New research indicates that a significant number of Britons are spending considerably more than the national average on clothing each month, with much of this expenditure going towards items that are rarely, if ever, worn. While official figures for average monthly clothing costs vary, ranging from approximately £33 per person (Office for National Statistics data via NimbleFins) to around £76 (Green Heart Collective, citing WRAP research), many consumers report spending double or even triple these amounts without a clear understanding of where their money is going.
This discrepancy highlights a prevalent consumer habit: purchasing clothes that are either returned at the last minute or left to languish in wardrobes. A deeper dive into consumer behaviour, particularly by WRAP, reveals a startling statistic: the average UK adult owns 118 items of clothing, yet 26% of these haven't been worn in at least a year. This translates to an estimated £4 billion worth of garments sitting untouched across the country – a substantial hidden cost that never appears in monthly budget calculations because the money has already been spent.
The true cost of clothing, experts suggest, should be measured by 'cost per wear' rather than just the price tag. For example, a £15 jumper worn 50 times costs a mere 30p per wear, while a £150 dress worn only once carries a hefty £150 per wear. The Ellen MacArthur Foundation has found that the average garment is worn as few as seven times before being discarded, underscoring how often clothes fail to deliver value for money.
Traditional methods to curb overspending, such as 'no-buy' challenges or complete wardrobe overhauls, often prove ineffective. A 'no new clothes for a year' rule frequently breaks down for specific events, leading to a rebound in spending. Similarly, a personal stylist, while effective, can be prohibitively expensive, with costs sometimes exceeding several months' worth of a typical clothing budget. These approaches often fail to address the core issue: knowing whether an item will truly work at the point of purchase.
However, new technological solutions are emerging to tackle this problem. AI styling applications, such as Dressly AI, are designed to help consumers make informed decisions before buying. These apps use artificial intelligence to assess how well an item matches a shopper’s colouring and body shape, potentially reducing impulse buys and the accumulation of unworn clothing. By providing instant, personalised advice, these tools aim to empower consumers to build more sustainable and cost-effective wardrobes.