Key Takeaways
- The U.S. laundry care market size was $8.4 billion in 2023.
- The U.S. laundry services industry was forecast to grow at a CAGR of 1.2% from 2023 to 2028.
- The U.S. laundry services industry had 4,068 businesses in 2023.
- In the U.S., 34% of households use cold water for most or all laundry.
- In the U.S., 55% of households use hot water for at least some laundry.
- In the U.S., 11% of households use hot water for all laundry.
- Typical energy use for clothes washing in the U.S. is about 400 kWh per year per household for laundry.
- Clothes washing uses about 8% of home electricity in the U.S.
- Hot water use is a major part of energy use for laundry; ENERGY STAR states heating water is about 90% of the energy used for washing.
- Laundry contributes microplastics to wastewater; a 2016 study estimated 1,900 fibers released per wash per garment (synthetic).
- A 2011 study found washing synthetic fabric releases billions of microfibers annually.
- The IUCN/peer-reviewed estimate: about 35% of microplastics entering oceans comes from textiles.
- The EU REACH restriction lists octylphenol ethoxylates; these were used in some cleaning applications, including laundering detergents historically.
- Phthalates in detergents: a Swedish study detected diethylhexyl phthalate (DEHP) in wastewater including detergent-related sources.
- The American Association of Poison Control Centers reports laundry detergent pods caused 16,000 poisoning calls in 2022 (approx).
In 2023, the US laundry services market hit $11.2 billion, with steady growth expected through 2028.
Market Size & Industry Economics
Market Size & Industry Economics Interpretation
Consumer Behavior & Demographics
Consumer Behavior & Demographics Interpretation
Energy, Water Use & Emissions
Energy, Water Use & Emissions Interpretation
Water Pollution & Microplastics
Water Pollution & Microplastics Interpretation
Chemicals, Health & Safety
Chemicals, Health & Safety Interpretation
Technology, Efficiency & Standards
Technology, Efficiency & Standards 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.
Stefan Wendt. (2026, February 13). Laundry Statistics. Gitnux. https://gitnux.org/laundry-statistics
Stefan Wendt. "Laundry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/laundry-statistics.
Stefan Wendt. 2026. "Laundry Statistics." Gitnux. https://gitnux.org/laundry-statistics.
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