Release date: February 25, 2026

DOI: https://doi.org/10.25318/362800012026000200005-eng

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

Canada’s immigration system plays an important role in addressing the country’s short- and long-term labour market needs, admitting many immigrants with high levels of education, official language proficiency and work experience. Across provinces and territories, distinct regional population dynamics and economic conditions create varying demands for immigration to address specific workforce gaps, demographic challenges and community development priorities. From 1996 to 2009, all provinces and territories (except for Quebec and Nunavut) signed Provincial Nominee Program (PNP) agreements (Picot et al., 2024). The PNP has two primary aims: (1) to better distribute economic immigrants across the country and (2) to address specific economic needs of the provinces and territories (Immigration, Refugees and Citizenship Canada [IRCC], 2017). More economic immigrants entered through the PNP than any other single program in the late 2010s (Picot et al., 2023a).

The expansion of the PNP has played a primary role in bringing economic immigrants to the Atlantic and Prairie provinces (Picot et al., 2023a). Provincial Nominees used to earn more in the initial years after immigration than immigrants in the Federal Skilled Worker Program (FSWP), but this pattern was reversed in recent years, likely because of changes in the selection criteria for FSWP immigrants (Picot et al., 2023b). In 2015, IRCC introduced the Express Entry (EE) system to manage applications for federal economic immigration streams (IRCC, 2024). Compared with the earlier points system, this approach is more efficient in selecting applicants with a high likelihood of economic success through the Comprehensive Ranking System (CRS). EE principal applicants (PAs) had higher entry earnings than non-EE PAs (IRCC, 2020).

Through the PNP, provinces and territories can select and nominate applicants from the EE candidate pool to partially meet their annual PNP allocation (IRCC, 2017; 2024). Understanding the differences in human capital characteristics and labour market outcomes between EE Provincial Nominees (enhanced PNs) and regular (base) PNs can inform policy discussions regarding potential ways of improving the PNP and the coordination between federal and provincial immigration programs (Business Council of Alberta, 2024; Office of the Auditor General of Ontario, 2024).

Several factors may affect the differences between enhanced PNs and base PNs. The EE system, to which EE PNs are invited to apply, focuses on higher-skilled and higher-educated candidates, while some base PNP streams seek medium and lower-skilled workers to fill chronic labour market needs at different skill levels. This can result in differences in skill and education levels between enhanced EE and base PNs.Note  Furthermore, the additional language and education assessments imbedded in the CRS may improve the level and quality of human capital for enhanced PNs relative to base PNs. These screens are not necessarily required for base PNs. However, under the CRS, EE applicants with a provincial nomination are generally guaranteed admission (IRCC, 2017; 2024). Consequently, EE candidates with lower CRS scores or lower levels of human capital are more likely to be admitted through the PNP than through federal programs (Picot et al., 2023b). Whether going through the EE pool makes a difference in the characteristics and labour market outcomes of PNs remains to be seen.

The objective of this study is to examine whether enhanced PNs have better labour market outcomes than base PNs. This study uses the Longitudinal Immigration Database, which combines the admission records and annual tax information (1982 to 2023) of immigrants who filed one or more tax returns. The analysis focuses on PNP PAs and their spouses and dependants admitted from 2016 to 2024.

The share of Provincial Nominee Program principal applicants screened through the Express Entry system has increased

Enhanced PNP PAs accounted for 21% of all PNP PAs in 2016, when a sizable number of immigrants were admitted under the newly implemented EE system (Chart 1). Nova Scotia, Ontario and British Columbia had the largest shares, at about 35% or higher. Manitoba, Newfoundland and Labrador, and Alberta had the lowest shares, at about 1% or lower.

From 2016 to 2024, the share of enhanced PNP PAs increased by about 17 percentage points nationwide. Growth was observed in most provinces and territories, with the largest increases in Alberta (35 percentage points) and British Columbia (22 percentage points). three provinces—Nova Scotia, Prince Edward Island and Saskatchewan—witnessed decreases over this period.

Ontario had the highest share (57%) of enhanced PNs among its PNP PAs in 2024, followed by British Columbia (56%) and New Brunswick (41%). Saskatchewan (11%) and Newfoundland and Labrador (8%) had the lowest share of PNP PAs screened through the EE system.

Chart 1 : Percentage of provincial nominee principal applicants selected through Express Entry system

Data table for Chart 1
Chart 1
Percentage of provincial nominee principal applicants selected through Express Entry system Table summary
This table displays the results of Percentage of provincial nominee principal applicants selected through Express Entry system , calculated using (appearing as column headers).
  2024 2016
NL 8.3 0.5
PE 18.2 29.1
NS 22.8 56.7
NB 41.0 18.0
ON 57.4 49.1
MB 27.5 1.1
SK 11.1 16.3
AB 34.8 0.0
BC 56.4 34.8
YT 8.5 8.2
All of Canada 37.6 20.5
Sources: Statistics Canada, Longitudinal Immigration Database.

Enhanced Provincial Nominee Program principal applicants had higher levels of education and earnings than base Provincial Nominee Program streams

While enhanced and base PNP PAs had similar demographic profiles in terms of sex, age at admission and knowledge of official languages, there was greater disparity in educational attainment (Table 1, left panel). Enhanced PNs were more likely to have a university degree (78%) than base PNs (65%).

There was also a disparity in intended occupations. Nearly all the intended occupations of enhanced PNP PAs were at the managerial, professional, and skilled and technical levels, compared with about two-thirds of base PNP PAs. These differences in education and intended occupation would tend to result in higher earnings among enhanced PNs, compared with base PNs. However, enhanced PNP PAs were 20 percentage points less likely to have Canadian work or study experience than base PNP PAs. This would tend to reduce initial earnings among enhanced PNs, compared with base PNs.

There was little difference in employment incidenceNote  between enhanced and base PNP PAs at one year and three years after admission.

Based on annual earnings, enhanced PNP PAs outearned base PNP PAs by about 19% (2016 to 2019 arrivals) and 34% (2020 to 2022 arrivals) one year after admission, and the gap was at 29% three years after admission (2016 to 2019 arrivals).Note  When differences in sociodemographic characteristics were taken into account, these gaps were about 7% (2016 to 2019 arrivals) and 16% (2020 to 2022 arrivals) one year after admission and 12% three years after admission (2016 to 2019 arrivals), and they were statistically significant.Note 

Spouses and dependants of enhanced Provincial Nominee Program principal applicants have greater employment earnings than spouses and dependants of base Provincial Nominee Program principal applicants

There were only modest differences between the demographic profiles of spouses and dependants of enhanced PNP PAs and those of spouses and dependants of base PNP PAs (Table 1, right panel).Note  Of note, spouses and dependants of enhanced PNP PAs were about 5 percentage points less likely to have no official language proficiency than the non-EE group. Spouses and dependants of enhanced PNP PAs were also about 12 percentage points less likely to have previous Canadian work or study experience than their base counterparts.

Spouses and dependants of enhanced PNP PAs had lower employment incidence than their base PNP counterparts by about 5 percentage points one year after admission and 1 percentage point three years after admission (2016 to 2019 arrivals). However, the enhanced group among the 2020-to-2022 arrivals had employment incidence that was 1 percentage point higher one year after admission, compared with base PNP spouses and dependants.

Among those who were employed, the enhanced group had higher annual earnings than the base group by about 21% (2016 to 2019 arrivals) to 31% (2020 to 2022 arrivals) one year after admission and about 33% three years after admission (2016 to 2019 arrivals). When differences in the sociodemographic characteristics between the two groups were considered, the earnings gaps were about 13% (2016 to 2019 arrivals) to 24% (2020 to 2022 arrivals) one year after admission and 21% three years after admission (2016 to 2019 arrivals).

In summary, the results from this article show that enhanced screening through the EE selection matters for the labour market outcomes of PNP PAs. One year and three years after arrival, PNP PAs who were screened through EE had higher average employment earnings than those admitted through the base streams. This result held, although somewhat reduced, after accounting for differences in sociodemographic characteristics. Furthermore, spouses and dependants of enhanced PNP PAs had higher employment earnings than spouses and dependants of base PNP PAs. The enhanced PNP category is designed to attract higher-skilled individuals, while base PNP streams are used to address labour market shortages across varying skill levels.

Table 1
Characteristics of Provincial Nominee Program principal applicants and spouses or dependants admitted from 2016 to 2024 Table summary
This table displays the results of Characteristics of Provincial Nominee Program principal applicants and spouses or dependants admitted from 2016 to 2024 Principal applicants, Spouses or dependants, Enhanced provincial nominees, Base provincial nominees, Total, Enhanced provincial nominees, Base provincial nominees and Total, calculated using percent and 2023 constant dollars units of measure (appearing as column headers).
  Principal applicants Spouses or dependants
Enhanced provincial nominees Base provincial nominees Total Enhanced provincial nominees Base provincial nominees Total
percent
Note ...

not applicable

Notes: Spouses and dependants are restricted to those aged 20 and older. Education excludes 2024 arrivals. Adjusted results for principal applicants are based on ordinary least squares regression models controlling for sex, age at landing, knowledge of official languages, education, intended occupation, Canadian work or study experience, source region and destination province. Adjusted results for spouses and dependants are based on ordinary least squares regression models controlling for sex, age at landing, knowledge of official languages, Canadian work or study experience, source region and destination province.
Source: Statistics Canada, Longitudinal Immigration Database.
Sex  
Male 62.8 63.5 63.3 39.3 34.8 36.3
Female 37.3 36.5 36.7 60.8 65.2 63.7
Age at landing  
29 years or younger 40.3 42.5 41.7 22.0 26.0 24.6
30 to 39 years 46.2 34.4 38.4 56.1 41.9 46.8
40 years or older 13.5 23.1 19.9 21.8 32.1 28.6
Official languages  
Unable to speak English or French 0.0 1.0 0.6 1.8 6.3 4.8
Other mother tongue, able to speak English or French 90.1 92.7 91.9 88.9 87.6 88.1
Mother tongue English or French 9.9 6.3 7.5 9.3 6.1 7.2
Education  
Secondary or less 5.4 8.6 7.5 ... not applicable ... not applicable ... not applicable
Some postsecondary 16.4 24.3 21.6 ... not applicable ... not applicable ... not applicable
Bachelor's degree 46.3 41.7 43.3 ... not applicable ... not applicable ... not applicable
Graduate degree 31.8 23.0 26.0 ... not applicable ... not applicable ... not applicable
Education missing 0.1 2.4 1.6 ... not applicable ... not applicable ... not applicable
Intended occupation  
Managerial 13.6 7.9 9.8 ... not applicable ... not applicable ... not applicable
Professional 38.7 11.9 21.0 ... not applicable ... not applicable ... not applicable
Skilled and technical 46.1 44.3 44.9 ... not applicable ... not applicable ... not applicable
Intermediate and clerical 0.6 17.9 12.0 ... not applicable ... not applicable ... not applicable
Elemental and labourers 0.0 7.8 5.2 ... not applicable ... not applicable ... not applicable
Others 1.0 10.2 7.0 ... not applicable ... not applicable ... not applicable
Canadian work or study experience  
No prior Canadian work or study experience 34.2 14.4 21.1 54.0 42.2 46.2
Work or study permits before immigration 65.8 85.6 78.9 46.0 57.8 53.8
Source region  
United States 0.9 0.5 0.6 0.9 0.6 0.7
Caribbean and Central and South America 5.4 5.2 5.3 7.4 7.8 7.6
Europe 6.8 8.5 7.9 7.2 10.9 9.6
Africa 13.8 6.2 8.8 18.2 7.3 11.0
Southern Asia 49.7 38.4 42.2 45.1 28.5 34.2
Southeast Asia 5.0 16.1 12.3 5.6 20.3 15.3
Eastern Asia 12.6 21.2 18.3 9.4 19.8 16.2
Western Asia 4.6 3.1 3.6 5.3 4.3 4.6
Other regions 1.4 0.8 1.0 0.9 0.6 0.7
Employment incidence, observed  
One year after immigration, 2016 to 2019 arrivals 92.8 92.4 92.5 72.4 76.9 75.8
One year after immigration, 2020 to 2022 arrivals 94.0 92.9 93.4 80.2 78.9 79.4
Three years after immigration, 2016 to 2019 arrivals 93.2 91.3 91.8 77.9 79.0 78.8
Employment incidence, adjusted  
One year after immigration, 2016 to 2019 arrivals 92.7 92.5 92.5 74.7 76.2 75.8
One year after immigration, 2020 to 2022 arrivals 93.8 93.1 93.4 79.6 79.3 79.4
Three years after immigration, 2016 to 2019 arrivals 92.4 91.5 91.8 79.2 78.6 78.8
Average annual earnings among the employed, observed 2023 constant dollars
One year after immigration, 2016 to 2019 arrivals 62,100 52,300 54,800 37,400 30,900 32,400
One year after immigration, 2016 to 2019 arrivals 62,100 52,300 54,800 37,400 30,900 32,400
One year after immigration, 2020 to 2022 arrivals 71,300 53,400 59,200 46,000 35,000 38,500
Three years after immigration, 2016 to 2019 arrivals 76,700 59,400 64,000 47,800 36,000 39,000
Average annual earnings among the employed, adjusted  
One year after immigration, 2016 to 2019 arrivals 57,500 53,900 54,800 35,500 31,500 32,400
One year after immigration, 2020 to 2022 arrivals 65,200 56,300 59,200 44,400 35,700 38,500
Three years after immigration, 2016 to 2019 arrivals 69,500 62,000 64,000 44,700 37,000 38,900

Acknowledgments

The authors would like to thank Sarah Evershed, Chantal Goyette, Maciej Karpinski and Zackary Van-Daele for their advice and comments on an earlier version of this article.

Authors

Max Stick and Feng Hou are with the Economic and Social Analysis and Modelling Division, Analytical Studies and Modelling Branch, at Statistics Canada. Garnett Picot is with the Research and Knowledge Mobilization Division at Immigration, Refugees and Citizenship Canada.

References

Business Council of Alberta. (2024). Watered Down: The Case for Strengthening, Rather than Diluting, the Provinces’ Role in Immigration.

IRCC (Immigration, Refugees and Citizenship Canada). (2017). Evaluation of the Provincial Nominee Program.

IRCC (Immigration, Refugees and Citizenship Canada). (2020). Evaluation of Express Entry: Early impacts on economic outcomes and system management. Evaluation Division, Reference number: E3-2019.

IRCC (Immigration, Refugees and Citizenship Canada). (2024). Express Entry Year-End Report 2023.

Office of the Auditor General of Ontario. (2024). Ontario Immigrant Nominee Program (OINP).

Picot, G., Hou, F., & Crossman, E. (2023a). The Provincial Nominee Program: Its expansion in Canada.Economic and Social Reports, 3(7), 1-14.

Picot, G., Crossman, E., & Hou, F. (2023b). Provincial Nominee Program: Recent trends and provincial differences in earnings outcomes. Economic and Social Reports, 3(12), 1-21.

Picot, G., Hou, F., & Crossman, E. (2024). The Provincial Nominee Program: Provincial differences. Economic and Social Reports, 4(3), 1-23.

Picot, G., Stick, M., & Hou, F. (2025). The occupational outcomes of provincial nominees. Economic and Social Reports, 5(8), 1-6.

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