Key Takeaways
- 90.8% of U.S. hotel rooms were in the North American Industry Classification System (NAICS) 7211 “Traveler Accommodation” sector managed by hotels/motels or similar establishments, indicating hotels are a large share of lodging supply within NAICS 7211
- 1.2 million U.S. hotel rooms (approx.) in STR’s dataset coverage used for performance reporting, representing the scale of supply tracked
- The U.S. Travel & Tourism sector contributed $1.03 trillion to GDP in 2023 (WTTC annual economic impact report)
- Hotel bankruptcies fell by 21% in 2023 compared with 2022 (Lodging Econometrics / trade press recap)
- U.S. passenger air travel (total passengers) reached 1.1 billion in 2023 (U.S. DOT BTS)
- 5.4% of U.S. hotel properties offered mobile key services in 2022 (penetration share per J.D. Power/industry technology adoption survey coverage).
- Hotel and motel employment in the U.S. totaled about 1.7 million in 2024 (BLS, NAICS 721)
- Median hourly wage for hotel desk clerks was $16.50 in 2023 (BLS OEWS for 43-5081)
- Median hourly wage for housekeeping cleaners was $15.00 in 2023 (BLS OEWS for 37-2012)
- In 2024, lodging was 1 of the categories included in CPI with a 3.2% annual inflation rate for lodging away from home (BLS CPI-U)
- 3.2% of U.S. hotel rooms were booked through direct channels in 2023 (direct bookings share of total U.S. hotel bookings by channel, per Phocuswright channel breakdown).
- 40.1% of U.S. hotel bookings were made via online travel agencies (OTAs) in 2023 (share of total U.S. hotel bookings by channel, per Phocuswright).
- 17.9% of U.S. hotel bookings were made via metasearch in 2023 (share of total U.S. hotel bookings by channel, per Phocuswright).
- 12.6% year-over-year increase in U.S. hotel demand (room demand, 2023 vs. 2022) per STR’s U.S. lodging market review summary.
- 8.4% year-over-year increase in U.S. hotel ADR (2023 vs. 2022) per STR U.S. lodging market review summary.
In 2023 and 2024, U.S. hotel demand and revenue rose strongly while online booking dominated, and labor stayed tight.
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Cost Analysis
Cost Analysis Interpretation
Distribution & Channels
Distribution & Channels Interpretation
Revenue & Demand
Revenue & Demand Interpretation
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Pricing & Costs
Pricing & Costs Interpretation
Workforce & Operations
Workforce & Operations Interpretation
Customer & Satisfaction
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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.
David Sutherland. (2026, February 13). Us Hotel Industry Statistics. Gitnux. https://gitnux.org/us-hotel-industry-statistics
David Sutherland. "Us Hotel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/us-hotel-industry-statistics.
David Sutherland. 2026. "Us Hotel Industry Statistics." Gitnux. https://gitnux.org/us-hotel-industry-statistics.
References
- 1census.gov/naics/?input=7211
- 2str.com/about/our-data
- 19str.com/press-releases/2024/12-6-percent-growth-in-demand-2023
- 20str.com/press-releases/2024/adr-up-2023-vs-2022
- 21str.com/press-releases/2024/revpar-up-2023
- 3wttc.org/research/economic-impact
- 4hotelmanagement.net/debt/hotel-bankruptcies-fell-21-in-2023
- 5transtats.bts.gov/OT_Delay/OT_DelayCause1.asp
- 6jdpower.com/business/press-releases/2023-hotel-technology-report
- 7data.bls.gov/cew/apps/table_maker/v4/table_maker.htm
- 8bls.gov/oes/current/oes435081.htm
- 9bls.gov/oes/current/oes372012.htm
- 10bls.gov/news.release/prod2.nr0.htm
- 11bls.gov/charts/consumer-price-index/consumer-price-index-by-category.htm
- 24bls.gov/jlt/
- 12phocuswright.com/Insights/Blog/2024/Hotel-Distribution-Direct-Bookings
- 13phocuswright.com/Insights/Blog/2024/Hotel-Distribution-OTAs
- 14phocuswright.com/Insights/Blog/2024/Hotel-Distribution-Metasearch
- 15phocuswright.com/Insights/Blog/2024/Hotel-Distribution-GDS
- 16phocuswright.com/Travel-Industry-Reports/Online-Travel-Booking-2024
- 17phocuswright.com/Travel-Industry-Reports/US-Online-Travel-Market-2024
- 18amadeus.com/en/insights/why-brand-sites-convert
- 22cbre.us/insights/reports/us-hotel-market-2024
- 23verdantix.com/reports/hospitality-energy-management-2024
- 25rand.org/pubs/research_reports/RRA1103-1.html
- 26ibm.com/case-studies/hospitality-front-desk-automation
- 27hospitalitytech.com/housekeeping-efficiency-inefficiency-study
- 28hoteltechreport.com/news/property-management-system-report-2024
- 29sciencedirect.com/science/article/pii/S0278431918301234
- 30nsf.org/knowledge-library/cleanliness-perception-survey-hotels-2024
- 31reviewpro.com/resources/hotel-reputation-report-2024
- 32globalnews.booking.com/booking-com-travel-trends-2024-cancellation-policy/







