DOM size

How many elements the DOM holds after load.

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

At a glance the headline numbers for DOM size

How many elements the DOM holds after load.

695
on the typical site
half of sites sit at or below
1,202
1 in 4 sites exceed this
the top quarter
6,465
the heaviest 1%
the long tail
180,899
sites measured
desktop field data

The typical page contains 695 DOM elements.

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 DOM size

0.00 0.04 0.08 0.11 0.15
0.1
0 9043 18085
180–189 190–199 200–209 210–219 220–229 230–239 240–249 250–259 260–269 270–279 280–289 290–299 300–309 310–319 320–329 330–339 340–349 350–359 360–369 370–379 380–389 390–399 400–409 410–419 420–429 430–439 440–449 450–459 460–469 470–479 480–489 490–499 500–509 510–519 520–529 530–539 540–549 550–559 560–569 570–579 580–589 590–599 600–609 610–619 620–629 630–639 640–649 650–659 660–669 670–679 680–689 690–699 700–709 710–719 720–729 730–739 740–749 750–759 760–769 770–779 780–789 790–799 800–809 810–819 820–829 830–839 840–849 850–859 860–869 870–879 880–889 890–899 900–909 910–919 920–929 930–939 940–949 950–959 960–969 970–979 980–989 990–999 1000–1009 1010–1019 1020–1029 1030–1039 1040–1049 1050–1059 1060–1069 1070–1079 1080–1089 1090–1099 1100–1109 1110–1119 1120–1129 1130–1139 1140–1149 1150–1159 1160–1169 1170–1179 1180–1189 1190–1199 1200–1209 1210–1219 1220–1229 1230–1239 1240–1249 1250–1259 1260–1269 1270–1279 1280–1289 1290–1299 1300–1309 1310–1319 1320–1329 1330–1339 1340–1349 1350–1359 1360–1369 1370–1379 1380–1389 1390–1399 1400–1409 1410–1419 1420–1429 1430–1439 1440–1449 1450–1459 1460–1469 1470–1479 1480–1489 1490–1499 1500–1509 1510–1519 1520–1529 1530–1539 1540–1549 1550–1559 1560–1569 1570–1579 1580–1589 1590–1599 1600–1609 1610–1619 1620–1629 1630–1639 1640–1649 1650–1659 1660–1669 1670–1679 1680–1689 1690–1699 1700–1709 1710–1719 1720–1729 1730–1739 1740–1749 1750–1759 1760–1769 1770–1779 1780–1789 1790–1799 1800–1809 1810–1819 1820–1829 1830–1839 1840–1849 1850–1859 1860–1869 1870–1879 1880–1889 1890–1899 1900–1909 1910–1919 1920–1929 1930–1939 1940–1949 1950–1959 1960–1969 1970–1979 1980–1989 1990–1999 2000–2009 2010–2019 2020–2029 2030–2039 2040–2049 2050–2059 2060–2069 2070–2079 2080+
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 DOM size which level passes the CLS most often

DOM sizeSitesPassing CLSCLS
180–189 969 71% 0.02
190–199 965 81% 0.02
200–209 961 82% 0.02
210–219 1,122 81% 0.01
220–229 1,148 80% 0.02
230–239 1,149 83% 0.01
240–249 1,176 83% 0.01
250–259 1,207 80% 0.01
260–269 1,281 85% 0.01
270–279 1,243 81% 0.01
280–289 1,339 77% 0.02
290–299 1,327 79% 0.01
300–309 1,375 84% 0.01
310–319 1,441 81% 0.01
320–329 1,467 80% 0.02
330–339 1,420 78% 0.02
340–349 1,489 79% 0.02
350–359 1,464 79% 0.02
360–369 1,484 75% 0.02
370–379 1,494 83% 0.02
380–389 1,481 80% 0.02
390–399 1,590 83% 0.01
400–409 1,614 82% 0.02
410–419 1,526 85% 0.02
420–429 1,518 82% 0.01
430–439 1,567 83% 0.02
440–449 1,638 76% 0.02
450–459 1,591 83% 0.02
460–469 1,528 81% 0.02
470–479 1,570 82% 0.02
480–489 1,545 80% 0.02
490–499 1,556 78% 0.02
500–509 1,547 82% 0.02
510–519 1,522 79% 0.02
520–529 1,494 78% 0.03
530–539 1,506 80% 0.02
540–549 1,572 79% 0.02
550–559 1,539 77% 0.02
560–569 1,497 81% 0.02
570–579 1,442 79% 0.02
580–589 1,529 80% 0.02
590–599 1,475 75% 0.03
600–609 1,541 77% 0.02
610–619 1,438 82% 0.02
620–629 1,404 78% 0.02
630–639 1,409 77% 0.02
640–649 1,403 77% 0.03
650–659 1,347 79% 0.02
660–669 1,325 80% 0.02
670–679 1,381 77% 0.02
680–689 1,353 82% 0.03
690–699 1,309 80% 0.02
700–709 1,304 78% 0.03
710–719 1,348 82% 0.02
720–729 1,292 79% 0.03
730–739 1,209 82% 0.02
740–749 1,256 79% 0.03
750–759 1,282 81% 0.02
760–769 1,256 79% 0.03
770–779 1,134 76% 0.03
780–789 1,146 77% 0.03
790–799 1,144 76% 0.03
800–809 1,079 77% 0.03
810–819 1,053 75% 0.04
820–829 1,065 78% 0.03
830–839 1,051 76% 0.04
840–849 998 79% 0.03
850–859 988 75% 0.04
860–869 1,005 79% 0.03
870–879 983 80% 0.02
880–889 938 80% 0.03
890–899 974 80% 0.02
900–909 925 74% 0.03
910–919 985 78% 0.03
920–929 974 81% 0.03
930–939 882 73% 0.04
940–949 858 75% 0.03
950–959 825 80% 0.03
960–969 828 82% 0.03
970–979 864 80% 0.03
980–989 799 78% 0.03
990–999 788 79% 0.03
1000–1009 810 81% 0.02
1010–1019 742 79% 0.03
1020–1029 792 79% 0.03
1030–1039 752 77% 0.03
1040–1049 715 77% 0.03
1050–1059 744 80% 0.03
1060–1069 682 78% 0.03
1070–1079 656 79% 0.02
1080–1089 699 78% 0.03
1090–1099 610 76% 0.03
1100–1109 641 74% 0.04
1110–1119 641 78% 0.04
1120–1129 636 84% 0.03
1130–1139 621 78% 0.03
1140–1149 640 76% 0.03
1150–1159 571 76% 0.04
1160–1169 536 79% 0.03
1170–1179 607 75% 0.02
1180–1189 604 74% 0.04
1190–1199 583 81% 0.04
1200–1209 576 78% 0.03
1210–1219 552 75% 0.03
1220–1229 524 72% 0.03
1230–1239 533 82% 0.04
1240–1249 524 77% 0.03
1250–1259 541 73% 0.04
1260–1269 547 75% 0.04
1270–1279 504 75% 0.03
1280–1289 503 69% 0.04
1290–1299 475 77% 0.03
1300–1309 487 78% 0.03
1310–1319 446 79% 0.03
1320–1329 487 75% 0.04
1330–1339 447 72% 0.04
1340–1349 458 81% 0.03
1350–1359 432 80% 0.03
1360–1369 382 72% 0.04
1370–1379 408 82% 0.03
1380–1389 398 72% 0.03
1390–1399 438 74% 0.03
1400–1409 394 77% 0.03
1410–1419 370 76% 0.04
1420–1429 404 75% 0.03
1430–1439 381 72% 0.04
1440–1449 419 77% 0.04
1450–1459 383 80% 0.02
1460–1469 375 72% 0.04
1470–1479 344 78% 0.03
1480–1489 360 79% 0.03
1490–1499 350 76% 0.03
1500–1509 366 79% 0.03
1510–1519 336 74% 0.03
1520–1529 356 66% 0.04
1530–1539 349 71% 0.04
1540–1549 331 71% 0.04
1550–1559 338 80% 0.03
1560–1569 306 73% 0.04
1570–1579 319 80% 0.02
1580–1589 303 72% 0.03
1590–1599 294 76% 0.04
1600–1609 311 76% 0.03
1610–1619 268 73% 0.04
1620–1629 313 82% 0.03
1630–1639 314 78% 0.03
1640–1649 321 78% 0.05
1650–1659 259 75% 0.05
1660–1669 275 71% 0.05
1670–1679 269 73% 0.04
1680–1689 266 79% 0.04
1690–1699 259 77% 0.04
1700–1709 281 82% 0.03
1710–1719 227 80% 0.03
1720–1729 271 78% 0.04
1730–1739 227 77% 0.03
1740–1749 249 75% 0.03
1750–1759 253 74% 0.05
1760–1769 235 74% 0.03
1770–1779 217 76% 0.04
1780–1789 211 79% 0.03
1790–1799 204 74% 0.04
1800–1809 221 78% 0.04
1810–1819 206 76% 0.03
1820–1829 225 75% 0.04
1830–1839 218 70% 0.04
1840–1849 235 77% 0.04
1850–1859 224 71% 0.06
1860–1869 224 70% 0.05
1870–1879 211 73% 0.05
1880–1889 191 73% 0.04
1890–1899 185 61% 0.07
1900–1909 208 70% 0.05
1910–1919 176 73% 0.03
1920–1929 170 81% 0.04
1930–1939 194 78% 0.05
1940–1949 193 70% 0.04
1950–1959 190 70% 0.04
1960–1969 189 73% 0.04
1970–1979 180 79% 0.04
1980–1989 180 76% 0.04
1990–1999 161 72% 0.04
2000–2009 180 76% 0.03
2010–2019 180 78% 0.04
2020–2029 160 76% 0.05
2030–2039 148 70% 0.04
2040–2049 188 74% 0.05
2050–2059 161 65% 0.06
2060–2069 144 81% 0.03
2070–2079 158 81% 0.03
2080+ 18,085 75% 0.04
Good Needs Improvement Poor Faded rows: under 100 sites

DOM size 695. p75 1,202. p99 6,465. At the low end (180–189): CLS 0.02. At the high end (2080+): CLS 0.04. 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

A large DOM makes rendering work scale with the page. That hits two Core Web Vitals. The interaction side is INP. A click usually changes the DOM. Before the browser can paint the result it has to recalculate styles and update the layout. More elements means more work in that recalculation, so the response to every click lags. This cost repeats on every interaction for the whole session.

The loading side is LCP. On the first render the browser parses, styles and lays out every element, even the ones below the fold. The main content waits for that work (render delay in the LCP). If the page only rendered what is visible, the first paint and every later click would be faster. Pagination, virtualization and fewer wrapper divs all work towards that.

Related signals Iframes per page → Media source → Image fetchpriority → Uses @import → Chrome field data from 189,915 sites, representing millions of real page loads · How we measured