Markdown

Industry

Finance and legal

Finance and legal holds 24 Schema.org types you can mark up, and ten of them sit on fewer than a thousand websites. Google documents no rich result that starts from any of them. Every term below is here because one of its parent types is, and the parent that placed it travels with it so you can follow the reasoning back yourself.

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 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 finance and legal, 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.

The 24 Schema.org types in finance and legal, with the websites using each one in July 2026. Websites is a band, never an exact count.
TermWebsitesMovementover 3 monthsPlaced byits root or an ancestor
MonetaryAmount100K - 1MNo changeMonetaryAmount
AccountingService10K - 100KNo changeFinancialService
Attorney10K - 100KNo changeLegalService
FinancialProduct10K - 100KNo changeFinancialProduct
FinancialService10K - 100KNo changeFinancialService
InsuranceAgency10K - 100KNo changeFinancialService
LegalService10K - 100KNo changeLegalService
BankOrCreditUnion1K - 10KNo changeFinancialService
CreditCard1K - 10KNo changeFinancialProduct
Legislation1K - 10KNo changeLegislation
LegislationObject1K - 10KNo changeLegislation
LoanOrCredit1K - 10KNo changeFinancialProduct
Notary1K - 10KNo changeLegalService
PaymentService1K - 10KNo changeFinancialProduct
AutomatedTeller< 1KNo changeFinancialService
BankAccount< 1KNo changeFinancialProduct
BrokerageAccount< 1KNo changeFinancialProduct
CurrencyConversionService< 1KNo changeFinancialProduct
DepositAccount< 1KNo changeFinancialProduct
InvestmentFund< 1KNo changeFinancialProduct
InvestmentOrDeposit< 1KNo changeFinancialProduct
Invoice< 1KNo changeInvoice
MortgageLoan< 1KNo changeFinancialProduct
PaymentCard< 1KNo changeFinancialProduct

What Google documents

Google documents no rich result for finance and legal, and four of the thirteen industries are in the same position. Between them they hold 187 vocabulary terms. Google documents rich results for what it chooses to show in search, and those choices are not spread evenly across what Schema.org describes. It does not mean marking these types up is wasted, because a search result is only one of the things that reads a page.

The same fact is set beside the other industries on the industry subhub, and the properties Google does recommend everywhere else are on the recommended gap report.

What almost nobody does yet

Ten of the 24 types here sit in Google's smallest band, meaning fewer than a thousand websites use them. Almost nobody has tried these, so there is no common implementation to copy and no way to tell from adoption alone whether the silence is an opening or a lack of interest. What the band does tell you is that very few examples of the term exist for anything to learn from, so a rare type is a bet rather than a safe default.

The 10 types in finance and legal used by fewer than a thousand websites in July 2026.
TermMovementover 3 monthsPlaced byits root or an ancestor
AutomatedTellerNo changeFinancialService
BankAccountNo changeFinancialProduct
BrokerageAccountNo changeFinancialProduct
CurrencyConversionServiceNo changeFinancialProduct
DepositAccountNo changeFinancialProduct
InvestmentFundNo changeFinancialProduct
InvestmentOrDepositNo changeFinancialProduct
InvoiceNo changeInvoice
MortgageLoanNo changeFinancialProduct
PaymentCardNo changeFinancialProduct

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. Finance and legal holds 24 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.