Study permit holders
330
2025
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Professional Analytical Report
Institut national de la recherche scientifique · 2025
Prepared September 24, 2026 9:13 AM
Report parameters
Year
2025
Institution
Institut national de la recherche scientifique
Province or territory
Quebec
Institution type
University
Analysis
Institution
Executive summary
Institution summary
Rank among comparable institutions
#15
Quebec · University
Share of comparable total
1.1%
Institut national de la recherche scientifique
Historical peak
330
2025
This report summarizes published study permit-holder data for Institut national de la recherche scientifique in 2025, including historical context, peer rankings, suppression information, and annual trends.
Trend analysis
Annual study permit trend for Institut national de la recherche scientifique
Annual published study permit-holder totals for Institut national de la recherche scientifique.
Historical context
Historical performance
Peak year
2025
330 permit holders
Historical average
256
Complete years
Selected year
330
2025
Vs. historical average
+ 29.2%
Above average
Key insights
What the data shows
- 1 Compared with historical average Institut national de la recherche scientifique's 2025 published total is 29.2% above its historical average for complete years.
Study level comparison
Top institutions
| Rank | Institution | Study permit holders | Share | Suppressed records |
|---|---|---|---|---|
| 1 | McGill University | 4,710 | 15.4% | 0 |
| 2 | Université de Montréal | 4,505 | 14.7% | 0 |
| 3 | Concordia University | 3,655 | 11.9% | 0 |
| 4 | Université Laval | 3,370 | 11.0% | 0 |
| 5 | Université du Québec à Montréal | 3,320 | 10.8% | 0 |
| 6 | École de technologie supérieure | 1,675 | 5.5% | 0 |
| 7 | Université de Sherbrooke | 1,530 | 5.0% | 0 |
| 8 | École Polytechnique de Montréal | 1,360 | 4.4% | 0 |
| 9 | Université du Québec à Chicoutimi | 1,335 | 4.4% | 0 |
| 10 | École des Hautes Études Commerciales de Montréal HEC Montréal | 1,250 | 4.1% | 0 |
Historical trend
Annual study permit trend for Institut national de la recherche scientifique
| Year | Study permit holders | YoY change | Suppressed records | Coverage |
|---|---|---|---|---|
| 2015 | 140 | — | 3 | Complete year |
| 2016 | 205 | +46.4% | 0 | Complete year |
| 2017 | 215 | +4.9% | 0 | Complete year |
| 2018 | 200 | — | 0 | Year to date |
| 2019 | 240 | — | 0 | Complete year |
| 2020 | 225 | -6.3% | 0 | Complete year |
| 2021 | 325 | +44.4% | 0 | Complete year |
| 2022 | 280 | -13.8% | 0 | Complete year |
| 2023 | 320 | +14.3% | 0 | Complete year |
| 2024 | 275 | -14.1% | 0 | Complete year |
| 2025 | 330 | +20.0% | 0 | Complete year |
Dataset information
About this report
Source, selection, coverage, and generation details for this analytical report.
- Dataset
- Study permit holders by designated learning institution and year
- Publisher
- Immigration, Refugees and Citizenship Canada
- Year
- 2025
- Institution
- Institut national de la recherche scientifique
- Province or territory
- Quebec
- Institution type
- University
- Analysis
- Institution
- Records included
- 0
- Report generated
- September 24, 2026, 9:13 a.m.
Methodology
How this report was prepared
This report uses published Immigration, Refugees and Citizenship Canada study permit-holder data by designated learning institution and the year in which study permits became effective.
Historical totals, peer rankings, shares, annual changes, suppression counts, and analytical findings are derived from the same normalized records used by the interactive Study Permit Explorer.
Important note
Published totals may exclude suppressed values. Institution names are preserved from the official IRCC source and may identify campuses or locations separately.
About Data Explorer
Public data, made easier to explore
Data Explorer is a collection of interactive tools that transform official public datasets into searchable charts, summaries, analytical reports, and downloadable documents.
The information presented in this report is derived from published source data. Charts, calculated values, and analytical highlights are generated automatically from normalized records while preserving the meaning of the original dataset.
End of report