Evidence status: This is an independent data interpretation exercise using public statistics. It is not commissioned work, an operational audit, or a claim to have identified airport-level causes.

01 / The question

If the headline says screening traffic increased, what does that actually tell an airport strategist? Aggregate growth can conceal materially different patterns across domestic, U.S.-bound, and overseas travel.

02 / The evidence

Statistics Canada reported 5.2 million screened passengers at Canada's eight largest airports in September 2026, 4.5% more than September 2025 . The underlying sector series shows differences in the direction and scale of change.

SEPTEMBER SCREENED PASSENGERS BY SECTOR
Domestic United States Other international

Sector September 2024 September 2025 September 2026
Domestic 2,229,853 2,457,055 2,589,878
Transborder (US) 1,308,138 1,171,129 1,228,337
International (ex-US) 1,284,822 1,373,277 1,410,116

SOURCE: STATISTICS CANADA — SCREENED PASSENGERS BY SECTOR, SEPTEMBER 2024–2026 ↗

03 / What the pattern suggests

The domestic series grew year over year in 2026. Transborder screening partially rebounded from 2025 but remained below the 2024 level. Travel outside the United States also increased. These trends may justify separate demand scenarios rather than treating all passenger flows as interchangeable.

That is a planning hypothesis , not an operational recommendation. Different passenger segments could involve different resource and infrastructure implications, but these screening counts alone cannot establish what those implications are.

04 / What the data cannot establish

Screened-passenger counts are not the same as total airport throughput or airport passenger counts. They omit some connecting passengers who did not pass through screening again. Nor do they directly tell us about queueing, processing productivity, staffing, capacity constraints, commercial revenue, or the causes behind changing passenger preferences.

05 / What to investigate next

A decision-ready assessment would require airport-level time-of-day patterns, checkpoint configuration, service standards, passenger mix, and interviews with operational stakeholders. It would also separate demand growth from changes in how demand is distributed throughout the day.

Interpretation rule: Public statistics can establish a pattern. They cannot by themselves prove the operational explanation or justify a particular investment.

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PRIMARY RELEASE: STATISTICS CANADA, OCTOBER 30, 2026 ↗