Census in Brief
Is field of study a factor in the earnings of young bachelor's degree holders?


Release date: November 29, 2017

Highlights

  • Overall, young graduates with a bachelor's degree in science, technology, engineering and mathematics (STEM) fields of study had higher earnings in 2015 than those in business, humanities, health, arts, social science and education (BHASE) fields of study. Young men with a STEM degree earned 23.9% more than young men with a BHASE degree, whereas young women with a STEM degree earned 11.5% more than young women with a BHASE degree.
  • 'Engineering' graduates earned the most among young men and women with a bachelor's degree in STEM. However, not all STEM fields had high earnings. 'Biological sciences' was the field with the lowest earnings among STEM graduates, below the median for graduates overall.
  • 'Nursing' graduates earned the most among young people with a bachelor's degree in BHASE. Young 'nursing' graduates had median earnings of $75,027 for women and $77,698 for men.
  • Men were more likely to have a degree in high‑paying STEM fields such as 'engineering,' while women were more likely to have a degree in high‑paying BHASE fields such as 'nursing.'

Introduction

Young graduates from many different fields of study help ensure a prosperous future for Canada. They are those who will build and maintain a strong social infrastructure in areas such as education, communications, justice and health, alongside graduates in science, technology, engineering and mathematics (STEM), who will advance the frontiers of science and technology and increase the competitiveness of the Canadian economy globally.

Understanding how these graduates fare in the labour market is not only important for policy makers, but also for young people themselves in making their education decisions. The 2016 Census in Brief article entitled Are young bachelor's degree holders finding jobs that match their studies? looks at whether young graduates from different fields of study are finding jobs that require their level of education, and whether their job matches their field of study. The analysis in the current article complements that publication by looking at the earnings of young bachelor's degree holders by their field of study.

This article will focus on the earningsNote 1 of young people aged 25 to 34 who completed their education in Canada,Note 2 and are bachelor's degree holdersNote 3 from STEM and BHASE (business, humanities, health, arts, social science and education) fields of study.Note 4 To make earnings more comparable, it includes only graduates who were paid employees working full time and full year in 2015.

Overall, young graduates with a degree in STEM fields had higher earnings than those from BHASE fields

STEM graduates are well compensated in the labour market for their skills, especially young men. The median earnings for young men with a STEM degree at the bachelor's level were $72,443 annually in 2015, 23.9% higher than the median earnings of $58,488 for young men with a BHASE degree. For young women, the difference is smaller: those with a STEM degree earned 11.5% more than those with a BHASE degree.

Among STEM fields, earnings were highest for young 'engineering' graduates

Among young employed STEM graduates, 7 in 10 of those who studied 'engineering' and 'computer and information sciences' found jobs in science and technology occupations. Both young men and women with 'engineering' qualifications earned more than those who graduated from other STEM fields. The median earnings for young men with an 'engineering' degree were $78,054 while they were $75,023 for young women. Young graduates in 'mathematics and computer and information sciences' also had strong earnings, higher than the overall median for both men and women with a bachelor's degree.

Graduates from 'biological sciences' had earnings below the overall median

Not all STEM fields had as strong labour market outcomes as 'engineering' and 'computer and information sciences,' perhaps reflecting a less specific job market for those with undergraduate degrees in more general fields of study. The STEM field whose graduates earned the least was 'biological sciences.' Women with a degree in 'biological sciences' had earnings that were 3.5% lower than those for women overall, while men had earnings that were 12.1% less than those for men overall. Men with 'general and integrated sciences' degrees also had lower earnings than men overall.

Men more likely than women to study in high‑paying STEM fields

The returns to a STEM education were different between men and women in 2015: women who graduated from a STEM field earned 82.1% of what men who graduated from a STEM field earned. This is partly because men tend to study in high‑paying STEM fields: over three‑quarters of men who studied in STEM programs completed their bachelor's degree in either 'engineering' or 'mathematics and computer and information sciences.' In contrast, women were more likely to complete their bachelor's degree in lower‑paying STEM fields: over 4 in 10 women who studied in STEM fields completed their degree in 'biological sciences.'

The earnings of women and men who graduated from the same STEM subfields were comparable. For example, women in 'computer and information sciences' and 'biological sciences' both earned about 93% of what men earned, although women represented a relatively small proportion of young 'computer and information sciences' graduates. Women in 'engineering' earned 96% of what men earned, up from 92% in 2006; however, as with 'computer and information sciences,' women represented a relatively small proportion of young 'engineering' graduates.

Chart 1 Median annual earnings of women aged 25 to 34 with a bachelor's degree who worked full time and full year as paid employees, by selected STEM and BHASE fields of study, Canada, 2015

Data table for Chart 1
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1 Women, calculated using median annual earnings ($) units of measure (appearing as column headers).
Women
median annual earnings ($)
Nursing 75,027
Engineering 75,023
Computer and information science 65,194
Mathematics and related studies 63,373
Business and administration 55,513
Physical and chemical sciences 55,046
All fields of study 54,112
Education and teaching 53,518
Biological sciences 52,193
Social and behavioural sciences 48,734
Arts and humanities 44,892

Chart 2 Median annual earnings of men aged 25 to 34 with a bachelor's degree who worked full time and full year as paid employees, by selected STEM and BHASE fields of study, Canada, 2015

Data table for Chart 2
Data table for Chart 2
Table summary
This table displays the results of Data table for Chart 2 Men, calculated using median annual earnings ($) units of measure (appearing as column headers).
Men
median annual earnings ($)
Engineering 78,054
Nursing 77,698
Mathematics and related studies 72,513
Computer and information science 70,563
Physical and chemical sciences 63,923
All fields of study 63,770
Business and administration 63,057
Education and teaching 57,695
Social and behavioural sciences 56,213
Biological sciences 56,065
Arts and humanities 47,795

Among BHASE fields, earnings were highest for young 'nursing' graduates  

As shown in charts 1 and 2, young 'nursing' graduates earned as much as young 'engineering' graduates and more than graduates in any other field of study. Women were much more likely than men to study 'nursing.' In fact, more than 9 in 10 young 'nursing' graduates were women. The high earnings of young 'nursing' graduates partly reflect the strong demand for their health care skills in an aging society. Nurses also often do shift work, which may be compensated at a higher rate.

'Education and teaching' graduates were similar to 'nursing' graduates in being able to find work that matches their level of education, with nearly 19 in 20 working in jobs that require a postsecondary education. However, other Statistics Canada education data have shown that recent 'education' graduates were more likely than other recent graduates to work in non‑permanent jobs such as contract work.Note 5 Furthermore, unlike the top earnings of young 'nursing' graduates, the earnings of young 'education and teaching' graduates were closer to the median for all BHASE graduates. Their earnings were lower than 'nursing' and 'business and administration' graduates. 

'Arts and humanities' studies a stepping stone for young graduates

'Arts and humanities' was the field where graduates had the smallest remuneration in the labour market. Many who study in these fields see them as a stepping stone. For example, after having developed important critical thinking and writing skills, 'arts and humanities' bachelor's degree holders often pursue further studies at either the university or college level. Other Statistics Canada education and labour dataNote 6 have shown that, in 2014, about one‑third of those with a bachelor's degree or higher in 'humanities' had completed another program at either the university, college or trades level.

Young STEM graduates had the highest earnings in resource‑rich provinces

STEM graduates had higher earnings than BHASE graduates overall in the country, and this is particularly true in resource‑rich provinces where STEM graduates were in high demand. For example, in Newfoundland and Labrador, young men with a STEM degree earned 47% more than young men with a BHASE degree. The provinces with the highest earnings for both young men and women with a STEM degree were the resource‑rich provinces of Alberta, Newfoundland and Labrador and Saskatchewan.

Young men with an 'engineering' degree living in Calgary earned $108,566 in 2015, the highest earnings of any large urban centre. Also in Alberta, young men with an 'engineering' degree earned $149,237 in the regional municipality of Wood Buffalo, where Fort McMurray is located. These were the highest earnings among all municipalities in Canada, reflecting the oil boom and strong demand for such graduates in Alberta in the decade preceding the 2016 Census. Other Statistics Canada labour data show that, in 2016, the labour market in Alberta was showing signs of the after‑effects of the decreased price of oil, with employment and earnings declines across most sectors in the province.Note 7

The large urban centres with the top‑paid women in BHASE fields were all in the oil‑producing provinces

The oil boom of the decade preceding the census did not benefit only those with a STEM education in the oil‑producing provinces. Young women with BHASE bachelor's degrees in the same resource‑rich provinces also had higher earnings than those in other provinces. Calgary, Regina, Edmonton, Saskatoon, Lethbridge and St. John's were the large urban centres where young women from BHASE fields earned the most. These urban centres are all located in the three resource‑rich provinces of Alberta, Saskatchewan, and Newfoundland and Labrador. In all of these large urban centres, young women with a BHASE bachelor’s degree had median annual earnings above $56,000. In Calgary, they earned $66,408.

Table 1
Distribution of women and men aged 25 to 34 with a bachelor’s degree who worked full time and full year as paid employees, by STEM and BHASE fields of study, Canada, 2016
Table summary
This table displays the results of Distribution of women and men aged 25 to 34 with a bachelor’s degree who worked full time and full year as paid employees Women, Men and Total , calculated using percent units of measure (appearing as column headers).
Women Men Total
percent
STEM 13.8 37.3 24.3
Science and science technology 8.7 8.7 8.7
Physical and chemical sciences 0.9 2.0 1.4
Biological sciences 5.8 4.8 5.4
General and integrated sciences 2.1 1.8 2.0
Engineering and engineering technology 3.1 20.1 10.8
Engineering 3.1 20.1 10.7
Mathematics and computer and information science 1.9 8.4 4.8
Mathematics and related studies 1.0 2.0 1.5
Computer and information science 0.9 6.5 3.4
BHASE (non-STEM)Table 1 Note 1 86.2 62.7 75.7
Business and administration 19.6 26.9 22.9
Arts and humanities 13.2 9.6 11.6
Arts 4.2 2.7 3.5
Humanities 9.0 7.0 8.1
Social and behavioural sciences 22.7 15.6 19.5
Health care 11.7 2.0 7.3
Nursing 9.5 1.2 5.8
Health care, n.e.c. 2.2 0.8 1.5
Education and teaching 14.0 4.9 9.9
Trades, services, natural resources and conservationTable 1 Note 2 4.8 3.6 4.3
All fields of studyTable 1 Note 1 100.0 100.0 100.0
Table 2
Median annual earnings of women and men aged 25 to 34 with a bachelor's degree who worked full time and full year as paid employees, by STEM and BHASE fields of study, Canada, 2015
Table summary
This table displays the results of Median annual earnings of women and men aged 25 to 34 with a bachelor's degree who worked full time and full year as paid employees Women, Men, Total and Women's earnings as percentage of men's earnings, calculated using dollars and percent units of measure (appearing as column headers).
Women Men Total Women's earnings as percentage of men's earnings
dollars percent
STEM 59,492 72,443 68,450 82.1
Science and science technology 52,875 58,342 55,336 90.6
Physical and chemical sciences 55,046 63,923 61,200 86.1
Biological sciences 52,193 56,065 53,481 93.1
General and integrated sciences 54,327 60,884 56,937 89.2
Engineering and engineering technology 75,014 78,041 77,627 96.1
Engineering 75,023 78,054 77,641 96.1
Mathematics and computer and information science 64,314 71,056 69,743 90.5
Mathematics and related studies 63,373 72,513 68,897 87.4
Computer and information science 65,194 70,563 69,912 92.4
BHASE (non-STEM)Table 2 Note 1 53,345 58,488 55,118 91.2
Business and administration 55,513 63,057 59,057 88.0
Arts and humanities 44,892 47,795 45,859 93.9
Arts 41,238 44,327 42,119 93.0
Humanities 46,690 48,886 47,586 95.5
Social and behavioural sciences 48,734 56,213 51,015 86.7
Health care 72,919 73,890 73,042 98.7
Nursing 75,027 77,698 75,245 96.6
Health care, n.e.c. 59,064 63,995 59,887 92.3
Education and teaching 53,518 57,695 54,390 92.8
Trades, services, natural resources and conservationTable 2 Note 2 51,517 58,504 53,828 88.1
All fields of studyTable 2 Note 1 54,112 63,770 58,144 84.9

Data sources, methods and definitions

Data sources

The data in this analysis are from the 2016 Census of Population. Further information on the census can be found in the Guide to the Census of Population, 2016, Catalogue no. 98‑304‑X.

All information on the quality and comparability of census data on education can be found in the Education Reference Guide, Census of Population, 2016, Catalogue no. 98‑500‑X2016013.

Methods

This analysis only considers the labour market outcomes of immigrants and non‑immigrants (thus excluding non‑permanent residents) whose highest level of education completed was a bachelor's degree. Students in some fields of study may be more likely to pursue further education, and those who do so may have different labour market outcomes than what is presented in this analysis.

Furthermore, the earnings presented in the paper are for graduates aged 25 to 34. As these graduates progress through their careers, earnings for some of them in certain fields of study may grow faster than others. In order to make earnings more comparable, the report includes graduates from entry‑level bachelor's programs. The analysis therefore excludes bachelor's degree holders who studied 'law' or 'pharmacy' because these programs normally require previous university education prior to entry.

Random rounding and percentage distributions: To ensure the confidentiality of responses collected for the 2016 Census, a random rounding process is used to alter the values reported in individual cells. As a result, when these data are summed or grouped, the total value may not match the sum of the individual values since the total and subtotals are independently rounded. Similarly, percentage distributions, which are calculated on rounded data, may not necessarily add up to 100%.

Because of random rounding, counts and percentages may vary slightly between different census products such as the analytical documents, highlight tables and data tables.

Definitions

The universe for this article is those who worked full time and full year as paid employees. This refers to a person who worked 30 hours or more per week for at least 49 weeks during the reference year as a paid employee (thus excluding the self‑employed) working for wages, salaries and commissions. Thus, the universe for this study excludes 44.7% of young graduates aged 25 to 34 who were not working full time or full year in 2015, as well as 2.3% of young graduates aged 25 to 34, who were working full time and full year but were self‑employed. 

Please refer to the Dictionary, Census of Population, 2016, Catalogue no. 98‑301‑X, for additional information on the census variables.

Additional information

Additional analyses on education can be found in The Daily of November 29, 2017, and in the Census in Brief articles entitled Does education pay? A comparison of earnings by level of education in Canada and its provinces and territories, Catalogue no. 98‑200‑X2016024, and Are young bachelor's degree holders finding jobs that match their studies?, Catalogue no. 98‑200‑X2016025.

Additional information on education can be found in the Highlight tables, Catalogue no. 98‑402‑X2016010; the Data tables, Catalogue nos. 98‑400‑X2016204 and 98‑400‑X2016240 to 98‑400‑X2016280; the Census Profile, Catalogue no. 98‑316‑X2016001; and the Focus on Geography Series, Catalogue no. 98‑404‑X2016001.

Thematic maps for this topic are also available for Canada by census division.

An infographic entitled Canada's educational portrait also illustrates some key findings on education in Canada.

For details on the concepts, definitions and variables used in the 2016 Census of Population, please consult the Dictionary, Census of Population, 2016, Catalogue no. 98‑301‑X.

In addition to response rates and other data quality information, the Guide to the Census of Population, 2016, Catalogue no. 98‑304‑X, provides an overview of the various phases of the census including content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination.

Acknowledgments

This report was prepared by John Zhao, Sarah Jane Ferguson, Heather Dryburgh, Carlos Rodriguez and Rajendra Subedi of Statistics Canada's Tourism and Centre for Education Statistics Division, with the assistance of other staff members in that division, and the collaboration of staff members of the Census Subject Matter Secretariat, Census Operations Division, and Communications and Dissemination Branch.

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