Events and entertainment

How this is measured

I sort every one of Google's 937 classes into an industry by walking its parent types through Schema.org's own hierarchy, then read each term's adoption from Google's July 2026 usage file. Events and entertainment holds 48 of those classes. None of that grouping comes from matching a name, which matters more than it sounds, because a first attempt at it did match names and produced entirely plausible counts that were guesses.

Two kinds of claim sit side by side on these pages and they are not equally strong. A type reaches its industry one way. By ancestry through rdfs:subClassOf, never by name. Each assignment records the ancestor that produced it. A Google rich result feature is a page on Google's website rather than a Schema.org type, so it has no parent to walk and it reaches its industry another way. One recorded judgement per feature, its primary Schema.org type, then assigned by the same ancestry walk. You can check every one of those judgements against Google's own documentation, because each feature carries the address of the page it came from.

That walk reads an ordered list of industries, most specific first, because LocalBusiness is a subclass of both Organization and Place and the three cannot all be industries. A type takes the first industry it matches on the way up, so it lands on one page rather than on three. Every assignment keeps the ancestor that won, and that ancestor is shown beside the term on the industry pages.

Every adoption figure here is a band rather than a count. Google sorts each term into one of six and publishes nothing inside them, so a term you can see on somewhere between one and ten million websites has no public exact number, on this page or anywhere else. A longer list of types does not mean a bigger industry in the economy either, because these figures count vocabulary terms rather than businesses or websites.

Every industry is listed on the subhub, and you can download the figures as JSON or CSV and check any line here against them.

Snapshot July 2026. 3 months archived. Built 18 August 2026.

Analysis © Eduard Dziak, licensed under the Apache License 2.0. Please credit eduarddziak.com with a link. Source data: Google and the Schema.org community, Schema.org usage statistics dataset. Rich result requirements: Google Search Central, licensed CC BY 4.0. Term descriptions: Schema.org, licensed CC BY-SA 3.0, each term linking to its own page. Crawl counts: HTTP Archive Web Almanac, licensed Apache License 2.0.