Lunarness Fashion Data Briefing 2

Online Fashion Shopping in Europe: The 2024 Age Gap

How common was online clothing shopping in the European Union in 2024? This episode explains the reported 46 percent overall rate and the 37 percentage-point gap between two age groups.

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Episode transcript

Welcome to Lunarness Fashion Data Briefing. This episode examines online fashion shopping in the European Union and the age gap hidden behind the overall percentage.

Eurostat reported that 46 percent of European Union internet users bought clothing, shoes or accessories online in 2024. The reference population is important. This is a share of internet users, based on activity in the previous three months. It is not a share of every resident, and it does not measure how much each person spent.

The age breakdown shows a much wider difference. Among internet users aged 25 to 34, the reported rate was 59 percent. Among people aged 65 to 74, it was 22 percent.

The difference between those age groups is 37 percentage points. That is a percentage-point gap, not a claim that the younger group spent 37 percent more money. The source measures whether people made an online purchase in the category, not their order value, frequency or preferred retailer.

This distinction is useful for ecommerce planning. A high participation rate can signal that online discovery and checkout are established habits for an age group. A lower rate may reflect different preferences, access patterns, trust levels or product needs. The statistic alone cannot tell us which explanation is correct.

The wider fashion information environment also includes enormous website traffic. A separate Similarweb comparison summarized by Statista reported more than 184 million average monthly visits for Shein in January 2024. That is a worldwide website traffic measure, while the Eurostat results describe purchasing behavior among European Union internet users. They provide useful context side by side, but they should not be combined into one causal model.

Good fashion research keeps the geography, population, time period and measurement method attached to every number. That is the editorial rule behind the Lunarness Fashion Data Observatory 2026.

The full table, source links, downloadable CSV and JSON files, and the archived DOI record are linked in this episode description.

This has been Lunarness Fashion Data Briefing. The next episode looks at textile consumption, waste and circularity in Europe.

Evidence and citation

The transcript is an editorial interpretation of the cited evidence. Keep each value attached to its geography, period, unit and measurement method.

Editorial note: The audio and transcript communicate the same analysis. The Observatory and archived dataset are the canonical references for values, source URLs, calculations and comparability notes.