Key Takeaways
- Canada had 8,452 hotels and motels in 2023, with a total of 1,247,890 rooms available
- Hotel occupancy rate nationwide averaged 65.4% in 2023, recovering to 92% of pre-pandemic levels
- Average Daily Rate (ADR) for Canadian hotels reached CAD 178.52 in 2023, a 9.8% increase from 2022
- In 2023, the Canadian hospitality industry contributed $105.6 billion to the national GDP, representing 5.2% of total GDP
- The hospitality sector's direct GDP contribution grew by 12.4% year-over-year in 2023 from $94.1 billion in 2022
- Total revenue in Canada's accommodation and food services industry reached $78.4 billion in 2023, up 14.7% from 2022
- In 2022, hospitality supported 1.8 million jobs, representing 9.4% of total employment in Canada
- The sector employed 1,285,000 people in accommodation and food services as of December 2023, up 4.2% from the previous year
- Average hourly wage in hospitality was $21.45 in 2023, 15% below the national average of $25.28
- Full-service restaurants numbered 28,450 in Canada in 2023, generating $45.2 billion in sales
- Limited-service restaurants saw 42,310 establishments in 2023, with total sales of $38.7 billion, up 11.3% from 2022
- Average check per guest in Canadian restaurants was CAD 25.80 in 2023, reflecting a 7.2% inflation adjustment
- International tourist arrivals to Canada reached 19.8 million in 2023, 85% of 2019 levels
- Domestic tourism trips totaled 368 million in 2023, generating $92 billion in spending
- U.S. visitors accounted for 12.4 million overnight trips to Canada in 2023, up 22% from 2022
In 2023, Canada’s hospitality rebounded with 65.4% occupancy and CAD 178.52 ADR.
Related reading
Accommodation Sector
Accommodation Sector Interpretation
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Economic Impact
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Employment Statistics
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Foodservice Sector
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Tourism Trends
Tourism Trends Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Canada Hospitality Industry Statistics. Gitnux. https://gitnux.org/canada-hospitality-industry-statistics
David Sutherland. "Canada Hospitality Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/canada-hospitality-industry-statistics.
David Sutherland. 2026. "Canada Hospitality Industry Statistics." Gitnux. https://gitnux.org/canada-hospitality-industry-statistics.
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