Key Takeaways
- In 2022, global crude steel production reached 1,888.2 million tonnes, marking a 1.3% decrease from 2021
- China produced 1,013.0 million tonnes of crude steel in 2022, accounting for 53.6% of global output
- India was the second-largest producer with 125.1 million tonnes of crude steel in 2022, up 5.0% from 2021
- Asia and Oceania accounted for 72% of global crude steel production in 2022
- EU-27 produced 134.7 million tonnes of crude steel in 2021
- India's crude steel production capacity reached 154 million tonnes per annum (MTPA) by March 2023
- Global apparent steel use in 2022 was 1,751 million tonnes excluding China
- China's apparent steel use was 1,019 million tonnes in 2022, 54% of world total
- World per capita steel use was 212 kg in 2022
- Global steel trade volume was 532 million tonnes in 2022, up 2.7%
- Semi-finished steel products accounted for 45% of global steel trade in 2022
- Finished steel products trade was 55% of total in 2022
- Steel industry CO2 emissions totaled 2.6 Gt in 2022, 7% of global total
- BF-BOF route emits 1.8-2.0 tonnes CO2 per tonne of steel
- EAF route average emissions are 0.4 tonnes CO2 per tonne steel using scrap
Global steel production dipped slightly while China remained the dominant producer.
Consumption Patterns
Consumption Patterns Interpretation
Global Production
Global Production Interpretation
Regional Production
Regional Production Interpretation
Sustainability and Environment
Sustainability and Environment Interpretation
Trade Statistics
Trade Statistics 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.
Emilia Santos. (2026, February 13). Iron And Steel Industry Statistics. Gitnux. https://gitnux.org/iron-and-steel-industry-statistics
Emilia Santos. "Iron And Steel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/iron-and-steel-industry-statistics.
Emilia Santos. 2026. "Iron And Steel Industry Statistics." Gitnux. https://gitnux.org/iron-and-steel-industry-statistics.
Sources & References
- Reference 1WORLDSTEELworldsteel.org
worldsteel.org
- Reference 2OECDoecd.org
oecd.org
- Reference 3ECec.europa.eu
ec.europa.eu
- Reference 4STEELsteel.gov.in
steel.gov.in
- Reference 5USGSusgs.gov
usgs.gov
- Reference 6IBEFibef.org
ibef.org
- Reference 7AISTaist.org
aist.org
- Reference 8OECoec.world
oec.world
- Reference 9TRADEtrade.gov
trade.gov
- Reference 10STATISTAstatista.com
statista.com
- Reference 11POLICYpolicy.trade.ec.europa.eu
policy.trade.ec.europa.eu
- Reference 12COMMERCEcommerce.gov
commerce.gov
- Reference 13REUTERSreuters.com
reuters.com
- Reference 14STEELORBISsteelorbis.com
steelorbis.com
- Reference 15BIRbir.org
bir.org
- Reference 16EUROFEReurofer.eu
eurofer.eu
- Reference 17IEAiea.org
iea.org






