The State of Web Vitals

Largest single shift

The single largest layout-shift score captured.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · All devices 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
125,411
sites measured
all-device field data

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

The State of Web Vitals · Q2 2026 · 189,915 sites · all devices 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 9738 19476
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 0.142–0.353 0.353–0.874 >p98
Good (≤0.1) Needs improvement Poor (>0.25) Site count
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices 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 4,248 95% 0.00
0–0 6,918 94% 0.00
0–0.001 6,320 94% 0.00
0.001–0.002 7,168 94% 0.00
0.002–0.004 8,203 93% 0.00
0.004–0.009 10,821 93% 0.00
0.009–0.023 14,503 91% 0.00
0.023–0.057 16,947 90% 0.01
0.057–0.142 19,476 82% 0.02
0.142–0.353 17,367 75% 0.02
0.353–0.874 11,013 68% 0.03
>p98 2,427 59% 0.06
Good Needs Improvement Poor Faded rows: under 100 sites

Largest single shift 0.0. p75 0.1. p99 1.0. Spearman with CLS r = +0.35. At the low end (0): CLS 0.00. At the high end (>p98): CLS 0.06. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · all devices 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, 95% of sites pass the CLS. Where it is high, 59% 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 189,915 sites, representing millions of real page loads · How we measured