Hi CrUX users,
This is your monthly announcement that the latest dataset has been published to BigQuery.
The 202308 (August 2023) dataset is now available and it covers 18,263,523 origins, an increase of 1.6% over last month. Here’s a look at origins' Core Web Vitals performance this month:
58.3% of origins had good LCP
95.8% of origins had good FID
74.4% of origins had good CLS
45.3% of origins had good LCP, CLS and FID
77.6% of origins had good INP
41.6% of origins had good LCP, CLS and INP
We’re seeing continual improvements across most of the metrics which seem to be driven by the following changes:
Chrome started to roll out a change to increase image priority from low to medium for the first 5 images which may have improved LCP and CLS (testing showed less impact on LCP, and more on CLS).
Chrome made a change for LCP for animated image formats (for example, GIFs) which now measure the first frame rather than the full image load time as the LCP time. This is expected to improve the LCP for the small number of sites that have animated images as LCP elements.
Chrome made another change for LCP whereby video elements are now considered as LCP element candidates. Previously they were only considered with a poster image. As videos are typically larger resources to download, this is expected to deteriorate the LCP for the small number of sites that have videos as LCP elements.
Note that all of these changes are still rolling out so the full effect of all these changes has not been seen yet and hopefully we will see further improvements next month too.
On a less positive note, INP pass rates remained static, showing it’s a more tricky metric to optimize for.
Please find our documentation at https://developer.chrome.com/docs/crux/.
If you have any questions about CrUX, feel free to reach out to us on any of these channels:
chrome-ux-report on Google Groups
@ChromeUXReport on Twitter
questions tagged with chrome-ux-report on StackOverflow
GoogleChrome/CrUX on GitHub
Hi Barry,This is great, thank you so much. I have a quick question maybe you can assist me. I would like to pull a report using BigQuery SQL that would show me the breakdown of the 58.3% good lcp but need it by Country and device. If I can include the origins that would be fantastic. I looked in the Github and found something close to what i need by its for the fcp (subregion-fast-fcp.sql) :(I was able to pull origin, country device and p75_lcp. but i don't think that is correct because the numbers/avg don't match the 58.3% you guys have and i don't want to give wrong data. If you can please help me that would be greatly appreciated.Shimaa