How to Use Schema.org Usage Statistics to Pick the Right Structured Data

What is the new Schema.org usage statistics dataset?

Schema.org just released a monthly dataset showing which structured data types and properties are actually used across millions of websites. This data comes from Google's crawling and is available in CSV and JSON formats on the official Schema.org GitHub repository.

The statistics are aggregated by domain and presented in popularity ranges rather than exact numbers. This protects privacy while still showing clear adoption trends across the web.

Why should you care about Schema.org usage statistics?

This dataset solves a major problem: knowing which structured data to implement first.

According to Google's Web Almanac, only 38% of websites implement any structured data at all, making usage statistics crucial for focusing on the most impactful schema types. Before this release, you had to guess which schema types would give you the best return on investment.

Now you can see real adoption data. If a schema type is used by millions of domains, search engines likely support it well. If it's barely adopted, you might want to focus elsewhere.

How can you access and use this structured data usage information?

Visit the Schema.org GitHub repository to download the monthly datasets. The files contain usage statistics for all schema types and properties, broken down by popularity ranges.

You can also see usage statistics directly on individual schema term pages at Schema.org. Each term now displays its adoption level, making it easy to evaluate options while researching.

Which Schema.org types should you prioritize based on usage data?

Focus on widely adopted schema types first. Look for types used across hundreds of thousands or millions of domains. These typically include:

• Organization and LocalBusiness for company information
• Product for ecommerce sites
• Article for blog posts and news content
• FAQ for question-and-answer sections
• BreadcrumbList for navigation

Avoid experimental or rarely-used schema types unless you have a specific business need. Your time is better spent implementing proven structured data that search engines actively use.

How often should you check these structured data statistics?

The dataset updates monthly, but you don't need to check it that frequently. Review the statistics quarterly when planning your structured data roadmap, or before implementing new schema types.

Use the data to validate your structured data strategy. If you're considering a schema type that shows very low adoption, research why before investing development time.

What does this mean for the future of structured data?

This transparency from Schema.org and Google signals a more data-driven approach to structured data development. Expect schema types with high usage to receive better support and new features in search results.

The initiative also opens the door for other search engines to contribute their usage statistics, potentially creating a more complete picture of structured data adoption across the web.