The State of Web Vitals

Shift concentration

How concentrated the shifting is: largest shift over total shift.

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

At a glance the headline numbers for Shift concentration

How concentrated the shifting is: largest shift over total shift.

1
on the typical site
half of sites sit at or below
1
1 in 4 sites exceed this
the top quarter
6
the heaviest 1%
the long tail
121,427
sites measured
phone field data

On the typical site, the largest single shift causes 1 of all layout shift.

The State of Web Vitals · October 2026 · 190,720 sites · phone field datacorewebvitals.io/state-of-cwv
2

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

0ms 750ms 1500ms 2250ms 3000ms
2.5s
0 40765 81530
0.2–0.252 0.252–0.317 0.317–0.399 0.399–0.503 0.503–0.634 0.634–0.798 0.798–1 1–1.27 1.27–1.59 1.59–2.01 >p98
Good (≤2.5s) Needs improvement Poor (>4s) Site count
The State of Web Vitals · October 2026 · 190,720 sites · phone field datacorewebvitals.io/state-of-cwv
3

Passing LCP by shift concentration which level passes the LCP most often

Shift concentrationSitesPassing LCPLCP
0.2–0.252 611 76% 1.7s
0.252–0.317 1,082 82% 1.6s
0.317–0.399 2,566 81% 1.5s
0.399–0.503 6,966 79% 1.7s
0.503–0.634 11,220 79% 1.7s
0.634–0.798 13,740 80% 1.6s
0.798–1 81,530 82% 1.6s
1–1.27 460 73% 1.7s
1.27–1.59 433 79% 1.7s
1.59–2.01 390 79% 1.7s
>p98 2,429 78% 1.7s
Good Needs Improvement Poor Faded rows: under 100 sites

Shift concentration 1.0. p75 1. p99 6.2. At the low end (0.2–0.252): LCP 1.7s. At the high end (>p98): LCP 1.7s. computed

The State of Web Vitals · October 2026 · 190,720 sites · phone field datacorewebvitals.io/state-of-cwv
4

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

Two sites can have the same CLS for opposite reasons. One has a single big jump. The other moves a little, everywhere, all the time. This ratio separates them: the largest shift divided by the total. Close to one means one event causes nearly all the damage. Find that element, reserve its space, and the score follows.

A low concentration is the harder case. No single shift looks bad, but they add up. That pattern points at scroll-triggered animations, CSS transitions on layout properties, or content that streams in piece by piece. There is no one bug to fix, so it needs a structural pass instead of a patch.

How does this affect the Core Web Vitals?

Shift concentration is part of the CLS itself, so this is arithmetic, not correlation. Where the shift concentration is low, 89% of sites pass the CLS. Where it is high, 74% do. The decline is gradual. There is no point where sites suddenly start failing.

Go fix it Scroll-triggered animations cause CLS → Layout shift caused by CSS transitions → Identify and fix CLS →
Related signals Largest single shift → Layout shift count → Shift direction → What shifted → Chrome field data from 190,720 sites, representing millions of real page loads · How we measured