Total Blocking Time (lab)

Total Blocking Time on the lab crawl.

Field data PhoneDesktopAll Scope All sites Q2 2026 edition · Desktop field outcomes
Metric LCP INP CLS
1

At a glance the headline numbers for Total Blocking Time (lab)

Total Blocking Time on the lab crawl.

16ms
on the typical site
half of sites sit at or below
172ms
1 in 4 sites exceed this
the top quarter
6.5s
the heaviest 1%
the long tail
185,271
sites measured
desktop field data

The typical site blocks the main thread for 16ms during the lab load.

The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
2

Distribution & median CLS site count and median CLS at each level of total Blocking Time (lab)

0.00 0.04 0.08 0.11 0.15
0.1
0 38881 77761
0 0.01–0.038 0.038–0.142 0.142–0.534 0.534–2.01 2.01–7.57 7.57–28.5 28.5–107 107–404 404–1522 1522–5733 >p98
Good (≤0.1) Needs improvement Poor (>0.25) Site count
The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
3

Passing CLS by total Blocking Time (lab) which level passes the CLS most often

Total Blocking Time (lab)SitesPassing CLSCLS
0 77,761 82% 0.02
0.038–0.142 156 76% 0.02
0.142–0.534 441 81% 0.02
0.534–2.01 1,727 81% 0.02
2.01–7.57 5,822 79% 0.03
7.57–28.5 14,177 78% 0.03
28.5–107 27,525 77% 0.03
107–404 29,452 75% 0.04
404–1522 18,766 75% 0.04
1522–5733 7,271 73% 0.04
>p98 2,151 72% 0.05
Good Needs Improvement Poor Faded rows: under 100 sites

Total Blocking Time (lab) 16ms. p75 172ms. p99 6.5s. At the low end (0ms): CLS 0.02. At the high end (>p98): CLS 0.05. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · desktop field datacorewebvitals.io/state-of-cwv
4

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

Total Blocking Time counts the parts of long tasks where a click would have waited. It is the lab stand-in for INP: a crawler does not click, so instead we measure how often the main thread was too busy to answer if someone had.

High TBT with good field INP usually means real visitors interact after the dust settles. The risk lives in the early click, the visitor who taps the menu while the tag pile is still booting. The fix list is the script list: less of it, later, in smaller pieces.

How does this affect the Core Web Vitals?

Blocking time correlates with the CLS. Where the blocking time is low, 82% of sites pass the CLS. Where it is high, 72% do. The decline is gradual. There is no point where sites suddenly start failing.

The effect is bigger on LCP. Where the blocking time is low, 90% of sites pass it. Where it is high, 77% do.

Related signals Main-thread CPU (lab) → Lab paint timeline → Document lifecycle (lab) → Chrome field data from 189,915 sites, representing millions of real page loads · How we measured