Key Takeaways
- In 2023, hotels in the United States generated about $193.5 billion in room revenue (U.S. hotels).
- In 2023, consumer spending on accommodation services in the U.S. was $225.0 billion.
- In 2023, U.S. lodging output (accommodation) measured in real terms increased compared with the prior year (index series).
- In 2023, hotels in the United States had about 742 million room nights sold.
- In 2023, the United States hotel industry had an occupancy rate of 65.1%.
- In 2023, U.S. hotels reported an average length of stay of 2.3 nights.
- In 2023, the average daily rate (ADR) for hotels in the United States was $154.44.
- In 2023, hotels in the United States recorded revenue per available room (RevPAR) of $100.41.
- In 2023, global hotel ADR was €140 (approx; reported as global average ADR).
- In 2023, the United States had 91,000 hotel properties.
- In 2023, the United States had about 4.0 million hotel rooms.
- In 2023, the global hotel pipeline included 1,029,000 additional rooms under construction.
- In 2023, U.S. hotels employed about 1.7 million people.
- In 2023, hotel employment in the U.S. was about 1.9 million.
- In 2023, the U.S. hotel industry’s workforce was about 2.0 million jobs when including food and beverage services in accommodation.
In 2023, U.S. hotels generated $193.5 billion in room revenue as global travel kept expanding.
Related reading
Financial Performance
Financial Performance Interpretation
Demand & Occupancy
Demand & Occupancy Interpretation
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Pricing & RevPAR
Pricing & RevPAR Interpretation
Industry Structure
Industry Structure Interpretation
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Employment & Labor
Employment & Labor 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.
Emilia Santos. (2026, February 13). Hotel Hospitality Industry Statistics. Gitnux. https://gitnux.org/hotel-hospitality-industry-statistics
Emilia Santos. "Hotel Hospitality Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hotel-hospitality-industry-statistics.
Emilia Santos. 2026. "Hotel Hospitality Industry Statistics." Gitnux. https://gitnux.org/hotel-hospitality-industry-statistics.
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