The State of Web Vitals

Media per page

Audio and video elements on the page and their weight.

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

At a glance the headline numbers for Media per page

Audio and video elements on the page and their weight.

0
media count
on the typical page
39 KB
media weight
on the typical page
2.8 MB
1 in 4 pages exceed this
media weight
190,130
sites measured
all-device field data

The typical page embeds 0 media files.

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

Distribution & median CLS site count and median CLS at each level of media per page — n

0.00 0.04 0.08 0.11 0.15
0.1
0 86073 172146
0–0 1+
Good (≤0.1) Needs improvement Poor (>0.25) Site count
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
3

Passing CLS by media per page — n which level passes the CLS most often

Media per page — nSitesPassing CLSCLS
0–0 172,146 88% 0.00
1+ 17,984 87% 0.00
Good Needs Improvement Poor Faded rows: under 100 sites

Media per page — n 0. p75 0. p99 6. At the low end (0–0): CLS 0.00. At the high end (1+): CLS 0.00. computed

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

Distribution & median CLS site count and median CLS at each level of media per page — size

0.00 0.04 0.08 0.11 0.15
0.1
0 5849 11698
0–499 500–999 1000–1499 1500–1999 2000–2499 2500–2999 3000–3499 3500–3999 4000–4499 4500–4999 5000–5499 5500–5999 6000–6499 6500–6999 7000–7499 7500–7999 8000–8499 8500–8999 9000–9499 9500–9999 10000–10499 10500+
Good (≤0.1) Needs improvement Poor (>0.25) Site count
The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
5

Passing CLS by media per page — size which level passes the CLS most often

Media per page — sizeSitesPassing CLSCLS
0–499 11,698 87% 0.00
500–999 392 89% 0.01
1000–1499 373 87% 0.00
1500–1999 371 90% 0.00
2000–2499 333 89% 0.00
2500–2999 389 92% 0.00
3000–3499 338 89% 0.00
3500–3999 276 91% 0.00
4000–4499 267 92% 0.00
4500–4999 201 86% 0.01
5000–5499 206 87% 0.00
5500–5999 215 83% 0.01
6000–6499 174 87% 0.00
6500–6999 160 89% 0.01
7000–7499 157 89% 0.01
7500–7999 136 84% 0.00
8000–8499 113 85% 0.00
8500–8999 130 92% 0.01
9000–9499 105 89% 0.00
9500–9999 112 85% 0.00
10000–10499 70 88% 0.00
10500+ 1,768 85% 0.01
Good Needs Improvement Poor Faded rows: under 100 sites

Media per page — size 39 KB. p75 2.8 MB. p99 44.4 MB. At the low end (0–499 KB): CLS 0.00. At the high end (10500+ KB): CLS 0.01. computed

The State of Web Vitals · Q2 2026 · 189,915 sites · all devices field datacorewebvitals.io/state-of-cwv
6

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

When audio or video is present, it outweighs everything else on the page. An autoplaying background video competes with the LCP image for bandwidth at the worst moment, and on phones it burns data the visitor never asked for.

A poster image carries the experience until the visitor opts in. It loads like an image, it can be the LCP candidate, and the video starts on interaction. Autoplay hero video is the expensive way to do what a good photo does.

Go fix it Perfect YouTube Core Web Vitals → Page speed on a budget →
Related signals Stylesheets per page → Script initiator → Image dimensions set → Image source mix → Chrome field data from 189,915 sites, representing millions of real page loads · How we measured
Live queries (4) — admin only
Query #1: 93.6 ms 
SELECT COUNT(*) AS count,
            quantile_disc(m.media.total.n, 0.10) AS p10,
            quantile_disc(m.media.total.n, 0.25) AS p25,
            quantile_disc(m.media.total.n, 0.50) AS p50,
            quantile_disc(m.media.total.n, 0.75) AS p75,
            quantile_disc(m.media.total.n, 0.90) AS p90,
            quantile_disc(m.media.total.n, 0.99) AS p99
            FROM sites WHERE m.media.total.n IS NOT NULL;
Query #2: 91.0 ms 
SELECT CASE WHEN m.media.total.n >= 0 AND m.media.total.n < 1 THEN 0 WHEN m.media.total.n >= 1 THEN 1 END AS bucket_idx, COUNT(*) AS n,
            quantile_disc(crux."all".cls, 0.5) AS median,
            COUNT(*) FILTER (WHERE crux."all".cls IS NOT NULL AND crux."all".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE crux."all".cls IS NOT NULL), 0) AS good_pct
            FROM sites WHERE m.media.total.n IS NOT NULL GROUP BY bucket_idx;
Query #3: 188.2 ms 
SELECT COUNT(*) AS count,
            quantile_disc(m.media.total.size, 0.10) AS p10,
            quantile_disc(m.media.total.size, 0.25) AS p25,
            quantile_disc(m.media.total.size, 0.50) AS p50,
            quantile_disc(m.media.total.size, 0.75) AS p75,
            quantile_disc(m.media.total.size, 0.90) AS p90,
            quantile_disc(m.media.total.size, 0.99) AS p99
            FROM sites WHERE m.media.total.size IS NOT NULL;
Query #4: 181.6 ms 
SELECT CASE WHEN m.media.total.size >= 0 AND m.media.total.size < 500 THEN 0 WHEN m.media.total.size >= 500 AND m.media.total.size < 1000 THEN 1 WHEN m.media.total.size >= 1000 AND m.media.total.size < 1500 THEN 2 WHEN m.media.total.size >= 1500 AND m.media.total.size < 2000 THEN 3 WHEN m.media.total.size >= 2000 AND m.media.total.size < 2500 THEN 4 WHEN m.media.total.size >= 2500 AND m.media.total.size < 3000 THEN 5 WHEN m.media.total.size >= 3000 AND m.media.total.size < 3500 THEN 6 WHEN m.media.total.size >= 3500 AND m.media.total.size < 4000 THEN 7 WHEN m.media.total.size >= 4000 AND m.media.total.size < 4500 THEN 8 WHEN m.media.total.size >= 4500 AND m.media.total.size < 5000 THEN 9 WHEN m.media.total.size >= 5000 AND m.media.total.size < 5500 THEN 10 WHEN m.media.total.size >= 5500 AND m.media.total.size < 6000 THEN 11 WHEN m.media.total.size >= 6000 AND m.media.total.size < 6500 THEN 12 WHEN m.media.total.size >= 6500 AND m.media.total.size < 7000 THEN 13 WHEN m.media.total.size >= 7000 AND m.media.total.size < 7500 THEN 14 WHEN m.media.total.size >= 7500 AND m.media.total.size < 8000 THEN 15 WHEN m.media.total.size >= 8000 AND m.media.total.size < 8500 THEN 16 WHEN m.media.total.size >= 8500 AND m.media.total.size < 9000 THEN 17 WHEN m.media.total.size >= 9000 AND m.media.total.size < 9500 THEN 18 WHEN m.media.total.size >= 9500 AND m.media.total.size < 10000 THEN 19 WHEN m.media.total.size >= 10000 AND m.media.total.size < 10500 THEN 20 WHEN m.media.total.size >= 10500 THEN 21 END AS bucket_idx, COUNT(*) AS n,
            quantile_disc(crux."all".cls, 0.5) AS median,
            COUNT(*) FILTER (WHERE crux."all".cls IS NOT NULL AND crux."all".cls <= 0.1) * 1.0 / NULLIF(COUNT(*) FILTER (WHERE crux."all".cls IS NOT NULL), 0) AS good_pct
            FROM sites WHERE m.media.total.size IS NOT NULL GROUP BY bucket_idx;
JSON file lookups (4)
20260625/meta.json 0.03 ms
20260625/types.json 0.59 ms
20260625/loaf-scripts.json 0.33 ms
20260625/menu.json 0.14 ms