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The Most Common Website Languages on the Internet

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English has become the de facto language of the internet, with a far greater presence online than any other language.

However, the most common languages on the web don’t necessarily reflect the number of people who speak them natively.

This graphic visualizes the most commonly used languages for URLs compared with their share of native speakers worldwide, based on 2025 data from Ethnologue via both the World Bank and Britannica.

English is the Most Common URL Language

Dive into the data below:

German comes in second place, making up 7% of URLs, despite having the smallest share of native speakers among the languages listed in the data. Just 0.9% of people speak it natively. In addition to Germany, the language is spoken in Austria, Switzerland, and some areas of Italy and other neighboring European countries.

Some 6% of URLs are written in Russian, while 1.8% of the population speaks it natively, largely concentrated in former Soviet Union countries.

Interestingly, Chinese is one of the most widely spoken languages in the world, with 16.3% of the global population speaking it natively (primarily Mandarin). However, just 5% of URLs are written in the language.

Spanish is also underrepresented relative to its native-speaking population, accounting for 4% of URLs compared with 5.9% of global native speakers.

Some 21% of URLs fall under “other,” meaning many languages appear on only a small number of websites. Outside of the languages listed above, along with Japanese and French, other mother tongues make up 68.1% of the global population.

Creating a Multilingual Internet

The lack of languages online can isolate or limit those who don’t speak English, German, Russian, or other common languages. This is particularly problematic for Indigenous communities, whose culture is often flattened by technology.

There are efforts to increase representation as a form of digital inclusion. For example, the foundation that runs Wikipedia launched a page translator to help build up a non-English catalogue back in 2015, while UNESCO and the Internet Corporation for Assigned Names and Numbers (ICANN) are working to increase linguistic diversity in hopes of creating a more multilingual internet.

This dataset looks at the language of URLs, which can indicate the origin of a webpage. When looking at languages of the pages themselves, the data shifts slightly to include languages such as Turkish and Persian.

Learn More on the Voronoi App

To learn more about languages online, check out this graphic which charts the digital divide.

Ranked: The Countries With the Most Supercomputers

See visuals like this from many other data creators on our Voronoi app. Download it for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Supercomputers are used for everything from weather forecasting and high-powered simulations to artificial intelligence and defense.

The number of supercomputers a country has gives an indication of their technological and economic positioning, and how they prioritize frontier research.

This graphic ranks the countries with the most supercomputers, and the data comes from TOP500’s November 2025 list.

Which Countries Have the Most Supercomputers?

The U.S., the birthplace of supercomputers, dominates the list at 171. The figure is four times higher the number of supercomputers Japan has, which comes in second place at 43.

The data table below shows the number of supercomputers per country as of November 2025:

China and Germany trail closely, tied in third and fourth place at 40 supercomputers.

The ranking is significantly top-heavy, as the top three countries have more supercomputers than all the other 43 countries combined. In total, 26 countries have five or fewer supercomputers each, while 11 have just one supercomputer.

It is not necessarily smaller countries that have fewer supercomputers. Singapore, for example, has the same number as Russia and India at five. The Singaporean government recently launched a supercomputing hub as it looks to become Southeast Asia’s AI leader.

Increasing AI-Driven Supercomputer Demand

Demand for supercomputers is increasing alongside AI, which requires massive computational power to be trained and run, which far surpass what regular computers are capable of.

There are different types of supercomputers but generally they can crunch vast and complex datasets at speed, far surpassing humanity’s capabilities. By outputting useful information, supercomputers are used to make decisions across health, climate, and material science, which is why they are tipped to hold the key to some of society’s greatest challenges.

Nordic countries actually share access to their supercomputers in efforts to “enable excellence” and contribute towards the UN’s sustainable Development Goals.

The Finland-based LUMI supercomputer, the ninth most powerful in the world, was set up specifically with this in mind; it is hosted by a consortium of 10 countries, including the Nordics and their neighbor Estonia, to share resources and increase researcher access to some of the world’s most powerful computers.

The EU-funded RAISE center was set to develop novel AI technologies that can run effectively on supercomputers, while the U.S. is ramping up partnerships with AI companies to stack its national labs with powerful compute clusters.

Learn More on the Voronoi App

To learn more about supercomputers, check out this graphic on Voronoi which breaks down the largest computing clusters.