Key Takeaways
- Germany had 2.1 million hotel beds available for tourists in 2023.
- Hotel occupancy rate averaged 64.5% nationwide in 2023.
- Berlin hotels achieved 72% occupancy in 2023.
- Bavaria led with 450,000 hotel rooms in 2023.
- Berlin's accommodation capacity: 92,000 rooms for 2023 tourists.
- Rhine-Main area (Frankfurt) had 8.5 million overnight stays.
- Sustainable tourism share in Bavaria reached 45% of visitors in 2023.
- 68% of international tourists used public transport in 2023.
- Carbon footprint of tourism decreased 12% since 2019 levels in 2023.
- In 2023, Germany generated €105 billion in tourism revenue, a 12% increase from 2022.
- International tourists spent €42.3 billion in Germany in 2023.
- Average daily spend per international tourist was €178 in 2023.
- In 2023, Germany recorded 41.9 million international tourist arrivals, marking a 15% increase from 2022.
- Berlin welcomed 13.5 million overnight stays from international visitors in 2023.
- Munich saw 6.2 million foreign tourists in 2023, up 12% year-over-year.
Germany’s tourism surged in 2023 with 486 million hotel nights, strong spending, and higher occupancy nationwide.
Related reading
Accommodation Statistics
Accommodation Statistics Interpretation
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Regional Tourism
Regional Tourism Interpretation
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Sustainability and Trends
Sustainability and Trends Interpretation
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Tourist Expenditure
Tourist Expenditure 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.
Lukas Bauer. (2026, February 13). Germany Tourism Statistics. Gitnux. https://gitnux.org/germany-tourism-statistics
Lukas Bauer. "Germany Tourism Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/germany-tourism-statistics.
Lukas Bauer. 2026. "Germany Tourism Statistics." Gitnux. https://gitnux.org/germany-tourism-statistics.
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