February 15, 2013 Monika E. Sosnowska
Table 3
Estimated numbers of earners by sex (2006 to 2010)
2006 2007 2008 2009 2010
thousands
All earners 18,837 19,230 19,452 19,451 19,693
Women 8,832 9,061 9,176 9,223 9,340
Men 10,005 10,169 10,277 10,228 10,353
Full-year full-time workers 9,041 9,243 9,560 8,889 8,858
Women 3,783 3,914 4,043 3,824 3,900
Men 5,258 5,329 5,517 5,065 4,957
Source: Statistics Canada, CANSIM, table 202-0101.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 16
February 15, 2013 Monika E. Sosnowska
APPENDIX C
Table 1
People employed, by educational attainment (2012)
Both sexes Men Women
%
Total 61.8 65.8 57.9
15 to 24 years 54.5 53.4 55.6
25 to 44 years 81.6 86.1 77.2
45 and over 51.5 56.5 46.8
Less than Grade 9 20.0 27.4 13.5
15 to 24 years 26.0 29.2 21.4
25 to 44 years 50.5 63.9 34.3
45 and over 15.8 22.0 10.9
Some secondary school 39.5 46.3 32.1
15 to 24 years 35.2 36.1 34.2
25 to 44 years 64.9 73.3 52.4
45 and over 34.4 43.9 25.3
High school graduate 61.1 68.1 54.3
15 to 24 years 63.4 63.7 62.9
25 to 44 years 77.7 84.8 68.6
45 and over 51.7 58.8 46.1
Some postsecondary 60.6 62.6 58.5
15 to 24 years 56.5 53.6 59.4
25 to 44 years 75.5 80.8 69.3
45 and over 54.0 58.5 49.9
Postsecondary certificate or diploma1 70.6 73.6 67.7
15 to 24 years 74.5 73.7 75.3
25 to 44 years 85.2 88.9 81.6
45 and over 59.2 62.0 56.6
Bachelor's degree 74.8 76.9 73.1
15 to 24 years 71.2 67.3 73.8
25 to 44 years 85.4 89.8 82.1
45 and over 63.8 65.9 61.7
Above bachelor's degree 75.4 75.1 75.6
15 to 24 years 70.3 71.3 70.2
25 to 44 years 86.0 88.4 83.9
45 and over 66.7 66.8 66.6
Source: Statistics Canada, CANSIM, table 282-0004 and Catalogue no. 89F0133XIE.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 17
February 15, 2013 Monika E. Sosnowska
Table 2
Female-to-male earnings ratios, by selected characteristics, 2010 constant dollars
Selected characteristics 2006 2007 2008 2009 2010
All age groups 75.5A 74.2A 76.0A 78.2A 77.6A
All marital statuses 75.5A 74.2A 76.0A 78.2A 77.6A
Never married 96.0C 95.8C 87.3B 96.1B 96.1B
Married 70.1A 70.0A 72.3A 72.6A 71.8A
Other marital status 75.2C 75.0C 76.0B 80.2C 83.3C
All education levels 75.5A 74.2A 76.0A 78.2A 77.6A
Some secondary6 62.0C 67.4C 70.4C 73.3C 69.5D
Graduated high school6 73.4
B 72.3
B 76.5
B 78.6
C 84.8
C
Some postsecondary 76.9C 81.2C 77.9C 79.4C 74.1C
Postsecondary certificate or diploma8 71.7A 72.3B 74.9B 74.4B 73.7B
University degree9 75.3B 74.9B 78.6B 79.9B 77.1B
Source: Statistics Canada, CANSIM, table 202-0104
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 18
February 15, 2013 Monika E. Sosnowska
APPENDIX D
Table 1
Employment by industry and sex (in percent)
2012
Number employed
Both sexes Men Women
%
All industries 100.0 100.0 100.0
Goods-producing sector 22.1 32.9 10.2
Agriculture 1.8 2.3 1.1
Forestry, fishing, mining, quarrying, oil and gas1 2.1 3.3 0.8
Utilities 0.8 1.2 0.4
Construction 7.2 12.2 1.8
Manufacturing 10.2 14.0 6.0
Services-producing sector 77.9 67.1 89.8
Trade 15.1 14.8 15.4
Transportation and warehousing 4.9 7.1 2.4
Finance, insurance, real estate and leasing 6.2 5.1 7.5
Professional, scientific and technical services 7.4 8.2 6.6
Business, building and other support services2 3.9 4.2 3.7
Educational services 7.4 4.8 10.2
Health care and social assistance 12.2 4.1 21.1
Information, culture and recreation 4.5 4.8 4.2
Accommodation and food services 6.3 4.9 7.8
Other services 4.5 3.9 5.3
Public administration 5.5 5.2 5.7
Source: Statistics Canada, CANSIM, table 282-0008.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 19
February 15, 2013 Monika E. Sosnowska
APPENDIX E
Table 1
Reasons for part-time work by sex and age group
Men
2012
Men
Total 15-24 25-44 45 and over
%
Own illness 3.7 0.7 5.2 6.7
Caring for children 1.3 x 3.9 1.2
Other personal/family responsibilities 1.4 0.6 2.1 2.1
Going to school 37.2 73.4 20.5 0.9
Personal preference 25.1 4.3 15.5 58.4
Other voluntary 2.8 1.3 5.3 3.2
Other1 28.4 19.7 47.5 27.4
Total employed part-time
(thousands)
1,086.5 480.1 236.8 369.6
% employed part-time2 11.8 39.4 5.9 9.3
Source: Statistics Canada, CANSIM, table 282-0014 and 282-0001 and Catalogue no 89F0133XIE.
Women
2012
Women
Total 15-24 25-44 45 and over
%
Own illness 3.4 0.5 2.7 6.2
Caring for children 13.1 1.2 34.1 5.2
Other personal/family responsibilities 3.8 0.5 4.2 6.0
Going to school 24.7 71.4 8.6 1.0
Personal preference 26.3 4.6 14.7 52.9
Other voluntary 2.1 1.2 2.8 2.2
Other1 26.6 20.6 32.9 26.3
Total employed part-time
(thousands)
2,208.3 668.6 692.9 846.8
% employed part-time2 26.5 55.2 19.3 24.0
Source: Statistics Canada, CANSIM, table 282-0014 and 282-0001 and Catalogue no 89F0133XIE.
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 20
February 15, 2013 Monika E. Sosnowska
Table 2
Family characteristics, husband-wife families, by wife's contribution to husband-wife employment income
Wife's contribution to
husband-wife family
employment income2,3,4
Husband-wife families2 2008 2009 2010
Number of husband-wife
families with employment
income
Total husband-wife families6 6,504,820 6,559,500 6,599,070
Husband-wife families with no children6 2,700,460 2,754,110 2,787,420
Husband-wife families with 1 child6 1,507,520 1,510,670 1,512,780
Husband-wife families with 2 children6 1,607,400 1,607,990 1,610,820
Husband-wife families with 3 or more
children6
689,440 686,730 688,040
Median contribution of the
wife to husband-wife family
employment income
(dollars)8
Total husband-wife families6 29,200 29,780 30,400
Husband-wife families with no children6 28,910 29,340 29,780
Husband-wife families with 1 child6 28,900 29,400 30,070
Husband-wife families with 2 children6 31,020 31,830 32,880
Husband-wife families with 3 or more
children6
25,910 26,480 27,280
Source: Statistics Canada, CANSIM, table 111-0021
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 21
February 15, 2013 Monika E. Sosnowska
Table 3
Family characteristics, by family type, family composition and characteristics of parents
Family type2,8,9 Parent
characteristics
2006 2007 2008 2009 2010
Couple families8 All parental age
groups5
7,629,330 7,727,870 7,832,060 7,926,210 7,989,380
Median total income
(dollars)4,11
70,400 73,420 75,880 75,320 76,950
Lone-parent
families9
All parental age
groups5
1,391,330 1,379,310 1,383,470 1,389,570 1,401,870
Median total income
(dollars)4,11
33,000 34,540 35,990 36,100 37,050
Male lone-parent
families9
All parental age
groups5
237,050 234,670 242,210 243,270 247,020
Median total income
(dollars)4,11
46,100 48,240 49,670 49,070 50,450
Female lone-
parent families9
All parental age
groups5
1,154,270 1,144,640 1,141,260 1,146,310 1,154,850
Median total income
(dollars)4,11
30,900 32,360 33,750 33,950 34,900
Source: Statistics Canada, CANSIM, table 111-0011
INCOME EARNING GAP BETWEEN MEN AND WOMEN (2006-2012) 22
February 15, 2013 Monika E. Sosnowska
Chart 1
Unionization rates of workers age 25 to 54