Key Takeaways
- In 2019, China led with 1.7 billion cinema admissions
- India recorded 1.5 billion tickets sold in 2019 pre-COVID
- Japan's 2023 attendance hit 120 million, up 50% from 2021
- In 2019, UK cinema admissions totaled 176 million
- France recorded 209 million cinema visits in 2019, Europe's highest
- Germany saw 114 million admissions in 2022, recovering 80% post-COVID
- In 2019, global cinema admissions totaled approximately 7.2 billion tickets sold, marking a peak before the pandemic
- Worldwide box office revenue correlated with 10.4 billion attendance in 2004
- Global cinema attendance grew by 4.2% from 2017 to 2018, reaching over 7 billion visits
- In 2019, U.S. cinema attendance reached 1.34 billion tickets, highest since 2002
- Canada saw 68 million cinema visits in 2019, down 5% from 2018 peak
- U.S. per capita attendance was 4.0 visits in 2019
- Globally, 18-24 year-olds comprised 31% of cinema audiences in 2019 surveys
- Women represented 50.1% of U.S. cinema-goers in 2023 data, slight majority
- Post-COVID, family groups attendance rose 35% globally by 2024 Q1
Cinema attendance peaked in 2019, then rebounded strongly by 2023 as premium formats and mobile ticketing drove growth.
Related reading
Asian Statistics
Asian Statistics Interpretation
More related reading
European Statistics
European Statistics Interpretation
More related reading
Global Statistics
Global Statistics Interpretation
More related reading
North American Statistics
North American Statistics Interpretation
More related reading
Trends, Demographics, and Projections
Trends, Demographics, and Projections 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.
Karl Becker. (2026, February 13). Cinema Attendance Statistics. Gitnux. https://gitnux.org/cinema-attendance-statistics
Karl Becker. "Cinema Attendance Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cinema-attendance-statistics.
Karl Becker. 2026. "Cinema Attendance Statistics." Gitnux. https://gitnux.org/cinema-attendance-statistics.
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