Core Web Vitals performance differs substantially by metric. From September 2025 through August 2026, Chrome UX Report (CrUX) data showed good results for 53.7% to 56.5% of origins overall, while the individual metric rates ranged from 66.8% to 69.0% for LCP, 80.1% to 81.6% for CLS, and 85.3% to 87.2% for INP. These figures describe CrUX origins and the stated measurement months; they are not a direct score for every website.
Contents
- Overall Core Web Vitals pass rates
- Largest Contentful Paint statistics
- Cumulative Layout Shift statistics
- Interaction to Next Paint statistics
- Metric comparison across the period
- Core Web Vitals threshold benchmarks
Overall Core Web Vitals pass rates
The overall CrUX origin rate stayed below 60% throughout the supplied period. In September 2025, 53.7% of CrUX origins had good Core Web Vitals, according to the Chrome UX Report release notes. The rate rose to 54.4% in October and 54.6% in November, before returning to 54.4% in December.
The first months of 2026 were stronger. January reached 55.7%, February reached 55.8%, and March reached the period high of 56.5%. April was nearly unchanged at 56.4%. The rate then moved down to 55.9% in May and 55.3% in June, followed by 55.7% in July and 55.6% in August.
| Measurement month | CrUX origins with good Core Web Vitals |
|---|---|
| September 2025 | 53.7% |
| December 2025 | 54.4% |
| March 2026 | 56.5% |
| June 2026 | 55.3% |
| August 2026 | 55.6% |
The monthly series shows movement within a relatively narrow band, but the overall result is lower than each individual metric’s rate. That difference matters when interpreting a headline pass-rate statistic: the combined outcome is stricter than looking at only one metric. A site can have a high pass rate for one experience dimension and still fall short overall.
The complete monthly sequence is 53.7% in September 2025, 54.4% in October, 54.6% in November, 54.4% in December, 55.7% in January 2026, 55.8% in February, 56.5% in March, 56.4% in April, 55.9% in May, 55.3% in June, 55.7% in July, and 55.6% in August. These are reported period-specific observations from the Chrome UX Report release notes.
Largest Contentful Paint statistics
Largest Contentful Paint, or LCP, had the lowest individual metric pass rate in every month listed. The Chrome UX Report release notes reported that 66.8% of CrUX origins had good LCP in September 2025. The rate increased to 67.7% in October and 68.0% in November, then eased to 67.6% in December.
During 2026, good LCP reached 68.3% in January and was 68.2% in February. March produced the high point at 69.0%, followed by 68.9% in April and 68.6% in May. The rate fell to 67.7% in June, recovered to 68.3% in July, and ended the supplied period at 68.1% in August.
The LCP series therefore remained between 66.8% and 69.0% across the twelve months. Its highest reported month was March 2026, while its lowest was September 2025. The monthly changes do not establish a cause; they simply describe how the reported share of origins with good LCP varied over the measurement period.
Google defines good LCP as 2,500 milliseconds or less at the 75th percentile. This threshold definition was updated May 7, 2025, according to How the Core Web Vitals metrics thresholds were defined. The same source classifies LCP as poor when it is above 4,000 milliseconds at the 75th percentile.
Cumulative Layout Shift statistics
Cumulative Layout Shift, or CLS, produced a higher good-origin rate than LCP in every supplied month. In September 2025, 80.1% of CrUX origins had good CLS. The rate was 80.3% in October, 80.2% in November, and 80.3% in December, as reported in the Chrome UX Report release notes.
The CLS rate improved to 80.9% in January 2026 and 81.3% in February. It was 81.2% in March, 81.3% in April, and 81.3% again in May. June reached 81.4%, July reached the period high of 81.6%, and August ended at 81.5%.
Across the full period, the CLS range was only 1.5 percentage points, from 80.1% to 81.6%. The highest reported rate occurred in July 2026, and the lowest occurred in September 2025. The sequence indicates consistently strong CLS performance among the measured origins relative to the other individual metrics in this dataset.
Google defines good CLS as a score of 0.1 or less at the 75th percentile. The threshold definition, updated May 7, 2025, is documented in How the Core Web Vitals metrics thresholds were defined. Google classifies CLS as poor when its score is above 0.25 at the 75th percentile.
Interaction to Next Paint statistics
Interaction to Next Paint, or INP, had the highest individual good-origin rate in all twelve months. In September 2025, 86.0% of CrUX origins had good INP. The rate was 85.9% in October, 86.2% in November, and 85.6% in December, according to the Chrome UX Report release notes.
The first two months of 2026 were the strongest in the series: 87.1% of origins had good INP in January and 87.2% in February. March also measured 87.2%, while April measured 87.1%. The rate then declined to 86.6% in May, 85.9% in June, 85.7% in July, and 85.3% in August.
INP therefore ranged from 85.3% to 87.2%. Its high point was shared by February and March 2026, while August recorded the low point. The late-period decline does not by itself identify a technical reason, and the reported figures should be read as monthly CrUX origin rates rather than as a diagnosis of individual pages.
Google defines good INP as 200 milliseconds or less at the 75th percentile. This definition was updated May 7, 2025, in How the Core Web Vitals metrics thresholds were defined. Google classifies INP as poor when it is above 500 milliseconds at the 75th percentile.
Metric comparison across the period
The three individual metrics show a clear ordering in the reported data: INP had the highest good-origin rate, CLS was next, and LCP was lowest. This ordering held in September 2025 and in every month through August 2026.
| Metric | Lowest monthly rate | Highest monthly rate | High month or months |
|---|---|---|---|
| LCP | 66.8% | 69.0% | March 2026 |
| CLS | 80.1% | 81.6% | July 2026 |
| INP | 85.3% | 87.2% | February and March 2026 |
The gap between the highest and lowest individual metric rates was 19.2 percentage points at the beginning of the period: INP was 86.0% in September 2025 and LCP was 66.8%. In August 2026, INP was 85.3% and LCP was 68.1%, a 17.2-percentage-point difference. These are direct comparisons of reported monthly rates, not estimates of the number of origins represented by each percentage.
The overall rate remained below the individual metric rates because the overall result represents good Core Web Vitals rather than a single metric. The reported overall high was 56.5% in March 2026, even though the same month showed 69.0% good LCP, 81.2% good CLS, and 87.2% good INP. The figures should therefore be kept in their original categories when evaluating site performance.
Core Web Vitals threshold benchmarks
Google’s thresholds define the boundaries used to describe good and poor experiences at the 75th percentile. The good thresholds supplied for the three metrics are 2,500 milliseconds or less for LCP, 0.1 or less for CLS, and 200 milliseconds or less for INP. The corresponding poor thresholds are above 4,000 milliseconds for LCP, above 0.25 for CLS, and above 500 milliseconds for INP. These definitions come from How the Core Web Vitals metrics thresholds were defined, updated May 7, 2025.
| Metric | Good threshold at the 75th percentile | Poor threshold at the 75th percentile |
|---|---|---|
| LCP | 2,500 milliseconds or less | Above 4,000 milliseconds |
| CLS | 0.1 or less | Above 0.25 |
| INP | 200 milliseconds or less | Above 500 milliseconds |
A page or site is classified as good for a metric when at least 75% of page views meet that metric’s good threshold. It is classified as poor for a metric when at least 25% of page views meet that metric’s poor threshold. Those rules explain why a reported good-origin percentage is not the same thing as an average score: the classification depends on the share of page views meeting the applicable boundary.
The thresholds also provide context for the CrUX rates. LCP, CLS, and INP percentages describe how many measured origins had good results for each metric, while the benchmark table describes the measurement boundaries used for those labels. Keeping the period, geography, metric, percentile, and classification rule explicit prevents the rates from being mistaken for universal website averages or for measurements taken from one individual site.