The State of Web Vitals

Largest single shift

The single largest layout-shift score captured.

Field data PhoneDesktopAll Scope All sites Q1 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
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
2

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

0ms 63ms 125ms 188ms 250ms
200ms
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 (≤200ms) Needs improvement Poor (>500ms) Site count
The State of Web Vitals · Q1 2026 · 94,910 sites · all devices field datacorewebvitals.io/state-of-cwv
3

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

Largest single shiftSitesPassing INPINP
0 2,269 95% 85ms
0–0 3,649 96% 86ms
0–0.001 3,383 96% 86ms
0.001–0.002 3,811 95% 87ms
0.002–0.004 4,303 95% 87ms
0.004–0.009 5,739 96% 86ms
0.009–0.023 7,589 95% 87ms
0.023–0.057 8,828 95% 87ms
0.057–0.142 10,195 95% 87ms
0.142–0.352 9,013 95% 87ms
0.352–0.872 5,801 95% 89ms
>p98 1,272 96% 89ms
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): INP 85ms. At the high end (>p98): INP 89ms. computed

The State of Web Vitals · Q1 2026 · 94,910 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, 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