Image dimensions set
Whether images declare width/height or aspect-ratio - the classic CLS guard.
At a glance the headline numbers for Image dimensions set
Whether images declare width/height or aspect-ratio - the classic CLS guard.
54.2% of images declare no dimensions at all.
The image dimensions set mix who uses what, and how stable each group is
Image dimensions set. On the fleet: 54.2% has none, 44.3% has dimensions, 1.5% has aspect ratio. 79.3% of sites use at least one has_none.
Lowest-share bucket: CLS 0.00. Highest-share bucket: CLS 0.00. r = +0.45.
Passing CLS per bucket every category and count level at once - color is the pass rate
Each row is a category, each column its own count bucket (few on the left, many on the right); the cell is the share of those sites passing CLS.
Has none swings the hardest: 91% of sites pass CLS with few, 85% with many. computed
Few vs many - does quantity cost CLS? the pass rate with few vs many of each category
Per category: the pass rate among pages with FEW of it (hollow ring) against pages with MANY (solid dot), worst trend first. Thin buckets are excluded from the endpoints.
More Has none costs the most: the CLS pass rate falls from 91% with few to 85% with many. computed
Why this matters for the Core Web Vitals, and where to start fixing it
Width and height on an img are not about sizing the image. They are about reserving its space. The browser knows the aspect ratio before the file arrives, lays out a right-sized box, and the image lands without moving anything. Without them the image arrives, the box inflates, and the content below jumps.
This is the cheapest CLS fix that exists. Modern CSS keeps the image responsive anyway (height auto), so the old reason for dropping the attributes is gone.
How does this affect the Core Web Vitals?
Of the 3 categories, Has aspect ratio separates passing sites from failing sites the most. Where Has aspect ratio is rare: 89% pass the CLS. Where it is common: 82%.
Chrome field data from 94,910 sites, representing millions of real page loads. How we measured.