Release date: May 27, 2026

DOI: https://doi.org/10.25318/36280001202600500004-eng

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This study was jointly conducted by Immigration, Refugees and Citizenship Canada and Statistics Canada.

Abstract

This article provides a broad assessment of occupational match and associated earnings outcomes among immigrants admitted to Canada from 2010 to 2020. Using linked data from the Longitudinal Immigration Database and the 2021 Census of Population, this study examines the extent to which recent immigrants work in occupations aligned with their intended occupation at admission, identifies the characteristics associated with occupational match and analyzes the earnings implications of matching versus not matching with intended occupations.

Findings indicate that about one in five recent immigrants worked in their intended specific occupation in 2021, although match rates were higher at broader occupational levels. Occupational match varied substantially across sociodemographic groups: it was higher for those with a graduate education, those from more developed source countries and immigrants with previous Canadian work experience. Among those who did not work in their intended occupation, a large share moved to lower-skilled jobs, with older immigrants, women, those without official language knowledge and those lacking Canadian work experience facing the highest likelihood of downward mobility. Earnings differences between those who worked in their intended occupation and those who did not were large. Those who worked in their intended occupation earned nearly 50% more on average, underscoring the significant cost of skill mismatch. The earnings penalties of occupational mismatch were especially pronounced for highly educated immigrants.

Authors

Jianwei Zhong and Haozhen Zhang are with the Research and Knowledge Mobilization Division at Immigration, Refugees and Citizenship Canada. Hanqing Qiu and Feng Hou are with the Economic and Social Analysis and Modelling Division, Analytical Studies and Modelling Branch, at Statistics Canada.

Acknowledgments

The authors would like to thank Winnie Chan, Chantal Goyette and Kathrine Wall for their advice and comments on an earlier version of this article.

Introduction

Immigrants’ occupational match, often referred to as the extent to which immigrants maintain or obtain employment consistent with their pre-migration skills and qualifications, reflects not only the efficiency of skill transferability but also the inclusiveness of the receiving country’s labour market. Research has emphasized occupational match as an important marker of successful economic integration (Schimmele & Hou, 2024). Some immigrants may experience occupational downgrading, where they are employed below the level of their pre-migration education and experience (Reitz, 2001; Chiswick & Miller, 2009). This mismatch, sometimes described as brain waste, undermines immigrants’ economic well-being and represents a loss of potential productivity for receiving societies (Mattoo, Neagu, & Özden, 2008). Occupational match is therefore essential to maximizing the returns on immigrants’ human capital and to ensuring that immigration systems effectively address labour market needs (Houle & Yssaad, 2010).

At the individual level, the ability to retain one’s occupational status is strongly linked to income, job satisfaction and mental health outcomes (Zikic, Bonache, & Cerdin, 2010). Conversely, persistent skill underutilization can lead to downward mobility and long-term disadvantages, limiting opportunities for economic and social advancement (Fuller & Martin, 2012). At the systemic level, low occupational match often signals broad structural barriers such as the non-recognition of foreign credentials, lack of host-country experience and discriminatory hiring practices (Sweetman & Warman, 2014).

Therefore, the study of occupational match provides empirical and policy-relevant insights. It captures the degree to which immigrants’ occupational intentions are realized in the Canadian labour market. While occupational match offers useful insights into skill alignment and the effectiveness of selection policies, it must be interpreted in light of systemic factors such as labour market demand and supply, foreign credential recognition, and licensing requirements, which can significantly influence occupational outcomes.

This article focuses on recent immigrants admitted from 2010 to 2020. It provides a broad assessment of their occupational match, examines patterns of movement to lower-skilled jobs when changing occupations and evaluates the impact of occupational mismatch on immigrants’ earnings.

Specifically, this article addresses three key research questions. First, to what extent do recent immigrants work in occupations that match their intended occupations at admission? Second, which groups are more likely to transition to lower-skilled occupations? And third, how does occupational match influence employment earnings?

Data and method

The Longitudinal Immigration Database and the 2021 Census of Population were linked to analyze occupational match and occupational change for immigrants. The target population includes immigrants aged 18 to 54 at admission who were admitted from 2010 to 2020 and had an intended occupation.Note 1

Occupation is examined using the 2016 National Occupational Classification (NOC) at multiple levels. Occupational match is defined as a match between individuals’ intended occupation at the time of admission and their actual occupation in the 2021 Census at the two-digit (major group), three-digit (minor group) or four-digit (unit group) level. If the intended and actual occupation codes differ at a given level, the person is considered an occupational mismatch at that NOC level.

The extent of occupational match among recent immigrants

Overall match rates

Occupational match at the NOC four-digit level was 20% in 2021 among recent immigrants admitted from 2010 to 2020, indicating that about one in five worked in their intended specific occupation (Table 1). Match rates were higher at the three-digit (27%) and two-digit (32%) levels because these broader categories combine closely related unit groups, meaning that shifts among similar four-digit occupations are not considered as mobility at those levels.

Match rates by sociodemographic characteristics

Beyond overall trends, occupational match varied considerably across several sociodemographic characteristics, and these variations were generally consistent across the NOC two-digit, three-digit and four-digit levels.Note 2

Immigrants who were aged 18 to 24 at admission had lower occupational match rates than those in older age groups at the NOC two-digit, three-digit and four-digit levels; differences among the 25-to-34, 35-to-44 and 45-to-54 age groups were relatively small. By gender, recent immigrant men consistently exhibited higher occupational match rates than women. The observed gender gap in the match rates narrowed by 57% at the four-digit level and 27% at the two-digit level after adjusting for differences in the covariates in Table 1, including the presence of children aged 18 or younger in the family.Note 3

Education and language proficiency also played important roles. Higher educational levels were associated with higher occupational match, with those holding degrees above the bachelor’s level showing the highest rates. While this association held at all three NOC digit levels, it was particularly pronounced at the two-digit level. Regarding knowledge of official languages, recent immigrants who knew only English had the highest occupational match rate compared with immigrants reporting other official language profiles. However, after adjusting for the covariates in Table 1, the differences in match rates between immigrants who spoke only English and those who spoke only French or were bilingual were no longer statistically significant.

Occupational match further varied by immigration category. Economic immigrants had higher occupational match rates than family immigrants, with Canadian Experience Class (CEC) immigrants having the highest occupational match rates among economic immigrants. However, after adjusting for differences in Canadian work experience before admission, immigrants admitted through the CEC and the Federal Skilled Worker Program exhibited similar occupational match rates at the NOC two-digit and three-digit levels, while differences in match rates between CEC and Provincial Nominee Program immigrants were substantially reduced. These results suggest that Canadian work experience before admission is the key factor underlying group differences by immigration class in occupational match rates among economic immigrants.

Patterns by source country reveal a notable contrast. Immigrants from more developed countries such as the United States, the United Kingdom and France had significantly higher occupational match rates compared with those from other top source countries. These three countries also share one of Canada’s official languages. Immigrants from the Philippines tended to have the lowest match rates at all three NOC levels, even after adjusting for group differences in other covariates in Table 1.

Pre-admission Canadian work experience was associated with a substantial difference in occupational match rates. Recent immigrants with previous Canadian work experience had much higher occupational match rates than those without such experience, by 10 percentage points at the NOC four-digit level and 12 percentage points at the two-digit level. These differences remained unchanged even after adjusting for other covariates in Table 1. These results align with earlier research showing that pre-admission Canadian work experience involves both employer selection, which may improve the match between immigrants’ skills and employers’ needs, and self-selection, as some less successful temporary foreign workers may choose not to pursue permanent residency (Hou & Bonikowska, 2018; Lu & Hou, 2020).

Recent immigrants with previous Canadian study experience were observed to have slightly higher occupational match rates than those without such experience. However, this relationship was reversed once differences in pre-admission Canadian work experience and other sociodemographic characteristics were accounted for in the multivariate analysis. Earlier research similarly finds that former international students without Canadian work experience do not perform better in the labour market after obtaining permanent residence than other immigrants (e.g., Crossman & Hou, 2022).

Table 1
Occupational match among immigrants who were admitted from 2010 to 2020, by sociodemographic characteristics Table summary
The information is grouped by Sociodemographic characteristics (appearing as row headers), Person count, Match at the NOC four-digit level, Match at the NOC three-digit level and Match at the NOC two-digit level, calculated using number and percent units of measure (appearing as column headers).
Sociodemographic characteristics Person count Match at the NOC four-digit level Match at the NOC three-digit level Match at the NOC two-digit level
number percent
Note: NOC = National Occupational Classification.
Sources: Statistics Canada, Longitudinal Immigration Database and 2021 Census of Population.
All 568,150 20.4 27.1 32.1
Age group at admission  
18 to 24 22,340 17.0 21.6 26.6
25 to 34 339,690 20.5 27.8 32.9
35 to 44 166,660 20.4 26.7 31.4
45 to 54 39,460 21.7 26.7 30.6
Gender  
Men 345,470 21.4 29.4 34.9
Women 222,680 18.8 23.7 27.7
Educational attainment in 2021  
High school or lower 45,080 18.8 23.4 27.6
Postsecondary education below bachelor's degree 105,180 20.2 24.7 29.6
Bachelor's degree 202,760 19.6 26.6 30.9
Postsecondary education above bachelor's degree 215,130 21.5 29.6 35.4
Official language at admission  
English only 435,470 22.0 29.0 33.6
French only 36,080 14.8 20.7 26.0
English and French 78,660 15.7 22.0 28.6
Neither English nor French 17,720 13.5 18.4 22.8
Immigration class  
Federal Skilled Worker Program 146,730 20.4 27.7 32.3
Provincial Nominee Program 168,330 22.6 28.2 32.9
Canadian Experience Class 100,670 26.8 36.5 41.8
Other economic class 136,420 13.6 19.4 24.7
Family class 16,000 14.7 18.9 22.9
Top 10 source countries  
India 133,620 20.3 30.0 34.2
Philippines 77,190 17.3 20.5 23.4
China 48,020 17.3 24.3 30.0
Pakistan 13,860 17.9 23.8 28.4
Iran 19,690 18.9 24.7 31.7
United States 9,500 37.0 43.7 48.9
France 21,080 25.1 33.3 40.4
United Kingdom 15,290 33.5 38.4 44.7
Syria 16,300 19.1 24.2 28.3
Nigeria 12,310 28.3 36.0 40.5
Previous Canadian work experience  
Yes 298,720 25.1 32.6 37.7
No 269,430 15.2 21.1 25.8
Previous Canadian study experience  
Yes 142,440 21.7 28.2 33.6
No 425,710 20.0 26.8 31.6
Attended school in the previous nine months  
Yes 56,790 14.7 19.2 23.4
No 511,360 21.0 28.0 33.0
Presence of children aged 18 or younger  
Yes 304,570 19.6 26.3 31.1
No 263,580 21.3 28.1 33.2

Match rates by intended occupation

The match rates varied substantially across intended occupations (Chart 1). For instance, at the NOC two-digit level, professional occupations in natural and applied sciences had the highest match rate (57%), followed by professional occupations in business and finance (31%) and professional occupations in education services (29%). At the three-digit level, the highest match rates were seen for computer and information systems professionals (67%); professional occupations in nursing (46%); and auditors, accountants and investment professionals (35%). At the four-digit specific occupation level, registered nurses and registered psychiatric nurses had the highest match rate (45%), followed by software engineers and designers (37%) and information systems analysts and consultants (34%).Note 4

Chart 1 Occupational match rates for the top three intended occupations at the National Occupational Classification four-digit, three-digit and two-digit levels among immigrants admitted from 2010 to 2020

Data table for Chart 1
Data table for Chart 1
Table summary
This table displays the results of Data table for Chart 1 , calculated using (appearing as column headers).
  Percent
Note: NOC = National Occupational Classification.
Sources: Statistics Canada, Longitudinal Immigration Database and 2021 Census of Population.
Top NOC four-digit occupations  
Registered nurses and registered psychiatric nurses 44.8
Information systems analysts and consultants 33.5
Software engineers and designers 36.6
Top NOC three-digit occupations  
Computer and information systems professionals 66.5
Auditors, accountants and investment professionals 34.6
Professional occupations in nursing 46.2
Top NOC two-digit occupations  
Professional occupations in natural and applied sciences 57.1
Professional occupations in business and finance 31.4
Professional occupations in education services 29.4

Groups more likely to move to lower-skilled occupations

Among recent immigrants who did not work in their intended occupations, 42% moved to a lower-skilled occupation at the NOC four-digit level, 46% at the three-digit level and 49% at the two-digit level. This tendency varied by immigrant sociodemographic characteristics. The variations by the selected covariates in the likelihood of moving to a lower-skilled occupation were broadly similar at the three-digit and four-digit levels after controlling for other individual characteristics in the logistic regression (Table 2).Note 5

Table 2
Logistic regression models showing average partial effects for the likelihood of moving to lower-skilled occupations at the National Occupational Classification four-digit and three-digit levels among recent immigrants who did not work in their intended occupations, by selected immigrant characteristics Table summary
This table displays the results of Logistic regression models showing average partial effects for the likelihood of moving to lower-skilled occupations at the National Occupational Classification four-digit and three-digit levels among recent immigrants who did not work in their intended occupations, by selected immigrant characteristics Moving to lower-skilled occupations at the NOC four-digit level and Moving to lower-skilled occupations at the NOC three-digit level, calculated using predicted difference in probability units of measure (appearing as column headers).
  Moving to lower-skilled occupations at the NOC four-digit level Moving to lower-skilled occupations at the NOC three-digit level
predicted difference in probability
Note *

significantly different from reference category (p < 0.05)

Return to note * referrer

Note **

significantly different from reference category (p < 0.01)

Return to note ** referrer

Note ***

significantly different from reference category (p < 0.001)

Return to note *** referrer

Notes: NOC = National Occupational Classification. Census weights are used. The sample includes immigrants from the Longitudinal Immigration Database who were admitted from 2010 to 2020 and aged 18 to 54 at admission, were linked to the 2021 Census, and have valid information on intended occupation from the admission data and actual occupation from the census.
Sources: Statistics Canada, Longitudinal Immigration Database and 2021 Census of Population.
Age group at admission (reference: 35 to 44)  
18 to 24 -0.067 Table 2  Note *** -0.078 Table 2  Note ***
25 to 34 -0.064 Table 2  Note *** -0.066 Table 2  Note ***
45 to 54 0.092 Table 2  Note *** 0.092 Table 2  Note ***
Gender (reference: men)  
Women 0.032 Table 2  Note *** 0.020 Table 2  Note ***
Educational attainment in 2021 (reference: bachelor's degree)  
High school or lower 0.098 Table 2  Note *** 0.086 Table 2  Note ***
Postsecondary education below bachelor's degree 0.034 Table 2  Note *** 0.022 Table 2  Note ***
Postsecondary education above bachelor's degree -0.049 Table 2  Note *** -0.051 Table 2  Note ***
Official language at admission (reference: English only)  
French only 0.049 Table 2  Note *** 0.053 Table 2  Note ***
English and French 0.022 Table 2  Note *** 0.025 Table 2  Note ***
Neither English nor French 0.037 Table 2  Note *** 0.034 Table 2  Note ***
Immigrant class (reference: Federal Skilled Worker Program)  
Provincial Nominee Program -0.024 Table 2  Note *** -0.033 Table 2  Note ***
Canadian Experience Class -0.019 Table 2  Note ** -0.012
Other economic class -0.028 Table 2  Note *** -0.034 Table 2  Note ***
Family class -0.009 -0.017
Source country (reference: United States)  
India 0.119 Table 2  Note *** 0.141 Table 2  Note ***
Philippines 0.141 Table 2  Note *** 0.126 Table 2  Note ***
China 0.071 Table 2  Note *** 0.080 Table 2  Note ***
Pakistan 0.124 Table 2  Note *** 0.121 Table 2  Note ***
Iran 0.060 Table 2  Note *** 0.058 Table 2  Note ***
France -0.032 Table 2  Note * -0.040 Table 2  Note *
United Kingdom 0.053 Table 2  Note ** 0.036 Table 2  Note *
Syria 0.110 Table 2  Note *** 0.104 Table 2  Note ***
Nigeria 0.097 Table 2  Note *** 0.112 Table 2  Note ***
Other American countries 0.064 Table 2  Note *** 0.067 Table 2  Note ***
Other European countries 0.075 Table 2  Note *** 0.070 Table 2  Note ***
Other African countries 0.047 Table 2  Note ** 0.044 Table 2  Note **
Other Asian countries 0.080 Table 2  Note *** 0.083 Table 2  Note ***
Oceania and others 0.065 Table 2  Note ** 0.053 Table 2  Note *
Previous Canadian work experience (reference: yes)  
No 0.240 Table 2  Note *** 0.235 Table 2  Note ***
Previous Canadian study experience (reference: yes)  
No -0.017 Table 2  Note *** 0.014 Table 2  Note *
Attended school in the previous nine months (reference: yes)  
No -0.041 Table 2  Note *** -0.032 Table 2  Note ***
Presence of children aged 18 or younger (reference: yes)  
No -0.016 Table 2  Note *** -0.017 Table 2  Note ***

Age at admission and gender both played a role. Immigrants who were admitted aged 35 to 44 and 45 to 54 had a much higher likelihood of moving to lower-skilled jobs than younger immigrants, conditional on not working in their intended occupation. For instance, the gap in occupational downward mobility between those who were admitted aged 35 to 44 and those admitted aged 18 to 24 was 7 percentage points at the NOC three-digit level and 8 percentage points at the four-digit level. Immigrant women were slightly more likely than men to move to lower-skilled jobs.

Education and official languages also mattered. Recent immigrants with a higher educational level were less likely to move to lower-skilled jobs when changing occupations. For instance, immigrants with a high school education or less were 10 percentage points more likely to move to a lower-skilled occupation at the NOC four-digit level than immigrants with a bachelor’s degree. By official language knowledge profile, those who knew only French were the most likely to move to lower-skilled jobs. Across top source countries, immigrants from the United States, France and the United Kingdom were the least likely to move to lower-skilled jobs.

There were some moderate differences by immigration class. Immigrants admitted through the Federal Skilled Worker Program tended to have a higher likelihood of moving to a lower-skilled occupation than other economic immigrants when they did not find a job matching their intended occupations.

When changing occupations, recent immigrants without previous Canadian work experience had a higher probability of moving to lower-skilled jobs at either the three-digit or four-digit level, by about 24 percentage points compared with those with such work experience. Immigrants without previous Canadian study experience showed a slightly larger (at the three-digit level) or smaller (at the four-digit level) probability of moving to lower-skilled jobs, compared with those with previous Canadian study experience.

Earnings outcomes associated with occupational match

The impact of occupational match on labour market outcomes was assessed by comparing employment income in 2020 between immigrants who worked in their intended occupations (stayers) and those who did not (movers).Note 6 Table 3 presents median employment income for occupational stayers and movers, disaggregated by sociodemographic characteristics.Note 7

Table 3
Median employment income in 2020 of recent immigrants who worked in their intended occupations and those who moved to different occupations Table summary
This table displays the results of Median employment income in 2020 of recent immigrants who worked in their intended occupations and those who moved to different occupations Immigrants who changed occupations at the NOC two-digit level, Immigrants who stayed in intended occupations at the NOC two-digit level, Difference and Percent difference, calculated using dollars and percent units of measure (appearing as column headers).
  Immigrants who changed occupations at the NOC two-digit level Immigrants who stayed in intended occupations at the NOC two-digit level Difference Percent difference
dollars percent
Notes: NOC = National Occupational Classification. Census weights are used. The sample includes immigrants from the Longitudinal Immigration Database who were admitted from 2010 to 2020 and aged 18 to 54 at admission, were linked to the 2021 Census, and have valid information on intended occupation from the admission data and actual occupation from the census.
Sources: Statistics Canada, Longitudinal Immigration Database and 2021 Census of Population.
All 44,000 65,600 21,600 49.1
Age group at admission  
18 to 24 41,900 52,800 10,900 26.0
25 to 34 46,200 67,400 21,200 45.9
35 to 44 42,300 65,500 23,200 54.8
45 to 54 35,200 55,700 20,500 58.2
Gender  
Men 50,100 72,800 22,700 45.3
Women 36,600 52,500 15,900 43.4
Educational attainment in 2021  
No certificate, diploma or degree 32,900 41,400 8,500 25.8
High school graduation 37,700 47,700 10,000 26.5
Postsecondary education below bachelor's degree 38,700 50,000 11,300 29.2
Bachelor's degree 44,500 67,300 22,800 51.2
Postsecondary education above bachelor's degree 49,600 77,600 28,000 56.5
Official language at admission  
English only 45,000 66,400 21,400 47.6
French only 38,100 54,900 16,800 44.1
English and French 44,100 67,400 23,300 52.8
Neither English nor French 33,500 57,500 24,000 71.6
Immigrant class  
Federal Skilled Worker Program 48,000 71,800 23,800 49.6
Provincial Nominee Program 42,100 57,300 15,200 36.1
Canadian Experience Class 56,300 78,200 21,900 38.9
Other economic class 38,600 59,000 20,400 52.8
Family class 34,500 55,400 20,900 60.6
Top 10 source countries  
India 43,900 71,200 27,300 62.2
Philippines 43,200 50,900 7,700 17.8
China 36,000 62,600 26,600 73.9
Pakistan 39,400 68,600 29,200 74.1
Iran 36,600 69,700 33,100 90.4
United States 68,300 99,100 30,800 45.1
France 57,500 75,500 18,000 31.3
United Kingdom 69,700 87,100 17,400 25.0
Syria 42,800 64,700 21,900 51.2
Nigeria 31,100 39,900 8,800 28.3
Previous Canadian work experience  
Yes 49,700 68,400 18,700 37.6
No 38,700 61,300 22,600 58.4
Previous Canadian study experience  
Yes 49,700 65,800 16,100 32.4
No 42,200 65,500 23,300 55.2

The results showed that occupational stayers had consistently higher median employment incomes than movers. Overall, occupational stayers earned 49% more than movers. These results may be associated with an alignment between immigrants’ skills and labour market demand, although other factors such as industry wage structures and credential recognition may also contribute. Those who did not work in their intended occupations may have done so involuntarily and had to move to occupations with lower pay.

By education, the gap between occupational stayers and movers was larger for immigrants with a bachelor’s degree or above than for immigrants with lower educational levels. This finding suggests that immigrants with a higher level of education may experience greater earnings losses when their skills are not fully utilized, reflecting their higher opportunity cost of occupational downward mobility.

The gaps between occupational stayers and movers were larger for immigrants admitted at older ages, those who did not speak an official language at admission and those without previous Canadian work or study experience. These immigrants may have more difficulties in finding relatively high-paying employment when they could not work in their intended occupations.

Across major source countries, immigrants from the United Kingdom, France and the United States tended to have smaller earnings gaps between occupational stayers and movers, largely because movers from these countries were also able to secure relatively high-paying jobs. For a different reason, Filipino immigrants exhibited the smallest earnings gap between occupational stayers and movers: even among occupational stayers, average earnings were relatively low. This finding likely reflects the fact that a large portion of their intended occupations were in lower-skilled categories.Note 8

Conclusion

The results of this study provide a broad picture of occupational match among immigrants admitted from 2010 to 2020. The findings show that a minority of recent immigrants (about one in five) were working in their intended specific occupation (NOC four-digit level) in 2021, although match rates rose to around one in three at the broader two-digit occupational level. Occupational match varied systematically across sociodemographic groups: it was higher for economic-class immigrants, those with a graduate education, those from more developed source countries and those with pre-admission Canadian work experience. These patterns suggest that selection mechanisms and previous exposure to the Canadian labour market both play important roles in shaping immigrants’ ability to work in their intended jobs.

At the same time, the results point to substantial downward occupational mobility among those who did not match with their intended occupation, with many moving into lower-skilled jobs. Older immigrants, those with weaker official language profiles and those without previous Canadian work experience were especially likely to move to lower-skilled occupations after admission.

These occupational shifts mattered greatly for economic outcomes: across almost every subgroup, immigrants who stayed in their intended occupation earned substantially more than those who moved to a different occupation—nearly 50% more on average. The significantly lower employment income of occupational movers indicates that many experienced downward mobility, taking lower-paid jobs. Larger earnings gaps between occupational stayers and movers among highly educated immigrants underscore the significant economic cost of skill underutilization. Meanwhile, smaller gaps among certain source countries highlight how occupational structures and labour market segmentation both shape the returns to occupational matching.

Taken together, these findings have important social and policy implications. First, they reinforce the value of previous Canadian work experience pathways, which appear to improve occupational alignment and reduce the risk of downward mobility. Second, low occupational match and associated earnings gaps among movers highlight challenges in labour market integration. This is likely attributable to limited opportunities in their intended occupations or difficulty securing employment in their desired fields. Identifying key factors behind these transitions is crucial for developing strategies to support smoother workforce integration. Third, given large variations in match rates across intended occupations, immigration selection strategies targeting specific intended occupations may be less effective if match rates in those occupations are low. Finally, the earnings penalties associated with occupational mismatch indicate that improving occupational match is not only a matter of individual economic success but also essential for maximizing the broader labour market contributions of immigrants.

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