Insights on Canadian Society
Women working in paid care occupations

by Farhana Khanam, Manon Langevin, Katherine Savage and Sharanjit Uppal

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Acknowledgment

This study was funded by Women and Gender Equality Canada (WAGE).

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Overview of the study

The care economy, which refers to activities related to the provision of care, including care for children, seniors and people with disabilities, as well as health care and education, is a fundamental component of societies. The COVID-19 pandemic has underscored the essential nature of this sector. In Canada and around the world, demographic and socioeconomic transformations—notably the aging population—are increasing the demand for care workers. Although the care economy includes paid and unpaid work, the focus of this study is on paid workers. It uses data from the 2016 Census of Population and from the Labour Force Survey to examine their personal and job characteristics through a gender lens. It also examines how the pandemic has impacted paid care worker employment, compared with workers in all other occupations. This article is the first to provide a detailed portrait of paid care workers in Canada.

  • According to the 2016 Census of Population, about 3 million people were employed in paid care occupations in 2016, making up nearly one-fifth (19%) of the total employed population in Canada. Women represented the majority of paid care workers, accounting for three quarters (75%) of all care workers in 2016.
  • Registered nurses and registered psychiatric nurses (9%), elementary school and kindergarten teachers (9%), nurse aides, orderlies and patient service associates (8%) and early childhood educators and assistants (7%) were the most common occupations, accounting for a third of all care workers in 2016.
  • Workers in care occupations were comparatively more educated than those in non-care occupations. Nearly one-half (46%) of care workers had a university certificate or degree at the bachelor level or above, compared with one-quarter (25%) of those working in non-care occupations. Women in care occupations were more likely than their male counterparts to have a college credential as their highest level of education (29% vs. 16%), whereas a larger proportion of men than women held a university certificate, diploma or degree at the bachelor level or above (51% vs. 44%).
  • There were also differences regarding the type of positions held by men and women within care occupations. For example, in the health-related occupations, women were more likely than men to hold professional occupations in nursing (29% vs. 11%), such as registered nurses, registered psychiatric nurses, and nursing coordinators and supervisors. By contrast, men were more likely to hold professional occupations (except nursing) such as general practitioners and family physicians, specialist physicians and dentists (45% vs. 16%).
  • By consequence, women in care occupations had lower employment income than men ($59,300 vs. $73,400) on average in 2015. The income gender gap remained significant even after diverse personal characteristics and care occupation held was taken into account, meaning that the occupational segregation among care workers alone does not explain the gender pay gap in the care sector.
  • During the pandemic, workers in non-care occupations had a larger employment decrease than those working in care occupations. This is partly because care workers more often provide essential services, and non-care workers are more likely to be found in industries hit hardest by the pandemic, such as accommodation and food services and retail services.
  • Women and men in care occupations were affected differently by the pandemic. Women’s monthly employment in 2020 remained lower than that in the same months of 2019, throughout 2020, while men’s employment recovered faster and was even higher than that in the same months of 2019, from August to December 2020. However, the situation evolved differently in 2021. The employment of women in care occupations continued to improve, in contrast to men’s employment. Thus, in November 2021, employment among men in care occupations was at a level similar to that in February 2020, whereas for women it was 2% higher.
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Introduction

The care economy, which refers to activities related to the provision of care, including care for children, seniors and people with disabilities, as well as health care, education, personal, social and domestic services, is a fundamental component of societiesNote ,Note  and is a fast-expanding sector of the economy.Note ,Note  In Canada and around the world, demographic and socioeconomic transformations—notably the aging population—are increasing the demand for care workers. Indeed, the total number of seniorsNote  surpassed the total number of childrenNote  for the first time in Canada’s history in 2016. In addition, seniors could represent between 21% and 30% of the Canadian population by 2068, according to recent demographic projections.Note 

There is growing concern that the aging of Canada’s population, especially the rapid growth of the population aged 80 and over that generally requires the most care, will strain Canada’s health care system. The COVID-19 pandemic has exacerbated and actualized this concern. It has taken a toll on people residing in long-term care facilities, as well as on staff. Residents of these facilities have accounted for a disproportionate number of infections and deaths caused by COVID-19 in Canada.Note 

The pandemic has also illuminated the challenging working conditions of staff in these facilities, such as irregular work schedules, overtime, excessive workload and stress, which are known to cause mental and physical tiredness, reduce work satisfaction and affect intentions to stay with the employer. As a result, the pandemic situation may have long-term implications for the delivery of health care in Canada.Note 

While the majority of research on care work focuses on unpaid activities and its redistribution between women and men, the pandemic has highlighted the importance of certain crucial paid care occupations. These include nurse aides, orderlies and associates, which are more likely to be held by women and immigrants earning low wages and working part time.Note  The importance of these occupations is also felt in the context of job vacancies, which have increased since the beginning of the pandemic and remain high in health care and social assistance positions.Note  Finding and recruiting skilled workers to fill these essential positions is and will remain an important challenge for Canadian health policy makers.

At the same time, the pandemic disproportionately and negatively affected certain care occupations, such as child-care workers. Since the onset of the pandemic, employment among child-care workers has fluctuated more, compared with all workers. In December 2020, employment among these workers was 11% lower than in the same month in 2019. By comparison, the gap between December 2020 and December 2019 employment was 3% among all workers.Note 

Given these circumstances, it is important to understand who the workers in paid care occupations are, what type of jobs they hold and how they are compensated. This study uses data from the 2016 Census of Population and from the Labour Force Survey (see box “Data sources, methods and definitions”) to examine the personal and job characteristics of workers in paid care occupations through a gender lens. This study also looks at how the pandemic has impacted the employment of paid care workers, compared with other workers.

Outcomes from specific population groups, such as those identifying as visible minorities, immigrants and Indigenous people, will be examined wherever sample sizes permit since members of these groups generally face additional barriers in the labour market compared with non-Indigenous Canadian-born people. Additionally, some groups are disproportionally represented in certain crucial lower-paying care occupations, such as nurse aides, orderlies and associates.

Workers in care occupations make up nearly one-fifth of the employed labour force

People of all ages have physical, psychological, cognitive and emotional needs requiring varying degrees of protection, care or support. Paid care workers contribute, in various ways, to meeting these needs. The definition of care work used in this study is taken from the International Labor Organization (ILO) reportNote  on the care economy.Note  According to the ILO, care work is broadly defined as consisting of activities and relations involved in meeting the physical, psychological and emotional needs of adults and children, old and young, frail and able-bodied. Care workers’ activities and responsibilities include direct, face-to-face, personal care activities such as teaching, caring, helping, mentoring, counselling, etc. It also includes indirect care activities, which do not entail face-to-face personal care, such as cleaning, cooking and other maintenance tasks, and that provide the preconditions for personal caregiving.

Care workers may be employed by a private individual or household, a public agency, a private for-profit enterprise, a private non-profit organization, or they may be self-employed. Finally, paid care work is performed within a range of settings, such as private households, public or private hospitals, clinics, nursing homes, schools and other care establishments.

In 2016, there were approximately 3 million persons employed in paid care occupations, making up nearly one-fifth (19%) of the total employed population in Canada (Table 1). Among individuals in paid care occupations, 79% were employed in care-related industries, including health care and social assistance and educational services, and 2% in private households. The remaining were employed in non-care industries (19%), for example, as a nurse or doctor in a factory or as on-site childcare staff in a private company.

Care workers include a wide range of workers who differ in terms of education, skills, sector and pay, from university professors, psychologists and doctors at one end of the spectrum to childcare workers and personal care workers at the otherNote . However, registered nurses and registered psychiatric nurses (9%), elementary school and kindergarten teachers (9%), nurse aides, orderlies and patient service associates (8%) and light-duty cleaners (7%) are the most common occupations among care workers. These occupations accounted for one-third of all these workers in 2016.


Table 1
Total number and percentage of paid care workers, by occupation and sex, 2016
Table summary
This table displays the results of Total number and percentage of paid care workers. The information is grouped by Care occupation (4-digit NOC) (appearing as row headers), All care workers , Men , Women and Percentage of women, calculated using number and percentage units of measure (appearing as column headers).
Care occupation (4-digit NOCTable 1 Note 1) All care workers Men Women Percentage of women
number percentage number percentage number percentage
All care occupations 3,208,295 100.0 815,750 100.0 2,392,550 100.0 75
3012 - Registered nurses and registered psychiatric nurses 286,225 8.9 23,685 2.9 262,540 11.0 92
4032 - Elementary school and kindergarten teachers 283,525 8.8 44,795 5.5 238,735 10.0 84
3413 - Nurse aides, orderlies and patient service associates 245,500 7.7 32,535 4.0 212,970 8.9 87
6731 - Light duty cleaners 235,385 7.3 70,470 8.6 164,915 6.9 70
6733 - Janitors, caretakers and building superintendents 212,320 6.6 160,790 19.7 51,525 2.2 24
4214 - Early childhood educators and assistants 193,550 6.0 6,930 0.8 186,620 7.8 96
4031 - Secondary school teachers 160,890 5.0 66,010 8.1 94,885 4.0 59
4212 - Social and community service workers 139,770 4.4 31,130 3.8 108,640 4.5 78
4413 - Elementary and secondary school teacher assistants 119,900 3.7 11,540 1.4 108,355 4.5 90
4412 - Home support workers, housekeepers and related occupations 96,010 3.0 10,145 1.2 85,865 3.6 89
4021 - College and other vocational instructors 87,250 2.7 40,090 4.9 47,160 2.0 54
4411 - Home child care providers 85,830 2.7 3,440 0.4 82,385 3.4 96
3233 - Licensed practical nurses 69,625 2.2 6,595 0.8 63,035 2.6 91
4011 - University professors and lecturers 66,410 2.1 37,615 4.6 28,795 1.2 43
4012 - Postsecondary teaching and research assistants 62,275 1.9 28,240 3.5 34,030 1.4 55
4152 - Social workers 57,865 1.8 8,670 1.1 49,195 2.1 85
3112 - General practitioners and family physicians 56,300 1.8 29,770 3.6 26,525 1.1 47
3219 - Other medical technologists and technicians (except dental health) 48,560 1.5 6,870 0.8 41,690 1.7 86
3111 - Specialist physicians 44,505 1.4 27,065 3.3 17,440 0.7 39
3131 - Pharmacists 36,330 1.1 13,635 1.7 22,695 0.9 62
3414 - Other assisting occupations in support of health services 33,475 1.0 6,280 0.8 27,190 1.1 81
3236 - Massage therapists 33,400 1.0 6,020 0.7 27,380 1.1 82
3411 - Dental assistants 32,525 1.0 470 0.1 32,055 1.3 99
0311 - Managers in health care 31,670 1.0 8,570 1.1 23,095 1.0 73
0422 - School principals and administrators of elementary and secondary education 30,500 1.0 12,775 1.6 17,725 0.7 58
0423 - Managers in social, community and correctional services 29,050 0.9 7,530 0.9 21,520 0.9 74
3234 - Paramedical occupations 26,815 0.8 17,235 2.1 9,585 0.4 36
3222 - Dental hygienists and dental therapists 26,065 0.8 715 0.1 25,350 1.1 97
4153 - Family, marriage and other related counsellors 25,750 0.8 5,425 0.7 20,325 0.8 79
3142 - Physiotherapists 24,130 0.8 6,030 0.7 18,095 0.8 75
4151 - Psychologists 23,400 0.7 5,385 0.7 18,015 0.8 77
3212 - Medical laboratory technicians and pathologists' assistants 21,980 0.7 3,765 0.5 18,210 0.8 83
4033 - Educational counsellors 21,650 0.7 4,625 0.6 17,025 0.7 79
3113 - Dentists 21,420 0.7 13,140 1.6 8,275 0.3 39
4215 - Instructors of persons with disabilities 20,890 0.7 2,850 0.3 18,045 0.8 86
3211 - Medical laboratory technologists 19,760 0.6 3,895 0.5 15,870 0.7 80
3215 - Medical radiation technologists 19,365 0.6 4,360 0.5 15,000 0.6 77
0421 - Administrators - post-secondary education and vocational training 16,670 0.5 6,005 0.7 10,660 0.4 64
3011 - Nursing co-ordinators and supervisors 15,685 0.5 1,495 0.2 14,190 0.6 90
3143 - Occupational therapists 15,200 0.5 1,200 0.1 13,995 0.6 92
3132 - Dietitians and nutritionists 11,715 0.4 570 0.1 11,145 0.5 95
3214 - Respiratory therapists, clinical perfusionists and cardiopulmonary technologists 11,150 0.3 2,730 0.3 8,420 0.4 76
6315 - Cleaning supervisors 11,080 0.3 7,090 0.9 3,990 0.2 36
3237 - Other technical occupations in therapy and assessment 10,945 0.3 1,975 0.2 8,970 0.4 82
3144 - Other professional occupations in therapy and assessment 10,875 0.3 2,805 0.3 8,065 0.3 74
3141 - Audiologists and speech-language pathologists 10,730 0.3 650 0.1 10,085 0.4 94
3232 - Practitioners of natural healing 9,235 0.3 2,505 0.3 6,730 0.3 73
3231 - Opticians 8,715 0.3 2,755 0.3 5,955 0.2 68
3122 - Chiropractors 8,025 0.3 5,155 0.6 2,870 0.1 36
3124 - Allied primary health practitioners 7,120 0.2 855 0.1 6,260 0.3 88
3125 - Other professional occupations in health diagnosing and treating 5,830 0.2 1,715 0.2 4,115 0.2 71
3121 - Optometrists 5,685 0.2 2,505 0.3 3,185 0.1 56
3223 - Dental technologists, technicians and laboratory assistants 5,620 0.2 3,235 0.4 2,385 0.1 42
3216 - Medical sonographers 5,250 0.2 805 0.1 4,445 0.2 85
6312 - Executive housekeepers 3,615 0.1 510 0.1 3,105 0.1 86
3217 - Cardiology technologists and electrophysiological diagnostic technologists, n.e.c. 2,860 0.1 505 0.1 2,355 0.1 82
3221 - Denturists 2,435 0.1 1,570 0.2 860 0.0 35

Women make up the majority of paid care workers in Canada

Women represented the majority of paid care workers in Canada, accounting for three-quarters (75%) of them in 2016 (Table 1). Therefore, most care occupations were either female-dominatedNote  or had a high proportion of women.

Care occupations with the vast majority of workers being women included dental assistants (99%), dental hygienists and dental therapists (97%), early childhood educators and assistants (96%), home child care providers (96%), and dieticians and nutritionists (95%). Only a few care occupations had a higher proportion of men. Moreover, some of these male-dominated occupations, such as janitors, caretakers and building superintendents (76% men) or cleaning supervisors (64%), are somewhat atypical among care occupations, as they do not necessarily entail face-to-face personal care. Other male-dominated occupations were essentially in the health sector: denturists (65%), paramedical occupations (64%), chiropractors (64%), dentists (61%) and specialist physicians (61%).

Workers in care occupations were slightly older than workers in non-care occupations. Indeed, since most care occupations require postsecondary education, there is a lower proportion of these workers in the youngest age group, which may be related to the fact that many future care workers are still in school at this age. The proportion of care workers aged 15 to 24 was thus half that of non-care workers (7% and 14%) (Table 2). In addition, a higher proportion of care workers were considered within the core working age (25 to 54 years), compared with their counterparts in non-care occupations. Specifically, 71% of care workers belonged to this age group, while the corresponding proportion for non-care workers was 64%.

Care workers are also more educated than those in non-care occupations. Almost one-half (46%) of care workers had a university certificate or a degree at the bachelor level or above, compared with one-quarter (25%) of those in non-care occupations. Furthermore, non-care workers were two times more likely than care workers  to have an education level equal to a high school diploma or less (39% vs. 19%).

There were, however, notable differences in the educational attainment of men and women working in care occupations. Women in these occupations were more likely than their male counterparts to have a college credential as their highest level of education (29% vs. 16%), whereas a larger proportion of men than women held a university certificate, diploma or degree at bachelor level or above (51% vs. 44%).


Table 2
Characteristics of paid care workers, by sex, 2016
Table summary
This table displays the results of Characteristics of paid care workers. The information is grouped by Characteristic (appearing as row headers), Total - Non-care workers, Total - Care workers , Men - Care workers and Women - Care workers, calculated using number and percentage units of measure (appearing as column headers).
Characteristic Total - Non-care workers Total - Care workers Men - Care workers Women - Care workers
number percentage number percentage number percentage number percentage
Total 14,021,740 100 3,208,300 100 815,745 100 2,392,550 100
Immigrant status
Non-immigrants 10,515,120.0 75.0 2,368,580 73.8 576,325 70.7 1,792,260 74.9
Immigrants 3,316,290.0 23.7 791,215 24.7 223,070 27.3 568,150 23.7
Non-permanent residents 190,330.0 1.4 48,495 1.5 16,355 2.0 32,140 1.3
Visible minority
Total visible minority population 2,967,320 21.2 701,650 21.9 197,015 24.2 504,635 21.1
South Asian 784,415 5.6 136,815 4.3 40,585 5.0 96,230 4.0
Chinese 633,780 4.5 96,800 3.0 32,120 3.9 64,685 2.7
Black 392,680 2.8 138,655 4.3 33,940 4.2 104,715 4.4
Filipino 318,395 2.3 142,860 4.5 30,755 3.8 112,105 4.7
Latin American 194,605 1.4 53,990 1.7 15,605 1.9 38,385 1.6
Arab 158,035 1.1 42,700 1.3 16,325 2.0 26,380 1.1
Southeast Asian 138,280 1.0 20,925 0.7 6,340 0.8 14,585 0.6
West Asian 101,585 0.7 21,150 0.7 7,595 0.9 13,555 0.6
Korean 74,845 0.5 12,560 0.4 4,105 0.5 8,455 0.4
Japanese 36,025 0.3 7,920 0.2 2,095 0.3 5,825 0.2
Visible minority, n.i.e.Table 2 Note 1 55,630 0.4 11,195 0.3 2,810 0.3 8,385 0.4
Multiple visible minorities 79,035 0.6 16,085 0.5 4,750 0.6 11,330 0.5
Not a visible minority 11,054,415 78.8 2,506,645 78.1 618,730 75.8 1,887,915 78.9
Indigenous identity
Indigenous identity 500,460 3.6 137,445 4.3 31,410 3.9 106,030 4.4
Single Indigenous responses 486,400 3.5 133,865 4.2 30,675 3.8 103,190 4.3
First Nations (North American Indian) 248,565 1.8 75,120 2.3 17,565 2.2 57,550 2.4
Métis 222,055 1.6 53,210 1.7 11,665 1.4 41,545 1.7
Inuk (Inuit) 15,775 0.1 5,540 0.2 1,445 0.2 4,095 0.2
Multiple Indigenous responses 6,510 0.0 1,500 0.0 275 0.0 1,230 0.1
Indigenous responses not included elsewhere 7,550 0.1 2,075 0.1 465 0.1 1,615 0.1
Non-Indigenous identity 13,521,275 96.4 3,070,855 95.7 784,335 96.1 2,286,520 95.6
Age group
15 to 24 years 1,968,475 14.0 225,975 7.0 59,765 7.3 166,210 6.9
25 to 34 years 2,898,850 20.7 709,190 22.1 154,720 19.0 554,470 23.2
35 to 44 years 2,910,920 20.8 781,210 24.3 179,505 22.0 601,705 25.1
45 to 54 years 3,225,475 23.0 797,930 24.9 202,585 24.8 595,350 24.9
55 to 64 years 2,387,485 17.0 561,905 17.5 163,985 20.1 397,925 16.6
65 years and older 630,520 4.5 132,090 4.1 55,195 6.8 76,895 3.2
Highest certificate, diploma or degree
No certificate, diploma or degree 1,550,670 11.1 185,915 5.8 64,980 8.0 120,940 5.1
Secondary (high) school diploma or equivalency certificate 3,951,035 28.2 411,225 12.8 125,820 15.4 285,400 11.9
Apprenticeship or trades certificate or diploma 1,608,060 11.5 208,250 6.5 58,050 7.1 150,195 6.3
College, CEGEP or other non-university certificate or diploma 3,056,775 21.8 821,080 25.6 130,845 16.0 690,240 28.8
University certificate or diploma below bachelor level 401,925 2.9 116,770 3.6 22,280 2.7 94,490 3.9
University certificate, diploma or degree at bachelor level or above 3,453,275 24.6 1,465,060 45.7 413,775 50.7 1,051,285 43.9

Women from visible minority groups were less likely to work in professional occupations in health than their male counterparts

Overall, workers in care and non-care occupations were as likely to belong to a population group designated as a visible minority (22% vs. 21%), to be immigrants (25% vs. 24%) or to identify as an Indigenous person (4% each) (Table 2). There were however slightly higher proportions of Black and Filipino people among care workers (4% and 5%) than among non-care workers (3% and 2%), particularly in specific occupational groups. For example, Black and Filipino people represented 10% of workers, respectively, in assisting occupations in support of health services and were highly overrepresented among nurse aides, orderlies and patient service associates.Note 

Within care occupations, men were more likely than women to belong to population groups designated as visible minorities (24% vs. 21%) and to be immigrants (27% vs. 24%), but a similar proportion of women and men identified as Indigenous (4% each) (Table 2). In general, immigrant care workers were particularly overrepresented in assisting occupations in support of health services (34%), in service supervisors and specialized service occupations (34%) and in service support and other service occupations (32%). By contrast, they were underrepresented in occupations in specialized middle management (18%), professional occupations in education services (18%) and in professional occupations in law, social, community and government services (16%).

There were also some notable gender differences regarding type of position held based on immigrant status or belonging to a visible minority group (see Tables A1 and A2 in appendix 2), as is the case for all care workers. For example, a higher proportion of immigrant men than immigrant women were working in well-paid occupations, such as professional occupations in nursing (33% vs. 22%) and in health (except nursing) (35% vs. 24%). By contrast, immigrant women were more likely than their male counterparts to work as executive housekeepers and cleaning supervisors (37% vs. 30%) and in service support and other service occupations (36% vs. 29%).

Women from population groups designated as visible minorities were also less likely to hold well-paid positions than their male counterparts. In particular, Filipino and Black men were overrepresented in professional occupations in nursing (11% and 7%, respectively), with Filipino men twice as likely to be in professional occupations in nursing (11%) as Filipino women (5%). In contrast, Filipino and Black women were overrepresented in assisting occupations in support of health services (10% each), such as nurse aides, orderlies and patient service associates. Filipino women were also overrepresented in care providers and educational, legal and public protection support occupations (12%), such as home child care providers and home support workers, housekeepers and related occupations.

There were also higher proportions of South Asian and Chinese men (11% and 8%, respectively) than South Asian and Chinese women (7% and 6%, respectively) in professional occupations in health (except nursing) and technical occupations in health. These two occupational groups include well-paid occupations, such as general practitioners and family physicians and medical radiation technologists.

Indigenous people were underrepresented in most health-related occupations, particularly among professional occupations in health (except nursing) where Indigenous people only represent 1% of all care workers in this occupational group. Specifically, First Nations, Métis and Inuit people represented respectively 0.5%, 0.7% and 0.02% of all workers in this group. Care workers who identify as Indigenous were, however, overrepresented in paraprofessional occupations in legal, social, community and education services (7%), in professional occupations in law, social, community and government services (6%), as well as in care providers and educational, legal and public protection support occupations (6%). Male Indigenous people represented from 6% to 9% of all care workers in each of these three occupational groups, and Indigenous women represented 6% of workers in each of these groups. These occupational groups include, but are not limited to, social and community service workers, elementary and secondary school teachers and teacher assistants and home support workers, housekeepers and related occupations. First Nations people represented the majority of Indigenous workers in each of these three occupational groups (4% of all care workers in each group) but Inuit people were particularly overrepresented in paraprofessional occupations in legal, social, community and education services and in care providers and educational, legal and public protection support occupations. Indeed, although Inuit represent 0.1% of all Canadian workers, they represented 0.3% of all care workers in both occupational groups.

Women in care occupations reported lower average employment incomes than men

There are differences regarding the type of positions held by men and women within care occupations. For example, in health-related occupations, women were more likely to hold professional occupations in nursingNote  (29% vs. 11%), such as registered nurses and registered psychiatric nurses and nursing coordinators and supervisors, whereas men were more likely to be found in professional occupations in healthNote , such as general practitioners and family physicians, specialist physicians and dentists (45% vs. 16%).

Differences in the type of occupations held by women and men were reflected in gender differences in employment income. In 2015, the employment income of women in care occupations was, on average, lower ($59,300) than that of men ($73,400) (Table 3). Nevertheless, the income gap observed between women and men in care occupations (-$14,100; -19%) was lower than that observed among non-care occupations (-$20,500; -27%).

Although the employment income of men in care occupations was higher than that of women for the vast majority of occupationsNote , the income gap was generally wider in professional occupations in health (except nursing) (-29%), care providers and educational, legal and public protection support occupations (-29%), service supervisors and specialized service occupations (-29%) and service support and other service occupations (-27%). In health-related occupations, for example, women working as specialist physicians earned, on average, 23% less than their male counterparts. The gap was even wider among the home child care providers, where women earned 40% less annually than men.


Table 3
Average employment income of care workers who worked full time, full year in 2015, by care occupation group and sex, 2015
Table summary
This table displays the results of Average employment income of care workers who worked full-time. The information is grouped by Care occupation group (2-digit NOC) (appearing as row headers), Total, Men, Women and Income gap, calculated using Dollars and percentage units of measure (appearing as column headers).
Care occupation group (2-digit NOCTable 3 Note 1) Total Men Women Income gap
dollars percentage
All care occupations 63,279 73,400 59,300 -19
03-04 - Specialized middle management occupations 90,697 102,300 85,000 -17
30 - Professional occupations in nursing 78,660 82,500 78,200 -5
31 - Professional occupations in health (except nursing) 107,168 130,000 91,700 -29
32 - Technical occupations in health 57,158 67,400 53,900 -20
34 - Assisting occupations in support of health services 41,268 45,900 40,500 -12
40 - Professional occupations in education services 76,613 84,000 72,800 -13
41 - Professional occupations in law, social, community, government services 66,581 71,900 65,400 -9
42 - Paraprofessional occupations in legal, social, community and education services 40,897 49,800 39,600 -20
44 - Care providers in educational, legal and public protection support occupations 29,413 39,900 28,400 -29
63 - Service supervisors and specialized service occupations 48,479 55,900 39,900 -29
67 - Service support and other service occupations 38,884 43,500 31,700 -27
Non-care occupations 67,520 75,400 54,900 -27

Income gaps were also found for certain population groups (Table 4). Overall, and as in non-care occupations, immigrant ($61,900 vs. $64,100) and Indigenous people ($53,400 vs. $63,700) working in care occupations fared worse than their non-Indigenous, Canadian-born counterparts. This was also the case for those from groups designated as visible minorities ($57,700 vs. $64,600). Furthermore, male workers who were either immigrants, a population group designated as a visible minority, or Indigenous had higher employment income than their female counterparts.


Table 4
Average employment income for workers in care and non-care occupations, for those who worked full time, full year, by sex and immigrant status, visible minority group and Indigenous identity, 2015
Table summary
This table displays the results of Average employment income for workers in care and non-care occupations Care occupations, Non-care occupations, Total , Men and Women, calculated using dollars units of measure (appearing as column headers).
Care occupations Non-care occupations
Total Men Women Total Men Women
dollars
Total 63,300 73,400 59,300 67,500 75,400 54,900
Immigrant status
Non-immigrants 64,100 73,300 60,600 68,800 77,200 55,400
Immigrants 61,900 74,900 55,800 63,500 69,700 53,600
Non-permanent residents 36,600 48,100 31,500 62,900 72,200 43,900
Visible minority
Visible minority population 57,700 68,000 53,200 58,500 63,200 51,300
South Asian 64,800 78,200 58,100 61,200 66,500 50,900
Chinese 70,900 81,400 64,900 65,300 70,600 58,700
Black 54,800 59,900 53,000 52,500 54,800 48,700
Filipino 47,500 53,800 45,700 50,100 54,600 44,900
Latin American 43,800 50,200 40,700 54,500 58,900 47,300
Arab 62,100 77,500 50,200 59,000 62,300 50,300
Southeast Asian 59,200 67,000 55,400 49,900 55,600 43,100
West Asian 57,500 63,900 52,800 56,600 60,100 49,500
Korean 64,900 75,200 59,200 53,800 58,600 46,800
Japanese 72,600 83,600 67,200 75,900 88,400 60,600
Visible minority, n.i.e.Table 4 Note 1 56,500 59,300 55,500 56,800 60,900 51,300
Multiple visible minorities 62,200 67,800 59,800 59,900 65,500 52,400
Not a visible minority 64,600 74,700 60,700 69,600 78,200 55,800
Indigenous identity
Indigenous identity 53,400 58,000 51,900 57,700 64,400 48,300
Non-Indigenous identity 63,700 74,000 59,700 67,900 75,800 55,200

Among population groups designated as visible minorities, Japanese ($72,600) and Chinese ($70,900) care workers had the highest average employment incomes, being greater than those who did not belong to a visible minority group ($64,600), while Latin American ($43,800) and Filipino ($47,500) care workers had the lowest ones. This is consistent with the fact that Japanese and Chinese workers are better represented in professional occupations in health (except nursing), such as general practitioners and family physicians and specialist physicians, than Latin American and Filipino workers. These trends were the case for both women and men. While income gaps between men and women were observed for each of the visible minority groups, the gender gap was particularly high among Arab (-$27,300; -35%), South Asian (-$20,100; -26%) and Korean (-$16,000; -21%) people and the lowest among those who reported an identity not included elsewhere (-6%), were Black (-12%), or reported multiple identities (-12%). Again, some of the gender gap by population group identified as a visible minority may be explained by the fact that men are better represented than women in well-paid professional occupations in health (excluding nursing). For example, the representation of women in these occupations is more similar to that of men among Black Canadians (2% for both gender) than among Arab (2% compared with 5%) and South Asian Canadians (7% compared with 11%). Of course, these differences alone cannot account for all the gender differences observed among population groups identified as visible minorities. Other socio-economic factors, such as job tenure, may play an important role.

When looking at employment income of care workers in light of skill levels and the educational requirements of occupations, results show that a gender pay gap exists at all skill levels (Chart 1). In 2015, women earned, on average, 23% to 31% less than men working in occupations requiring similar skill levels or educational attainment. The gender pay gap was particularly large among occupations requiring only on-the-job training (-31%), although it was also notable among management occupations (-29%) and occupations requiring college or apprenticeship training (-28%).

Chart 1

Data table for Chart 1 
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1. The information is grouped by Skill level (appearing as row headers), Men and Women, calculated using dollars units of measure (appearing as column headers).
Skill level Men Women
dollars
Skill level A - Managers - Bachelor degree or higher 104,784 74,870
Skill level A - Professionals - Bachelor degree or higher 100,820 76,515
Skill level B - College or apprenticeship training 69,339 50,055
Skill level C - High school or job-specific training 52,741 40,848
Skill level D - On-the-job training 43,768 30,332

Ordinary least squares regressions were estimated to examine the difference in women and men’s employment income after taking into account personal characteristics of care workers such as age, marital status, education, immigrant status, Indigenous identity, number of children, age of youngest child, province of residence and occupation held. Interestingly, the gender pay gap increased when controlling for personal characteristics only (from 15% to 17%), meaning that women in care occupations have personal characteristics usually associated with higher incomes. This is mostly explained by the fact that women working full time full year in care occupations, have higher levels of education than menNote . When occupation—in addition to all the other factors—was taken into account in the regression, the gender pay gap reduces to 11%. This is a result of women being more likely to work in lower-paying occupations.

A large portion of the remaining gender wage gap in care occupations can also be explained by many other characteristics not covered in this study. For instance, part of the gap may be explained by the fact that women remain underrepresented in leadership roles and in more senior positions. Factors such as gender bias, discrimination in the workplace and in hiring practices may also play an important role, as women are more likely than men to face difficulties in entering certain occupations as well as obtaining promotions. Inequalities in unpaid care performed at home may also be another important factor. For example, some women may turn down promotions because they take on more parenting and domestic responsibilities.

Workers in care occupations were more likely to be covered by a collective agreement, but less likely to have a permanent job

In the following sections, data from the Labour Force Survey (LFS) are used to examine select job characteristics of care workers in Canada, as well as the impact of the pandemic on these workers. Job characteristics are based on the 2019 LFS data, which is the most recent data collected prior to the COVID-19 pandemic. Although the LFS data are more recent than those of the Census, they cannot provide as much detailed information regarding specific occupations. For instance, the sample size of the LFS does not allow to look at the job permanency by gender and specific care occupation, such as for nurses, which would be possible with Census data if information on job permanency were collected.

In 2019, workers in care occupations (83%) were less likely to have a permanent jobNote  than those in non-care occupations (89%) (Chart 2). They were, by contrast, more than twice as likely to be covered by a collective agreement (57% vs. 25%). This last finding reflects the fact that care workers are employed primarily in the public sector (schools, hospitals, etc.), where unionization rates are highest. Additionally, women in care occupations were slightly more likely than their male counterparts to have a permanent job and to be covered by a collective agreement, while the opposite is found for women in non-care occupations.

Workers in care occupations were also slightly less likely to work full time (75%) than those in non-care occupations (82%). This was entirely explained by the gap in full time work of men in care and non-care occupations. Indeed, male workers in care occupations (80%) were 7 percentage points less likely to work full time than their counterparts in non-care occupations (87%), while women in both care and non-care occupations were equally likely to be working full time (74% for each).

The fact that women, in both care and non-care occupations, are less likely to work full time than men is consistent with general findings on women’s employment. Indeed, although women have increased their participation in the labour market over time, the majority of unpaid work and family responsibilities are still undertaken by women. This may affect their ability to work longer hours and access better jobs.

Chart 2

Data table for Chart 2 
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 Men (ref.) and Women, calculated using percent units of measure (appearing as column headers).
Men (ref.) Women
percent
Care occupations Union membership 54 58Note *
Job permanency 82 84Note *
Full-time work 80 74Note *
Non-care occupations Union membership 26 23Note *
Job permanency 89 88Note *
Full-time work 87 74Note *

Employment in care occupations and non-care occupations was impacted differently during the pandemic

At the onset of the COVID-19 pandemic, in mid-March 2020, all Canadian provinces and territories implemented strict public health measures, effectively putting large parts of Canada under lockdown. Many provincial and territorial governments across Canada ordered schools and clinics offering health services, such as dentist clinics and physiotherapy clinics and the majority of stores and businesses selling non‑essential goods and services, to close.

As a result, employment fell by around 6% in March 2020 in both care and non-care occupations (Chart 3).Note  In April, the impact on employment was more severe for non-care workers. Indeed, while employment in care occupations was 9% below that of February 2020, the comparable decline in non-care occupations was 17%. This can be explained by the fact that many of the non-care occupations were in businesses that were deemed non-essential, and which continued to be closed, by contrast to most care occupations related to health which were deemed essential.

Around mid-May 2020, several provinces and territories including Ontario, Quebec, Alberta, Manitoba and Saskatchewan began to ease restrictions on certain economic and social activities and allowed select nonessential businesses to reopen. This led to an increase in employment in non-care occupations, however employment among care workers remained stable overall.

Chart 3

Data table for Chart 3 
Data table for Chart 3
Table summary
This table displays the results of Data table for Chart 3 Care occupations and Non-care occupations, calculated using percentage change units of measure (appearing as column headers).
Care occupations Non-care occupations
percentage change
2020
February 0.0 0.0
March -5.8 -5.5
April -9.1 -16.7
May -9.4 -12.5
June -4.7 -6.1
July -7.6 -3.6
August -7.6 -2.4
September -0.2 -2.4
October 0.5 -2.0
November 0.6 -2.1
December 0.8 -2.9
2021
January 0.3 -5.9
February 1.5 -4.2
March 2.2 -2.7
April 0.4 -2.8
May -0.6 -0.7
June 1.4 1.7
July -4.4 2.9
August -4.1 3.1
September 0.5 2.3
October 0.8 2.3
November 1.1 2.8

In June 2020, more restrictions were being lifted for businesses and workplaces in most parts of Canada. As a result, employment in both care and non-care occupations continued to rebound—compared with February 2020, it was down by 6% for non-care occupations and by 5% for care occupations. As restrictions were still easing, the reopening of economic activities continued in July and August. However, in July 2020, though employment increased in non-care occupations, it declined in care occupations. This decline was mostly driven by a decline in employment in management and education occupations.

In September 2020, schools across the country started to reopen and this led to an additional, sharp increase in employment in education occupations. This is a seasonal effect that occurs at the beginning of each school year. This had a positive impact on employment in care occupations overall. In the following months, employment improved slightly in care occupations while remaining unchanged in non-care occupations. By December 2020, employment in care occupations was almost the same as the February 2020 level, while it was down 3% for non-care occupations.

Employment among care workers fluctuated in the first half of 2021, but by October 2021, it was around the same level as in February 2020. For non-care workers, employment continued to improve in 2021, and by June of that year it surpassed its pre-pandemic level for the first time. In November 2021, it was 3% above the February 2020 level.

When same-month year-to-year comparisons are examined, we can note that the difference between comparable months of 2019 and 2020 peaked in April 2020 for non-care occupations (-17%) and May for care occupations (-7%) (Chart 4). Compared with 2019, employment in 2020 was much lower for non-care occupations than care occupations. For care occupations, employment in December of 2020 was even slightly higher (1%) than that in the same month of 2019. Employment continued to grow in 2021. In general, monthly employment, during the first half of 2021, was higher than that of comparable months in 2020. However, employment growth between 2020 and 2021 was more pronounced in non-care than in care occupations.

Chart 4

Data table for Chart 4 
Data table for Chart 4
Table summary
This table displays the results of Data table for Chart 4 Care occupations and Non-care occupations, calculated using percentage change units of measure (appearing as column headers).
Care occupations Non-care occupations
percentage change
2020
March -2.6 -4.6
April -6.6 -16.8
May -7.3 -14.7
June -2.9 -9.4
July -2.1 -7.0
August -2.8 -5.9
September -1.0 -4.2
October 0.3 -3.9
November 0.9 -3.3
December 1.3 -4.0
2021
January 0.6 -5.5
February 1.5 -4.2
March 8.5 3.0
April 10.4 16.6
May 9.7 13.4
June 6.4 8.3
July 3.4 6.7
August 3.7 5.6
September 0.7 4.8
October 0.2 4.4
November 0.5 5.0

Women and men were affected differently during the pandemic

At the onset of the pandemic, both men and women experienced immediate and negative impacts in terms of employment. However, women were affected more than men in the first few months following the pandemic. For example, in April 2020, women’s employment in care occupations was 10% below the level it was in February 2020, compared with 7% for men. The comparable numbers for women and men in non-care occupations were 19% and 15%, respectively. By October 2020, employment for both men and women in care occupations had gone back to levels similar to February 2020. Nevertheless, women’s monthly employment in 2020 remained lower than that in the same months of 2019, throughout 2020, while men’s employment recovered faster and was even higher than that in the same months of 2019, from August to December 2020. However, the situation evolved differently for men and women in 2021: the employment of men in care occupations slowed while that of women continued to increase. Thus, in November 2021, employment among men in care occupations was similar to the February 2020 level, while for women it was 2% higher.

Conclusion

Care workers make up an essential component of our society and economy. Canada’s aging population, combined with the impact of the COVID-19 pandemic, has put a strain on Canada’s health care system with the demand for care work being higher than ever This article is the first to provide a detailed portrait of care workers in Canada.

In 2016, care workers made up nearly one-fifth of the total employed population in Canada, with approximately 3.2 million Canadians being employed in care occupations. Most were employed in the care-related and private households industries, but a significant proportion were also employed in non-care industries.

Women made up the majority of paid care workers in Canada, accounting for three-quarters of all care workers in 2016. The distribution of men and women varied across care occupations. For example, in 2016, almost 4 in 10 female care workers were registered nurses and registered psychiatric nurses, elementary school and kindergarten teachers, nurse aides, orderlies and patient service associates or early childhood educators and assistants. The top care occupations held by men were janitors, caretakers and building superintendents, light-duty cleaners, secondary school teachers or elementary school and kindergarten teachers.

There were also differences in the educational attainment of men and women working in care occupations. Women were more likely to have a college credential, while men were more likely to have a university certificate, diploma or degree.

In addition, men had higher employment income than women, although the income gap between men and women in care occupations was lower than that of non-care workers. The gender income gap remains significant even after taking into account diverse personal characteristics and the occupation held. This means that the persistence of a relatively high level of occupational segregation among care workers does not alone explain the gender pay gap in this sector. Factors such as gender bias or discrimination in the workplace and in hiring practices could also play an important role.

Immigrant women and those from groups designated as visible minorities fared worse than their male counterparts overall. While income gaps between men and women were observed for all population groups, the gap was particularly high among Arab, South Asian and Korean people. In addition, Indigenous people were underrepresented in most health-related care occupational groups, notably in professional occupations in health. Indigenous people were, by contrast, overrepresented in paraprofessional occupations in legal, social, community and education services as well as in care providers and educational, legal and public protection support occupations. These occupational groups include positions such as social and community service workers, early childhood educators and assistants and home support workers, housekeepers and related occupations.

The COVID-19 pandemic has had a large impact on many Canadians, including care workers. Many schools, child-care centres, dentist clinics and physiotherapy clinics closed, as well as stores and businesses selling non-essential goods or services. This impacted the Canadian labour market, but workers in non-care occupations had a larger employment decrease than those working in care occupations, since many care workers continued to work providing essential services.

While the immediate impacts of the pandemic on all facets of society are undeniable, many effects will be felt in the much longer term. These include the increased recognition of the importance of care workers to society. As such, the need to fill the many vacancies in this sector will likely remain a priority in the coming years. The current article provides information to help meet these objectives by contributing to a better understanding of the current profile of these essential workers and the challenges they face.


Farhana Khanam, Manon Langevin, Katherine Savage and Sharanjit Uppal are all researchers at the Centre for Social Data Insights and Innovation at Statistics Canada.


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Data sources, methods and definitions

Data sources

This study used data from the Census of Population and the Labour Force Survey (LFS). The Census of Population is conducted every five years and gathers demographic, social, economic and cultural information on the Canadian population. In this study, Census of Population data from 2016 is used to examine the personal characteristics of care workers. The LFS is a monthly survey of approximately 56,000 households. The LFS sample is representative of the non-institutionalized population aged 15 and older. It gathers labour market information for those surveyed. In this study, LFS data from 1987 to 2020 was used to examine the job characteristics of care workers.

The data used in this study was restricted to the employed population aged 15 years and older. The employed population refers to people aged 15 and older who were paid workers, self-employed, or unpaid family workers. Unpaid household activities and unpaid child and elder care are excluded from the definition.

Methods

Descriptive statistics were used to look at the personal and job characteristics of paid care workers. In addition, a multivariate analysis was conducted to examine the gender pay gap in care occupations. Ordinary least squares regressions were estimated to examine whether a difference in employment income of men and women remained even after controlling for various personal characteristics, which include age, marital status, education, immigrant status, Indigenous identity, number of children, age of youngest child and province of residence and care occupation held. The sample was restricted to those aged 15 years and older who worked full year, full time and reported employment incomes greater than zero.

Definitions

This article is in line with the definition of care work used in the International Labour Organisation (ILO) report which broadly defines care work as consisting of activities and relations involved in meeting the physical, psychological and emotional needs of adults and children, old and young, frail and able-bodied. As defined in the ILO, care work can be performed for pay or profit (care employment) or can be unpaid (as either unpaid care work, volunteer care work or unpaid trainee care work). This paper focuses on those employed in care occupations and therefore, looks at paid care work.

The ILO report identifies care workers using the International Standard Classification of Occupations (ISCO) and the International Standard Industrial Classification (ISIC) and our definition of care workers closely mimics this using the equivalent occupational groupings found in the 2016 National Occupational Classification (NOC). However, it is important to note that this paper looked at all care occupations regardless of care industry.

For example, occupations such as elementary school and kindergarten teacher, social worker and early childhood educator and assistant were included, while occupations such as judge, lawyer and economist and economic policy researcher and analyst were excluded. In addition, occupations in the “63” and “67” 2-digit NOC code category only includes workers who are classified as “domestic workers” in the ILO report. As defined in this report, domestic workers are those working in or for a private household or multiple households. Typically, domestic workers clean, cook and perform any other household tasks that are essential to personal care of people living in the household. They also provide direct care for children, older and disabled persons.

Note, we also excluded the following two health occupations since this study focused on care workers who provided care to people: “3114 Veterinarians” and “3213 Animal health technologists and veterinary technicians.”

For a more detailed list of all the care occupations included in the four categories detailed above, please refer to Appendix 1.

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Appendix 1

Here is a detailed list of the care occupations included in each group at the 1, 2 and 4 digit levels:

0 Management occupations

    03–04 Specialized middle management occupations
      0311 Managers in health care
      0421 Administrators—postsecondary education and vocational training
      0422 School principals and administrators of elementary and secondary education
      0423 Managers in social, community and correctional services

3 Health occupations

    30 Professional occupations in nursing
      3012 Registered nurses and registered psychiatric nurses
      3011 Nursing coordinators and supervisors
    31 Professional occupations in health (except nursing)
      3111 Specialist physicians
      3112 General practitioners and family physicians
      3113 Dentists
      3121 Optometrists
      3122 Chiropractors
      3124 Allied primary health practitioners
      3125 Other professional occupations in health diagnosing and treating
      3131 Pharmacists
      3132 Dieticians and nutritionists
      3141 Audiologists and speech-language pathologists
      3142 Physiotherapists
      3143 Occupational therapists
      3144 Other professional occupations in therapy and assessment
    32 Technical occupations in health
      3211 Medical laboratory technologists
      3212 Medical laboratory technicians and pathologists’ assistants
      3214 Respiratory therapists, clinical perfusionists and cardiopulmonary technologists
      3215 Medical radiation technologists
      3216 Medical sonographers
      3217 Cardiology technologists and electrophysiological diagnostic technologists, n.e.c.
      3219 Other medical technologists and technicians (except dental health)
      3221 Denturists
      3222 Dental hygienists and dental therapists
      3223 Dental technologists, technicians and laboratory assistants
      3231 Opticians
      3232 Practitioners of natural healing
      3233 Licensed practical nurses
      3234 Paramedical occupations
      3236 Massage therapists
      3237 Other technical occupations in therapy and assessment
    34 Assisting occupations in support of health services
      3411 Dental assistants
      3413 Nurse aides, orderlies and patient service associates
      3414 Other assisting occupations in support of health services

4 Occupations in education, law and social, community and government services

    40 Professional occupations in education services
      4011 University professors and lecturers
      4012 Postsecondary teaching and research assistants
      4021 College and other vocational instructors
      4031 Secondary school teachers
      4032 Elementary school and kindergarten teachers
      4033 Educational counsellors
    41 Professional occupations in law, social, community, government services
      4151 Psychologists
      4152 Social workers
      4153 Family, marriage and other related counsellors
    42 Paraprofessional occupations in legal, social, community and education services
      4214 Early childhood educators and assistants
      4215 Instructors of persons with disabilities
      4212 Social and community service workers
    44 Care providers and educational, legal and public protection support occupations
      4413 Elementary and secondary school teacher assistants
      4412 Home support workers, housekeepers and related occupations
      4411 Home child-care providers

6 Sales and service occupations

    63 Service supervisors and specialized service occupations
      6312 Executive housekeepers
      6315 Cleaning supervisors
    67 Service support and other service occupations
      6731 Light-duty cleaners
      6733 Janitors, caretakers and building superintendents

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Appendix 2


Table A1
Characteristics of paid care workers, men only, by care occupational group, 2016
Table summary
This table displays the results of Characteristics of paid care workers. The information is grouped by Characteristic (appearing as row headers), Care occupation group (2-digit NOC), Total - Men workers, Total - Men care workers, Total - Men non-care workers, 03-04- Specialized middle management occupations , 30- Professional occupations in nursing , 31- Professional occupations in health (except nursing) , 32- Technical occupations in health , 34- Assisting occupations in support of health services and 40- Professional occupations in education services, calculated using percent units of measure (appearing as column headers).
Characteristic Care occupation group (2-digit NOCTable A1 Note 1
Total - Men workers Total - Men care workers Total - Men non-care workers 03-04- Specialized middle management occupations 30- Professional occupations in nursing 31- Professional occupations in health (except nursing) 32- Technical occupations in health 34- Assisting occupations in support of health services 40- Professional occupations in education services
percent
Immigrant status
Non-immigrants 74.4 70.7 74.7 79.6 66.1 63.0 69.4 60.1 74.6
Immigrants 24.2 27.3 23.8 19.9 32.7 35.3 29.7 38.5 21.5
Non-permanent residents 1.5 2.0 1.4 0.5 1.2 1.7 0.9 1.4 3.8
Visible minority
Visible minority population 21.2 24.2 20.9 13.3 31.9 32.9 28.2 38.6 17.1
South Asian 5.9 5.0 6.0 3.6 4.7 10.8 6.2 5.0 3.8
Chinese 4.1 3.9 4.1 3.0 4.0 8.2 6.3 2.8 4.0
Black 3.0 4.2 2.8 2.1 6.9 2.1 2.8 11.2 2.7
Filipino 2.2 3.8 2.0 0.7 10.5 0.8 4.7 12.2 0.5
Latin American 1.4 1.9 1.4 0.7 1.1 0.8 1.1 2.1 0.9
Arab 1.4 2.0 1.3 1.2 1.8 5.2 2.0 2.0 1.8
Southeast Asian 0.9 0.8 0.9 0.3 0.8 1.3 1.1 1.1 0.3
West Asian 0.8 0.9 0.8 0.5 0.7 1.7 1.0 0.5 1.4
Korean 0.5 0.5 0.5 0.4 0.3 0.8 1.3 0.2 0.5
Japanese 0.2 0.3 0.2 0.2 0.1 0.4 0.5 0.1 0.4
Visible minority, n.i.e.Table A1 Note 2 0.4 0.3 0.4 0.2 0.3 0.2 0.3 0.6 0.3
Multiple visible minorities 0.5 0.6 0.5 0.3 0.8 0.6 0.8 0.9 0.5
Not a visible minority 78.8 75.8 79.1 86.7 68.1 67.1 71.8 61.4 82.9
Indigenous identity
Indigenous identity 3.5 3.9 3.4 4.0 2.6 0.9 2.7 3.8 2.5
Single Indigenous responses 3.4 3.8 3.4 3.9 2.4 0.9 2.6 3.7 2.4
First Nations (North American Indian) 1.7 2.2 1.7 2.2 1.0 0.3 1.1 2.0 1.1
Métis 1.5 1.4 1.5 1.6 1.4 0.6 1.5 1.6 1.2
Inuk (Inuit) 0.1 0.2 0.1 0.1 0.0 0.0 0.0 0.1 0.1
Multiple Indigenous responses 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0
Indigenous responses not included elsewhere 0.1 0.1 0.1 0.0 0.1 0.0 0.0 0.1 0.0
Non-Indigenous identity 96.5 96.1 96.6 96.0 97.4 99.1 97.3 96.2 97.5

Table A1
Characteristics of paid care workers, men only, by care occupational group, 2016
Table summary
This table displays the results of Characteristics of paid care workers. The information is grouped by Characteristic (appearing as row headers), Care occupation group (2-digit NOC), Total - Men workers, Total - Men care workers, Total - Men non-care workers, 41- Professional occupations in law, social, community, and government services , 42- Paraprofessional occupations in legal, social, community and education services , 44- Care providers and educational, legal and public protection support occupations, 63- Service supervisors and specialized service occupations and 67- Service support and other service occupations , calculated using percent units of measure (appearing as column headers).
Characteristic Care occupation group (2-digit NOCTable A1 Note 1)
Total - Men workers Total - Men care workers Total - Men non-care workers 41- Professional occupations in law, social, community, and government services 42- Paraprofessional occupations in legal, social, community and education services 44- Care providers and educational, legal and public protection support occupations 63- Service supervisors and specialized service occupations 67- Service support and other service occupations
percent
Immigrant status
Non-immigrants 74.4 70.7 74.7 78.6 78.4 68.4 66.6 70.0
Immigrants 24.2 27.3 23.8 20.9 20.3 28.0 30.1 28.9
Non-permanent residents 1.5 2.0 1.4 0.5 1.3 3.6 3.2 1.2
Visible minority
Visible minority population 21.2 24.2 20.9 15.9 22.0 30.6 26.3 24.5
South Asian 5.9 5.0 6.0 3.2 4.0 4.8 5.3 3.7
Chinese 4.1 3.9 4.1 2.2 2.1 3.9 1.6 2.1
Black 3.0 4.2 2.8 5.8 8.3 7.2 3.6 4.5
Filipino 2.2 3.8 2.0 0.6 2.0 8.5 6.3 6.2
Latin American 1.4 1.9 1.4 1.2 1.7 1.6 5.5 3.9
Arab 1.4 2.0 1.3 0.6 1.5 1.3 1.8 1.2
Southeast Asian 0.9 0.8 0.9 0.4 0.5 1.1 0.3 0.9
West Asian 0.8 0.9 0.8 0.6 0.6 0.5 0.3 0.5
Korean 0.5 0.5 0.5 0.2 0.3 0.3 0.6 0.3
Japanese 0.2 0.3 0.2 0.2 0.2 0.2 0.2 0.1
Visible minority, n.i.e.Table A1 Note 2 0.4 0.3 0.4 0.3 0.4 0.4 0.3 0.4
Multiple visible minorities 0.5 0.6 0.5 0.5 0.5 0.7 0.7 0.6
Not a visible minority 78.8 75.8 79.1 84.1 78.0 69.4 73.8 75.5
Indigenous identity
Indigenous identity 3.5 3.9 3.4 5.7 8.9 8.6 3.9 5.4
Single Indigenous responses 3.4 3.8 3.4 5.5 8.8 8.5 3.7 5.3
First Nations (North American Indian) 1.7 2.2 1.7 3.7 6.0 6.0 1.8 3.2
Métis 1.5 1.4 1.5 1.7 2.3 2.0 1.8 1.7
Inuk (Inuit) 0.1 0.2 0.1 0.1 0.4 0.5 0.1 0.4
Multiple Indigenous responses 0.0 0.0 0.0 0.1 0.1 0.0 0.1 0.0
Indigenous responses not included elsewhere 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.1
Non-Indigenous identity 96.5 96.1 96.6 94.2 91.1 91.4 96.1 94.6

Table A2
Characteristics of paid care workers, women only, by care occupational group, 2016
Table summary
This table displays the results of Characteristics of paid care workers. The information is grouped by Characteristic (appearing as row headers), Care occupation group (2-digit NOC), Total - Women workers, Total - Women care workers, Total - Women non-care workers, 03-04- Specialized middle management occupations , 30- Professional occupations in nursing , 31- Professional occupations in health (except nursing) , 32- Technical occupations in health , 34- Assisting occupations in support of health services and 40- Professional occupations in education services, calculated using percent units of measure (appearing as column headers).
Characteristic Care occupation group (2-digit NOCTable A2 Note 1)
Total - Women workers Total - Women care workers Total - Women non-care workers 03-04- Specialized middle management occupations 30- Professional occupations in nursing 31- Professional occupations in health (except nursing) 32- Technical occupations in health 34- Assisting occupations in support of health services 40- Professional occupations in education services
percent
Immigrant status
Non-immigrants 75.2 74.9 75.4 82.3 77.7 74.7 77.7 66.2 82.9
Immigrants 23.5 23.7 23.4 17.4 21.8 24.4 21.7 32.8 15.8
Non-permanent residents 1.3 1.3 1.2 0.3 0.5 0.9 0.5 1.0 1.4
Visible minority
Visible minority population 21.4 21.1 21.5 12.0 20.0 23.2 20.2 30.4 12.9
South Asian 4.8 4.0 5.1 2.9 3.7 6.9 4.1 3.9 3.4
Chinese 4.4 2.7 5.1 2.4 2.4 6.4 3.7 1.9 2.9
Black 3.2 4.4 2.8 2.3 5.4 1.6 3.2 9.9 1.8
Filipino 3.2 4.7 2.6 0.9 5.0 1.2 4.5 9.9 0.6
Latin American 1.4 1.6 1.4 0.7 0.7 0.6 1.1 1.8 0.7
Arab 0.9 1.1 0.9 0.8 0.4 2.4 0.8 0.5 1.1
Southeast Asian 1.0 0.6 1.1 0.3 0.6 1.2 0.8 0.7 0.3
West Asian 0.6 0.6 0.7 0.4 0.4 1.1 0.6 0.4 0.7
Korean 0.5 0.4 0.6 0.4 0.4 0.6 0.4 0.2 0.4
Japanese 0.3 0.2 0.3 0.3 0.2 0.4 0.3 0.2 0.4
Visible minority, n.i.e.Table A2 Note 2 0.4 0.4 0.4 0.3 0.3 0.2 0.3 0.5 0.3
Multiple visible minorities 0.6 0.5 0.6 0.4 0.5 0.6 0.5 0.6 0.4
Not a visible minority 78.6 78.9 78.5 88.0 80.0 76.8 79.8 69.6 87.1
Indigenous identity
Indigenous identity 3.9 4.4 3.7 4.8 3.0 1.4 3.3 4.8 3.3
Single Indigenous responses 3.8 4.3 3.6 4.7 2.9 1.3 3.2 4.7 3.2
First Nations (North American Indian) 2.0 2.4 1.9 2.9 1.3 0.6 1.4 2.4 1.7
Métis 1.7 1.7 1.6 1.6 1.5 0.7 1.8 2.1 1.3
Inuk (Inuit) 0.1 0.2 0.1 0.2 0.0 0.0 0.0 0.1 0.1
Multiple Indigenous responses 0.1 0.1 0.1 0.0 0.0 0.0 0.0 0.1 0.0
Indigenous responses not included elsewhere 0.1 0.1 0.1 0.1 0.1 0.0 0.0 0.1 0.1
Non-Indigenous identity 96.1 95.6 96.3 95.2 97.0 98.6 96.7 95.2 96.7

Table A2
Characteristics of paid care workers, women only, by care occupational group, 2016
Table summary
This table displays the results of Characteristics of paid care workers. The information is grouped by Characteristic (appearing as row headers), Care occupation group (2-digit NOC), Total - Women workers, Total - Women care workers, Total - Women non-care workers, 41- Professional occupations in law, social, community, and government services , 42- Paraprofessional occupations in legal, social, community and education services , 44- Care providers and educational, legal and public protection support occupations, 63- Service supervisors and specialized service occupations and 67- Service support and other service occupations , calculated using percent units of measure (appearing as column headers).
Characteristic Care occupation group (2-digit NOCTable A2 Note 1)
Total - Women workers Total - Women care workers Total - Women non-care workers 41- Professional occupations in law, social, community, and government services 42- Paraprofessional occupations in legal, social, community and education services 44- Care providers and educational, legal and public protection support occupations 63- Service supervisors and specialized service occupations 67- Service support and other service occupations
percent
Immigrant status
Non-immigrants 75.2 74.9 75.4 84.4 76.8 67.7 59.5 62.8
Immigrants 23.5 23.7 23.4 15.1 22.4 27.9 37.4 35.5
Non-permanent residents 1.3 1.3 1.2 0.5 0.8 4.4 3.2 1.6
Visible minority
Visible minority population 21.4 21.1 21.5 12.5 20.1 27.2 27.6 27.6
South Asian 4.8 4.0 5.1 3.2 4.1 4.3 5.4 3.9
Chinese 4.4 2.7 5.1 1.6 2.0 2.1 1.6 2.4
Black 3.2 4.4 2.8 3.8 4.9 4.1 3.8 5.4
Filipino 3.2 4.7 2.6 0.5 2.1 11.5 7.8 7.1
Latin American 1.4 1.6 1.4 1.2 2.0 1.6 6.1 5.5
Arab 0.9 1.1 0.9 0.4 2.4 1.1 0.5 0.7
Southeast Asian 1.0 0.6 1.1 0.2 0.4 0.7 0.5 1.1
West Asian 0.6 0.6 0.7 0.5 0.7 0.5 0.4 0.3
Korean 0.5 0.4 0.6 0.2 0.5 0.2 0.6 0.2
Japanese 0.3 0.2 0.3 0.2 0.2 0.2 0.0 0.1
Visible minority, n.i.e.Table A2 Note 2 0.4 0.4 0.4 0.3 0.4 0.4 0.4 0.4
Multiple visible minorities 0.6 0.5 0.6 0.3 0.4 0.6 0.6 0.5
Not a visible minority 78.6 78.9 78.5 87.5 79.9 72.8 72.4 72.4
Indigenous identity
Indigenous identity 3.9 4.4 3.7 6.3 6.3 5.9 5.4 6.2
Single Indigenous responses 3.8 4.3 3.6 6.2 6.2 5.7 5.4 6.1
First Nations (North American Indian) 2.0 2.4 1.9 3.8 3.9 3.3 2.8 3.7
Métis 1.7 1.7 1.6 2.3 2.0 2.1 2.6 2.0
Inuk (Inuit) 0.1 0.2 0.1 0.1 0.3 0.3 0.1 0.4
Multiple Indigenous responses 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.1
Indigenous responses not included elsewhere 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.1
Non-Indigenous identity 96.1 95.6 96.3 93.7 93.7 94.1 94.6 93.8

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