Key Takeaways
- The global average annual precipitation is approximately 990 mm, with about 78% falling as rain.
- Earth's total annual rainfall volume is estimated at 505,000 cubic kilometers.
- The average annual rainfall over oceans is 2.7 meters, compared to 0.78 meters over land.
- Cherrapunji, India recorded 26,461 mm of rainfall in 1861, the highest annual total ever.
- In 2021, Zhengzhou, China experienced 201.9 mm in one hour, a national record.
- Réunion Island's Cilaos station recorded 1,825 mm in 24 hours on March 15-16, 1952.
- June in Northern Hemisphere has average rainfall peaking at 100 mm globally.
- December is the wettest month globally over oceans, averaging 150 mm.
- Monsoon season in South Asia brings 70-90% of annual rain June-September.
- Mawsynram, India receives 11,871 mm annually, wettest place.
- Lloró, Colombia averages 12,892 mm per year.
- Debundscha, Cameroon: 10,000+ mm annually.
- Global rainfall increased 1-2% per decade since 1950s.
- Tropics saw 1.5% increase in extreme rain per decade 1950-2018.
- Northern Hemisphere land precipitation up 2.3% from 1901-2020.
Rainfall varies dramatically worldwide and is increasing due to climate change.
Average Rainfall Statistics
Average Rainfall Statistics Interpretation
Extreme Rainfall Events
Extreme Rainfall Events Interpretation
Geographical Rainfall Distribution
Geographical Rainfall Distribution Interpretation
Rainfall Trends and Projections
Rainfall Trends and Projections Interpretation
Seasonal Rainfall Patterns
Seasonal Rainfall Patterns 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.
Megan Gallagher. (2026, February 13). Rainfall Statistics. Gitnux. https://gitnux.org/rainfall-statistics
Megan Gallagher. "Rainfall Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/rainfall-statistics.
Megan Gallagher. 2026. "Rainfall Statistics." Gitnux. https://gitnux.org/rainfall-statistics.
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