Key Takeaways
- China's domestic tourist trips reached 6.57 billion in 2023, up 140.2% YoY
- Domestic tourism revenue in 2023 hit 5.8 trillion yuan, up 201.9% YoY
- During 2024 Spring Festival, domestic trips totaled 699 million
- In 2023, China received 35.5 million international inbound tourists, marking a 193.8% increase year-on-year
- Foreign visitors to China numbered 28.82 million in the first three quarters of 2023
- In 2019, pre-pandemic, China hosted 145.3 million inbound foreign tourists
- Great Wall annual visitors: 10 million in 2023
- Forbidden City daily average visitors: 80,000 in peak 2023
- Zhangjiajie National Park tourists 2023: 70 million
- China's tourism revenue reached 6.7 trillion yuan in 2023, up 197.3% YoY
- Inbound tourism revenue in 2023: 134.52 billion yuan, 194.6% growth
- Domestic tourism revenue 2023: 5.8 trillion yuan
- China has over 5,000 travel agencies as of 2023
- High-speed rail network length: 42,000 km by end 2023, aiding tourism
- Civil aviation airports: 254 in 2023
China’s domestic tourism surged to 6.57 billion trips in 2023 as spending hit 5.8 trillion yuan.
Domestic Tourism Statistics
Domestic Tourism Statistics Interpretation
Inbound Tourism Statistics
Inbound Tourism Statistics Interpretation
Popular Destinations and Attractions
Popular Destinations and Attractions Interpretation
Tourism Revenue and Economic Impact
Tourism Revenue and Economic Impact Interpretation
Tourism Trends, Infrastructure, and Policies
Tourism Trends, Infrastructure, and Policies 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.
David Kowalski. (2026, February 27). China Tourism Statistics. Gitnux. https://gitnux.org/china-tourism-statistics
David Kowalski. "China Tourism Statistics." Gitnux, 27 Feb 2026, https://gitnux.org/china-tourism-statistics.
David Kowalski. 2026. "China Tourism Statistics." Gitnux. https://gitnux.org/china-tourism-statistics.
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