Key Takeaways
- China's apparent steel consumption was 1.019 billion metric tons in 2022.
- Steel demand in China for infrastructure grew 5.2% YoY in 2023.
- China's auto sector steel use was 45.6 million tons in 2022.
- China's steel industry CO2 emissions totaled 2.1 billion tons in 2022.
- PM2.5 emissions from steel sector reduced 45% since 2015 to 2022.
- Ultra-low emission retrofits completed in 80% of capacity by 2022.
- In 2022, China produced 1,013.4 million metric tons of crude steel, representing 53.9% of global output.
- China's crude steel production capacity reached 1.22 billion metric tons by end of 2022.
- In 2023 Q1, China's pig iron output was 217.16 million metric tons.
- China's electric arc furnace (EAF) steel production ratio was 11.5% in 2022.
- Average energy intensity for steel production in China was 580 kgce/ton in 2022.
- Blast furnace utilization rate reached 92.3% in 2022.
- China's steel imports were 11.2 million tons in 2022.
- Steel exports from China reached 91.1 million tons in 2022.
- In 2023, China exported 90.3 million metric tons of steel products.
In 2022 China consumed 1.019 billion tons of steel, while 2023 demand softened and green upgrades accelerated.
Consumption and Demand
Consumption and Demand Interpretation
Environmental and Sustainability
Environmental and Sustainability Interpretation
Production and Capacity
Production and Capacity Interpretation
Technology and Efficiency
Technology and Efficiency Interpretation
Trade
Trade 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.
Henrik Dahl. (2026, February 13). China Steel Industry Statistics. Gitnux. https://gitnux.org/china-steel-industry-statistics
Henrik Dahl. "China Steel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/china-steel-industry-statistics.
Henrik Dahl. 2026. "China Steel Industry Statistics." Gitnux. https://gitnux.org/china-steel-industry-statistics.
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