Key Takeaways
- Global refining capacity stood at 102.5 million barrels per day (mb/d) in 2022, up 1.2% from 2021.
- U.S. refinery capacity was 18.4 million bpd operable atmospheric crude distillation capacity as of January 1, 2023.
- China's refining capacity increased to 18.4 mb/d in 2022, making it the world's largest refiner.
- Global petrochemical production capacity for ethylene was 200 million tons in 2022.
- U.S. ethylene production capacity reached 28 million metric tons per year (mmtpa) in 2023.
- China's petrochemical capacity for paraxylene (PX) was 32 mmtpa in 2022.
- World gasoline demand was 26.3 mb/d in 2022.
- U.S. gasoline consumption averaged 8.8 mb/d in 2022.
- China's diesel demand peaked at 4.5 mb/d in 2022.
- Global downstream revenue reached $4.2 trillion in 2022.
- U.S. downstream sector market size was $1.1 trillion in 2022.
- Global refining margins in Singapore averaged $8.50/bbl in 2022.
- Global CO2 emissions from refining were 1.2 Gt in 2022.
- U.S. refineries emitted 180 million metric tons CO2 in 2022.
- Europe's refineries reduced SOx emissions by 70% since 2005.
The downstream energy industry showed contrasting regional growth and strong refining margins in 2022.
Economics and Markets
Economics and Markets Interpretation
Environment and Regulation
Environment and Regulation Interpretation
Infrastructure and Logistics
Infrastructure and Logistics Interpretation
Petrochemicals
Petrochemicals Interpretation
Product Consumption
Product Consumption Interpretation
Refining
Refining 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.
Ryan Townsend. (2026, February 13). Downstream Energy Industry Statistics. Gitnux. https://gitnux.org/downstream-energy-industry-statistics
Ryan Townsend. "Downstream Energy Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/downstream-energy-industry-statistics.
Ryan Townsend. 2026. "Downstream Energy Industry Statistics." Gitnux. https://gitnux.org/downstream-energy-industry-statistics.
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