Schema.org has introduced monthly usage statistics for each schema type, letting users see which structured data formats are most widely adopted across millions of domains.
Schema.org has rolled out a new feature that brings monthly usage statistics to every schema type on its platform. This update allows users to quickly gauge the popularity of specific schema terms across the public web. For instance, the author schema is currently implemented on more than 10 million domains, while the event schema appears on fewer than 1 million domains.
In its announcement, Schema.org stated, "we are pleased to share a new dataset providing aggregate usage statistics for Schema.org terms across the public web." The statistics are updated monthly, aggregated at the domain level, and presented in popularity range buckets. According to Schema.org, this method helps reduce daily fluctuations and highlights meaningful adoption trends for researchers and tool developers. More details about the dataset are available at https://schema.org/docs/usage_stats.html.
Google highlighted the update on LinkedIn, noting, "With Schema.org's new usage statistics dataset, we can find out! It provides monthly aggregate usage statistics for Schema.org terms across millions of domains on the internet. You can see these adoption trends directly on individual schema term pages or analyze the raw .csv file that's available on GitHub."
Ryan Levering from Google also commented on LinkedIn, referencing Dan Brickley's longstanding request for Google Search to publish schema.org usage data. Levering wrote, "I finally got some support to finish the project and hopefully a few more cool things coming soon. It's hard for most open crawls to get the same depth of index as we have at Google, so we're happy to present some usage stats on schema.org terms, even if they are somewhat abstracted."
Discussion about the new statistics is ongoing in LinkedIn forums, as developers and SEO professionals explore the implications for structured data adoption and web standards.