# Jobs and careers

4 Schema.org types sit in jobs and careers and none of them are on fewer than a thousand websites. Every term carries the parent type that placed it there.

> Source: https://eduarddziak.com/structured-data/industries/jobs-and-careers/
> Snapshot: July 2026
> Updated: 2026-08-18
> Data: /data/schema-stats.json and /data/explorer.json
> Licence: Apache 2.0, credit requested

## Summary

| Measure | Value |
| --- | --- |
| Types in this industry | 4 |
| On 100,000 websites or more | 1 |
| On fewer than 1,000 websites | 0 |
| Share under 1,000 websites | 0.00% |
| Rich results Google documents | 2 |
| Snapshot | July 2026 |

## What you can mark up

The websites column is a band rather than a count, because Google publishes six ranges and never the figure inside one. The last column names the ancestor that put each 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 rather than in local business, even though it is honestly both.

| Term | Websites | Movement | Placed by |
| --- | --- | --- | --- |
| [JobPosting](https://schema.org/JobPosting) | 100K - 1M | No change | JobPosting |
| [Occupation](https://schema.org/Occupation) | 10K - 100K | No change | Occupation |
| [EmployerAggregateRating](https://schema.org/EmployerAggregateRating) | 1K - 10K | No change | EmployerAggregateRating |
| [EmploymentAgency](https://schema.org/EmploymentAgency) | 1K - 10K | No change | EmploymentAgency |

## What Google documents

Each row names the primary Schema.org type the feature is about, so you can see why it belongs to this industry rather than 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.

| Feature | Primary type | Status | Google page | Page updated |
| --- | --- | --- | --- | --- |
| Employer rating | EmployerAggregateRating | Live | https://developers.google.com/search/docs/appearance/structured-data/employer-rating | 2025-12-10 |
| Job posting | JobPosting | Live | https://developers.google.com/search/docs/appearance/structured-data/job-posting | 2025-12-18 |

## What almost nobody does yet

Not one of the 4 types in jobs and careers sits in Google's smallest band, so every one of them is already on a thousand websites or more. That is unusual, and it is a stronger position than a long vocabulary nobody has adopted. 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 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. Jobs and careers holds 4 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.

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.