Key Takeaways
- In 2018, the U.S. recycled 69% of paper and 24% of plastics generated as MSW (EPA), directly impacting operational volumes and sorting infrastructure planning
- 31% of companies in a logistics technology survey cited higher fuel efficiency benefits from telematics, relevant to recycling supply-chain transport costs
- In Germany, DPG/dual system data reported packaging recycling rates of 80%+ for several container streams in 2021 (as reported in the monitoring report), indicating strong operational performance in upstream recovery
- In 2021, the EU’s Packaging Waste Regulation supported a higher collection and recycling ambition, with targets leading toward at least 55% packaging waste recycled by 2030—driving long-term procurement and logistics planning
- The EU Landfill Directive target is to reduce landfilling to 10% of municipal waste by 2035, influencing diversion logistics for recyclables and recovered materials
- The European Commission reported that the circular economy could help reduce primary resource use by 28% by 2030—affecting long-run material supply needs for recycling systems
- $55.5 billion global secondary materials market size in 2021 (as reported by the source), relevant to the downstream value that drives collection and processing networks
- $424.0 billion global recycling market size forecast for 2030 (as reported by the source), indicating future supply-chain scale pressures
- $556.0 billion global waste management market size in 2023 (as reported by the source), reflecting the financial scope behind waste-to-recycling flows
- In a global review, material recovery from waste is often cost-competitive when commodity prices are above a threshold—reported as a sensitivity of economics to commodity price changes of around 20%–30% in the cited modeling
- Waste management costs in OECD countries averaged 1.7% of household expenditure in 2018 (as reported in OECD data/analysis), influencing residential-to-collection economics for recycling systems
- A study on plastic recycling economics reported that at current mixed-plastic prices, the cost of sorting and contamination can exceed revenue, with negative net margins under certain price scenarios (reported modeling ranges)
- In the OECD, global trade in waste faced disruptions with documented volatility during COVID-19; one report quantified international waste shipments dropping by around 20% in early 2020 for some waste categories (as reported in the study)
- China’s 2018 National Sword policy led to a substantial reduction in imported mixed paper and plastics; one OECD report quantified that imports declined by about 70% for some materials after the restrictions
- The Basel Convention reports that hazardous waste misclassification is an ongoing risk, with enforcement issues in transboundary shipments; in one analysis, illegal shipments accounted for a notable share (quantified in the report as a fraction of inspected consignments)
Supply chain success in recycling hinges on policy targets, feedstock quality, and volatile markets shaping collection, sorting, and costs.
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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.
Samuel Norberg. (2026, February 13). Supply Chain In The Recycling Industry Statistics. Gitnux. https://gitnux.org/supply-chain-in-the-recycling-industry-statistics
Samuel Norberg. "Supply Chain In The Recycling Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/supply-chain-in-the-recycling-industry-statistics.
Samuel Norberg. 2026. "Supply Chain In The Recycling Industry Statistics." Gitnux. https://gitnux.org/supply-chain-in-the-recycling-industry-statistics.
References
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- 17epa.gov/facts-and-figures-about-materials-waste-and-recycling
- 18epa.gov/sites/default/files/2024-09/documents/2022_msw_facts_and_figures.pdf
- 32epa.gov/sites/default/files/2020-12/documents/2018_characterization_study.pdf
- 2fleetio.com/resources/telematics-statistics/
- 3bundesregierung.de/breg-de/service/publikationen/verpackungsmonitor-2021-1954134
- 4environment.ec.europa.eu/topics/waste-and-recycling/construction-and-demolition-waste_en
- 5eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2020:98:FIN
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- 25oecd.org/environment/waste/policy-brief-on-waste-trade-and-the-impact-of-china-s-national-sword.pdf
- 21nature.com/articles/s41598-020-70067-1
- 22icis.com/explore/resources/news/2020/02/recycled-plastic-price-trends-2019
- 26basel.int/Implementation/Illegal-traffic
- 28basel.int/Implementation/Plastic-waste
- 27worldbank.org/en/topic/urbandevelopment/brief/solid-waste-management
- 30worldsteel.org/media-centre/news/2020/steel-scrap-price-volatility-report.html







