Key Takeaways
- Paris, France, was the most visited city with 19.1 million international arrivals in 2023.
- Dubai, UAE, ranked 6th globally with 17.15 million visitors in 2023.
- New York City, USA, saw 12.8 million international tourists in 2023.
- Tourism employed 347 million people globally in 2023, 10% of total employment.
- In 2023, travel and tourism supported 27.4 million jobs in Europe.
- The United States tourism sector employed 9.1 million people in 2023.
- In 2023, global tourism receipts reached $1.4 trillion.
- Tourism receipts grew 30% in real terms in 2023 over 2022.
- Europe generated 52% of global tourism receipts in 2023 at $726 billion.
- International tourism expected to fully recover to 2 billion arrivals by 2025.
- Sustainable tourism practices adopted by 80% of destinations by 2030 goal.
- Overtourism affected 75 major cities in 2023.
- In 2023, international tourist arrivals worldwide reached 1.3 billion, marking a recovery to 88% of pre-pandemic 2019 levels.
- Europe saw 747 million international tourist arrivals in 2023, representing 58% of global totals and surpassing 2019 levels by 1%.
- The Middle East recorded 99 million international arrivals in 2023, exceeding 2019 figures by 22%.
In 2023 tourism rebounded strongly worldwide with 1.3 billion international arrivals and record receipts of $1.4 trillion.
Related reading
Destination Statistics
Destination Statistics Interpretation
More related reading
Tourism Employment
Tourism Employment Interpretation
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Tourism Revenue
Tourism Revenue Interpretation
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Tourism Trends
Tourism Trends Interpretation
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Tourist Arrivals
Tourist Arrivals 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.
Rachel Svensson. (2026, February 13). Global Tourism Statistics. Gitnux. https://gitnux.org/global-tourism-statistics
Rachel Svensson. "Global Tourism Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-tourism-statistics.
Rachel Svensson. 2026. "Global Tourism Statistics." Gitnux. https://gitnux.org/global-tourism-statistics.
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