Industry
Jobs and careers
Jobs and careers holds 4 Schema.org types you can mark up, and not one of them sits on fewer than a thousand websites. Google documents two rich results that start from a type in this industry. The terms below are here because one of their parent types is, and the parent that placed them travels with them so you can follow the reasoning back yourself.
- Types4
- Reach 100,000 sites1
- Share under 1,0000.00%
- Rich results2
What you can mark up
July 2026 · six ranges, no exact numbersGoogle and the Schema.org community, Schema.org usage statistics dataset. Websites in Google's index.
The websites column is a band, not a count, because Google publishes six ranges and not the figure inside one. The last column names the ancestor that put a term into jobs and careers, which is the difference between a derivation and a guess. A term that is one of this industry's own roots names itself there. It is also why a type such as Dentist lands in medical and health and not in local business, even though it is honestly both. I made that call once, in the ordering, and it applies to your type the same way.
| Term | Websites | Movementover 3 months | Placed byits root or an ancestor |
|---|---|---|---|
| JobPosting | 100K - 1M | No change | JobPosting |
| Occupation | 10K - 100K | No change | Occupation |
| EmployerAggregateRating | 1K - 10K | No change | EmployerAggregateRating |
| EmploymentAgency | 1K - 10K | No change | EmploymentAgency |
What Google documents
Beside the feature sits the primary Schema.org type it is about, so you can see why it belongs to this industry and not to another one. The address is Google's own page for that feature, and the date beside it is when Google last changed that page. A requirement quoted without a date is a claim about a target that has already moved, so the two travel together here. If you build one of these, I would check the date first.
| Feature | Primary type | Status | Google page | Page updated |
|---|---|---|---|---|
| Employer rating | EmployerAggregateRating | Live | employer-rating | |
| Job posting | JobPosting | Live | job-posting |
What almost nobody does yet
Not one of the 4 types in jobs and careers sits in Google's smallest band, so all of them are already on a thousand websites or more. That is unusual. It is a stronger position than a long vocabulary nobody has adopted, and it is the one I would rather be in. A short list that is fully used means the terms you have are understood, and there is nothing here waiting to be found.
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. Jobs and careers holds 4 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.