Layout shift count

How many layout shifts were captured during load.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · Phone 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
39
the heaviest 1%
the long tail
185,146
sites measured
phone field data

The typical page shifts 1 time while loading.

The State of Web Vitals · Q2 2026 · 189,915 sites · phone 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 29868 59735
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 · Q2 2026 · 189,915 sites · phone 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 59,735 84% 1.5s
1 43,936 84% 1.5s
2 29,185 82% 1.6s
3 15,480 79% 1.6s
4 8,279 79% 1.7s
5–6 6,779 76% 1.7s
7–8 3,107 74% 1.8s
9–12 4,520 76% 1.7s
13–17 4,299 78% 1.7s
18–24 4,678 75% 1.8s
25–34 2,767 78% 1.7s
>p98 2,381 80% 1.7s
Good Needs Improvement Poor Faded rows: under 100 sites

Layout shift count 1. p75 3. p99 39. At the low end (0): LCP 1.5s. At the high end (>p98): LCP 1.7s. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · phone 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, 93% of sites pass the CLS. With many, 73% 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 189,915 sites, representing millions of real page loads · How we measured