Layout shift count

How many layout shifts were captured during load.

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

At a glance the headline numbers for Layout shift count

How many layout shifts were captured during load.

1
on the typical site
half of sites sit at or below
3
1 in 4 sites exceed this
the top quarter
40
the heaviest 1%
the long tail
94,847
sites measured
desktop field data

The typical page shifts 1 time while loading.

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

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

0ms 750ms 1500ms 2250ms 3000ms
2.5s
0 14498 28995
0 1 2 3 4 5–6 7–8 9–12 13–17 18–24 25–34 >p98
Good (≤2.5s) Needs improvement Poor (>4s) Site count
The State of Web Vitals · Q1 2026 · 94,910 sites · desktop field datacorewebvitals.io/state-of-cwv
3

Passing LCP by layout shift count which level passes the LCP most often

Layout shift countSitesPassing LCPLCP
0 28,995 87% 1.3s
1 23,237 87% 1.3s
2 15,348 86% 1.4s
3 8,201 85% 1.4s
4 4,324 85% 1.5s
5–6 3,519 83% 1.5s
7–8 1,543 83% 1.6s
9–12 2,320 82% 1.6s
13–17 2,196 83% 1.5s
18–24 2,412 82% 1.5s
25–34 1,483 87% 1.5s
>p98 1,269 85% 1.5s
Good Needs Improvement Poor Faded rows: under 100 sites

Layout shift count 1. p75 3. p99 40. At the low end (0): LCP 1.3s. At the high end (>p98): LCP 1.5s. computed

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

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

The count says how often the page moves, not how far. A page with two shifts has two causes to find. A page with dozens shifts as a habit: lazy content arriving without reserved space, animations that run through layout properties, widgets that resize themselves after load.

CLS sums every shift inside a session window, so many small movements fail the threshold even when no single jump looks bad. When the count is high and the largest shift is small, stop hunting for one bug. Audit the patterns instead.

How does this affect the Core Web Vitals?

Layout shifts is part of the CLS itself, so this is arithmetic, not correlation. With few layout shifts, 84% of sites pass the CLS. With many, 66% do. The decline is gradual. There is no point where sites suddenly start failing.

Related signals What shifted → Shift direction → Largest single shift → Shift concentration → Chrome field data from 94,910 sites, representing millions of real page loads · How we measured