2022 World Cup: Brazil champion of digital sustainability

The research by Karmametrix.com reveals the CO2 of national team websites at the World Cup: Brazil 1st for digital sustainability. England is only 23th.

Milan, November 16, 2022 – Who will win the 2022 World Cup? For now, we don’t know, but from the web sustainability point of view, the digital sustainability soccer world cup goes to Brazil. 

Each web page pollutes, causing CO2 emissions; to bring attention on the issue of “digital pollution”, KarmaMetrix.com calculated the emissions of CO2 caused by the websites home pages of the teams qualified for the FIFA World Cup in Qatar, simulating the World Cup scoreboard, with the groups and the crossings precisely as they will be in Qatar.

Among the qualified teams, the Brazilian Football federation website is the most sustainable one (55 kg of Co2 per year*), followed by Denmark and Germany (111 kg of Co2 per year* each) completing the podium with equal merit.
The last place in the digital sustainability ranking is occupied by United States (6,655 kg of Co2 per year *), followed by Canada (4,521 kg of Co2 per year *) and Switzerland (1,323 kg of Co2 per year *).

England, on the other hand, ranks only 23t, 705 kg of CO₂ emitted.

“Football is a global phenomenon. With the digital sustainability soccer world cup, we want to raise awareness about the fact that the web also pollutes and contributes to climate change, that affects every corner of our planet” comments Ale Agostini, founder of Karma Metrix. “These days COP 27 is taking place in Egypt and little is said about the Web, which would be the 4th country in the world in terms of CO2. Making digital objects more efficient and eco-sustainable means contributing to the fight against climate change. Football and sport can contribute and lead by example.”

Karma Metrix is the 1st digital sustainability journey chosen by top brands, that measures, compares and improves the environmental impact of a website. The measurement takes place through an innovative patented algorithm that takes into consideration multiple “on-page” elements of the web page that impact on energy efficiency. Each page analysed is compared with a benchmark. Finally, the improvement takes place through the identification of energy efficiency areas at page and site level.