Key Takeaways
- Global circularity metric reached only 7.2% in 2023
- The world economy is more than 90% linear
- Global resource extraction has tripled since 1970
- Textile production uses 93 billion cubic meters of water annually
- Fashion industry is responsible for 10% of annual global carbon emissions
- Less than 1% of used clothing is recycled into new clothing
- Global recycling rate for MSW (Municipal Solid Waste) is approximately 19%
- Landfilling remains the dominant waste management method in 40% of countries
- Only 2% of plastic packaging is recycled into a similar quality product (closed-loop)
- The EU Circular Economy Action Plan targets 50% less residual waste by 2030
- 64 countries have implemented Extended Producer Responsibility (EPR) laws
- The French Anti-Waste Law bans destruction of unsold non-food products
- Global smartphone ownership reached 6.8 billion in 2023
- 50% of consumers would pay more for sustainable products
- Usage of repair cafes in Europe has tripled since 2015
Despite alarmingly low global circularity, transitioning from our wasteful linear economy offers massive environmental and economic benefits.
Consumer Behavior and Tech
Consumer Behavior and Tech Interpretation
Global Metrics
Global Metrics Interpretation
Industry Sector Performance
Industry Sector Performance Interpretation
Policy and Economics
Policy and Economics Interpretation
Waste and Recycling
Waste and Recycling 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.
Daniel Varga. (2026, February 13). Circular Statistics. Gitnux. https://gitnux.org/circular-statistics
Daniel Varga. "Circular Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/circular-statistics.
Daniel Varga. 2026. "Circular Statistics." Gitnux. https://gitnux.org/circular-statistics.
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