Real-world adoption data across 958 schema types
Which schema.org types are actually deployed on the web? Sourced from Google's public monthly dataset — covering every schema type from those on 10M+ domains down to rare, niche types.
What Do the Adoption Tiers Mean?
Each schema type is assigned to an adoption tier based on how many distinct registered domains Google observed using it in their latest web crawl. A domain counts once regardless of how many pages on that domain use the type.
10M+ — Universal
Core infrastructure types like Organization, WebPage, BreadcrumbList. Found on more than 10 million distinct domains — essential structured data.
1M - 10M — Mainstream
High-value types like Product, Review, Article, LocalBusiness. Google actively uses these for rich results. Broad adoption across major sites.
100K - 1M — Established
Types like Event, JobPosting, HowTo, NewsArticle. Well-supported with Google rich result eligibility. Implement for relevant content.
10K - 100K — Sector-specific
Industry or content-type specific schemas — hospitality, legal, medical, entertainment. Valuable within their vertical.
1K - 10K — Niche
Specialist types used by focused communities — academic publishers, broadcasters, government entities. Implement if directly relevant.
< 1K — Rare
Types seen on fewer than 1,000 domains. Includes pending proposals, medical/scientific schemas, and legacy types. Not recommended for general use.
Which Schema Types Matter Most for SEO?
Adoption volume alone does not determine SEO value — but it is a useful signal. High adoption means Google has indexed and tested these types extensively, their rich result implementations are stable, and webmasters have validated that the implementation overhead is worthwhile.
For most websites, the highest-ROI schema types are those in the 1M–10M and 100K–1M buckets that match your content type. A recipe blog should prioritise Recipe schema; an e-commerce store should prioritise Product and AggregateRating; a local service business should focus on LocalBusiness.
The 10M+ types (Organization, WebPage, BreadcrumbList, WebSite) are useful site-wide signals for Google and AI crawlers. They do not typically produce visible rich results in standard SERPs but are part of Google's entity understanding and Sitelinks Search Box eligibility.
Related tools:
- → Schema Markup Generator — generate valid JSON-LD for any of the 16 most common schema types
- → Schema Validator — validate any existing schema markup against Google's rich result requirements
- → Bulk Schema Checker — audit schema markup across multiple URLs at once
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About the Data
This dataset is published monthly by the schema.org community using data provided by Google. It reflects Google's real-world crawl of the public web — specifically the count of distinct registered domains (eTLD+1) observed using each schema.org type, bucketed into six tiers.
The data covers both Itemtype (schema types like Product, Person, Article) and Predicate (schema properties like name, description, url). This page shows Itemtype data only, which is most relevant for SEO implementation decisions.
Source: github.com/schemaorg/schemaorg · schema.org/docs/usage_stats.html
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