Key Takeaways
- US leisure venues like parks saw 20% foot traffic increase in 2023
- Central Park NYC averaged 42,000 daily visitors in 2023
- UK cinemas footfall 170 million in 2023
- US office foot traffic reached 92% of pre-COVID levels in Q4 2023
- Manhattan office districts averaged 1.2 million daily commuters 2023
- London City foot traffic up 8% YoY in 2023
- US fast food restaurant foot traffic increased 6% in 2023
- NYC restaurants saw 22% footfall surge during summer 2023
- UK pub footfall averaged 1.2 million weekly in 2023
- In 2023, US retail foot traffic grew by 12% year-over-year
- New York City retail districts saw a 18% increase in foot traffic during holiday season 2022
- Mall foot traffic in the US averaged 25 visits per 1,000 population weekly in Q4 2023
- NYC subway stations averaged 5.5 million daily entries 2023
- London Underground 3.5 million daily passengers 2023 average
- Paris Metro 4 million daily riders 2023
From parks to malls and transit, foot traffic rebounded strongly in 2023 across major cities worldwide.
Related reading
01 · Category
Leisure and Entertainment20 stats
Leisure and Entertainment Interpretation
02 · Category
Office and Workplace20 stats
Office and Workplace Interpretation
03 · Category
Restaurant and Dining24 stats
Restaurant and Dining Interpretation
More related reading
04 · Category
Retail Foot Traffic30 stats
Retail Foot Traffic Interpretation
05 · Category
Transit and Public Spaces22 stats
Transit and Public Spaces Interpretation
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.
Daniel Varga. (2026, February 13). Foot Traffic Statistics. Gitnux. https://gitnux.org/foot-traffic-statistics
Daniel Varga. "Foot Traffic Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/foot-traffic-statistics.
Daniel Varga. 2026. "Foot Traffic Statistics." Gitnux. https://gitnux.org/foot-traffic-statistics.
Sources & references
94 datasets cited across this report · attribution is report-level

