Travel and lodging

How this is measured

I sort all of Google's 937 classes into an industry by walking their parent types through Schema.org's own hierarchy, then read the terms' adoption from Google's July 2026 usage file. Travel and lodging holds 37 of those classes. None of that grouping comes from matching a name. That matters more than it sounds, because my first attempt did match names and produced entirely plausible counts that were guesses. If you regroup the classes yourself and land a type on a different page, the ancestor column is where we would disagree.

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, not 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 those judgments against Google's own documentation, because the features carry the addresses of the pages they 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 and not on three. The assignment keeps the ancestor that won. I show that ancestor beside the term on the industry pages, so you can see why a type sits where it does and disagree with me if you want to.

The adoption figures here are bands, not counts. Google sorts the terms into six bands 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. These figures count vocabulary terms, not businesses or websites.

The subhub lists all the industries. You can download the figures as JSON or CSV and check any line here against them.

Snapshot July 2026. 3 months archived. Built 19 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.