Key Takeaways
- 117.1 million total tourism trips (domestic + outbound) in 2019, before pandemic disruptions
- France’s number of hotel rooms was about 1.2 million in 2019
- 4.0% of France’s employment accounted for by accommodation and food services, 2022
- 7.6 million total jobs supported by travel & tourism in France in 2019
- France accounted for about €66.0 billion in international tourism receipts in 2022 (World Bank dataset)
- France attracted 12.0% of EU international tourist arrivals in 2023 (share within Europe)
- France’s inbound tourism receipts were about 6.4% of EU receipts in 2022 (share estimate from Eurostat tourism receipts by country)
- Over 70% of hotel bookings in France are made through online travel agencies and online channels (industry survey-based share, 2024)
- Average length of stay for international tourists in France was 3.6 nights in 2019
- €13.8 billion total consumer spending on travel in France in 2022
- 44% of French travelers plan trips using online reviews (consumer travel planning behavior), 2024 survey
- France’s railway network carried 1.07 billion passenger trips in 2023 (SNCF and network-wide passenger volume context)
- Paris Orly Airport handled 31.0 million passengers in 2022
- France’s road transport sector accounted for 9.2% of national transport activity (passenger-km) in 2023—mode mix for passenger travel
- 3.5% increase in French hotel revenue per available room (RevPAR) in 2023 vs 2022 (industry measure)
France recorded strong travel momentum in 2022 and 2023, with major tourism receipts, hotel growth, and high online booking demand.
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Tourist Arrivals
Tourist Arrivals Interpretation
Capacity & Lodging
Capacity & Lodging Interpretation
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Employment & Output
Employment & Output Interpretation
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Digital Booking & Payments
Digital Booking & Payments Interpretation
Demand & Traveler Behavior
Demand & Traveler Behavior Interpretation
Transport & Mobility
Transport & Mobility Interpretation
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Industry Trends
Industry Trends Interpretation
Demand Volumes
Demand Volumes Interpretation
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Accommodation & Lodging
Accommodation & Lodging Interpretation
Online & Trends
Online & Trends 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.
Min-ji Park. (2026, February 13). France Travel Industry Statistics. Gitnux. https://gitnux.org/france-travel-industry-statistics
Min-ji Park. "France Travel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/france-travel-industry-statistics.
Min-ji Park. 2026. "France Travel Industry Statistics." Gitnux. https://gitnux.org/france-travel-industry-statistics.
References
- 1unece.org/DAM/tourism/UNWTO%20Barometer/UNECE_Statistics_Tourism_2019.pdf
- 18unece.org/statistics/annual-tourism-statistics
- 2oecd.org/cfe/tourism/tourism-statistics.htm
- 3stats.oecd.org/index.aspx?queryid=30102
- 4wttc.org/research/economic-impact
- 5data.worldbank.org/indicator/ST.INT.RCPT.CD
- 6ec.europa.eu/eurostat/statistics-explained/index.php?title=Tourism_statistics
- 7ec.europa.eu/eurostat/databrowser/view/tipsin80/default/table?lang=en
- 10ec.europa.eu/eurostat/databrowser/view/tec00122/default/table?lang=en
- 17ec.europa.eu/eurostat/databrowser/view/DS-016030/default/table?lang=en
- 8phocuswright.com/Reports/2024/Europe-Hotel-Distribution-Report
- 19phocuswright.com/industry-trends
- 9oecd-ilibrary.org/sites/0a6a3d7b-en/index.html?itemId=/content/publication/0a6a3d7b-en
- 12oecd-ilibrary.org/industry-and-services/tourism-statistics-2024_0f1a2b7a-en
- 11statista.com/topics/1191/online-travel-agencies/
- 13sncf.com/en/group/our-figures
- 14parisaeroport.fr/en/group/figures/traffic-figures
- 15itf-oecd.org/sites/default/files/docs/itf-transport-outlook-2025.pdf
- 16insee.fr/en/statistiques/serie/001760000
- 20parisinfo.com/eng/visitors/practical-information/hotels
- 21atout-france.fr/en
- 22hospitalitynet.org/opinion/4103116.html
- 24hospitalitynet.org/news/4103214.html
- 23datareportal.com/reports/digital-2024-france






