Key Takeaways
- Travel and tourism contributed $2.3 trillion to U.S. GDP in 2023, or 2.9% of total GDP.
- Tourism supported 9.8 million American jobs in 2023.
- Travel exports from tourism reached $235 billion in 2023.
- Travel and tourism created 1.2 million new jobs in 2023.
- Leisure and hospitality sector employed 16.9 million in 2023.
- Hotels and accommodations supported 2.8 million jobs in 2023.
- International visitors spent an average of $4,000 per trip in the U.S. in 2023.
- Total U.S. travel spending reached $1.2 trillion in 2023.
- Domestic travelers spent $861 billion on trips in 2023.
- U.S. travel spending is projected to reach $1.6 trillion by 2027.
- International arrivals expected to hit 90 million by 2028.
- Sustainable tourism practices adopted by 65% of U.S. destinations by 2024.
- In 2023, the United States welcomed 66.5 million international visitors, marking a 26% increase from 2022.
- Domestic leisure travel trips by U.S. residents reached 2.4 billion in 2023, up 5% from the previous year.
- New York City saw 62.1 million tourists in 2023, including 13.5 million international visitors.
In 2023, tourism fueled a $2.3 trillion U.S. economy, supporting 9.8 million jobs.
Related reading
Economic Contributions
Economic Contributions Interpretation
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Employment Impact
Employment Impact Interpretation
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Spending Patterns
Spending Patterns Interpretation
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Travel Trends
Travel Trends Interpretation
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Visitor Arrivals
Visitor 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.
Ryan Townsend. (2026, February 13). U.S. Tourism Statistics. Gitnux. https://gitnux.org/u-s-tourism-statistics
Ryan Townsend. "U.S. Tourism Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/u-s-tourism-statistics.
Ryan Townsend. 2026. "U.S. Tourism Statistics." Gitnux. https://gitnux.org/u-s-tourism-statistics.
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