HomeSeoUnited StatesCore Web Vitals Pass Rate Statistics in United States (2026)

Core Web Vitals Pass Rate Statistics in United States (2026)

Updated March 2026 · United States · Seo
87%
Average Core Web Vitals Pass Rate
United States
E-commerce (92%)
Top Performing Industry
Highest pass rates among industries
2.3 seconds
Average Load Time (Desktop)
Mainstream US websites
3.4 seconds
Average Load Time (Mobile)
Mobile optimized sites in the US
78%
Percentage of Websites with Good CLS Score
Cumulative site stability in the US

By 2026, the US has seen a significant increase in Core Web Vitals pass rates, with 87% of websites meeting the standards. The e-commerce industry leads with a 92% success rate, reflecting the focus on user experience for online shoppers. Desktop load times have improved to an average of 2.3 seconds, enhancing user satisfaction, although mobile speeds still lag slightly behind, averaging 3.4 seconds.

This progress is driven by increased adoption of performance optimization tools and stricter SEO standards. As US websites prioritize user experience, the overall digital landscape becomes faster and more stable, benefiting both consumers and businesses. Continued efforts in web performance are expected to further boost these metrics in the coming years.

Frequently Asked Questions

What are Core Web Vitals?

Core Web Vitals are key metrics by Google measuring website speed, stability, and responsiveness to improve user experience.

Why are Core Web Vitals important for SEO?

Good Core Web Vitals scores can boost search rankings and reduce bounce rates, leading to better visibility and user engagement.

SR

StateGlobe Research

The StateGlobe Research team analyzes digital marketing, SEO, and web technology trends across 200 countries. Our 2026 projections are based on industry reports, historical data patterns, and expert analysis.

Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.