Key Takeaways
- Brewed coffee contains 80-100 mg caffeine per 8 oz cup on average.
- Red Bull energy drink (8.4 oz) has 80 mg caffeine, equivalent to a cola.
- Black tea (8 oz) averages 47 mg caffeine, while green tea has 28 mg.
- Worldwide, average daily caffeine consumption is about 200 mg per person, equivalent to two cups of coffee.
- In the United States, 90% of adults consume caffeine daily, with an average intake of 193 mg/day.
- Coffee accounts for 70% of caffeine intake in the US, followed by soft drinks (16%) and tea (12%).
- Caffeine improves reaction time by 12% and accuracy by 6% in vigilance tasks at 200 mg dose.
- Moderate caffeine intake (3-5 cups coffee/day) reduces risk of Parkinson's disease by 25-30%.
- Caffeine consumption of >200 mg/day is associated with 20% lower risk of stroke in women.
- Lethal dose of caffeine is 150-200 mg/kg body weight, or about 10-14 grams for a 70 kg adult.
- Caffeine withdrawal headache affects 50% of regular users, peaking 20-51 hours after cessation.
- >400 mg/day caffeine during pregnancy increases miscarriage risk by 32%.
- Caffeine is a central nervous system stimulant that antagonizes adenosine A1 and A2A receptors, thereby reducing the inhibitory effects of adenosine and promoting wakefulness.
- The half-life of caffeine in plasma is approximately 5 hours in healthy adults, but can extend to 9-11 hours in pregnant women.
- Caffeine increases intracellular calcium levels in skeletal muscle, enhancing contractility and fatigue resistance during exercise.
With common coffee and energy drinks, caffeine averages around 200 mg daily but can range far higher.
Caffeine Content
Caffeine Content Interpretation
Consumption Patterns
Consumption Patterns Interpretation
Health Benefits
Health Benefits Interpretation
Health Risks and Safety
Health Risks and Safety Interpretation
Physiological Effects
Physiological Effects 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.
Isabelle Moreau. (2026, February 13). Caffeine Statistics. Gitnux. https://gitnux.org/caffeine-statistics
Isabelle Moreau. "Caffeine Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/caffeine-statistics.
Isabelle Moreau. 2026. "Caffeine Statistics." Gitnux. https://gitnux.org/caffeine-statistics.
Sources & References
- Reference 1PUBMEDpubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
- Reference 2NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 3STATISTAstatista.com
statista.com
- Reference 4FDAfda.gov
fda.gov
- Reference 5MAYOCLINICmayoclinic.org
mayoclinic.org
- Reference 6CAFFEINEINFORMERcaffeineinformer.com
caffeineinformer.com







