Key Takeaways
- In 2022, India produced 124.4 million tonnes of crude steel; EAF share supports rising scrap demand (emerging scrap market).
- In 2022, the global average collection rate for scrap steel was about 90% of available end-of-life steel (collection-to-recycling systems indicator).
- In 2021, the EU Circular Economy Action Plan targeted improving recycling, including measures relevant to waste-to-resource systems that feed scrap. (Policy milestone for recycling markets).
- $251 billion global ferrous scrap market size was estimated in 2023 (and value-based framing of scrap trade/market).
- $69 billion global non-ferrous scrap market size was estimated in 2023 (and value-based framing of scrap trade/market).
- EU-27 + UK produced about 28.2 million tonnes of steel scrap in 2022 (scrap generation scale in a major recycling region).
- Recycling steel can save about 74% of energy compared to making steel from iron ore (energy savings linked to cost competitiveness of scrap).
- Recycling aluminium saves about 95% of the energy needed to produce primary aluminium from bauxite (non-ferrous scrap competitiveness).
- CO2 emissions for steel produced via EAF using scrap are typically about 0.4–0.6 tCO2/t steel, versus about 1.8 tCO2/t for BF-BOF (range indicator of decarbonization value).
- 10.2 million metric tons of steel were generated as scrap in the United States in 2022 (used as a proxy for ferrous scrap generation scale).
- 31.5 million metric tons of steel were recovered/recycled in the United States in 2022 (recycling output scale for scrap-linked secondary steel).
- 7.8 million metric tons of steel were processed at steel plants in the United States in 2022 (recycling/processing throughput indicator).
- In 2023, the average price for No. 1 copper (delivered) in the United States was $4.03 per pound (drives non-ferrous scrap value).
- In 2023, the U.S. produced 2.4 million metric tons of aluminum post-consumer scrap (material recovery output for secondary feedstock).
- In 2021, Germany recovered 71% of its total waste (reported as recycling/recovery), supporting higher secondary materials availability including scrap inputs.
Rising scrap collection and EAF expansion are driving stronger global demand, pricing, and decarbonization.
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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.
Daniel Varga. (2026, February 13). Scrap Industry Statistics. Gitnux. https://gitnux.org/scrap-industry-statistics
Daniel Varga. "Scrap Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/scrap-industry-statistics.
Daniel Varga. 2026. "Scrap Industry Statistics." Gitnux. https://gitnux.org/scrap-industry-statistics.
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