⚡ Semantic Markup in the United Kingdom

Semantic markup is code added to web pages to describe the meaning of content elements and their relationships, giving search engines and other systems clearer context beyond visual layout.

The United Kingdom of Great Britain and Northern Ireland (UK) is a Western European country with a population of over 67 million people.

According to our research, semantic markup formats are used on 67.8% of websites from the United Kingdom.

Statistics based on 186K+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the top semantic markup formats in the United Kingdom in 2026, based on market share.

The most popular is Open Graph with an impressive share of 90.4%, followed by Twitter Cards with 77.4% and JSON-LD with 72.9%.

Open Graph 90.4%
Twitter Cards 77.4%
JSON-LD 72.9%
Microdata 23.2%
Microformats 4.5%
Dublin Core 1.5%
RDFa 0.9%
Microformats2 0.1%
GoodRelations 0.1%
Product Ontology 0.09%
e-GMS 0.03%

🚀 Highlights

Here is a list of the top formats that are more popular in the United Kingdom than worldwide.
Differences between global and country rankings are shown in parentheses.

9. GoodRelations ^(-1)

✨ Best Semantic Markup Formats

Below is a more detailed list of 11 semantic markup formats used on sites from the United Kingdom, ranked by their market share.

Rank	Name	Market share
1	Open Graph Menlo Park, California, United States A web metadata standard that defines how webpages are described as structured objects for use in social graphs and enables their consistent representation.	90.4%
2	Twitter Cards Bastrop, Texas, United States A metadata format used by X, originally Twitter, that enables links in posts to display rich previews with images, videos, and interactive media to increase engagement and traffic.	77.4%
3	JSON-LD Cambridge, Massachusetts, United States A lightweight linked data format used to embed structured data into web pages in a machine-readable form.	72.9%
4	Microdata Cambridge, Massachusetts, United States An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.	23.2%
5	Microformats San Francisco, California, United States Microformats (μF) are a set of standardized HTML class names and attributes used to embed descriptive metadata within existing page content for entities such as people, events, reviews, and blog posts.	4.5%
6	Dublin Core Roseville, Minnesota, United States A metadata element set used to describe documents and other digital or physical resources in a standardized way.	1.5%
7	RDFa Cambridge, Massachusetts, United States An extension to HTML5 that embeds structured metadata within page content by adding attributes based on the RDF data model.	0.9%
8	Microformats2 San Francisco, California, United States The second generation of the Microformats specification designed to make publishing and parsing structured data in HTML easier for both authors and developers.	0.1%
9	GoodRelations Neubiberg, Germany A standardized vocabulary for product, price, store, and company data that can be embedded into web pages and processed by search engines and other data-consuming services.	0.1%
10	Product Ontology Neubiberg, Germany An e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.	0.09%
11	e-GMS London, United Kingdom A definition of the metadata elements that should be applied to public sector information assets.	0.03%

👉 See Also

🌎 Semantic Markup in other countries

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 186,836 websites from the United Kingdom.
We currently track the presence of 11 semantic markup formats across the web.
Of these, 11 were detected on websites from the United Kingdom.
Statistics were last calculated on October 20, 2026.
For more details, see our methodology and disclaimer.