The State of Web Vitals

Largest single shift

The single largest layout-shift score captured.

Field data PhoneDesktopAll Scope All sites Q1 2026 edition · Phone field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for Largest single shift

The single largest layout-shift score captured.

0
on the typical site
half of sites sit at or below
0
1 in 4 sites exceed this
the top quarter
1
the heaviest 1%
the long tail
65,852
sites measured
phone field data

The largest single layout shift on the typical site scores 0.

The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
2

Distribution & median CLS site count and median CLS at each level of largest single shift

0.00 0.04 0.08 0.11 0.15
0.1
0 5098 10195
0 0–0 0–0.001 0.001–0.002 0.002–0.004 0.004–0.009 0.009–0.023 0.023–0.057 0.057–0.142 0.142–0.352 0.352–0.872 >p98
Good (≤0.1) Needs improvement Poor (>0.25) Site count
The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
3

Passing CLS by largest single shift which level passes the CLS most often

Largest single shiftSitesPassing CLSCLS
0 2,269 94% 0.00
0–0 3,649 95% 0.00
0–0.001 3,383 94% 0.00
0.001–0.002 3,811 94% 0.00
0.002–0.004 4,303 94% 0.00
0.004–0.009 5,739 93% 0.00
0.009–0.023 7,589 91% 0.00
0.023–0.057 8,828 91% 0.00
0.057–0.142 10,195 83% 0.00
0.142–0.352 9,013 78% 0.00
0.352–0.872 5,801 74% 0.01
>p98 1,272 71% 0.01
Good Needs Improvement Poor Faded rows: under 100 sites

Largest single shift 0.0. p75 0.1. p99 1.0. Spearman with CLS r = +0.34. At the low end (0): CLS 0.00. At the high end (>p98): CLS 0.01. computed

The State of Web Vitals · Q1 2026 · 94,910 sites · phone field datacorewebvitals.io/state-of-cwv
4

Why this matters for the Core Web Vitals, and where to start fixing it

A layout shift score multiplies how much of the viewport moved by how far it moved. One full-width block jumping down can fail the CLS threshold on its own. The largest single shift tells you whether a site has that one dominant event or death by a thousand small ones.

If the largest shift carries most of the total, the work is finding one element. The usual suspects: a hero image without dimensions, a banner injected above the content, a font swap that reflows the page. Reserve the space that element needs and the problem is gone.

How does this affect the Core Web Vitals?

Largest shift is part of the CLS itself, so this is arithmetic, not correlation. Where the largest shift is low, 94% of sites pass the CLS. Where it is high, 71% do. The decline is gradual. There is no point where sites suddenly start failing.

Go fix it CLS from images and media → Fix layout shift from auto-sizing images → Keep text visible during font load →
Related signals Shift direction → What shifted → Layout shift count → Shift concentration → Chrome field data from 94,910 sites, representing millions of real page loads · How we measured