Schema.org publishes public usage stats for structured data terms

Schema.org has started showing public usage statistics for its structured-data terms, turning a long-running technical layer into something agencies can actually benchmark against the market. The dataset updates monthly, measures adoption at the domain level, and uses popularity ranges instead of exact counts, a design meant to cut through daily noise and surface meaningful trends.

The rollout, announced June 4 and surfaced in reporting June 10, came out of a collaboration between Google and the Schema.org community. Schema.org said the files are available in CSV and JSON through its GitHub repository, and that usage statistics are being added directly to term pages. It also said the dataset draws from Google’s public web crawling infrastructure, and invited other crawlers and indexers to contribute compatible statistics in the same open format.

That matters because structured data has usually been judged by hunches and isolated audits, not public market evidence. Schema.org said that as of 2024, more than 45 million web domains marked up their pages with more than 450 billion Schema.org objects, but until now there was no public, term-by-term view of what the web actually uses. For SEO teams building client roadmaps, that changes the conversation: a markup recommendation can now be framed against adoption trends across millions of sites, not just best-practice doctrine.

The early numbers already show how wide the gap can be between mainstream and niche terms. The author property is listed at 10M+ domains, and about is also at 10M+ domains, while the Dataset type sits in the 10K to 100K bucket and the data property lands in the 1K to 10K range. That kind of spread is exactly what competitive-intelligence workflows need, because it separates schema that is broadly deployed from schema that is still emerging or underused.

For agencies, the practical value is straightforward. The stats can support internal audits, client education, competitive analysis, and productized technical SEO services. They also give strategists a cleaner way to justify where to invest next, whether that means expanding structured data coverage, prioritizing higher-value types, or proving that a technical enhancement has broad ecosystem relevance instead of being a niche nice-to-have. Schema.org’s new measurement layer does not replace strategy, but it gives agencies the external evidence they have been missing.