The largest single layout shift on the typical site scores 0

LCP INP CLS

At a glance the headline numbers for Largest single shift

The single largest layout-shift score captured.

on the typical site

half of sites sit at or below

1 in 4 sites exceed this

the top quarter

the heaviest 1%

the long tail

65,852

sites measured

all-device field data

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

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

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

0ms 750ms 1500ms 2250ms 3000ms

2.5s

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 (≤2.5s) Needs improvement Poor (>4s) Site count

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

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

Largest single shiftSitesPassing LCPLCP

0 2,269 81% 1.5s

0–0 3,649 83% 1.5s

0–0.001 3,383 82% 1.5s

0.001–0.002 3,811 83% 1.6s

0.002–0.004 4,303 84% 1.5s

0.004–0.009 5,739 83% 1.5s

0.009–0.023 7,589 82% 1.5s

0.023–0.057 8,828 82% 1.5s

0.057–0.142 10,195 82% 1.6s

0.142–0.352 9,013 82% 1.6s

0.352–0.872 5,801 80% 1.6s

>p98 1,272 75% 1.7s

Good Needs Improvement Poor Faded rows: under 100 sites

Largest single shift 0.0. p75 0.1. p99 1.0. At the low end (0): LCP 1.5s. At the high end (>p98): LCP 1.7s. computed

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

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, 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 94,910 sites, representing millions of real page loads · How we measured