From 4a0874ee420bac7cea2362943e4c628560c37fd8 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 13:38:00 -0800 Subject: [PATCH 01/88] Added Introduction --- src/content/en/2025/performance.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e3b4aecda31..a2d51e8c40e 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -18,3 +18,16 @@ featured_stat_3: ... featured_stat_label_3: ... doi: ... --- + +## Introduction + +Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable and consistent to end users. + +Measuring web performance goes beyond traditional page load timing and includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes help users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. + +These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. + +These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. + +The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. + From d9e9ef9ea4d47e00ca51e6873cb0e39918e2c44a Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 13:40:16 -0800 Subject: [PATCH 02/88] Introduction: fixed urls --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index a2d51e8c40e..7b6270ab66b 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -25,9 +25,9 @@ Web performance refers to how quickly and smoothly web pages load and respond to Measuring web performance goes beyond traditional page load timing and includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes help users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. -These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. +These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. -These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. +These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. From 18de1b528226c44db093c3f1ba1300a1853ea2e2 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 13:43:16 -0800 Subject: [PATCH 03/88] Introduction: fixed sentence --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 7b6270ab66b..a8086eab058 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -23,7 +23,7 @@ doi: ... Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable and consistent to end users. -Measuring web performance goes beyond traditional page load timing and includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes help users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. +Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes help users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. From 3f946174b89eca638dbca5e053e132679a16907d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 13:48:50 -0800 Subject: [PATCH 04/88] CWV Summary: Init --- src/content/en/2025/performance.md | 33 ++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index a8086eab058..391352dbe5d 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -31,3 +31,36 @@ These metrics are complemented by traditional indicators such as Soft navigation support is expected to aid in a more comprehensive collection of Web Vitals data for within the page navigation. + +While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects such as layout shift, loading performance, and interactivity is necessary to fully understand the user experience, which is what we will cover next. + + + From 34f02482f2bdbeb59220bd36609df91fc1893f9b Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 14:27:15 -0800 Subject: [PATCH 05/88] CWV: added figure markup --- src/content/en/2025/performance.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 391352dbe5d..c35a0d2e4f7 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -35,7 +35,15 @@ The **Web Almanac performance** chapter examines these signals at scale across d Core Web Vitals are Google’s key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page’s main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page’s lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. -### [TODO] Image +{{ figure_markup( + image="good-core-web-vitals-devices-years.png", + caption="The percent of websites having good CWV, segmented by year and desktop vs mobile.", + description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", + sheets_gid="1060077014", + sql_file="web_vitals_by_rank_and_device.sql" + ) +}} Mobile performance has significantly improved due to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This significant rise in mobile performance is largely attributable to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. From f21f2f830eb43ac81ba56b07fd58626253d59d13 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 14:34:21 -0800 Subject: [PATCH 06/88] Image folder: temp --- src/static/images/2025/performance/dummy.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 src/static/images/2025/performance/dummy.md diff --git a/src/static/images/2025/performance/dummy.md b/src/static/images/2025/performance/dummy.md new file mode 100644 index 00000000000..9c595a6fb76 --- /dev/null +++ b/src/static/images/2025/performance/dummy.md @@ -0,0 +1 @@ +temp From e457503609892eb21ec63437151823065133d90d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 14:51:10 -0800 Subject: [PATCH 07/88] CWV: image markup --- src/content/en/2025/performance.md | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index c35a0d2e4f7..577133758ff 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -41,7 +41,7 @@ Core Web Vitals are Google’s key performance metrics that measure how fast, re description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", sheets_gid="1060077014", - sql_file="web_vitals_by_rank_and_device.sql" + sql_file="TODO" ) }} @@ -49,7 +49,15 @@ Mobile performance has significantly improved due to advancements in mobile hard Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. -### [TODO] Image +{{ figure_markup( + image="good-core-web-vitals-by-rank.png", + caption="The percentage of websites having good CWV, segmented by rank and device type.", + description="The chart shows the percentage of websites achieving good Core Web Vitals (CWV) scores by site rank, comparing desktop and mobile performance. Among the top 1,000 websites, 59% of desktop sites have good CWV, compared to 51% on mobile, with mobile performance declining further for the next tiers to 42% for the top 10,000 and 37% for the top 100,000 sites. Desktop performance remains relatively stable across ranks, staying between 55% and 57%, while mobile performance improves again for lower-ranked sites, reaching 49% for the top 10 million and 48% overall.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=293787205&format=interactive", + sheets_gid="1060077014", + sql_file="web_vitals_by_rank_and_device.sql" + ) +}} Performance metrics for top mobile websites show a clear distinction: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. From e3ba04a4271a387d2efe7d0bfe5b9d858dc0f60d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 14:55:38 -0800 Subject: [PATCH 08/88] CWV: image markdown Add figure markup for Core Web Vitals data visualization. --- src/content/en/2025/performance.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 577133758ff..a2c3b0c2ac6 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -70,7 +70,15 @@ This data suggests that top-tier websites are prioritizing performance improveme In contrast, Desktop performance metrics are more uniformly distributed. This disparity highlights a significant gap in the focus on mobile web app performance compared to desktop, which is likely due to an increasing concentration on native applications. -### [TODO] Image +{{ figure_markup( + image="good-core-web-vitals-home-secondary-page.png", + caption="The percent of websites having good CWV, segmented by page type.", + description="The chart shows the percentage of pages with good Core Web Vitals (CWV) scores for home pages and secondary pages on desktop and mobile. On home pages, 47% of desktop pages and 45% of mobile pages achieve good CWV. On secondary pages, the share increases to 61% on desktop and 56% on mobile.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=604736426&format=interactive", + sheets_gid="1060077014", + sql_file="TODO" + ) +}} Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile.This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. 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z;T{dsN;b>I-VOAx2(XgmL3is009P%6W-*{1P@l#RpVrTJXKRaN{V2ju(`ulPg7ejg zD@DqRd6CWo6Q_X(p>&#F+%?T5B|A~pQ!#jTL#xT$mYWD#AOaJnT#3mv{&&lcFj4fx zlv7afR+x@J>2Xu~t$gPyEHbcK$i)rkBVvWIB?0t z?yRepFYsA4Os)hDT!yXA$I-zKi-$j&GK%cJbCrba32!08QNQ!btuC8|Hwxz5lC@N7sYR^iKYRDelF9o*Zl#7K_ut|ycDu?8{}#}UPL=OO^@q*_ZlihwHO42qKsR!pgHbM*+U;1`S-^fp3yK*A z@e5K&MLILqLWqbhB-_&v5O%J Date: Sun, 11 Jan 2026 15:13:28 -0800 Subject: [PATCH 10/88] Visual Stability: Init --- src/content/en/2025/performance.md | 43 ++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index a2c3b0c2ac6..ae0d6fd1b90 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -87,4 +87,47 @@ Secondary pages show a significant advantage over home pages in achieving good C While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects such as layout shift, loading performance, and interactivity is necessary to fully understand the user experience, which is what we will cover next. +## Visual Stability + +Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. + +In 2025, CLS adoption and stability continue to trend positively on both desktop and mobile devices. This section focuses on recent years particularly 2023 through 2025 highlighting progress, device differences, and shifts over the last year. + +### Cumulative Layout Shift (CLS) + +Cumulative Layout Shift (CLS) measures unexpected layout movement during page load and interaction, with higher scores indicating more disruptive visual shifts. CLS scores are categorized into three thresholds: Good (≤ 0.1), Needs Improvement (> 0.1 and ≤ 0.25), and Poor (> 0.25), providing a standardized way to evaluate and compare visual stability across websites. + +## TODO Image + +In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. + +Compared to 2024, the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. + +## TODO Image + +Looking at the past years, the percentage of websites meeting the Good CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. + +## TODO Image + +Pages beyond the homepage show slightly better visual stability than homepages across both desktop and mobile devices. In 2025, 73% of desktop secondary pages achieve Good CLS compared to 71% of desktop homepages, while on mobile 81% of secondary pages meet the Good CLS threshold versus 79% of mobile homepages. This suggests that homepages, which often contain more dynamic content such as hero media, banners, and promotional elements, remain more prone to layout shifts than secondary pages. + + +## TODO Image + +Over time, Good CLS increases steadily on both device types, with mobile consistently outperforming desktop. Despite minor month-to-month fluctuations, both curves trend upward, without much sharp inflection points, suggesting sustained improvements rather than abrupt shifts. + +### Back/forward cache (bfcache) + +[The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser’s back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page’s state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. + +However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. While BFCache behavior is handled by the browser, developers can assess eligibility using tools such as Chrome DevTools. + +Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). + +Browsers recommend avoiding unload in favor of alternatives such as pagehide and pageshow, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. + +### TODO Image + +Unload handler usage decreases consistently as site rank increases. Among higher-traffic websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages in the top 1,000 sites, declining steadily across lower-ranked sites to 11% on desktop and 10% on mobile when considering all pages. At every rank, desktop pages exhibit higher unload handler usage than mobile, indicating that unload handlers remain more prevalent on larger, more complex sites than across the long tail of the web. + From 4e6b0eec5327d3879b45254046c1b67e03c58d55 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 15:36:04 -0800 Subject: [PATCH 11/88] CLS: images markdown --- src/content/en/2025/performance.md | 31 ++++++++++++++++++++++++++---- 1 file changed, 27 insertions(+), 4 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index ae0d6fd1b90..3f8354fc625 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -97,21 +97,44 @@ In 2025, CLS adoption and stability continue to trend positively on both desktop Cumulative Layout Shift (CLS) measures unexpected layout movement during page load and interaction, with higher scores indicating more disruptive visual shifts. CLS scores are categorized into three thresholds: Good (≤ 0.1), Needs Improvement (> 0.1 and ≤ 0.25), and Poor (> 0.25), providing a standardized way to evaluate and compare visual stability across websites. -## TODO Image +{{ figure_markup( + image="good-cls-by-device-2025.png", + caption="CLS performance by device for 2025", + description="The chart shows the distribution of Cumulative Layout Shift (CLS) performance by device in 2025, categorized as Good, Needs Improvement, and Poor. On desktop, 72% of pages achieve a Good CLS score, 17% fall into Needs Improvement, and 10% are classified as Poor. Mobile pages perform better overall, with 81% achieving Good CLS, 10% in Needs Improvement, and 9% in the Poor category.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=79158134&format=interactive", + sheets_gid="1060077014", + sql_file="TODO" + ) +}} In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. Compared to 2024, the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. -## TODO Image +{{ figure_markup( + image="good-cls-by-device.png", + caption="CLS performance by device", + description="The chart shows the percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from 2021 to 2025. On desktop, the share of sites with good CLS increases from 62% in 2021 to 72% in 2025. On mobile, good CLS increases from 62% in 2021 to 81% in 2025. In each year from 2022 onward, mobile has a higher percentage of sites with good CLS than desktop.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1623776585&format=interactive", + sheets_gid="1060077014", + sql_file="TODO" + ) +}} Looking at the past years, the percentage of websites meeting the Good CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. -## TODO Image +{{ figure_markup( + image="good-cls-home-secondary-page.png", + caption="The percent of websites having good CWV, segmented by page type.", + description="The chart shows the percentage of pages with good Cumulative Layout Shift (CLS) scores for home pages and secondary pages on desktop and mobile in 2025. For home pages, 71% of desktop pages and 79% of mobile pages achieve good CLS. For secondary pages, the share increases to 73% on desktop and 81% on mobile, with mobile outperforming desktop for both page types.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=24521456&format=interactive", + sheets_gid="1060077014", + sql_file="TODO" + ) +}} Pages beyond the homepage show slightly better visual stability than homepages across both desktop and mobile devices. In 2025, 73% of desktop secondary pages achieve Good CLS compared to 71% of desktop homepages, while on mobile 81% of secondary pages meet the Good CLS threshold versus 79% of mobile homepages. This suggests that homepages, which often contain more dynamic content such as hero media, banners, and promotional elements, remain more prone to layout shifts than secondary pages. - ## TODO Image Over time, Good CLS increases steadily on both device types, with mobile consistently outperforming desktop. Despite minor month-to-month fluctuations, both curves trend upward, without much sharp inflection points, suggesting sustained improvements rather than abrupt shifts. 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z@%>0!x8)g;wy22=F#nXl)5uT-#@p3=4pE`;-~a1j|Jv`Ckzq3P@f`DiH5C9q({?~r MNmH@-mSyn&2LtI8s{jB1 literal 0 HcmV?d00001 From 6bcccaf91b97c1ea0de1ea24837fdbfd0486261b Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 15:44:30 -0800 Subject: [PATCH 13/88] CLS: chart data fix Updated the sheets_gid for the good CLS chart and added a new figure markup for the monthly trend of websites with good CLS by device. --- src/content/en/2025/performance.md | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 3f8354fc625..601d8f86f89 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -128,14 +128,22 @@ Looking at the past years, the percentage of websites meeting the Good CLS thres caption="The percent of websites having good CWV, segmented by page type.", description="The chart shows the percentage of pages with good Cumulative Layout Shift (CLS) scores for home pages and secondary pages on desktop and mobile in 2025. For home pages, 71% of desktop pages and 79% of mobile pages achieve good CLS. For secondary pages, the share increases to 73% on desktop and 81% on mobile, with mobile outperforming desktop for both page types.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=24521456&format=interactive", - sheets_gid="1060077014", + sheets_gid="1721986308", sql_file="TODO" ) }} Pages beyond the homepage show slightly better visual stability than homepages across both desktop and mobile devices. In 2025, 73% of desktop secondary pages achieve Good CLS compared to 71% of desktop homepages, while on mobile 81% of secondary pages meet the Good CLS threshold versus 79% of mobile homepages. This suggests that homepages, which often contain more dynamic content such as hero media, banners, and promotional elements, remain more prone to layout shifts than secondary pages. -## TODO Image +{{ figure_markup( + image="good-cls-by-month.png", + caption="Monthly trend of websites with good CLS by device from 2023 to 2025.", + description="The chart shows the monthly percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from January 2023 through early 2025. Desktop increases from approximately 65% at the start of 2023 to around 72% by 2025, while mobile rises from about 75% to roughly 79–80% over the same period. Mobile maintains a higher share of good CLS than desktop throughout the entire timeframe.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=142338615&format=interactive", + sheets_gid="1891926464", + sql_file="TODO" + ) +}} Over time, Good CLS increases steadily on both device types, with mobile consistently outperforming desktop. Despite minor month-to-month fluctuations, both curves trend upward, without much sharp inflection points, suggesting sustained improvements rather than abrupt shifts. From af2de03c7dd91426ea532a9754761dd43a67bc33 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 15:47:20 -0800 Subject: [PATCH 14/88] CWV: gid fix --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 601d8f86f89..602af5c6151 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -54,7 +54,7 @@ Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in caption="The percentage of websites having good CWV, segmented by rank and device type.", description="The chart shows the percentage of websites achieving good Core Web Vitals (CWV) scores by site rank, comparing desktop and mobile performance. Among the top 1,000 websites, 59% of desktop sites have good CWV, compared to 51% on mobile, with mobile performance declining further for the next tiers to 42% for the top 10,000 and 37% for the top 100,000 sites. Desktop performance remains relatively stable across ranks, staying between 55% and 57%, while mobile performance improves again for lower-ranked sites, reaching 49% for the top 10 million and 48% overall.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=293787205&format=interactive", - sheets_gid="1060077014", + sheets_gid="1721986308", sql_file="web_vitals_by_rank_and_device.sql" ) }} @@ -75,7 +75,7 @@ In contrast, Desktop performance metrics are more uniformly distributed. This di caption="The percent of websites having good CWV, segmented by page type.", description="The chart shows the percentage of pages with good Core Web Vitals (CWV) scores for home pages and secondary pages on desktop and mobile. On home pages, 47% of desktop pages and 45% of mobile pages achieve good CWV. On secondary pages, the share increases to 61% on desktop and 56% on mobile.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=604736426&format=interactive", - sheets_gid="1060077014", + sheets_gid="1721986308", sql_file="TODO" ) }} From eb6873076e2c65820e81254410630728f11a5f7f Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 15:53:17 -0800 Subject: [PATCH 15/88] Add figure for unload handler usage by rank and device Added figure markup for unload handler usage statistics in 2025. --- src/content/en/2025/performance.md | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 602af5c6151..ddf4a74d4d4 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -157,8 +157,14 @@ Pages may be excluded from BFCache due to known lifecycle behaviors, including t Browsers recommend avoiding unload in favor of alternatives such as pagehide and pageshow, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. -### TODO Image +{{ figure_markup( + image="unload-handler-usage.png", + caption="Unload handler usage by website rank and device (2025)", + description=”The chart shows the percentage of pages using unload event handlers by website rank on desktop and mobile in 2025. Among the top 1,000 websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages, with usage declining steadily as rank increases. For all websites, unload handlers are present on 11% of desktop pages and 10% of mobile pages, with desktop usage higher than mobile at every rank.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=140804120&format=interactive", + sheets_gid="1870744021", + sql_file="TODO" + ) +}} Unload handler usage decreases consistently as site rank increases. Among higher-traffic websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages in the top 1,000 sites, declining steadily across lower-ranked sites to 11% on desktop and 10% on mobile when considering all pages. At every rank, desktop pages exhibit higher unload handler usage than mobile, indicating that unload handlers remain more prevalent on larger, more complex sites than across the long tail of the web. - - From 7d73ef74b44a68298def75cf606e7d25965f2635 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 15:56:16 -0800 Subject: [PATCH 16/88] Add conclusion on visual stability improvements Added a conclusion section summarizing visual stability improvements and areas for further optimization. --- src/content/en/2025/performance.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index ddf4a74d4d4..85ecfd3ad72 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -168,3 +168,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp }} Unload handler usage decreases consistently as site rank increases. Among higher-traffic websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages in the top 1,000 sites, declining steadily across lower-ranked sites to 11% on desktop and 10% on mobile when considering all pages. At every rank, desktop pages exhibit higher unload handler usage than mobile, indicating that unload handlers remain more prevalent on larger, more complex sites than across the long tail of the web. + +### Conclusion +Overall, Visual stability across the web has advanced significantly compared to earlier years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. + +However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. + From 170064d2784700a7d266904e7805e2d0d42c3532 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 16:10:51 -0800 Subject: [PATCH 17/88] Added Interactivity Content --- src/content/en/2025/performance.md | 80 ++++++++++++++++++++++++++++++ 1 file changed, 80 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 85ecfd3ad72..0aefce6526b 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -86,6 +86,86 @@ Secondary pages show a significant advantage over home pages in achieving good C While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects such as layout shift, loading performance, and interactivity is necessary to fully understand the user experience, which is what we will cover next. +## Interactivity + +### Interaction to Next Paint (INP) + +[Interaction to Next Paint (INP)](https://web.dev/articles/inp) is calculated by observing all the interactions made with a page during the session and reporting the worst latency (for most sites). An interaction's latency consists of the single longest duration of a group of event handlers that drive the interaction, from the time the user begins the interaction to the moment the browser is next able to paint a frame. + +For an origin to receive a "good" INP score, at least 75% of all sessions need an INP score of 200 milliseconds or less. The INP score is the slowest or near-slowest interaction time for all interactions on the page. See [Details on how INP is calculated](https://web.dev/articles/inp#good-score) for more information. + +{{ figure_markup( + image="inp-performance-by-device-2025.png", + caption="Distribution of INP performance by device.", + description="Stacked bar chart showing INP performance by device, categorized as good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For desktop, 97% of websites have good INP, 2% need improvement, and less than 1% perform poorly. For phones, 77% of websites have good INP, 21% need improvement, and 3% perform poorly.", + chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + sheets_gid="1060077014", + sql_file="inp_by_device.sql" +) }} + +In 2025, mobile INP performance showed encouraging improvement, with 77% of websites achieving good scores—up from 74% in 2024. This 3 percentage point gain represents meaningful progress, as millions of websites now deliver more responsive experiences to mobile users. Desktop performance remained exemplary at 97%, maintaining the high standard established in previous years. + +Notably, the mobile-desktop performance gap has begun to narrow, shrinking from 23 percentage points in 2024 to 20 percentage points in 2025. While a 20 percentage point gap remains substantial, this marks the first measurable step toward closing the divide. The trend demonstrates that mobile optimization efforts are gaining traction across the web. + +{{ figure_markup( + image="mobile-inp-performance-by-rank-2025.png", + caption="INP performance on mobile devices segmented by rank.", + description="Stacked bar chart showing mobile INP performance by website rank, categorized into good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For the top 1,000 websites, 63% have good INP, 32% need improvement, and 5% perform poorly. For the top 10,000 websites, 56% are in the good range, 38% need improvement, and 6% are poor. In the top 100,000, 56% are good, 38% need improvement, and 6% are poor. For the top 1,000,000 websites, 64% have good INP, 31% need improvement, and 5% are poor. As the rank increases to the top 10,000,000 websites, 76% are good, 21% need improvement, and 3% are poor. Finally, for all websites, 77% have good INP, 21% need improvement, and 3% are poor.", + chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + sheets_gid="1354135914", + sql_file="inp_by_rank.sql" +) }} + +The most popular websites showed remarkable INP improvement in 2025, with the top 1,000 sites jumping from 53% to 63% good scores—a 10 percentage point gain that outpaced all other categories. This signals that high-traffic websites are prioritizing interactivity optimization, likely driven by the direct impact on user engagement and business metrics. + +While popular sites still lag behind the overall average of 77%, the gap has narrowed significantly. The top 1,000 sites were 21 percentage points below average in 2024 but only 14 percentage points below in 2025—the fastest rate of improvement observed across any category. + +This pattern reflects the unique challenges faced by high-traffic websites: more complex functionality, richer interactive features, heavier third-party integrations, and diverse user interaction patterns. E-commerce platforms, social media sites, and news portals inherently require more JavaScript execution than simpler websites, making good INP scores harder to achieve. + +The substantial year-over-year improvements suggest that major websites are successfully tackling these challenges through code splitting, interaction optimization, and selective feature loading. As the most visited sites continue to enhance their performance, they set higher standards and provide valuable optimization patterns for the broader web ecosystem. + +{{ figure_markup( + image="good-inp-for-home-pages-and-secondary-pages-2025.png", + caption="Good INP performance for home pages and secondary pages.", + description="Bar chart showing the percentage of pages with good INP for home pages and secondary pages on desktop and mobile. For home pages, 97% of desktop pages have good INP, while 80% of mobile pages achieve good INP. For secondary pages, 95% of desktop pages have good INP, compared to 69% of mobile pages.", + chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + sheets_gid="1721986308", + sql_file="inp_by_page_type.sql" +) }} + +In a notable shift from 2024, home pages now demonstrate significantly better INP performance than secondary pages on mobile devices. Mobile home pages achieved 80% good INP scores—a 7 percentage point improvement over 2024—while secondary pages declined to 69%, creating an 11 percentage point gap. This divergence represents a change from 2024, when home and secondary pages performed nearly identically (73% vs 72% on mobile). Desktop performance remained strong for both page types at 97% and 95% respectively. + +The improvement in home page INP likely reflects increased optimization focus on landing pages, where first impressions are critical. However, the decline in secondary page performance warrants attention, as these pages often contain more complex interactions like filters, carousels, and form validation, while also accumulating JavaScript from third-party widgets and analytics that activate deeper in the user journey. + +### Total Blocking Time (TBT) + +[Total Blocking Time (TBT)](https://web.dev/articles/tbt) measures the total amount of time after First Contentful Paint (FCP) where the main thread was blocked for long enough to prevent input responsiveness. + +TBT is a lab metric and is often used as a proxy for field-based responsiveness metrics like INP, which can only be collected using real user monitoring. [Lab-based TBT and field-based INP](https://colab.research.google.com/drive/12lJmAABgyVjaUbmWvrbzj9BkkTxw6ay2) are correlated, meaning TBT results generally reflect INP trends. A TBT below 200 milliseconds is considered good, but most mobile websites exceed this target significantly. + +{{ figure_markup( + image="distribution-of-tbt-per-page-2025.png", + caption="TBT per page by percentile.", + description="Bar chart showing the distribution of Total Blocking Time (TBT) per page in milliseconds (ms) by percentile. At the 10th percentile, desktop TBT is 0 milliseconds, while mobile is 127 milliseconds. At the 25th percentile, desktop TBT is 3 milliseconds, while mobile is 679 milliseconds. At the 50th percentile, desktop has 92 milliseconds of TBT, and mobile rises significantly to 1,916 milliseconds. At the 75th percentile, desktop reaches 336 milliseconds, with mobile at 4,193 milliseconds. Finally, at the 90th percentile, desktop TBT is 802 milliseconds, and mobile climbs to 7,555 milliseconds.", + chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + sheets_gid="309018170", + sql_file="tbt_by_percentile.sql" +) }} + +The median TBT on mobile increased to 1,916 milliseconds in 2025—up 58% from 1,209 milliseconds in 2024. Desktop TBT also rose from 67 milliseconds to 92 milliseconds. At the 90th percentile, mobile users now face over 7.5 seconds of blocking time before the page becomes fully interactive. + +This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors explain this divergence. Sites may have optimized critical interactions that impact INP while allowing background JavaScript to grow heavier. Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. Modern code-splitting strategies defer non-critical JavaScript after initial interactions, reducing early blocking captured by INP while still contributing to total blocking time. Additionally, third-party scripts continue to proliferate, executing outside critical interaction paths. + +The widening gap between desktop (92ms median) and mobile (1,916ms median) reinforces the persistent performance inequality between device classes, suggesting that despite INP improvements, the fundamental challenge of main thread blocking has intensified. + +### Interactivity conclusion + +The main takeaways of the interactivity results are: + +* Mobile INP improved to 77% (up from 74%), narrowing the mobile-desktop gap to 20 percentage points +* Top 1,000 websites achieved the strongest gains, improving from 53% to 63% good INP +* Home pages now outperform secondary pages significantly (80% vs 69% on mobile) +* TBT increased 58% despite INP improvements, indicating heavier overall JavaScript execution ## Visual Stability From bed7dd988bdbbb943d231d103a48148410eb8b49 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 16:16:04 -0800 Subject: [PATCH 18/88] INP: Fixed excel links --- src/content/en/2025/performance.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 0aefce6526b..2bc973a1cbb 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -98,7 +98,7 @@ For an origin to receive a "good" INP score, at least 75% of all sessions need a image="inp-performance-by-device-2025.png", caption="Distribution of INP performance by device.", description="Stacked bar chart showing INP performance by device, categorized as good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For desktop, 97% of websites have good INP, 2% need improvement, and less than 1% perform poorly. For phones, 77% of websites have good INP, 21% need improvement, and 3% perform poorly.", - chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=73846591&format=interactive", sheets_gid="1060077014", sql_file="inp_by_device.sql" ) }} @@ -111,7 +111,7 @@ Notably, the mobile-desktop performance gap has begun to narrow, shrinking from image="mobile-inp-performance-by-rank-2025.png", caption="INP performance on mobile devices segmented by rank.", description="Stacked bar chart showing mobile INP performance by website rank, categorized into good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For the top 1,000 websites, 63% have good INP, 32% need improvement, and 5% perform poorly. For the top 10,000 websites, 56% are in the good range, 38% need improvement, and 6% are poor. In the top 100,000, 56% are good, 38% need improvement, and 6% are poor. For the top 1,000,000 websites, 64% have good INP, 31% need improvement, and 5% are poor. As the rank increases to the top 10,000,000 websites, 76% are good, 21% need improvement, and 3% are poor. Finally, for all websites, 77% have good INP, 21% need improvement, and 3% are poor.", - chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1626195308&format=interactive", sheets_gid="1354135914", sql_file="inp_by_rank.sql" ) }} @@ -128,7 +128,7 @@ The substantial year-over-year improvements suggest that major websites are succ image="good-inp-for-home-pages-and-secondary-pages-2025.png", caption="Good INP performance for home pages and secondary pages.", description="Bar chart showing the percentage of pages with good INP for home pages and secondary pages on desktop and mobile. For home pages, 97% of desktop pages have good INP, while 80% of mobile pages achieve good INP. For secondary pages, 95% of desktop pages have good INP, compared to 69% of mobile pages.", - chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1226158281&format=interactive", sheets_gid="1721986308", sql_file="inp_by_page_type.sql" ) }} @@ -147,7 +147,7 @@ TBT is a lab metric and is often used as a proxy for field-based responsiveness image="distribution-of-tbt-per-page-2025.png", caption="TBT per page by percentile.", description="Bar chart showing the distribution of Total Blocking Time (TBT) per page in milliseconds (ms) by percentile. At the 10th percentile, desktop TBT is 0 milliseconds, while mobile is 127 milliseconds. At the 25th percentile, desktop TBT is 3 milliseconds, while mobile is 679 milliseconds. At the 50th percentile, desktop has 92 milliseconds of TBT, and mobile rises significantly to 1,916 milliseconds. At the 75th percentile, desktop reaches 336 milliseconds, with mobile at 4,193 milliseconds. Finally, at the 90th percentile, desktop TBT is 802 milliseconds, and mobile climbs to 7,555 milliseconds.", - chart_url="https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=566862109&format=interactive", sheets_gid="309018170", sql_file="tbt_by_percentile.sql" ) }} From 21d0eaf569f49d9271f69b545290d576271d8bed Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 16:20:31 -0800 Subject: [PATCH 19/88] Added Interactivity Images --- .../distribution-of-tbt-per-page-2025.png | Bin 0 -> 17793 bytes ...-for-home-pages-and-secondary-pages-2025.png | Bin 0 -> 20027 bytes .../inp-performance-by-device-2025.png | Bin 0 -> 17842 bytes .../mobile-inp-performance-by-rank-2025.png | Bin 0 -> 27319 bytes 4 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 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Add sections for Loading Speed, Early Hints, Speculation Rules, and Conclusion as TODOs. --- src/content/en/2025/performance.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 2bc973a1cbb..98acbc038ad 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -84,7 +84,10 @@ Secondary pages show a significant advantage over home pages in achieving good C Soft navigation support is expected to aid in a more comprehensive collection of Web Vitals data for within the page navigation. -While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects such as layout shift, loading performance, and interactivity is necessary to fully understand the user experience, which is what we will cover next. +While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects of loading performance, interactivity and visual stability is necessary to fully understand the user experience, which is what we will cover in the following sections. + +## Loading Speed +In Progress (Humaira) ## Interactivity @@ -254,3 +257,11 @@ Overall, Visual stability across the web has advanced significantly compared to However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. +## Early Hints +TODO (Unassigned) + +## Speculation Rules +TODO (Unassigned) + +## Conclusion +TODO (Unassigned) From f8f0b5eef93323ec72c70901927af240ea3291a0 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 17:58:14 -0800 Subject: [PATCH 21/88] Add TODO sections for Images and Animation Added sections for Images and Animation with TODO notes. --- src/content/en/2025/performance.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 98acbc038ad..87ffc105186 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -252,6 +252,12 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Unload handler usage decreases consistently as site rank increases. Among higher-traffic websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages in the top 1,000 sites, declining steadily across lower-ranked sites to 11% on desktop and 10% on mobile when considering all pages. At every rank, desktop pages exhibit higher unload handler usage than mobile, indicating that unload handlers remain more prevalent on larger, more complex sites than across the long tail of the web. +### Images +TODO (Himanshu) + +### Animation +TODO (Himanshu) + ### Conclusion Overall, Visual stability across the web has advanced significantly compared to earlier years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. From a531e2091f82d27b6ade9828ca4294febc7be897 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 18:28:46 -0800 Subject: [PATCH 22/88] Enhance 'Loading Speed' section with FCP and TTFB data Expanded the 'Loading Speed' section to include detailed metrics on First Contentful Paint (FCP) and Time to First Byte (TTFB), along with performance improvements for 2024 and 2025. --- src/content/en/2025/performance.md | 46 ++++++++++++++++++++++++++++-- 1 file changed, 44 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 87ffc105186..73aeea62c12 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -86,8 +86,50 @@ Secondary pages show a significant advantage over home pages in achieving good C While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects of loading performance, interactivity and visual stability is necessary to fully understand the user experience, which is what we will cover in the following sections. -## Loading Speed -In Progress (Humaira) +## Loading Speed - In Progress (Humaira) + +A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. + +### First Contentful Paint + +To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp?hl=en). This metric captures the exact time it takes for a page to begin displaying content, measured from the point the user first requested the page. Any page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. + +{{ figure_markup( + image="fcp-performance-by-year-and-device-2025.png", + caption=" Percentage of websites having good, needs improvement, and poor FCP, segmented by year and device type.", + description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: good (under 0.8 seconds), needs improvement (0.8–1.8 seconds), and poor (over 1.8 seconds). In 2024, 68% of desktop websites had good TTFB, 22% needed improvement, and 10% performed poorly. In 2025, 70% of desktop websites have good TTFB, 21% need improvement, and 9% perform poorly. For mobile websites in 2024, 51% of websites had good TTFB, 31% needed improvement, and 18% performed poorly. In 2025, 55% of mobile websites have good TTFB, 29% need improvement, and 16% perform poorly.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1596764241&format=interactive", + sheets_gid="1060077014", + sql_file="web_vitals_by_device.sql" + ) +}} + +Based on real user data from [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), FCP performance has improved across both desktop and mobile devices since 2024\. Specifically, the proportion of desktop sites achieving a 'Good' FCP rose by 2%, while mobile sites saw a 4% increase. + +While the increase is not drastic, we can still attempt to understand what's driving these FCP improvements. We can view the metric as consisting of two distinct parts. The first is the **initial network and server response**, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup (such as the TCP/QUIC handshake), redirects, and server processing time, and is primarily influenced by network infrastructure and protocol efficiency. The second part is **client-side rendering**, which begins after the first byte is received. This is the time it takes for browsers to parse and render the first part of the webpage's content, and is influenced by browser engine, render-blocking resources, and user hardware quality. + +{{ figure_markup( + image="ttfb-performance-by-year-and-device-2025.png", + caption="Percentage of websites having good, needs improvement, and poor TTFB, segmented by year and device type.", + description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: good (under 0.8 seconds), needs improvement (0.8–1.8 seconds), and poor (over 1.8 seconds). In 2024, 54% of desktop websites had good TTFB, 33% needed improvement, and 13% performed poorly. In 2025, 55% of desktop websites have good TTFB, 33% need improvement, and 12% perform poorly. For mobile websites in 2024, 42% of websites had good TTFB, 40% needed improvement, and 19% performed poorly. In 2025, 44% of mobile websites have good TTFB, 40% need improvement, and 17% perform poorly.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=220208816&format=interactive", + sheets_gid="1060077014", + sql_file="web_vitals_by_device.sql" + )}} + +{{ figure_markup( + image="pages-passing-render-blocking-audit-2025.png", + caption="Percentage of pages passing the render-blocking Lighthouse audit , segmented by device and year.", + description="Bar chart showing the percentage of pages passing the render-blocking resources audit for 2024 and 2025, comparing desktop and mobile device types. In 2024, 13% of desktop pages passed the audit and 14% of mobile pages passed. In 2025, 13% of desktop pages passed the audit and 15% of mobile pages passed. Mobile pages show a slight improvement from 2024 to 2025, while desktop pages remain unchanged.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=102924133&format=interactive", + sheets_gid="1432298892", + sql_file="render_blocking_resources.sql" + ) +}} + +The TTFB data provides partial insight into these FCP gains between 2024 and 2025\. Desktop sites achieving 'Good' TTFB increased by 1% since 2024, while mobile saw a 2% improvement. This suggests network and server-side optimizations contributed reasonably (\~half) to overall FCP improvements. The remaining FCP gains likely stem from client-side factors—such as elimination of render-blocking resources, improved Chrome browser engine, or better user hardware in general. Given that there are no significant improvements in number of pages passing the Lighthouse [render-blocking resources audit](https://developer.chrome.com/docs/lighthouse/performance/render-blocking-resources) this year compared to 2024, it would seem that a key factor improving FCP across both device types could be the much [improved rendering engine](https://thinksproutinfotech.com/news/how-google-chrome-received-the-highest-ever-speedometer-score/) in Chrome since 2024, which reduces rendering times regardless of individual website optimizations. + +### More subsections upcoming ## Interactivity From 6c3d900bf551d30ecb116654070b5498c18abe27 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Sun, 11 Jan 2026 19:18:57 -0800 Subject: [PATCH 23/88] Revise Performance chapter metadata and content Updated authors, reviewers, and analysts for the Performance chapter. Added a section on data sources and revised content for clarity and completeness. --- src/content/en/2025/performance.md | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 73aeea62c12..d5432442d24 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -3,12 +3,15 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. -authors: [] -reviewers: [] -analysts: [] +authors: [25prathamesh, himanshujariyal, hfhashmi, aarontgrogg] +reviewers: [siakaramalegos, tunetheweb] +analysts: [tannerhodges] editors: [] translators: [] results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit +himanshujariyal_bio: "TODO" +25prathamesh_bio: "TODO" +hfhashmi_bio: "TODO" featured_quote: ... featured_stat_1: ... featured_stat_label_1: ... @@ -31,6 +34,9 @@ These metrics are complemented by traditional indicators such as Date: Mon, 12 Jan 2026 09:53:06 +0000 Subject: [PATCH 24/88] Enable chapter --- src/config/2025.json | 3 +- src/config/contributors.json | 53 ++++++++++++++++++++++++++++++ src/content/en/2025/performance.md | 50 ++++++++++++++-------------- 3 files changed, 79 insertions(+), 27 deletions(-) diff --git a/src/config/2025.json b/src/config/2025.json index ff20fc335e9..ab9cf01d3ae 100644 --- a/src/config/2025.json +++ b/src/config/2025.json @@ -76,8 +76,7 @@ "part": "II", "chapter_number": "9", "title": "Performance", - "slug": "performance", - "todo": true + "slug": "performance" }, { "part": "II", diff --git a/src/config/contributors.json b/src/config/contributors.json index c18371f4522..2439e5f5ed6 100644 --- a/src/config/contributors.json +++ b/src/config/contributors.json @@ -11,6 +11,19 @@ "twitter": "AaronGustafson", "website": "https://www.aaron-gustafson.com" }, + "aarontgrogg": { + "avatar_url": "366755", + "bluesky": "aarontgrogg.com", + "github": "aarontgrogg", + "linkedin": "aarontgrogg", + "name": "Aaron T. Grogg", + "teams": { + "2025": [ + "authors" + ] + }, + "website": "https://aarontgrogg.com/" + }, "AbbyTsai": { "avatar_url": "44442451", "github": "AbbyTsai", @@ -1972,6 +1985,18 @@ }, "website": "https://hidde.blog/" }, + "himanshujariyal": { + "avatar_url": "6078423", + "github": "himanshujariyal", + "linkedin": "himanshujariyal", + "name": "Himanshu Jariyal", + "teams": { + "2025": [ + "authors" + ] + }, + "website": "https://medium.com/@him_jar" + }, "housseindjirdeh": { "avatar_url": "12476932", "github": "housseindjirdeh", @@ -2008,6 +2033,16 @@ ] } }, + "hfhashmi": { + "avatar_url": "184349148", + "github": "hfhashmi", + "name": "Humaira", + "teams": { + "2025": [ + "authors" + ] + } + }, "iandevlin": { "avatar_url": "554326", "github": "iandevlin", @@ -3883,6 +3918,9 @@ "2022": [ "analysts", "reviewers" + ], + "2025": [ + "authors" ] } }, @@ -4506,6 +4544,9 @@ ], "2024": [ "reviewers" + ], + "2025": [ + "reviewers" ] }, "website": "https://sia.codes" @@ -4667,6 +4708,18 @@ "twitter": "tameverts", "website": "https://speedcurve.com/" }, + "tannerhodges": { + "avatar_url": "1619485", + "bluesky": "tannerhodges.bsky.social", + "github": "tannerhodges", + "name": "Tanner Hodges", + "teams": { + "2025": [ + "analysts" + ] + }, + "website": "https://tannerhodges.com/" + }, "thibaudcolas": { "avatar_url": "877585", "github": "thibaudcolas", diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index d5432442d24..b42fe900250 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -8,18 +8,18 @@ reviewers: [siakaramalegos, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] +himanshujariyal_bio: TODO +25prathamesh_bio: TODO +hfhashmi_bio: TODO +aarontgrogg_bio: TODO results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit -himanshujariyal_bio: "TODO" -25prathamesh_bio: "TODO" -hfhashmi_bio: "TODO" -featured_quote: ... -featured_stat_1: ... -featured_stat_label_1: ... -featured_stat_2: ... -featured_stat_label_2: ... -featured_stat_3: ... -featured_stat_label_3: ... -doi: ... +featured_quote: TODO +featured_stat_1: TODO +featured_stat_label_1: TODO +featured_stat_2: TODO +featured_stat_label_2: TODO +featured_stat_3: TODO +featured_stat_label_3: TODO --- ## Introduction @@ -30,7 +30,7 @@ Measuring web performance includes a broad set of metrics that describe how page These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. -These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. +These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. @@ -39,7 +39,7 @@ TODO: Add a short closing section describing the data sources, collection period ## Core Web Vitals Summary -Core Web Vitals are Google’s key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page’s main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page’s lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. +Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page's lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. {{ figure_markup( image="good-core-web-vitals-devices-years.png", @@ -65,7 +65,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Performance metrics for top mobile websites show a clear distinction: +Performance metrics for top mobile websites show a clear distinction: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. However, CWV scores drop significantly for less popular sites: @@ -86,7 +86,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile.This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. +Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile.This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. Soft navigation support is expected to aid in a more comprehensive collection of Web Vitals data for within the page navigation. @@ -110,8 +110,8 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Based on real user data from [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), FCP performance has improved across both desktop and mobile devices since 2024\. Specifically, the proportion of desktop sites achieving a 'Good' FCP rose by 2%, while mobile sites saw a 4% increase. - +Based on real user data from [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), FCP performance has improved across both desktop and mobile devices since 2024\. Specifically, the proportion of desktop sites achieving a 'Good' FCP rose by 2%, while mobile sites saw a 4% increase. + While the increase is not drastic, we can still attempt to understand what's driving these FCP improvements. We can view the metric as consisting of two distinct parts. The first is the **initial network and server response**, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup (such as the TCP/QUIC handshake), redirects, and server processing time, and is primarily influenced by network infrastructure and protocol efficiency. The second part is **client-side rendering**, which begins after the first byte is received. This is the time it takes for browsers to parse and render the first part of the webpage's content, and is influenced by browser engine, render-blocking resources, and user hardware quality. {{ figure_markup( @@ -221,7 +221,7 @@ The main takeaways of the interactivity results are: ## Visual Stability -Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. +Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. In 2025, CLS adoption and stability continue to trend positively on both desktop and mobile devices. This section focuses on recent years particularly 2023 through 2025 highlighting progress, device differences, and shifts over the last year. @@ -239,7 +239,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. +In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. Compared to 2024, the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. @@ -281,18 +281,18 @@ Over time, Good CLS increases steadily on both device types, with mobile consist ### Back/forward cache (bfcache) -[The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser’s back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page’s state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. +[The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. While BFCache behavior is handled by the browser, developers can assess eligibility using tools such as Chrome DevTools. -Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). +Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). Browsers recommend avoiding unload in favor of alternatives such as pagehide and pageshow, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. {{ figure_markup( image="unload-handler-usage.png", caption="Unload handler usage by website rank and device (2025)", - description=”The chart shows the percentage of pages using unload event handlers by website rank on desktop and mobile in 2025. Among the top 1,000 websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages, with usage declining steadily as rank increases. For all websites, unload handlers are present on 11% of desktop pages and 10% of mobile pages, with desktop usage higher than mobile at every rank.”, + description="The chart shows the percentage of pages using unload event handlers by website rank on desktop and mobile in 2025. Among the top 1,000 websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages, with usage declining steadily as rank increases. For all websites, unload handlers are present on 11% of desktop pages and 10% of mobile pages, with desktop usage higher than mobile at every rank.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=140804120&format=interactive", sheets_gid="1870744021", sql_file="TODO" @@ -311,11 +311,11 @@ TODO (Himanshu) The main takeaways are: -- Visual stability across the web has advanced significantly over the years, particularly on mobile devices. -- Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. +- Visual stability across the web has advanced significantly over the years, particularly on mobile devices. +- Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. - However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. -## Early Hints +## Early Hints TODO (Unassigned) ## Speculation Rules From f5aa57a37eba953160e66cce04a22b2f1b115ed6 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 18:09:07 -0800 Subject: [PATCH 25/88] Delete src/static/images/2025/performance/dummy.md --- src/static/images/2025/performance/dummy.md | 1 - 1 file changed, 1 deletion(-) delete mode 100644 src/static/images/2025/performance/dummy.md diff --git a/src/static/images/2025/performance/dummy.md b/src/static/images/2025/performance/dummy.md deleted file mode 100644 index 9c595a6fb76..00000000000 --- a/src/static/images/2025/performance/dummy.md +++ /dev/null @@ -1 +0,0 @@ -temp From 187d9538afcad50bfe2acd89690f6cf87c72f5ad Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 21:09:37 -0800 Subject: [PATCH 26/88] Revise performance.md for clarity and updates Updated authors and reviewers list, improved text clarity, and refined sections on Cumulative Layout Shift (CLS) and unload handler usage. --- src/content/en/2025/performance.md | 25 ++++++++++++++----------- 1 file changed, 14 insertions(+), 11 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index b42fe900250..4a2fda7b355 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -3,8 +3,8 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. -authors: [25prathamesh, himanshujariyal, hfhashmi, aarontgrogg] -reviewers: [siakaramalegos, tunetheweb] +authors: [25prathamesh, himanshujariyal, hfhashmi] +reviewers: [aarontgrogg, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] @@ -221,9 +221,7 @@ The main takeaways of the interactivity results are: ## Visual Stability -Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. - -In 2025, CLS adoption and stability continue to trend positively on both desktop and mobile devices. This section focuses on recent years particularly 2023 through 2025 highlighting progress, device differences, and shifts over the last year. +Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. In 2025, CLS adoption and stability continue to trend positively on both desktop and mobile devices. This section focuses on recent years particularly 2023 through 2025 highlighting progress, device differences, and shifts over the last year. ### Cumulative Layout Shift (CLS) @@ -241,7 +239,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. -Compared to 2024, the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. +[Compared to 2024](../2024/performance#cumulative-layout-shift-cls), the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. {{ figure_markup( image="good-cls-by-device.png", @@ -253,7 +251,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Looking at the past years, the percentage of websites meeting the Good CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. +Looking at the past years, the percentage of websites meeting the Good CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. However, the increase compared to last year is marginal, with the share of sites meeting the Good CLS threshold on desktop remaining unchanged and mobile improving by only 2%. {{ figure_markup( image="good-cls-home-secondary-page.png", @@ -277,17 +275,20 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Over time, Good CLS increases steadily on both device types, with mobile consistently outperforming desktop. Despite minor month-to-month fluctuations, both curves trend upward, without much sharp inflection points, suggesting sustained improvements rather than abrupt shifts. +From 2023 to 2025, the share of sites with Good CLS increases steadily across both device types, with mobile consistently outperforming desktop. While there are minor fluctuations over time, both trends show a gradual upward trajectory with no sharp inflection points, indicating sustained improvements rather than sudden changes. ### Back/forward cache (bfcache) [The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. -However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. While BFCache behavior is handled by the browser, developers can assess eligibility using tools such as Chrome DevTools. +However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. +While BFCache behavior is ultimately handled by the browser, developers can evaluate page eligibility by using Chrome DevTools. Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). -Browsers recommend avoiding unload in favor of alternatives such as pagehide and pageshow, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. +Browsers recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. + +Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. {{ figure_markup( image="unload-handler-usage.png", @@ -299,7 +300,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Unload handler usage decreases consistently as site rank increases. Among higher-traffic websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages in the top 1,000 sites, declining steadily across lower-ranked sites to 11% on desktop and 10% on mobile when considering all pages. At every rank, desktop pages exhibit higher unload handler usage than mobile, indicating that unload handlers remain more prevalent on larger, more complex sites than across the long tail of the web. +It is interesting to see that unload handler usage decreases consistently as the site rank increases. + +Among higher-traffic websites (top 1000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. ### Images TODO (Himanshu) From 3bc74163cdf51476a3c23fdec0bcc79672e57847 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 21:22:27 -0800 Subject: [PATCH 27/88] Update SQL file references in performance.md Updated SQL file references for various charts in the performance report, replacing 'TODO' with specific SQL file names for better clarity and data handling. --- src/content/en/2025/performance.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 4a2fda7b355..fcbd47b4d10 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -47,7 +47,7 @@ Core Web Vitals are Google's key performance metrics that measure how fast, resp description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", sheets_gid="1060077014", - sql_file="TODO" + sql_file="web_vitals_by_device.sql" ) }} @@ -82,7 +82,7 @@ In contrast, Desktop performance metrics are more uniformly distributed. This di description="The chart shows the percentage of pages with good Core Web Vitals (CWV) scores for home pages and secondary pages on desktop and mobile. On home pages, 47% of desktop pages and 45% of mobile pages achieve good CWV. On secondary pages, the share increases to 61% on desktop and 56% on mobile.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=604736426&format=interactive", sheets_gid="1721986308", - sql_file="TODO" + sql_file="web_vitals_by_device_secondary_pages.sql" ) }} @@ -233,7 +233,7 @@ Cumulative Layout Shift (CLS) measures unexpected layout movement during page lo description="The chart shows the distribution of Cumulative Layout Shift (CLS) performance by device in 2025, categorized as Good, Needs Improvement, and Poor. On desktop, 72% of pages achieve a Good CLS score, 17% fall into Needs Improvement, and 10% are classified as Poor. Mobile pages perform better overall, with 81% achieving Good CLS, 10% in Needs Improvement, and 9% in the Poor category.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=79158134&format=interactive", sheets_gid="1060077014", - sql_file="TODO" + sql_file="web_vitals_by_device.sql" ) }} @@ -243,11 +243,11 @@ In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative {{ figure_markup( image="good-cls-by-device.png", - caption="CLS performance by device", + caption="CLS performance by device from 2021 to 2025", description="The chart shows the percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from 2021 to 2025. On desktop, the share of sites with good CLS increases from 62% in 2021 to 72% in 2025. On mobile, good CLS increases from 62% in 2021 to 81% in 2025. In each year from 2022 onward, mobile has a higher percentage of sites with good CLS than desktop.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1623776585&format=interactive", sheets_gid="1060077014", - sql_file="TODO" + sql_file="web_vitals_by_device.sql" ) }} @@ -259,7 +259,7 @@ Looking at the past years, the percentage of websites meeting the Good CLS thres description="The chart shows the percentage of pages with good Cumulative Layout Shift (CLS) scores for home pages and secondary pages on desktop and mobile in 2025. For home pages, 71% of desktop pages and 79% of mobile pages achieve good CLS. For secondary pages, the share increases to 73% on desktop and 81% on mobile, with mobile outperforming desktop for both page types.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=24521456&format=interactive", sheets_gid="1721986308", - sql_file="TODO" + sql_file="web_vitals_by_device_secondary_pages.sql" ) }} @@ -271,7 +271,7 @@ Pages beyond the homepage show slightly better visual stability than homepages a description="The chart shows the monthly percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from January 2023 through early 2025. Desktop increases from approximately 65% at the start of 2023 to around 72% by 2025, while mobile rises from about 75% to roughly 79–80% over the same period. Mobile maintains a higher share of good CLS than desktop throughout the entire timeframe.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=142338615&format=interactive", sheets_gid="1891926464", - sql_file="TODO" + sql_file="monthly_cls_lcp.sql" ) }} @@ -296,7 +296,7 @@ Compared to 2024, unload handler usage declined across all ranks and both device description="The chart shows the percentage of pages using unload event handlers by website rank on desktop and mobile in 2025. Among the top 1,000 websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages, with usage declining steadily as rank increases. For all websites, unload handlers are present on 11% of desktop pages and 10% of mobile pages, with desktop usage higher than mobile at every rank.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=140804120&format=interactive", sheets_gid="1870744021", - sql_file="TODO" + sql_file="bfcache_unload.sql" ) }} From 8ada35224e3f39df70fab44234cf0f507c159563 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 22:03:24 -0800 Subject: [PATCH 28/88] Added BFCache insights Updated statistics and insights on unload handler usage and Cache-Control directives affecting BFCache eligibility. Added figures and clarified trends from 2024 to 2025. --- src/content/en/2025/performance.md | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index fcbd47b4d10..98c87880ff9 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -286,9 +286,7 @@ While BFCache behavior is ultimately handled by the browser, developers can recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. - -Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. +Browsers recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. {{ figure_markup( image="unload-handler-usage.png", @@ -300,9 +298,22 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -It is interesting to see that unload handler usage decreases consistently as the site rank increases. +It is interesting to see that unload handler usage decreases consistently as the site rank increases. Among higher-traffic websites (top 1000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. + +Another common reason for websites to fall in the bfcache ineligibility category is the use of the `Cache-Control: no-store` directive. This cache control header instructs the browser (and any intermediate caches) not to store a copy of the resource, ensuring that the content is fetched from the server on every request. + +{{ figure_markup( + caption="Percentage of sites using `Cache-Control: no-store`.", + content="23.4%", + classes="big-number", + sheets_gid="374304732", + sql_file="bfcache_cachecontrol_nostore.sql" +) +}} + +23.4% of the sites now use `Cache-Control: no-store`, up from 21% [in 2024](../2024/performance#backforward-cache-bfcache). This increase may reflect the growing prevalence of authenticated and personalized experiences, stricter security or compliance requirements, and evolving browser behavior that has reduced the performance impact of `Cache-Control: no-store`, particularly with respect to BFCache eligibility. -Among higher-traffic websites (top 1000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. +Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome has changed this behavior in 2025 and now allows such pages into BFCache when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. ### Images TODO (Himanshu) From 817b118099fbcff55fdaad993ca3eb564b86885a Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 22:23:45 -0800 Subject: [PATCH 29/88] Revise data sources section in performance chapter Updated the section on data sources and methodology to provide details on the data collection process, including the use of HTTP Archive and Chrome UX Report. --- src/content/en/2025/performance.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 98c87880ff9..437caeb49e7 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -34,8 +34,9 @@ These metrics are complemented by traditional indicators such as Date: Mon, 12 Jan 2026 22:56:35 -0800 Subject: [PATCH 31/88] Document Early Hints feature and its adoption Added detailed information about Early Hints, including its overview, usage statistics, and support across browsers and servers. --- src/content/en/2025/performance.md | 51 +++++++++++++++++++++++++++++- 1 file changed, 50 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index bab11cfdf45..4ff90671b49 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -335,7 +335,56 @@ The main takeaways are: - However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. ## Early Hints -TODO (Unassigned) + +### Overview + +[Early Hints](https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Status/103) provide a "heads up" to the browser about assets that it will need for the page that the the browser has just requested. + +Early Hints are sent from the server to the browser while the requested page is still being prepared. In this way, browsers could start taking action to optimistically preconnect to other domains or preload an asset before the requested page has been returned to it. + +This allows Early Hints to have an absolute impact on the loading performance of the currently requested pages. Consider if, rather than having to wait for the HTML to return to the browser, and the parser to find the link (or even preload link) for the main CSS file and/or LCP asset, it could begin fetching those assets before the HTML was even returned to the browser. + +This could allow for an FCP that is nearly perfectly rendered, in a single paint. + +Early Hints can also contain crossorigin attributes and CSP header information, though [for security reasons](https://www.rfc-editor.org/rfc/rfc8297#section-3) it is recommended that they only be used over HTTP/2 or higher. + +### Usage + +In the chart below, which shows the percentage of pages that use early Hints, we see adoption has not exactly taken off: usage is quite low in all groups, barely breaking 6% on desktop in the top 1,000,000 sites; most other groups are well below 5%. + +{{ figure_markup( + image="early-hints-usage.png", + caption="Early Hints usage by website rank and device (2025)", + description=”The chart shows the percentage of pages using Early Hints by website rank on desktop and mobile in 2025. Usage is quite low in all groups, only breaking 6% of desktop pages in the top 1 million group. All other groups are mostly below 5%.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1274076138&format=interactive", + sheets_gid="1150834797", + sql_file="early_hints_usage_rank.sql" + ) +}} + +This is likely related to the complexities of setting up and configuring Early Hints: the assets for any given page must be related to the server before the page is complete and ready for sending; for most CMSs this would be a challenge. + +The mobile/desktop parity is also quite noticeable; never more than a 1% difference, and typically closer to 0.5%. Meaning, where Early Hints are implemented, they are likely done so similarly for all device types. + +Though as low as the usage for 2025 is, it is also noticeable that there has been an increase in usage over the past three years. + +{{ figure_markup( + image="early-hints-usage-by-year.png", + caption="Early Hints usage by year (2023, 2024, 2025) and device (mobile, desktop)", + description=”The chart shows the percentage of pages using Early Hints by year on desktop and mobile in 2023, 2024 and 2025. Usage is quite low in all groups for all years, but there is a consistent increase across the years, from just over 1% to roughly 4%.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=888096185&format=interactive", + sheets_gid="1512001974", + sql_file="TODO" + ) +}} + +### Support + +Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, “Preconnect” was supported in all browsers, and “Preload” in all except Safari. + +With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. + +Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), [Cloudflare since 2021](https://blog.cloudflare.com/early-hints/), and [Akamai since 2024](https://techdocs.akamai.com/ion/changelog/jun-17-2024-new-early-hints-behavior). ## Speculation Rules TODO (Unassigned) From 567a78d4212a14445d2c9a5c07321883669e9b9b Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Mon, 12 Jan 2026 22:57:31 -0800 Subject: [PATCH 32/88] images early hints --- .../performance/early-hints-usage-by-year.png | Bin 0 -> 19629 bytes .../2025/performance/early-hints-usage.png | Bin 0 -> 22294 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create 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z;V2+h%DN0bz2}4nN6z3=<)LQSu(NF1`uh0F9e`=&=d1s)EUB9lrMQ9Y)O;ncO@#sK zVj>48r>Fd*rAU|biBWY*WM400KCR+yW;2+~rh`q-8L6A;8Kpg_K~aIi literal 0 HcmV?d00001 From 87e14b97b0073eb1ae92ab56bf8268ebc1a92800 Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Tue, 13 Jan 2026 16:49:33 +0000 Subject: [PATCH 33/88] Fix quotes --- src/content/en/2025/performance.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 4ff90671b49..61f2495f737 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -36,7 +36,7 @@ The **Web Almanac performance** chapter examines these signals at scale across d What's new this year? - Expanded coverage of emerging browser features, including new sections on Speculation Rules and Early Hints and their impact on perceived performance and navigation. -- TODO: add more +- TODO: add more ### Data Sources and Methodology @@ -286,7 +286,7 @@ From 2023 to 2025, the share of sites with Good CLS increases steadily across bo [The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. -However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. +However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. While BFCache behavior is ultimately handled by the browser, developers can evaluate page eligibility by using Chrome DevTools. Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). @@ -305,7 +305,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp It is interesting to see that unload handler usage decreases consistently as the site rank increases. Among higher-traffic websites (top 1000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. -Another common reason for websites to fall in the bfcache ineligibility category is the use of the `Cache-Control: no-store` directive. This cache control header instructs the browser (and any intermediate caches) not to store a copy of the resource, ensuring that the content is fetched from the server on every request. +Another common reason for websites to fall in the bfcache ineligibility category is the use of the `Cache-Control: no-store` directive. This cache control header instructs the browser (and any intermediate caches) not to store a copy of the resource, ensuring that the content is fetched from the server on every request. {{ figure_markup( caption="Percentage of sites using `Cache-Control: no-store`.", @@ -355,7 +355,7 @@ In the chart below, which shows the percentage of pages that use early Hints, we {{ figure_markup( image="early-hints-usage.png", caption="Early Hints usage by website rank and device (2025)", - description=”The chart shows the percentage of pages using Early Hints by website rank on desktop and mobile in 2025. Usage is quite low in all groups, only breaking 6% of desktop pages in the top 1 million group. All other groups are mostly below 5%.”, + description="The chart shows the percentage of pages using Early Hints by website rank on desktop and mobile in 2025. Usage is quite low in all groups, only breaking 6% of desktop pages in the top 1 million group. All other groups are mostly below 5%.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1274076138&format=interactive", sheets_gid="1150834797", sql_file="early_hints_usage_rank.sql" @@ -371,7 +371,7 @@ Though as low as the usage for 2025 is, it is also noticeable that there has bee {{ figure_markup( image="early-hints-usage-by-year.png", caption="Early Hints usage by year (2023, 2024, 2025) and device (mobile, desktop)", - description=”The chart shows the percentage of pages using Early Hints by year on desktop and mobile in 2023, 2024 and 2025. Usage is quite low in all groups for all years, but there is a consistent increase across the years, from just over 1% to roughly 4%.”, + description="The chart shows the percentage of pages using Early Hints by year on desktop and mobile in 2023, 2024 and 2025. Usage is quite low in all groups for all years, but there is a consistent increase across the years, from just over 1% to roughly 4%.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=888096185&format=interactive", sheets_gid="1512001974", sql_file="TODO" @@ -380,7 +380,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ### Support -Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, “Preconnect” was supported in all browsers, and “Preload” in all except Safari. +Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, “Preconnect" was supported in all browsers, and “Preload" in all except Safari. With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. From fe084b2355e00702d08c66ba9e8086ff86ed3e19 Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Tue, 13 Jan 2026 16:50:57 +0000 Subject: [PATCH 34/88] Update contributors --- src/config/contributors.json | 3 --- src/content/en/2025/performance.md | 2 +- 2 files changed, 1 insertion(+), 4 deletions(-) diff --git a/src/config/contributors.json b/src/config/contributors.json index d5bd31445a0..626fec3026a 100644 --- a/src/config/contributors.json +++ b/src/config/contributors.json @@ -4645,9 +4645,6 @@ ], "2024": [ "reviewers" - ], - "2025": [ - "reviewers" ] }, "website": "https://sia.codes" diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 61f2495f737..0ab3f9f3459 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -4,7 +4,7 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. authors: [25prathamesh, himanshujariyal, hfhashmi] -reviewers: [aarontgrogg, tunetheweb] +reviewers: [tunetheweb] analysts: [tannerhodges] editors: [] translators: [] From 2b4136f198b66b326256b18e156f9c42b05b7cab Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Tue, 13 Jan 2026 16:52:35 +0000 Subject: [PATCH 35/88] Update contributors --- src/config/contributors.json | 2 +- src/content/en/2025/performance.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/config/contributors.json b/src/config/contributors.json index 626fec3026a..940606fd2a5 100644 --- a/src/config/contributors.json +++ b/src/config/contributors.json @@ -22,7 +22,7 @@ "name": "Aaron T. Grogg", "teams": { "2025": [ - "authors" + "reviewers" ] }, "website": "https://aarontgrogg.com/" diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 0ab3f9f3459..61f2495f737 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -4,7 +4,7 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. authors: [25prathamesh, himanshujariyal, hfhashmi] -reviewers: [tunetheweb] +reviewers: [aarontgrogg, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] From 4245eacf1fad1ee282551b06cd8dd87c19aecf05 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Tue, 13 Jan 2026 09:12:16 -0800 Subject: [PATCH 36/88] Enhance performance.md with CLS best practices Added best practices for Cumulative Layout Shift (CLS) and addressed unsized images in the performance section. Updated statistics for mobile and desktop regarding image dimensions and their impact on layout stability. --- src/content/en/2025/performance.md | 54 +++++++++++++++++++++++++++--- 1 file changed, 49 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 61f2495f737..e6907143478 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -320,13 +320,57 @@ Another common reason for websites to fall in the bfcache ineligibility category Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome has changed this behavior in 2025 and now allows such pages into BFCache when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. -### Images -TODO (Himanshu) +### CLS Best Practices -### Animation -TODO (Himanshu) +#### Fixed Image Sizes -### Conclusion +Images are one of the most common causes of Cumulative Layout Shift (CLS) when the browser does not know how much space to reserve for them upfront. If an image loads without explicit dimensions, the browser initially lays out the page as if the image has zero height, and then shifts surrounding content once the image finishes loading. + +To prevent this, images should always have intrinsic dimensions defined either via `width` and `height` attributes or by using CSS `aspect-ratio` so the browser can allocate the correct amount of space before the image is fetched. + +{{ figure_markup( + caption="The percent of mobile pages that fail to set explicit dimensions on at least one image.", + content="62.28%", + classes="big-number", + sheets_gid="1870744021", + sql_file="cls_unsized_images.sql" +)}} + +In 2025, a significant share of pages still risk layout instability due to images without explicit dimensions. On mobile, 62.28% of pages fail to set dimensions on at least one image, an improvement from 66% in 2024, indicating gradual adoption of CLS friendly image practices. + +Desktop pages show a similar but slightly worse pattern, with 65.45% affected in 2025, down from 69% in 2024. While the downward trend is encouraging, the majority of pages still leave the browser guessing image sizes at layout time, making images one of the most persistent and preventable contributors to CLS. + +{{ figure_markup( + image="unsized-images-per-page.png", + caption="The percent of mobile pages that fail to set explicit dimensions on at least one image.", + description="Bar chart showing the number of unsized images per page at different percentiles for desktop and mobile in 2025. At the 50th percentile, desktop pages have 2 unsized images on average, compared to one on mobile, increasing to nine on desktop and eight on mobile at the 75th percentile. At the 90th percentile, the count rises sharply to 25 unsized images on desktop and 22 on mobile, while lower percentiles show little to no unsized images.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=106540407&format=interactive", + sheets_gid="1218246619", + sql_file="cls_unsized_images.sql" + ) +}} + +The median number of unsized images per web page is two. At the 90th percentile, this number increases sharply to 26 on desktop and 23 on mobile. Unsized images increase the risk of layout shift. However, their actual impact on CLS depends on both the size of the image and how far content shifts when it loads, especially if the shift affects the viewport. CLS is calculated based on the impact fraction (how much of the viewport is affected) and the distance fraction (how far elements move), meaning larger images or shifts closer to the top of the page tend to contribute more heavily to CLS. The full calculation details are explained [here](https://web.dev/articles/cls#layout-shift-score-calculation). + +{{ figure_markup( + image="unsized-images-by-height.png", + caption="Distribution of the heights of unsized images.", + description="Bar chart showing the height of unsized images at different percentiles for desktop and mobile in 2025. At the 50th percentile, unsized images have a height of 111px on desktop and 98px on mobile, increasing to 246px and 200px respectively at the 75th percentile. At the 90th percentile, unsized image heights reach 413px on desktop and 300px on mobile", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=2046199622&format=interactive", + sheets_gid="116114708", + sql_file="cls_unsized_image_height.sql" + ) +}} + +From the chart above, unsized images are much taller at higher percentiles. At the median, unsized images are about 100px tall on both desktop and mobile, but by the 90th percentile they grow to around 413px on desktop and 300px on mobile. Taller unsized images increase CLS because they cause larger vertical layout shifts when they load, especially if they appear in the viewport. Since web pages scroll vertically, missing image height has a much bigger impact on CLS than missing width. + +#### Fonts +TODO + +#### Animation +TODO + +### Visual Stability Conclusion The main takeaways are: From 22f2f117d992a8b104850b388815d26b0f3ba6fb Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Tue, 13 Jan 2026 09:13:44 -0800 Subject: [PATCH 37/88] Images for CLS Best practices --- .../2025/performance/unsized-image-height.png | Bin 0 -> 18682 bytes .../performance/unsized-images-per-page.png | Bin 0 -> 17194 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/static/images/2025/performance/unsized-image-height.png create mode 100644 src/static/images/2025/performance/unsized-images-per-page.png diff --git a/src/static/images/2025/performance/unsized-image-height.png b/src/static/images/2025/performance/unsized-image-height.png new file mode 100644 index 0000000000000000000000000000000000000000..b43979dd01495cf0b8323d54afd73fd3bfe6bb9f GIT 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Grogg" Date: Tue, 13 Jan 2026 15:04:21 -0800 Subject: [PATCH 38/88] Refine performance metrics and Core Web Vitals section Review of Introduction, Core Web Vitals Summary, Interactivity, per Himanshu Jariyal. --- src/content/en/2025/performance.md | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e6907143478..c35736e6f80 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -26,9 +26,9 @@ featured_stat_label_3: TODO Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable and consistent to end users. -Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes help users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. +Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes helps users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. -These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**, these include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), and capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. +These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. @@ -40,11 +40,11 @@ What's new this year? ### Data Sources and Methodology -This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a very large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). +This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a very large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). TODO: Fix this link, currently 404. ## Core Web Vitals Summary -Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page's lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. +Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures unexpected layout changes that occur during a page's lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. {{ figure_markup( image="good-core-web-vitals-devices-years.png", @@ -55,8 +55,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp sql_file="web_vitals_by_device.sql" ) }} +TODO: Does it matter that the above image uses the term "Phone" in its legend, where most others use "Mobile"? -Mobile performance has significantly improved due to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This significant rise in mobile performance is largely attributable to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. +Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This significant rise in mobile performance is largely attributable to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. @@ -80,6 +81,7 @@ However, CWV scores drop significantly for less popular sites: This data suggests that top-tier websites are prioritizing performance improvements, while mid-tier websites are still lagging. In contrast, Desktop performance metrics are more uniformly distributed. This disparity highlights a significant gap in the focus on mobile web app performance compared to desktop, which is likely due to an increasing concentration on native applications. +TODO: Could this also have to do with some entities/developers still not focusing properly on mobile? {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", @@ -91,9 +93,10 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile.This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. +Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile. This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. +TODO: Could also be that Home Pages get updated more frequently and introduce more varied components, whereas secondary pages might be more templatized, so perhaps more stable? -Soft navigation support is expected to aid in a more comprehensive collection of Web Vitals data for within the page navigation. +Soft navigation support is expected to aid in a more comprehensive collection of CWV data for within the page navigation. While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects of loading performance, interactivity and visual stability is necessary to fully understand the user experience, which is what we will cover in the following sections. @@ -159,6 +162,7 @@ For an origin to receive a "good" INP score, at least 75% of all sessions need a sheets_gid="1060077014", sql_file="inp_by_device.sql" ) }} +TODO: Does it matter that the above image uses the term "Phone" in its legend, where most others use "Mobile"? In 2025, mobile INP performance showed encouraging improvement, with 77% of websites achieving good scores—up from 74% in 2024. This 3 percentage point gain represents meaningful progress, as millions of websites now deliver more responsive experiences to mobile users. Desktop performance remained exemplary at 97%, maintaining the high standard established in previous years. From 180afebb6155ad14fee97d1c9551c33a159f4c1d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 12:44:46 -0800 Subject: [PATCH 39/88] Apply suggestions from code review Co-authored-by: Stoyan Stefanov --- src/content/en/2025/performance.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index c35736e6f80..e7b391703f2 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -30,7 +30,7 @@ Measuring web performance includes a broad set of metrics that describe how page These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. -These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of resource loading behavior like Fonts, Images and JavaScript. Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. +These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of the loading behavior of page resources (fonts, images, CSS and JavaScript files). Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. @@ -71,10 +71,8 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Performance metrics for top mobile websites show a clear distinction: +Performance metrics for top mobile websites show a clear distinction, however, CWV scores drop significantly for less popular sites: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. - -However, CWV scores drop significantly for less popular sites: - The next 10,000 websites score 42%. - The subsequent 1 million websites score 37%. @@ -98,7 +96,10 @@ TODO: Could also be that Home Pages get updated more frequently and introduce mo Soft navigation support is expected to aid in a more comprehensive collection of CWV data for within the page navigation. -While the current CWV data indicates better overall performance for secondary pages, a deeper dive into specific aspects of loading performance, interactivity and visual stability is necessary to fully understand the user experience, which is what we will cover in the following sections. +While CWV data indicates better overall performance for secondary pages, let's dive deeper into the specific aspects of: +- loading performance +- interactivity and +- visual stability ## Loading Speed From 8ae739284829cc7e275c9e2cb458e6165b9b7673 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 14:33:12 -0800 Subject: [PATCH 40/88] images related to images/fonts/animation --- .../performance/fonts-resource-hint-usage.png | Bin 0 -> 23291 bytes .../non-composite-animations-per-page.png | Bin 0 -> 14912 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/static/images/2025/performance/fonts-resource-hint-usage.png create mode 100644 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zNaP8Dr7BiNSNXBV<;GS1UCccm?E84)rlY``?0SnQrQVYD)SW9;sC!;KyzWf7ZBdKXh>Z z3!z{p*g?4)(F1OzfDLPnp~Y9~YxQT9Tj=n)t;P*U^r||b53*ek?^7F8w97Foi7ho( zK=zoSy$9Amm3fg-4x?@AZ)@s|D(e@WwL+)VV@&nz!2v=?U#$hVR_Hw(`);Y2#4kZw zC$i0xsEIu@uJHXOf9F2eOAR(?h_X&TNfS6FT}GYiY&l|WZ9THVY}-HbrXHA~ycPOB zdj6Ea8W1b-l;2GrDfqy2qhfo_h>Wp#tn`Z98Bcy?f13>A+A#M>`H)Ch@cnoh7V!#RB^A(;Hps-i)luOH*WJ@( zwIk-n&-1cs!F$i7W|n;$)w^V2XXXiZP!EX&O9W3pgN4OcqB{R{K}=)H-9Hl4n{L7bRTPU^~7X&5*M(DoW&E@P#1jD_l# ziTNnK59RhAf~2Z4=038=P|%D|DX>NynkUnZ@}Tj1Y*cTO1;tHkLZu~jijZU?Oin!2 zZ3j$7ab{D@Uk8m{?UvOQ{Yo=ho;AsZ-n(1M9Cc9ay*LhQMdPqs0d|N++<`r|dl?y* zf-!oVa90lL9XM$-4_Z`udbGR4f@H=;7Z)Rt3d3&`bPm#9NL;d|D@;`|F)sN+I^uLD ziNZNgnt&^Q#KAQ>5no_W)F(K=wzjvEn-q+*!I9syxD%bN)kjBF?iAaG8N0g9+@lWv zwgu0scEEhi-~t0hgnd6kT$W2fMMI*K+^74uytupvu_rpy2$|ByUJ^D;0oP_?VhTuF rH@Mb$zpECs!~P4m2L6wMN#7v1a_S!{(q{ZR6QX`W=X}mt%RB!A#-j!s literal 0 HcmV?d00001 From 687232cfb56fa423849bc18593f54985ccbf3548 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 14:44:50 -0800 Subject: [PATCH 41/88] fonts and animations details Expanded sections on fonts and animations to address their impact on Cumulative Layout Shift (CLS). Added data on web font usage and resource hints, as well as the prevalence of non-composited animations. --- src/content/en/2025/performance.md | 59 ++++++++++++++++++++++++++---- 1 file changed, 52 insertions(+), 7 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e7b391703f2..b6d0f9208ef 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -370,18 +370,63 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp From the chart above, unsized images are much taller at higher percentiles. At the median, unsized images are about 100px tall on both desktop and mobile, but by the 90th percentile they grow to around 413px on desktop and 300px on mobile. Taller unsized images increase CLS because they cause larger vertical layout shifts when they load, especially if they appear in the viewport. Since web pages scroll vertically, missing image height has a much bigger impact on CLS than missing width. #### Fonts -TODO -#### Animation -TODO +Browsers often initially display text using a fallback (system) font while a custom web font is still downloading. This temporary rendering can cause a negative impact on the Cumulative Layout Shift (CLS) score. When the custom font finally loads, the browser replaces the fallback font, which can alter the text's size and spacing, leading to content shifting. + +{{ figure_markup( + caption="The percent of mobile pages that use web fonts.", + content="86.6%", + classes="big-number", + sheets_gid="1246939241", + sql_file="font_usage_mobile.sql" +)}} + +A significant majority 86.6% of mobile pages utilize at least one web font. This widespread use of custom typography requires downloading and application, substantially [raising the potential](https://web.dev/articles/optimize-cls#web-fonts) for layout shifts. + +To effectively minimize layout shifts caused by fonts, it is crucial to load essential fonts as early as possible, ideally using resource hints. If a font loads before or very near the first render, the browser can display text using the correct font immediately. This prevents the swap from a default font, which is a common cause of layout shifts. Current data indicates that this opportunity is frequently missed. + +{{ figure_markup( + image="font-resource-hint-usage.png", + caption="Adoption of resource hints for font resources.", + description=”Bar chart showing the percentage of pages using font-related resource hints on desktop and mobile in 2025. `dns-prefetch` is the most commonly used hint, appearing on 24% of pages on both `desktop` and `mobile`, followed by `preconnect` at 22% on each device. `preload` is used less frequently at 15% on `desktop` and 16% on `mobile`, while `prefetch` remains rare at around 5% on both platforms.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=111695502&format=interactive", + sheets_gid="667157886", + sql_file="font_resource_hint_usage.sql" + ) +}} + +Font resource hint usage is very similar across desktop and mobile. About 24% of pages use dns-prefetch and 22% use preconnect, which mainly helps in reducing connection setup time. Preload is a good way to make fonts available early during rendering but is used on only 15-16% of pages. Even fewer pages, around 5%, use prefetch, which is generally less useful for fonts needed during the initial page load. This suggests there is substantial opportunity to improve font performance through more targeted use of resource hints. + + +#### Animations + +[Non-composited](https://developer.chrome.com/docs/lighthouse/performance/non-composited-animations) animations contribute to layout shift because they modify layout-affecting properties, triggering reflows that move surrounding content after rendering has begun. Animations using composited properties like `transform` and `opacity` avoid this by updating visual appearance without changing layout, making them safer for visual stability. + +{{ figure_markup( + caption="The percent of mobile pages that have non-composited animations.", + content="40.19%", + classes="big-number", + sheets_gid="1135625211", + sql_file="cls_animations.sql" +)}} + +Non-composited animations remain common, appearing on 40.19% of mobile pages and 43.59% of desktop pages. Their impact emerges primarily at higher percentiles, with usage increasing at the 75th percentile and rising sharply at the 90th percentile to 13 animations on desktop and 11 on mobile, as shown in the chart below. + +{{ figure_markup( + image="non-composite-animations-per-page.png", + caption="Adoption of resource hints for font resources.", + description=”Bar chart showing the number of non-composited animations per page by percentile for desktop and mobile in 2025. Both desktop and mobile report zero non-composited animations through the 50th percentile. At the 75th percentile, pages have 3 animations on desktop and 2 on mobile, increasing sharply at the 90th percentile to 13 on desktop and 11 on mobile.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1922146788&format=interactive”, + sheets_gid="1135625211", + sql_file="cls_animations.sql” + ) +}} ### Visual Stability Conclusion -The main takeaways are: +Visual stability across the web has advanced significantly over the years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. -- Visual stability across the web has advanced significantly over the years, particularly on mobile devices. -- Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. -- However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. +Despite gradual improvements, most pages continue to leave layout decisions to the browser, leading to unnecessary visual shifts. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. ## Early Hints From 93ec48fe8d1162c6fa2abf3db727813394928023 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 14:54:00 -0800 Subject: [PATCH 42/88] Revise Early Hints info and add Speculation Rules section Updated the year for Akamai's Early Hints support and added an overview and usage section for Speculation Rules API. --- src/content/en/2025/performance.md | 31 ++++++++++++++++++++++++++++-- 1 file changed, 29 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index b6d0f9208ef..e27407428a2 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -478,10 +478,37 @@ Unlike most web performance features, Early Hints relies not only on browsers, b With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. -Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), [Cloudflare since 2021](https://blog.cloudflare.com/early-hints/), and [Akamai since 2024](https://techdocs.akamai.com/ion/changelog/jun-17-2024-new-early-hints-behavior). +Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), [Cloudflare since 2021](https://blog.cloudflare.com/early-hints/), and [Akamai since 2023](https://www.akamai.com/blog/performance/akamai-103-early-hints-prototype-the-results-are-in). ## Speculation Rules -TODO (Unassigned) + +### Overview + +(Speculation Rules)[https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API] are an experimental browser API (currently Chromium-only) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. + +While Speculation Rules do not help the current page’s performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. + +The intent is for this API to replace and with more advanced configuration options. Again, the Speculation Rules API is for full pages only; for individual assets, you would still need to use . + +### Usage + +In the chart below, which shows the percentage of home pages that contain Speculation Rules, we see something interesting: Speculation Rules usage on the top 1,000 sites is quite low, only 3% on desktop and 5% on mobile. And while usage climbs for each subsequent group, it only reaches 15%, mobile and desktop, for the top 1,000,000 sites. It is not until the final group, the top 10,000,000, that we see the percentage jump sharply up, to 24% desktop and 25% mobile: + +{{ figure_markup( + image="speculation-rules-usage.png", + caption="Speculation Rules usage by website rank and device (2025)", + description=”The chart shows the percentage of home pages that contain Speculation Rules by website rank on desktop and mobile in 2025. Among the top 1,000 websites, Speculation Rules appear on 3% of desktop pages and 5% of mobile pages, with usage increasing slowly as rank decreases. For all websites, Speculation Rules are present on 24% of desktop pages and 35% of mobile pages, with desktop and mobile usage nearly equal at every rank.”, +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=826167809&format=interactive", + sheets_gid="1244034811", + sql_file="speculation_rules_rank.sql" + ) +}} + +This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user’s exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. + +Conversely, Speculation Rules now come baked into (WordPress)[https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/], which powers a large share of the Internet, but perhaps not a large share of the top sites. + +Also notable is the parity between mobile and desktop usage; seldom more than a 1% difference. Meaning, where Speculation Rules are implemented, they are likely done so similarly for all device types. ## Conclusion TODO (Unassigned) From 1c16a0eafd5b1c8683f40cc4b9d208cd37d7a26b Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 14:55:10 -0800 Subject: [PATCH 43/88] Fix markdown links in performance.md --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e27407428a2..51175d50c51 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -484,7 +484,7 @@ Also note that Early Hints are available via [Fastly since 2020](https://www.fas ### Overview -(Speculation Rules)[https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API] are an experimental browser API (currently Chromium-only) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. +[Speculation Rules](https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently Chromium-only) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. While Speculation Rules do not help the current page’s performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. @@ -506,7 +506,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user’s exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. -Conversely, Speculation Rules now come baked into (WordPress)[https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/], which powers a large share of the Internet, but perhaps not a large share of the top sites. +Conversely, Speculation Rules now come baked into [WordPress](https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/), which powers a large share of the Internet, but perhaps not a large share of the top sites. Also notable is the parity between mobile and desktop usage; seldom more than a 1% difference. Meaning, where Speculation Rules are implemented, they are likely done so similarly for all device types. 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z2kWRQvN01dy}Hq&>9fxjL%pM{?(sH+X=o^K@tN!^=)!v{jYbRG^GEO^HMrqYLYoDa z*ZLU*VV+|mJi$wbZ*zmU(S)v}rap_j3}CD8^I8kJTjnu1*T*HnKS|Mecx=Ds=h=(= epM5C(%GZq-7k6e53;sNS2Xo@IPNB9<@IL{IhA4gj literal 0 HcmV?d00001 From 13e804f5f62d8daf9897061b9d36fce3668511f3 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 15:16:00 -0800 Subject: [PATCH 45/88] LCP content --- src/content/en/2025/performance.md | 110 +++++++++++++++++++++++++++-- 1 file changed, 106 insertions(+), 4 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 51175d50c51..5d5948f9435 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -107,11 +107,11 @@ A major factor influencing a user's perception of quality and reliability is the ### First Contentful Paint -To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp?hl=en). This metric captures the exact time it takes for a page to begin displaying content, measured from the point the user first requested the page. Any page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. +To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp?hl=en). This metric captures the exact time it takes for a page to begin displaying *any* content, measured from the point the user first requested the page. A page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. {{ figure_markup( image="fcp-performance-by-year-and-device-2025.png", - caption=" Percentage of websites having good, needs improvement, and poor FCP, segmented by year and device type.", + caption="Percentage of websites having good, needs improvement, and poor FCP, segmented by year and device type.", description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: good (under 0.8 seconds), needs improvement (0.8–1.8 seconds), and poor (over 1.8 seconds). In 2024, 68% of desktop websites had good TTFB, 22% needed improvement, and 10% performed poorly. In 2025, 70% of desktop websites have good TTFB, 21% need improvement, and 9% perform poorly. For mobile websites in 2024, 51% of websites had good TTFB, 31% needed improvement, and 18% performed poorly. In 2025, 55% of mobile websites have good TTFB, 29% need improvement, and 16% perform poorly.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1596764241&format=interactive", sheets_gid="1060077014", @@ -144,8 +144,110 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp The TTFB data provides partial insight into these FCP gains between 2024 and 2025\. Desktop sites achieving 'Good' TTFB increased by 1% since 2024, while mobile saw a 2% improvement. This suggests network and server-side optimizations contributed reasonably (\~half) to overall FCP improvements. The remaining FCP gains likely stem from client-side factors—such as elimination of render-blocking resources, improved Chrome browser engine, or better user hardware in general. Given that there are no significant improvements in number of pages passing the Lighthouse [render-blocking resources audit](https://developer.chrome.com/docs/lighthouse/performance/render-blocking-resources) this year compared to 2024, it would seem that a key factor improving FCP across both device types could be the much [improved rendering engine](https://thinksproutinfotech.com/news/how-google-chrome-received-the-highest-ever-speedometer-score/) in Chrome since 2024, which reduces rendering times regardless of individual website optimizations. -### More subsections upcoming -TODO (Humaira) +### Largest Contentful Paint + +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%)—a gap that likely reflects the compounding effects of slower networks and less powerful hardware**.** Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. + +{{ figure_markup( + image="lcp-performance-by-device-2025.png", + caption=" Percentage of websites having good, needs improvement, and poor FCP, segmented by device type.", + description="Stacked bar chart showing LCP (Largest Contentful Paint) performance for both desktop and mobile device types. Each bar chart has 3 categories: good (under 2.5 seconds), needs improvement (2.5–4.0 seconds), and poor (over 4 seconds). For desktop websites, 74% achieve a good LCP, 18% need improvement, and 7% perform poorly. On phone devices, 62% of websites have a good LCP, 25% need improvement, and 13% perform poorly.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=546968144&format=interactive", + sheets_gid="1060077014", + sql_file="web_vitals_by_device.sql" + ) +}} + +Like FCP, LCP is also a sum of several sequential phases: the time taken to get the first byte of data from the server (TTFB), the delay before the browser begins fetching the LCP resource (Resource Load Delay), the time spent loading that resource (Resource Load Duration), and finally any delay before it renders (Element Render Delay). Understanding where time is lost across these phases is essential for improving LCP and thus overall [Core Web Vitals performance](https://web.dev/articles/defining-core-web-vitals-thresholds) of a web page. + +#### LCP Content Types + +To optimize LCP effectively, we first need to understand what types of content typically become the LCP element. + +{{ figure_markup( + image="top-lcp-content-types-2025.png", + caption="Top three LCP content types segmented by device", + description="Bar chart showing the top LCP content types for desktop and mobile in 2025. For desktop, 85.3% of pages have images as the LCP content type, while 76.0% of mobile pages have images as their LCP content. Text accounts for 14.4% of LCP content on desktop and 23.7% on mobile. Inline images are rare, making up 0.3% of LCP content on desktop and 0.4% on mobile.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1953839389&format=interactive", + sheets_gid="1342917583", + sql_file="lcp_resource_type.sql" + ) +}} + +The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. Inline images (data URIs embedded directly in HTML) remain negligible at under 0.5% for both desktop and mobile pages, suggesting developers recognize that base64 encoding bloats document size and makes no use of caching. + +#### LCP Image Formats + +{{ figure_markup( + image="lcp-image-formats-2025.png", + caption="Percentage of pages that use a given image file format for their LCP images.", + description="Bar chart showing the distribution of LCP (Largest Contentful Paint) image formats for desktop and mobile. JPG is the most common format, used by 57% of desktop pages and a similar percentage of mobile pages. PNG is the second most common format, used by 26% of pages. WebP follows with 11%, while other formats such as MP4, SVG, GIF, and AVIF are used by less than 2% of pages. ICO, HEIC, and HEIF formats are barely used, with their percentages rounding to 0% for both desktop and mobile.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=319360439&format=interactive", + sheets_gid="1338677449", + sql_file="lcp_format.sql" + ) +}} + +Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. + +Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). There are some encouraging signs though– JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. + +This slow adoption likely reflects several factors: the inertia of existing content management systems, concerns about browser compatibility (though both formats now have broad support), and the effort required to shift. Also to note is the 0% adoption of HEIC and HEIF formats, this is likely due to their association with Apple's ecosystem and limited browser support. + +#### Cross Hosted LCP Images + +The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images, however, require additional setup—DNS lookup, TCP handshake, and TLS negotiation—adding latency before the first byte even arrives. + +{{ figure_markup( + image="cross-hosted-lcp-images-2025.png", + caption="Cross-hosted LCP images.", + description="Bar chart showing same host is used for the LCP image for 51% of desktop and 44% of mobile pages, cross host for 18% and 16% respectively, and other content is the LCP element for 32% of desktop and 40% of mobile pages.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=820268406&format=interactive", + sheets_gid="540816699", + sql_file="lcp_host.sql" + ) +}} + +Our data shows that 51% of desktop pages and 44% of mobile pages serve their LCP image from the same host as the document. Cross-hosted LCP images account for 16-18% of pages—a meaningful portion that may be paying a connection overhead cost unless mitigated with [preconnect hints](https://web.dev/learn/performance/resource-hints#preconnect). The "other content" category (32% desktop, 40% mobile) represents pages where the LCP element isn't an image at all, likely text blocks or background elements. The higher mobile percentage for "other content" may reflect responsive design patterns where hero images are deprioritized on smaller viewports, though we do not conclusively know using this data alone. + +#### LCP Resource Prioritization + +Since resource load delay phase often constitutes a large portion of LCP time, browsers provide tools to help accelerate critical resources. The fetchpriority="high" attribute tells the browser to prioritize a resource higher than it normally would—useful since images are typically not considered high priority even when they're the LCP element. Meanwhile, \ instructs the browser to fetch a resource before it would naturally discover it in the HTML. + +{{ figure_markup( + image="adoption-of-lcp-prior-2025.png", + caption="Percentage of pages using different LCP prioritization techniques, segmented by device type.", + description="Bar chart showing adoption of LCP prioritization techniques on desktop and mobile. Preload usage is at 2.2% desktop and 2.1% mobile. fetchpriority="high" shows the highest adoption at 16.3% desktop and 17.3% mobile. fetchpriority="low" is rarely used at 0.3% for both device types.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1243485141&format=interactive", + sheets_gid="1463760382", + sql_file="lcp_async_fetchpriority.sql" + ) +}} + +Adoption of fetchpriority="high" has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024\. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. + +The 0.3% of pages using fetchpriority="low" on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). + +#### LCP lazy loading + +Lazy loading is a technique that defers loading offscreen images until they're needed, helping reduce initial page weight and prioritize critical resources. It's a valuable optimization—except when applied to the LCP image. Since lazy loading waits until an image nears the viewport before fetching it, using it on the LCP element delays the very content users are waiting to see. + +{{ figure_markup( + caption="Percentage of desktop and mobile pages that lazy load the LCP image.", + content="16%", + classes="big-number", + sheets_gid="1877819046", + sql_file="lcp_lazy.sql" +) +}} + +Overall, about 16% of pages lazy load their LCP image on both desktop and mobile—a figure that has held steady since 2024\. However, the composition has shifted: native loading="lazy" usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind data-src attributes have decreased (from 6.7% to 5.9% on mobile). This shift toward native lazy loading is generally positive for the web—it's more standardized and works better with browser optimizations—but it doesn't solve the underlying issue of lazy loading being applied too broadly. + +### Loading Speed Conclusion + +* FCP and LCP have both improved since 2024, with desktop consistently outperforming mobile. For FCP, roughly half of the gains appear tied to TTFB improvements, with the rest likely due to browser engine enhancements. +* Image optimization for LCP remains a mixed picture. While there's a gradual shift from JPG to WebP, adoption of modern formats is slow. +* About 16% of web pages still lazy load their LCP image, which directly harms load times. ## Interactivity From b97d97a15bd9b2aaee4d779e968d2a2be2d9629b Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 15:43:40 -0800 Subject: [PATCH 46/88] Update performance.md for clarity and updated metrics Refine web performance metrics and descriptions for clarity and accuracy. Update statistics and insights for mobile and desktop performance improvements. --- src/content/en/2025/performance.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 5d5948f9435..5513288da57 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -24,13 +24,15 @@ featured_stat_label_3: TODO ## Introduction -Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable and consistent to end users. +Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable to end users. -Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads, keeping layouts visually stable, and avoiding unexpected changes helps users understand page behavior and feel in control as they interact with a site. Although these aspects can be difficult to measure directly, they play an important role in how users perceive and engage with a website. +Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable helps users understand page behavior and feel in control as they interact with a site. -These considerations have influenced the development and adoption of user-centric performance metrics called **Core Web Vitals**. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. +These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. -These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of the loading behavior of page resources (fonts, images, CSS and JavaScript files). Together, these signals provide important context for understanding where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. +These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of page resource loading behavior. Together, these signals provide insight into where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. + +The Web Almanac performance chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. @@ -49,13 +51,12 @@ Core Web Vitals are Google's key performance metrics that measure how fast, resp {{ figure_markup( image="good-core-web-vitals-devices-years.png", caption="The percent of websites having good CWV, segmented by year and desktop vs mobile.", - description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", +description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQym[…]OEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -TODO: Does it matter that the above image uses the term "Phone" in its legend, where most others use "Mobile"? Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This significant rise in mobile performance is largely attributable to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. @@ -263,9 +264,8 @@ For an origin to receive a "good" INP score, at least 75% of all sessions need a description="Stacked bar chart showing INP performance by device, categorized as good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For desktop, 97% of websites have good INP, 2% need improvement, and less than 1% perform poorly. For phones, 77% of websites have good INP, 21% need improvement, and 3% perform poorly.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=73846591&format=interactive", sheets_gid="1060077014", - sql_file="inp_by_device.sql" + sql_file="web_vitals_by_device.sql" ) }} -TODO: Does it matter that the above image uses the term "Phone" in its legend, where most others use "Mobile"? In 2025, mobile INP performance showed encouraging improvement, with 77% of websites achieving good scores—up from 74% in 2024. This 3 percentage point gain represents meaningful progress, as millions of websites now deliver more responsive experiences to mobile users. Desktop performance remained exemplary at 97%, maintaining the high standard established in previous years. From e1654044c9f270a0464e5b1d1efbafa980d4feb8 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 15:52:22 -0800 Subject: [PATCH 47/88] Refine Early Hints section for clarity and conciseness --- src/content/en/2025/performance.md | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 5513288da57..eeda85835bf 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -534,15 +534,13 @@ Despite gradual improvements, most pages continue to leave layout decisions to t ### Overview -[Early Hints](https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Status/103) provide a "heads up" to the browser about assets that it will need for the page that the the browser has just requested. +[Early Hints](https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Status/103) provide an early signal to the browser about the resources it will need to load for the requested page. -Early Hints are sent from the server to the browser while the requested page is still being prepared. In this way, browsers could start taking action to optimistically preconnect to other domains or preload an asset before the requested page has been returned to it. +Early Hints are sent from the server to the browser while the requested page is still being prepared. In this way, browsers can start taking action to optimistically preconnect to other domains or preload an asset before the requested page has been returned to it. -This allows Early Hints to have an absolute impact on the loading performance of the currently requested pages. Consider if, rather than having to wait for the HTML to return to the browser, and the parser to find the link (or even preload link) for the main CSS file and/or LCP asset, it could begin fetching those assets before the HTML was even returned to the browser. +This allows Early Hints to have an absolute impact on the loading performance of the currently requested pages. Consider if, rather than having to wait for the HTML to return to the browser, and the parser to find the link (or even preload link) for the main CSS file and/or LCP asset, it could begin fetching those assets before the HTML was even returned to the browser. This could allow for an FCP that is nearly perfectly rendered, in a single paint. -This could allow for an FCP that is nearly perfectly rendered, in a single paint. - -Early Hints can also contain crossorigin attributes and CSP header information, though [for security reasons](https://www.rfc-editor.org/rfc/rfc8297#section-3) it is recommended that they only be used over HTTP/2 or higher. +Since Early Hints can also contain crossorigin attribute and CSP header information, it is recommended that they only be used over HTTP/2 or higher for [for security reasons](https://www.rfc-editor.org/rfc/rfc8297#section-3). ### Usage From 80f1feaea91806c7ada48831b5bb66c8e51ecb8e Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 16:08:22 -0800 Subject: [PATCH 48/88] Fix link and enhance Core Web Vitals section formatting Updated the performance chapter to fix a broken link and improve the formatting of Core Web Vitals descriptions. --- src/content/en/2025/performance.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index eeda85835bf..e4a92641674 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -42,11 +42,16 @@ What's new this year? ### Data Sources and Methodology -This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a very large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). TODO: Fix this link, currently 404. +This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). ## Core Web Vitals Summary -Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful; Interaction to Next Paint (INP), which reflects how responsive the page is to user input; and Cumulative Layout Shift (CLS), which measures unexpected layout changes that occur during a page's lifetime. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. +Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include: +* Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful. +* Interaction to Next Paint (INP), which reflects how responsive the page is to user input. +* Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page's lifetime. + +The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. {{ figure_markup( image="good-core-web-vitals-devices-years.png", From 9ab28ccde761b5b9e72a85b13d029edfb775b9b5 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 16:27:49 -0800 Subject: [PATCH 49/88] edits based on TODO --- src/content/en/2025/performance.md | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e4a92641674..4cc7f23e0c2 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -77,15 +77,12 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Performance metrics for top mobile websites show a clear distinction, however, CWV scores drop significantly for less popular sites: +Core Web Vitals for top mobile websites show a clear distinction, however the scores drop significantly for less popular sites: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. - The next 10,000 websites score 42%. - The subsequent 1 million websites score 37%. -This data suggests that top-tier websites are prioritizing performance improvements, while mid-tier websites are still lagging. - -In contrast, Desktop performance metrics are more uniformly distributed. This disparity highlights a significant gap in the focus on mobile web app performance compared to desktop, which is likely due to an increasing concentration on native applications. -TODO: Could this also have to do with some entities/developers still not focusing properly on mobile? +In contrast, Desktop Core Web Vitals are more evenly distributed. This likely reflects stronger performance investment among top sites, while less popular sites rely more on default setups especially on mobile, whereas desktop performance benefits from more powerful devices and more stable conditions. {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", From fb9a2adf848bf0142de851dff22195bce0f0a34f Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 16:55:16 -0800 Subject: [PATCH 50/88] code review edits --- src/content/en/2025/performance.md | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 4cc7f23e0c2..676a2466189 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -94,15 +94,11 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile. This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. -TODO: Could also be that Home Pages get updated more frequently and introduce more varied components, whereas secondary pages might be more templatized, so perhaps more stable? +Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile. This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. -Soft navigation support is expected to aid in a more comprehensive collection of CWV data for within the page navigation. +Modern websites increasingly use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for soft navigations is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. -While CWV data indicates better overall performance for secondary pages, let's dive deeper into the specific aspects of: -- loading performance -- interactivity and -- visual stability +Let’s examine the different aspects of performance to better understand these trends, starting with **Loading Speed**, followed by **Interactivity** and **Visual Stability**, and concluding with **Early Hints** and **Speculation Rules**. ## Loading Speed From 352c7e26274a89b5409b95352c5dd4c9b7f5e6e7 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 17:09:18 -0800 Subject: [PATCH 51/88] Update performance.md --- src/content/en/2025/performance.md | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 676a2466189..591e8258ebe 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -34,11 +34,7 @@ These metrics are complemented by traditional indicators such as Date: Wed, 14 Jan 2026 17:23:44 -0800 Subject: [PATCH 53/88] Enhance conclusion section with performance analysis Added a conclusion summarizing the analysis of web performance trends, highlighting improvements in mobile interactivity, the adoption of new standards, and ongoing challenges in web performance basics. --- src/content/en/2025/performance.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 6e30846ee43..75498e8e278 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -605,4 +605,12 @@ Conversely, Speculation Rules now come baked into [WordPress](https://make.wordp Also notable is the parity between mobile and desktop usage; seldom more than a 1% difference. Meaning, where Speculation Rules are implemented, they are likely done so similarly for all device types. ## Conclusion -TODO (Unassigned) + +Our analysis of this year’s data paints a picture of a web that is becoming more responsive, yet remains a bit hard to optimize. We see clear progress in how the web feels to use: mobile interactivity has improved significantly, with the performance gap between phones and desktop computers finally starting to narrow. This tells us that perhaps the industry's focus on new metrics like Interaction to Next Paint (INP) is working, and developers are trying to prioritize the interactions that matter most to users. + +However, we also observe a "performance divide" in how different segments of the web adopt new standards. For example, we saw that the most popular sites lead the way in improving interactivity (INP), likely through manual optimization of complex JavaScript. In contrast, newer standards like Speculation Rules are seeing their highest adoption not at the top, but in the "long tail" of the web, driven by platform-level integrations in popular CMSs like WordPress. This suggests that the future of performance may rely less on individual manual effort and more on smart defaults baked into the tools that build the web. + +Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues persist: nearly 40% of mobile pages still use animations that can cause stuttering (non-composited), and the majority of pages still lack the correct sizing for images or the resource hints needed to load fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler HTML and CSS best practices that ensure visual stability. + +Finally, the landscape of measurement itself is maturing. With Firefox/Safari adding support for INP, we are moving toward a world where "good performance" means the same thing across all browsers. As we look ahead, the goal for developers is to look past the top-level scores and bridge the gap between potential and practice, leveraging both the manual optimizations used by top sites and the automated tools of the modern web to deliver reliable experiences for every user. + From 4a3a6efc9cb07d2b9e1415ecd4d01fd7d892b8b9 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 17:25:20 -0800 Subject: [PATCH 54/88] Refactor performance.md for clarity and updates Removed duplicate sentence about the Web Almanac performance chapter and added mention of Early Hints and Speculation Rules. --- src/content/en/2025/performance.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 75498e8e278..7c0d764665e 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -32,8 +32,6 @@ These considerations have influenced the development and adoption of user-centri These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of page resource loading behavior. Together, these signals provide insight into where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. -The Web Almanac performance chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. - The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year, we also include analysis of **Early Hints** and **Speculation Rules** as part of the performance chapter. ### Data Sources and Methodology From 4157a4236341921f3d9e96975955a5a80797a4ad Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 17:37:40 -0800 Subject: [PATCH 55/88] add what makes good CWV --- src/content/en/2025/performance.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 7c0d764665e..29e4131b8c2 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -40,10 +40,13 @@ This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) ## Core Web Vitals Summary -Core Web Vitals are Google's key performance metrics that measure how fast, responsive, and visually stable a webpage feels to real users. These include: -* Largest Contentful Paint (LCP), which indicates when a page's main content becomes visible and the page first feels useful. -* Interaction to Next Paint (INP), which reflects how responsive the page is to user input. -* Cumulative Layout Shift (CLS), which measures how often unexpected layout changes occur during a page's lifetime. +Core Web Vitals are Google’s main metrics for understanding how a webpage feels to real users. A page is considered good when: + +- Largest Contentful Paint (LCP): the main content appears quickly, so the page feels useful within 2.5 seconds. +- Interaction to Next Paint (INP): the page responds to clicks or taps almost immediately, within 200 milliseconds. +- Cumulative Layout Shift (CLS): the layout stays mostly stable, with very little unexpected movement (score ≤ 0.1). + +When a page meets these thresholds for most users, it delivers a good overall page experience. The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. From 5c38221a9e52bc345a7fc1105ae816e762355430 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 18:31:56 -0800 Subject: [PATCH 56/88] Update performance.md to reflect changes in unload usage --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 29e4131b8c2..0a6237c255b 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -393,7 +393,7 @@ While BFCache behavior is ultimately handled by the browser, developers can recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the 2025 graph. +Browsers recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. {{ figure_markup( image="unload-handler-usage.png", From afc0205d3f9e9cc9f94f372221aaa1c99c93e713 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 18:33:52 -0800 Subject: [PATCH 57/88] Fix formatting and update support details for Early Hints --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 0a6237c255b..97f332e4fe6 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -569,7 +569,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ### Support -Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, “Preconnect" was supported in all browsers, and “Preload" in all except Safari. +Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, "Preconnect" is supported in all browsers, and "Preload" in all except Safari. With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. From 7e313c8321070e1bff7d865d7afba03eea8c9fc6 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 18:36:14 -0800 Subject: [PATCH 58/88] Rephrase sentence about Early Hints usage in 2025 --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 97f332e4fe6..e2888ca8d1e 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -555,7 +555,7 @@ This is likely related to the complexities of setting up and configuring Early H The mobile/desktop parity is also quite noticeable; never more than a 1% difference, and typically closer to 0.5%. Meaning, where Early Hints are implemented, they are likely done so similarly for all device types. -Though as low as the usage for 2025 is, it is also noticeable that there has been an increase in usage over the past three years. +While usage remains low in 2025, there has been a noticeable increase over the past three years. {{ figure_markup( image="early-hints-usage-by-year.png", From 8ac707c2ca988fde1ed2175bc8825d77585c9a05 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 20:17:34 -0800 Subject: [PATCH 59/88] Revise performance chapter details and metrics Updated performance chapter metadata and improved author bios. Revised performance metrics and statistics for clarity and accuracy. --- src/content/en/2025/performance.md | 34 +++++++++++++++--------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e2888ca8d1e..71dafcdaa18 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -1,25 +1,25 @@ --- #See https://github.com/HTTPArchive/almanac.httparchive.org/wiki/Authors'-Guide#metadata-to-add-at-the-top-of-your-chapters title: Performance -description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. +description: Performance chapter of the 2025 Web Almanac covering First Contentful Paint (FCP), Time to First Byte (TTFB), and Core Web Vitals, with deep dives into Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. authors: [25prathamesh, himanshujariyal, hfhashmi] reviewers: [aarontgrogg, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] -himanshujariyal_bio: TODO -25prathamesh_bio: TODO +himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft, working on the Bing Performance team. His work focuses on improving web performance at scale, with experience optimizing large-scale production systems across both enterprise platforms and consumer-facing products. +25prathamesh_bio: Prathamesh Rasam is a web performance expert and consultant who has worked across a range of consumer and enterprise web platforms. He is passionate about improving user experience and has built a large-scale Real User Measurement system that processes over 100 million pageviews per month. hfhashmi_bio: TODO aarontgrogg_bio: TODO results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit featured_quote: TODO -featured_stat_1: TODO -featured_stat_label_1: TODO -featured_stat_2: TODO -featured_stat_label_2: TODO -featured_stat_3: TODO -featured_stat_label_3: TODO +featured_stat_1: 97% +featured_stat_label_1: of the websites have good INP (under 200 milliseconds) on Desktop. +featured_stat_2: 86.6% +featured_stat_label_2: of mobile pages utilize at least one web font, which is often associated with visual instability and low CLS scores. +featured_stat_3: 28% +featured_stat_label_3: of desktop pages among the top 1,000 websites use unload handlers, down from 35% in 2024. --- ## Introduction @@ -142,7 +142,7 @@ The TTFB data provides partial insight into these FCP gains between 2024 and 202 ### Largest Contentful Paint -To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%)—a gap that likely reflects the compounding effects of slower networks and less powerful hardware**.** Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%)—a gap that likely reflects the compounding effects of slower networks and less powerful hardware. Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. {{ figure_markup( image="lcp-performance-by-device-2025.png", @@ -213,7 +213,7 @@ Since resource load delay phase often constitutes a large portion of LCP time, b {{ figure_markup( image="adoption-of-lcp-prior-2025.png", caption="Percentage of pages using different LCP prioritization techniques, segmented by device type.", - description="Bar chart showing adoption of LCP prioritization techniques on desktop and mobile. Preload usage is at 2.2% desktop and 2.1% mobile. fetchpriority="high" shows the highest adoption at 16.3% desktop and 17.3% mobile. fetchpriority="low" is rarely used at 0.3% for both device types.", + description='Bar chart showing adoption of LCP prioritization techniques on desktop and mobile. Preload usage is at 2.2% desktop and 2.1% mobile. fetchpriority="high" shows the highest adoption at 16.3% desktop and 17.3% mobile. fetchpriority="low" is rarely used at 0.3% for both device types.', chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1243485141&format=interactive", sheets_gid="1463760382", sql_file="lcp_async_fetchpriority.sql" @@ -393,7 +393,7 @@ While BFCache behavior is ultimately handled by the browser, developers can recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. Compared to 2024, unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. +Browsers recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. [Compared to 2024](../2024/performance#backforward-cache-bfcache), unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. {{ figure_markup( image="unload-handler-usage.png", @@ -485,7 +485,7 @@ To effectively minimize layout shifts caused by fonts, it is crucial to load ess {{ figure_markup( image="font-resource-hint-usage.png", caption="Adoption of resource hints for font resources.", - description=”Bar chart showing the percentage of pages using font-related resource hints on desktop and mobile in 2025. `dns-prefetch` is the most commonly used hint, appearing on 24% of pages on both `desktop` and `mobile`, followed by `preconnect` at 22% on each device. `preload` is used less frequently at 15% on `desktop` and 16% on `mobile`, while `prefetch` remains rare at around 5% on both platforms.”, + description='Bar chart showing the percentage of pages using font-related resource hints on desktop and mobile in 2025. `dns-prefetch` is the most commonly used hint, appearing on 24% of pages on both `desktop` and `mobile`, followed by `preconnect` at 22% on each device. `preload` is used less frequently at 15% on `desktop` and 16% on `mobile`, while `prefetch` remains rare at around 5% on both platforms.', chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=111695502&format=interactive", sheets_gid="667157886", sql_file="font_resource_hint_usage.sql" @@ -512,10 +512,10 @@ Non-composited animations remain common, appearing on 40.19% of mobile pages and {{ figure_markup( image="non-composite-animations-per-page.png", caption="Adoption of resource hints for font resources.", - description=”Bar chart showing the number of non-composited animations per page by percentile for desktop and mobile in 2025. Both desktop and mobile report zero non-composited animations through the 50th percentile. At the 75th percentile, pages have 3 animations on desktop and 2 on mobile, increasing sharply at the 90th percentile to 13 on desktop and 11 on mobile.”, -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1922146788&format=interactive”, + description='Bar chart showing the number of non-composited animations per page by percentile for desktop and mobile in 2025. Both desktop and mobile report zero non-composited animations through the 50th percentile. At the 75th percentile, pages have 3 animations on desktop and 2 on mobile, increasing sharply at the 90th percentile to 13 on desktop and 11 on mobile.', +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1922146788&format=interactive", sheets_gid="1135625211", - sql_file="cls_animations.sql” + sql_file="cls_animations.sql" ) }} @@ -592,7 +592,7 @@ In the chart below, which shows the percentage of home pages that contain Specul {{ figure_markup( image="speculation-rules-usage.png", caption="Speculation Rules usage by website rank and device (2025)", - description=”The chart shows the percentage of home pages that contain Speculation Rules by website rank on desktop and mobile in 2025. Among the top 1,000 websites, Speculation Rules appear on 3% of desktop pages and 5% of mobile pages, with usage increasing slowly as rank decreases. For all websites, Speculation Rules are present on 24% of desktop pages and 35% of mobile pages, with desktop and mobile usage nearly equal at every rank.”, + description='The chart shows the percentage of home pages that contain Speculation Rules by website rank on desktop and mobile in 2025. Among the top 1,000 websites, Speculation Rules appear on 3% of desktop pages and 5% of mobile pages, with usage increasing slowly as rank decreases. For all websites, Speculation Rules are present on 24% of desktop pages and 35% of mobile pages, with desktop and mobile usage nearly equal at every rank.', chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=826167809&format=interactive", sheets_gid="1244034811", sql_file="speculation_rules_rank.sql" From 76f101843abce064b1de91ee8be55e3dc341b08a Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 21:23:30 -0800 Subject: [PATCH 60/88] make more factual, follow author/editor guides Updated the performance chapter for the 2025 Web Almanac, refining descriptions and statistics related to Core Web Vitals, including improvements in mobile and desktop performance metrics, and adjustments in featured quotes and statistics. --- src/content/en/2025/performance.md | 57 ++++++++++++++++-------------- 1 file changed, 31 insertions(+), 26 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 71dafcdaa18..46d4ac9dc6c 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -1,7 +1,7 @@ --- #See https://github.com/HTTPArchive/almanac.httparchive.org/wiki/Authors'-Guide#metadata-to-add-at-the-top-of-your-chapters title: Performance -description: Performance chapter of the 2025 Web Almanac covering First Contentful Paint (FCP), Time to First Byte (TTFB), and Core Web Vitals, with deep dives into Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). +description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. authors: [25prathamesh, himanshujariyal, hfhashmi] reviewers: [aarontgrogg, tunetheweb] @@ -13,13 +13,13 @@ himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft hfhashmi_bio: TODO aarontgrogg_bio: TODO results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit -featured_quote: TODO +featured_quote: Performance gains are real, but uneven as top sites lead on interactivity, while long-tail adoption of new features is increasingly driven by CMS defaults. featured_stat_1: 97% -featured_stat_label_1: of the websites have good INP (under 200 milliseconds) on Desktop. +featured_stat_label_1: Websites with good INP on desktop (≤200 ms) featured_stat_2: 86.6% -featured_stat_label_2: of mobile pages utilize at least one web font, which is often associated with visual instability and low CLS scores. +featured_stat_label_2: Mobile pages using at least one web font, likely causing layout shifts. featured_stat_3: 28% -featured_stat_label_3: of desktop pages among the top 1,000 websites use unload handlers, down from 35% in 2024. +featured_stat_label_3: Top 1,000 desktop pages using unload handlers, down from 35% in 2024. --- ## Introduction @@ -28,7 +28,7 @@ Web performance refers to how quickly and smoothly web pages load and respond to Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable helps users understand page behavior and feel in control as they interact with a site. -These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. While Core Web Vitals were initially available primarily in Chromium-based browsers, support has expanded, with Safari and Firefox now reporting key Core Web Vitals, enabling more consistent cross-browser performance measurement. +These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. Core Web Vitals measurement is becoming less Chrome only. Support for reporting INP and other Web Vitals in non-Chromium browsers has improved, which can help compare user experience more consistently across browsers. These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of page resource loading behavior. Together, these signals provide insight into where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. @@ -60,7 +60,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This significant rise in mobile performance is largely attributable to advancements in mobile hardware, faster internet connections, and more optimized browsers and applications. +Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. @@ -74,12 +74,12 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Core Web Vitals for top mobile websites show a clear distinction, however the scores drop significantly for less popular sites: +Mobile Core Web Vitals varies more by rank than desktop. Top mobile websites show a clear distinction, however the scores drop significantly for less popular sites: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. - The next 10,000 websites score 42%. - The subsequent 1 million websites score 37%. -In contrast, Desktop Core Web Vitals are more evenly distributed. This likely reflects stronger performance investment among top sites, while less popular sites rely more on default setups especially on mobile, whereas desktop performance benefits from more powerful devices and more stable conditions. +In contrast, Desktop Core Web Vitals are more evenly distributed. This pattern may be related to differences in page complexity and technology choices across sites and devices, but this data only shows what is happening, not why. {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", @@ -91,7 +91,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Secondary pages show a significant advantage over home pages in achieving good CWV results, with a 14% lead on Desktop and an 11% lead on Mobile. This performance gap suggests that secondary pages often benefit from having partially cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. +Secondary pages show higher CWV pass rates than home pages, with a 14% lead on desktop and an 11% lead on mobile. This performance gap suggests that secondary pages often benefit from having cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. Modern websites increasingly use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for soft navigations is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. @@ -108,7 +108,7 @@ To understand the user's first impression of a webpage's speed, we look at [Firs {{ figure_markup( image="fcp-performance-by-year-and-device-2025.png", caption="Percentage of websites having good, needs improvement, and poor FCP, segmented by year and device type.", - description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: good (under 0.8 seconds), needs improvement (0.8–1.8 seconds), and poor (over 1.8 seconds). In 2024, 68% of desktop websites had good TTFB, 22% needed improvement, and 10% performed poorly. In 2025, 70% of desktop websites have good TTFB, 21% need improvement, and 9% perform poorly. For mobile websites in 2024, 51% of websites had good TTFB, 31% needed improvement, and 18% performed poorly. In 2025, 55% of mobile websites have good TTFB, 29% need improvement, and 16% perform poorly.", + description="Bar graph showing the distribution of First Contentful Paint (FCP) performance by year and device, categorized as good, needs improvement, and poor. On desktop, the share of pages with good FCP increased from 68% in 2024 to 70% in 2025, while poor FCP decreased from 10% to 9%. On mobile, good FCP improved from 51% in 2024 to 55% in 2025, with a corresponding decline in poor FCP from 18% to 16%.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1596764241&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" @@ -138,11 +138,11 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -The TTFB data provides partial insight into these FCP gains between 2024 and 2025\. Desktop sites achieving 'Good' TTFB increased by 1% since 2024, while mobile saw a 2% improvement. This suggests network and server-side optimizations contributed reasonably (\~half) to overall FCP improvements. The remaining FCP gains likely stem from client-side factors—such as elimination of render-blocking resources, improved Chrome browser engine, or better user hardware in general. Given that there are no significant improvements in number of pages passing the Lighthouse [render-blocking resources audit](https://developer.chrome.com/docs/lighthouse/performance/render-blocking-resources) this year compared to 2024, it would seem that a key factor improving FCP across both device types could be the much [improved rendering engine](https://thinksproutinfotech.com/news/how-google-chrome-received-the-highest-ever-speedometer-score/) in Chrome since 2024, which reduces rendering times regardless of individual website optimizations. +The TTFB data provides partial insight into these FCP gains between 2024 and 2025. Desktop sites achieving 'Good' TTFB increased by 1% since 2024, while mobile saw a 2% improvement. This suggests network and server-side optimizations could have contributed to the overall FCP improvements. The remaining FCP gains likely stem from client-side factors—such as elimination of render-blocking resources, improved Chrome browser engine, or better user hardware in general. ### Largest Contentful Paint -To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%)—a gap that likely reflects the compounding effects of slower networks and less powerful hardware. Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. {{ figure_markup( image="lcp-performance-by-device-2025.png", @@ -170,7 +170,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. Inline images (data URIs embedded directly in HTML) remain negligible at under 0.5% for both desktop and mobile pages, suggesting developers recognize that base64 encoding bloats document size and makes no use of caching. +The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. + +Inline images (data URIs embedded directly in HTML) remain rare at around 0.5% of pages, indicating limited and careful adoption and awareness of the trade-offs related to larger HTML payloads and caching efficiency. #### LCP Image Formats @@ -188,11 +190,11 @@ Given this continued dominance of images as the LCP element, it becomes relevant Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). There are some encouraging signs though– JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. -This slow adoption likely reflects several factors: the inertia of existing content management systems, concerns about browser compatibility (though both formats now have broad support), and the effort required to shift. Also to note is the 0% adoption of HEIC and HEIF formats, this is likely due to their association with Apple's ecosystem and limited browser support. +This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. #### Cross Hosted LCP Images -The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images, however, require additional setup—DNS lookup, TCP handshake, and TLS negotiation—adding latency before the first byte even arrives. +The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images may incur additional connection setup (DNS/TCP/TLS), especially when the origin isn’t already connected, increasing the time before the download can start. {{ figure_markup( image="cross-hosted-lcp-images-2025.png", @@ -237,7 +239,7 @@ Lazy loading is a technique that defers loading offscreen images until they're n ) }} -Overall, about 16% of pages lazy load their LCP image on both desktop and mobile—a figure that has held steady since 2024\. However, the composition has shifted: native loading="lazy" usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind data-src attributes have decreased (from 6.7% to 5.9% on mobile). This shift toward native lazy loading is generally positive for the web—it's more standardized and works better with browser optimizations—but it doesn't solve the underlying issue of lazy loading being applied too broadly. +Overall, about 16% of pages lazy load their LCP image on both desktop and mobile—a figure that has held steady since 2024. However, the composition has shifted: native loading="lazy" usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind data-src attributes have decreased (from 6.7% to 5.9% on mobile). Native `loading="lazy"` accounts for a larger share of LCP lazy-loading than custom approaches, indicating a shift toward standardized browser features. ### Loading Speed Conclusion @@ -313,8 +315,11 @@ TBT is a lab metric and is often used as a proxy for field-based responsiveness The median TBT on mobile increased to 1,916 milliseconds in 2025—up 58% from 1,209 milliseconds in 2024. Desktop TBT also rose from 67 milliseconds to 92 milliseconds. At the 90th percentile, mobile users now face over 7.5 seconds of blocking time before the page becomes fully interactive. -This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors explain this divergence. Sites may have optimized critical interactions that impact INP while allowing background JavaScript to grow heavier. Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. Modern code-splitting strategies defer non-critical JavaScript after initial interactions, reducing early blocking captured by INP while still contributing to total blocking time. Additionally, third-party scripts continue to proliferate, executing outside critical interaction paths. - +This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors could be behind this divergence. +- Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. +- Some sites may be optimizing the interactions that dominate INP while still executing substantial background work that shows up in TBT. +- The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium’s [INP metric changelog](https://chromium.googlesource.com/chromium/src/+/main/docs/speed/metrics_changelog/inp.md). + The widening gap between desktop (92ms median) and mobile (1,916ms median) reinforces the persistent performance inequality between device classes, suggesting that despite INP improvements, the fundamental challenge of main thread blocking has intensified. ### Interactivity conclusion @@ -328,7 +333,7 @@ The main takeaways of the interactivity results are: ## Visual Stability -Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. In 2025, CLS adoption and stability continue to trend positively on both desktop and mobile devices. This section focuses on recent years particularly 2023 through 2025 highlighting progress, device differences, and shifts over the last year. +Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. In 2025, CLS metric continues to trend positively on both desktop and mobile devices. This section focuses on highlighting progress, device differences, and shifts over the recent years. ### Cumulative Layout Shift (CLS) @@ -420,7 +425,7 @@ Another common reason for websites to fall in the bfcache ineligibility category 23.4% of the sites now use `Cache-Control: no-store`, up from 21% [in 2024](../2024/performance#backforward-cache-bfcache). This increase may reflect the growing prevalence of authenticated and personalized experiences, stricter security or compliance requirements, and evolving browser behavior that has reduced the performance impact of `Cache-Control: no-store`, particularly with respect to BFCache eligibility. -Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome has changed this behavior in 2025 and now allows such pages into BFCache when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. +Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome may allow BFCache for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. ### CLS Best Practices @@ -523,7 +528,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Visual stability across the web has advanced significantly over the years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. -Despite gradual improvements, most pages continue to leave layout decisions to the browser, leading to unnecessary visual shifts. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. +Despite gradual improvements, unsized images remain common and font-loading patterns still create opportunities for layout shifts, suggesting many sites haven’t fully implemented known CLS mitigations. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. ## Early Hints @@ -579,7 +584,7 @@ Also note that Early Hints are available via [Fastly since 2020](https://www.fas ### Overview -[Speculation Rules](https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently Chromium-only) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. +[Speculation Rules](https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently implemented primarily in Chromium-based browsers) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. While Speculation Rules do not help the current page’s performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. @@ -601,7 +606,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user’s exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. -Conversely, Speculation Rules now come baked into [WordPress](https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/), which powers a large share of the Internet, but perhaps not a large share of the top sites. +Conversely, Speculation Rules now come baked into [WordPress](https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/), which powers a large share of the Internet, which may help explain higher adoption in the long tail. Also notable is the parity between mobile and desktop usage; seldom more than a 1% difference. Meaning, where Speculation Rules are implemented, they are likely done so similarly for all device types. @@ -611,7 +616,7 @@ Our analysis of this year’s data paints a picture of a web that is becoming mo However, we also observe a "performance divide" in how different segments of the web adopt new standards. For example, we saw that the most popular sites lead the way in improving interactivity (INP), likely through manual optimization of complex JavaScript. In contrast, newer standards like Speculation Rules are seeing their highest adoption not at the top, but in the "long tail" of the web, driven by platform-level integrations in popular CMSs like WordPress. This suggests that the future of performance may rely less on individual manual effort and more on smart defaults baked into the tools that build the web. -Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues persist: nearly 40% of mobile pages still use animations that can cause stuttering (non-composited), and the majority of pages still lack the correct sizing for images or the resource hints needed to load fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler HTML and CSS best practices that ensure visual stability. +Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues still persist: nearly 40% of mobile pages still use animations that risk visual instability, and the majority of pages still lack the correct sizing for images or the resource hints needed to load fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler HTML and CSS best practices that ensure visual stability. -Finally, the landscape of measurement itself is maturing. With Firefox/Safari adding support for INP, we are moving toward a world where "good performance" means the same thing across all browsers. As we look ahead, the goal for developers is to look past the top-level scores and bridge the gap between potential and practice, leveraging both the manual optimizations used by top sites and the automated tools of the modern web to deliver reliable experiences for every user. +Finally, the landscape of measurement itself is maturing. As more browsers extend support for modern metrics like INP, cross-browser comparisons can become more consistent. As we look ahead, the goal for developers is to look past the top-level scores and bridge the gap between potential and practice, leveraging both the manual optimizations used by top sites and the automated tools of the modern web to deliver reliable experiences for every user. From 6e6605515b2bc4ebc75da08a9ff618d37573635d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 21:53:42 -0800 Subject: [PATCH 61/88] Refine language and update performance metrics section Updated language for clarity and consistency in the performance.md file, including adjustments to phrasing and the addition of new performance features. --- src/content/en/2025/performance.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 46d4ac9dc6c..e65a80b7128 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -24,15 +24,15 @@ featured_stat_label_3: Top 1,000 desktop pages using unload handlers, down from ## Introduction -Web performance refers to how quickly and smoothly web pages load and respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is accessed across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable to end users. +Web performance refers to how quickly and smoothly web pages load and also respond to user interactions. Performance plays an important role in shaping engagement, retention, and overall trust, particularly as the web is used across a wide range of devices and network conditions. Pages that feel fast and responsive encourage exploration and continued use, while experiences that feel slow or unpredictable can interrupt flow and reduce confidence. Understanding the factors that influence performance is therefore essential to building web experiences that feel reliable to end users. -Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable helps users understand page behavior and feel in control as they interact with a site. +Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable when expected helps users understand page behavior and feel in control as they interact with a website. -These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, interactivity, and visual stability. Core Web Vitals measurement is becoming less Chrome only. Support for reporting INP and other Web Vitals in non-Chromium browsers has improved, which can help compare user experience more consistently across browsers. +These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, responsiveness, and visual stability. Over the last year, support for reporting Core Web Vitals, particularly INP, has expanded beyond Chrome to include other browsers, allowing user experience to be measured more consistently across browser engines. -These metrics are complemented by traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), along with measures of page resource loading behavior. Together, these signals provide insight into where performance bottlenecks occur and how they influence overall page behavior. A comprehensive overview of modern web performance metrics and measurement techniques can be found at web.dev. +These metrics are complemented by more traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), as well as measures of page resource loading behaviour. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at web.dev. -The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year, we also include analysis of **Early Hints** and **Speculation Rules** as part of the performance chapter. +The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as **Early Hints** and **Speculation Rules**. ### Data Sources and Methodology From 1afa2836a80ac91c058f9e01bd0dca1d0be37531 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 21:56:42 -0800 Subject: [PATCH 62/88] nit: code review fix --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e65a80b7128..7b8246ddb8c 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -77,7 +77,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Mobile Core Web Vitals varies more by rank than desktop. Top mobile websites show a clear distinction, however the scores drop significantly for less popular sites: - 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. - The next 10,000 websites score 42%. -- The subsequent 1 million websites score 37%. +- The subsequent 100,000 websites score 37%. In contrast, Desktop Core Web Vitals are more evenly distributed. This pattern may be related to differences in page complexity and technology choices across sites and devices, but this data only shows what is happening, not why. @@ -568,7 +568,7 @@ While usage remains low in 2025, there has been a noticeable increase over the p description="The chart shows the percentage of pages using Early Hints by year on desktop and mobile in 2023, 2024 and 2025. Usage is quite low in all groups for all years, but there is a consistent increase across the years, from just over 1% to roughly 4%.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=888096185&format=interactive", sheets_gid="1512001974", - sql_file="TODO" + sql_file="early_hints_usage_trends.sql" ) }} From 26f24173546bd354705719c92cc2279ded651786 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 21:57:30 -0800 Subject: [PATCH 63/88] fix: missing unload handler image --- .../2025/performance/unload-handler-usage.png | Bin 0 -> 22643 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/static/images/2025/performance/unload-handler-usage.png diff --git a/src/static/images/2025/performance/unload-handler-usage.png b/src/static/images/2025/performance/unload-handler-usage.png new file mode 100644 index 0000000000000000000000000000000000000000..d3811e5e7fcb35b93ff03991d789d3555a10a768 GIT binary patch literal 22643 zcmeIacUV)|+BZBi&VZtT*ic#=Q4whtdMG-IC<-XO7m?mu=wuw4iogg`q>4yyq4yvl zAVfeZfe=W92uKMblmrMN-wKY?&Ybg{Ip6y}-}PPB;h#;iv-eu}z3%e6%UTa_YpAlb z@vwdM)mQ8{u3y#q>Z@-IzWVBG&)qEGo5?Ak%CEjMkiT*DvW~AAaXcb`&(9y?%i!k@ zlp8I#Mk!%!)A^7(X zz~Am6^H+OLfWHe04v4GZ@6DjaL-762`7H;yxVXO84mkyG{*c3R6Wj~E#h$=?<{6JD zxW{!t%7FRgz5mM(N;WYjCFlb$o@${kTxkhb%JDZhZi+!^We=O!r$2b(mfsSaqmPQN zOt23Bi5_@s4O#6ENz7I&t?O6ddNQFEa!S24f!|&XweLIHM$%l6^O}Ff=m+5HchLoT)i58lRZJQ$q4o`KH-K2qqubY_*etu z+}3PNPAGg;#C&h_`aI+Nw?QPriz)K?^}y*!UY}MfTwZKzOM-rRoy6EI4P}sBx0J~g zAC`3L@=!{xukTWx*w)81zln^k4){L!6p3!LUJ9R1oV42RRo)n1s&Z{Q9L=X3!MTSM zQWfF4ZE<(~CY)*>!I*X3Hd?3R1r7?-c5(#C}nfIFk{1(Ou{&BqdA4b zBuen&M#yw3VVX#r5P>fb+^4RacThJtn>TEHS8El~28-U$GE0=7*kmzzoX!8Vu=1A2 zro`6VaH}~(wOP?_gR18wN;?{eRL4@n7+`qscNfx|*Y)9Yft4_0%MElyOdEc)o#Fb< zqiZDE!xi|dlRj=WQ*WB@VT@nOB2e*3=bG&>T1&1vDM;(i`;SWBFE?)! z%{gZzOe0alE5VgMUg6CfF^uu&Q^B(`jFVgQ%Im@JD_{DfGp<+M0W!s@Ja#j`a$m1V zJbbfsyLQrQEDSXq32U5M=4Ny&a|-pDJc`+r{hm<$j<8bAA|Hsn+NTs9S|>PCnEfX;}cr^ zV2`?^1y1H->=V>t+~Hf}?kWRt0u{-t*)rBdwRk7Y4Yjt~?qKK!eml`Nlo5`@*^*ap zd(@}#c%pwiIn$(M15@C!%sn1AAO?6HZ^Q}n?;cvIR~Lf|)iD`8rU3meAr<+7UX@9> zq5o+vm?uFLe_N7-r_+W}O8C<4UPtnvb-p$dP*JE}$2+_y6k?>b(Qh-9eCiN^TE!$*Y4;jZb;m3v<|mJs zd>{HlNnR;~{#7Rnm*p$tF!T+W(J47RY~)6*_R{?^*`|IgzUZ4}&BP_|k@DW?4_k$J zh8dse<37_l(g)#WBoZl0Z;#}5Kkk*^sS^S(OjtWN_}iq?Iq_L)Wdrx7()(CuIKNZE z84$B`cpW{qCz{vWF0aIu4JRtF%M4Np%^R3W?>nga;@{?T3CxH7;mLr?it~b+2QsMb z>>eMsp&b2WY6W8ne?-06cgo)~eO#lrBFoeU+ZzHTU}nBF;&6sjB%!XGp4Pmz!l<{a zhxpYFZ{{sn6$n#nJqG6e#&gCR!Iinj3h^-d^!V$n?zWi~o0od)zO;x-RatI9bh;(2 ztmf;>D0M~HK$p=SAe!#x!sCn53b=aCF-E){9ECP z>~4#`{l}2hID2b|wt8J>e2N*+ps8taWiD+Hy{aZM2m9RB@qm-bFgEVUk)D;WKgOq* z>iOz)@w~u9>T_=RQ3VvtDjS2Wh6Y!H4F(cYx7%cFJG_k@UNsi}%G3p&s322*pWWGa zhwqf9X&eyOcJ|Nqlb&YNY%o^MP|E;ugB_GvF-&4)g$==^>*wM9_> z$+71H(b;!Ve2RX^xs{=A@f-L1?wsX_c`Lr*7UbKHQT(*`YxK!y{tk~mRK|+=VV*T$U5sm*m$7)B)uYhZuz}b)L->iF zYwQV+d0!Or^|k9}bJB-R7dN`qW!46bW;br3-d`j?Eip|U(5S#r?&AF`1TRawaOwsi z9g3cn5#J%7TH<`5d_rpnFFn1dADB^RVcnS8+P58of23OJ zl$scIutMUwwwh}s>RR(&^Yxf5)Pbb}Hn29F4 zpwu&@YV3^UDC_?}K^#Nb#*HrM0c4Grn85Hb|}4h$d6(Oa)ABM5agzaLU;#1}$+wtw&? 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This To effectively minimize layout shifts caused by fonts, it is crucial to load essential fonts as early as possible, ideally using resource hints. If a font loads before or very near the first render, the browser can display text using the correct font immediately. This prevents the swap from a default font, which is a common cause of layout shifts. Current data indicates that this opportunity is frequently missed. {{ figure_markup( - image="font-resource-hint-usage.png", + image="fonts-resource-hint-usage.png", caption="Adoption of resource hints for font resources.", description='Bar chart showing the percentage of pages using font-related resource hints on desktop and mobile in 2025. `dns-prefetch` is the most commonly used hint, appearing on 24% of pages on both `desktop` and `mobile`, followed by `preconnect` at 22% on each device. `preload` is used less frequently at 15% on `desktop` and 16% on `mobile`, while `prefetch` remains rare at around 5% on both platforms.', chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=111695502&format=interactive", From a0819b7f3b749e58bfab434446cca3f0fee9c9ba Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 22:03:55 -0800 Subject: [PATCH 66/88] 62.28 to 62.38 Updated the percentage of mobile pages failing to set explicit dimensions on images from 62.28% to 62.38%. --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 1f02c5ea678..07fe7a2f2e7 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -437,13 +437,13 @@ To prevent this, images should always have intrinsic dimensions defined either v {{ figure_markup( caption="The percent of mobile pages that fail to set explicit dimensions on at least one image.", - content="62.28%", + content="62.38%", classes="big-number", sheets_gid="1870744021", sql_file="cls_unsized_images.sql" )}} -In 2025, a significant share of pages still risk layout instability due to images without explicit dimensions. On mobile, 62.28% of pages fail to set dimensions on at least one image, an improvement from 66% in 2024, indicating gradual adoption of CLS friendly image practices. +In 2025, a significant share of pages still risk layout instability due to images without explicit dimensions. On mobile, 62.38% of pages fail to set dimensions on at least one image, an improvement from 66% in 2024, indicating gradual adoption of CLS friendly image practices. Desktop pages show a similar but slightly worse pattern, with 65.45% affected in 2025, down from 69% in 2024. While the downward trend is encouraging, the majority of pages still leave the browser guessing image sizes at layout time, making images one of the most persistent and preventable contributors to CLS. From 6d01894acef10c408e103d75522db7974a5c2817 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 23:02:40 -0800 Subject: [PATCH 67/88] explain U curve in mobile CWV Updated analysis of Core Web Vitals performance across mobile and desktop sites, highlighting the U-shaped pattern in site popularity and performance investment. --- src/content/en/2025/performance.md | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 07fe7a2f2e7..6bd52c6211c 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -74,12 +74,18 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Mobile Core Web Vitals varies more by rank than desktop. Top mobile websites show a clear distinction, however the scores drop significantly for less popular sites: -- 51% of the 1,000 most popular mobile websites have good Core Web Vitals (CWV), surpassing the overall mobile CWV of 48%. -- The next 10,000 websites score 42%. -- The subsequent 100,000 websites score 37%. +On mobile, the most and least popular sites tend to perform better than those in the middle of the popularity distribution. The most popular sites show better Core Web Vitals results, while performance drops for mid-popularity sites before improving again among the least popular sites. -In contrast, Desktop Core Web Vitals are more evenly distributed. This pattern may be related to differences in page complexity and technology choices across sites and devices, but this data only shows what is happening, not why. +- 51% of the 1,000 most popular mobile sites have good Core Web Vitals (CWV). +- CWV drops to 42% for the next 10,000 sites and 37% for the next 100,000. +- However, it improves to 42% for the next 1,000,000 sites and 48% for the next 10,000,000. + +This pattern may reflect differences in page complexity and performance investment across the popularity tiers. +- Highly popular sites often treat performance as a priority and are more likely to invest in ongoing optimization, given its [close correlation](https://www.speedcurve.com/blog/site-speed-business-correlation/) to user engagement and business outcomes. +- Mid-popularity sites may combine higher complexity such as additional features and third-party scripts with less sustained focus on performance, leading to drop in results. +- Less popular sites are often simpler, with fewer features and lighter pages, which can benefit from platform defaults and hence offer comparatively better performance. + +This U-shaped pattern is more evident on mobile, where slower devices and less stable network conditions tend to amplify the effects of page complexity and limited optimization. On desktop, more powerful hardware and more stable networks can reduce the visible impact of these differences. {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", From d7aff2d6894207ee30f8729120148ffe387cc9f6 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 23:37:06 -0800 Subject: [PATCH 68/88] Revised metadata field descriptions --- src/content/en/2025/performance.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 6bd52c6211c..781dbbf1c40 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -3,13 +3,13 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. -authors: [25prathamesh, himanshujariyal, hfhashmi] +authors: [himanshujariyal, 25prathamesh, hfhashmi] reviewers: [aarontgrogg, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] -himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft, working on the Bing Performance team. His work focuses on improving web performance at scale, with experience optimizing large-scale production systems across both enterprise platforms and consumer-facing products. -25prathamesh_bio: Prathamesh Rasam is a web performance expert and consultant who has worked across a range of consumer and enterprise web platforms. He is passionate about improving user experience and has built a large-scale Real User Measurement system that processes over 100 million pageviews per month. +himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. With 10+ years of industry experience, he specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. +25prathamesh_bio: Prathamesh Rasam is a web performance architect with over a decade of experience working on large-scale web and mobile systems. He is a public speaker on web performance and builds real-time web and app performance monitoring platforms at scale. hfhashmi_bio: TODO aarontgrogg_bio: TODO results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit From f420dacfa996e3e3014d1ae198a2ef89ba7155d3 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 23:41:31 -0800 Subject: [PATCH 69/88] Fix chart URL in CWV Updated the chart URL for the Core Web Vitals performance data. --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 781dbbf1c40..ba4ce9dcf6a 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -54,7 +54,7 @@ The following sections examine how Core Web Vitals have evolved over time across image="good-core-web-vitals-devices-years.png", caption="The percent of websites having good CWV, segmented by year and desktop vs mobile.", description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQym[…]OEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", +chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) From e53a99bc4d7d531cdc871ecf403e392c51513cce Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Wed, 14 Jan 2026 23:43:49 -0800 Subject: [PATCH 70/88] Improve performance.md with updated links Updated links to Early Hints and Speculation Rules for clarity. --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index ba4ce9dcf6a..e468ba0fe29 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -32,7 +32,7 @@ These considerations have influenced the development and adoption of user-centri These metrics are complemented by more traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), as well as measures of page resource loading behaviour. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at web.dev. -The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as **Early Hints** and **Speculation Rules**. +The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as [Early Hints](https://developer.chrome.com/docs/web-platform/early-hints) and [Speculation Rules](https://developer.chrome.com/docs/web-platform/implementing-speculation-rules). ### Data Sources and Methodology From dcee3772191c7b272595f2fef10fccb4c0cf924d Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 00:25:37 -0800 Subject: [PATCH 71/88] improved flow - CWV Summary and FCP mid Updated performance metrics for Core Web Vitals, detailing improvements in mobile and desktop performance from 2023 to 2025. Added insights on loading speed, interactivity, and visual stability, along with the impact of cached resources on secondary page navigations. --- src/content/en/2025/performance.md | 20 ++++++++++++-------- 1 file changed, 12 insertions(+), 8 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e468ba0fe29..5a72344fee9 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -60,9 +60,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. +Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. -Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. +To better understand these trends, the following section examines how Core Web Vitals vary by page popularity, where more popular pages appear at lower rank values. {{ figure_markup( image="good-core-web-vitals-by-rank.png", @@ -87,6 +87,8 @@ This pattern may reflect differences in page complexity and performance investme This U-shaped pattern is more evident on mobile, where slower devices and less stable network conditions tend to amplify the effects of page complexity and limited optimization. On desktop, more powerful hardware and more stable networks can reduce the visible impact of these differences. +Performance can also vary significantly between primary and secondary page navigations. Primary navigations typically occur when a user lands on a site for the home page, requiring more resources to be fetched and executed, while secondary navigations happen as users move between pages within the same site and can benefit from previously loaded and cached resources. In the next section, we examine how Core Web Vitals differ between home and secondary page navigations. + {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", caption="The percent of websites having good CWV, segmented by page type.", @@ -99,13 +101,15 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Secondary pages show higher CWV pass rates than home pages, with a 14% lead on desktop and an 11% lead on mobile. This performance gap suggests that secondary pages often benefit from having cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. -Modern websites increasingly use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for soft navigations is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. +Modern single page websites often use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for soft navigations is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. -Let’s examine the different aspects of performance to better understand these trends, starting with **Loading Speed**, followed by **Interactivity** and **Visual Stability**, and concluding with **Early Hints** and **Speculation Rules**. +To better interpret these patterns, the following sections break down performance across key indicators. The analysis begins with Loading Speed, followed by Interactivity and Visual Stability, and concludes with emerging features such as Early Hints and Speculation Rules. ## Loading Speed -A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. +A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. + +The following sections focus on two key loading metrics: First Contentful Paint (FCP) and Largest Contentful Paint (LCP). ### First Contentful Paint @@ -121,9 +125,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Based on real user data from [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), FCP performance has improved across both desktop and mobile devices since 2024\. Specifically, the proportion of desktop sites achieving a 'Good' FCP rose by 2%, while mobile sites saw a 4% increase. - -While the increase is not drastic, we can still attempt to understand what's driving these FCP improvements. We can view the metric as consisting of two distinct parts. The first is the **initial network and server response**, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup (such as the TCP/QUIC handshake), redirects, and server processing time, and is primarily influenced by network infrastructure and protocol efficiency. The second part is **client-side rendering**, which begins after the first byte is received. This is the time it takes for browsers to parse and render the first part of the webpage's content, and is influenced by browser engine, render-blocking resources, and user hardware quality. +FCP performance improved across both desktop and mobile since 2024. The share of desktop sites achieving a "Good" FCP increased by 2%, while mobile sites saw a larger gain of 4%. FCP can be broadly understood as consisting of two main parts, each influenced by different aspects of the loading process. +- The **first** is the **network and server overhead**, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup, redirects, and server processing time, and is largely influenced by network infrastructure and protocol efficiency. When a Service Worker serves a response from cache, the network round trip can be avoided, improving TTFB on repeat visits. However, Service Worker startup can also add latency, which [Navigation Preload](https://web.dev/blog/navigation-preload) helps mitigate by starting the network request in parallel during initialization. +- The **second part** is **client-side rendering**, which begins after the first byte is received. This reflects the time required for the browser to parse resources and render the first visible content on the page, and is influenced by factors such as browser behavior, render-blocking resources, and user hardware capabilities. {{ figure_markup( image="ttfb-performance-by-year-and-device-2025.png", From 66ca3052304a2a9f0435a8159b1a29e3e8e9341c Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 00:41:18 -0800 Subject: [PATCH 72/88] FCP reviewed Added insights on TTFB and FCP improvements from 2024 to 2025, highlighting the impact of server response times and render-blocking resources on performance metrics. --- src/content/en/2025/performance.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 5a72344fee9..a2887f7a22b 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -138,6 +138,8 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp sql_file="web_vitals_by_device.sql" )}} +Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on desktop and by 2% on mobile. + {{ figure_markup( image="pages-passing-render-blocking-audit-2025.png", caption="Percentage of pages passing the render-blocking Lighthouse audit , segmented by device and year.", @@ -148,7 +150,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -The TTFB data provides partial insight into these FCP gains between 2024 and 2025. Desktop sites achieving 'Good' TTFB increased by 1% since 2024, while mobile saw a 2% improvement. This suggests network and server-side optimizations could have contributed to the overall FCP improvements. The remaining FCP gains likely stem from client-side factors—such as elimination of render-blocking resources, improved Chrome browser engine, or better user hardware in general. +Over the same period, the proportion of pages passing the render-blocking resources audit remained flat on desktop and increased by 1% on mobile. + +Taken together, improvements in FCP between 2024 and 2025 align with these modest gains in server response times and small reductions in render-blocking work. This suggests that incremental improvements across both network delivery and client-side rendering are contributing to earlier first paint, with a more slightly more impact on mobile devices. ### Largest Contentful Paint From ade9c5add4d21c5e6531777d20efe84188a48971 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 00:50:36 -0800 Subject: [PATCH 73/88] Refine performance analysis conclusions for clarity Revised language to enhance clarity and precision regarding web performance challenges and advancements. --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index a2887f7a22b..1be7049a36d 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -626,11 +626,11 @@ Also notable is the parity between mobile and desktop usage; seldom more than a ## Conclusion -Our analysis of this year’s data paints a picture of a web that is becoming more responsive, yet remains a bit hard to optimize. We see clear progress in how the web feels to use: mobile interactivity has improved significantly, with the performance gap between phones and desktop computers finally starting to narrow. This tells us that perhaps the industry's focus on new metrics like Interaction to Next Paint (INP) is working, and developers are trying to prioritize the interactions that matter most to users. +Our analysis of this year’s data paints a picture of a web that is becoming more responsive, yet remains complex to optimize. We see clear progress in how the web feels to use: mobile interactivity has improved significantly, with the performance gap between phones and desktop computers finally starting to narrow. This tells us that perhaps the industry's focus on new metrics like Interaction to Next Paint (INP) is working, and developers are trying to prioritize the interactions that matter most to users. However, we also observe a "performance divide" in how different segments of the web adopt new standards. For example, we saw that the most popular sites lead the way in improving interactivity (INP), likely through manual optimization of complex JavaScript. In contrast, newer standards like Speculation Rules are seeing their highest adoption not at the top, but in the "long tail" of the web, driven by platform-level integrations in popular CMSs like WordPress. This suggests that the future of performance may rely less on individual manual effort and more on smart defaults baked into the tools that build the web. -Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues still persist: nearly 40% of mobile pages still use animations that risk visual instability, and the majority of pages still lack the correct sizing for images or the resource hints needed to load fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler HTML and CSS best practices that ensure visual stability. +Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues still persist: nearly 40% of mobile pages still use non-composite animations that risk visual instability, and the majority of pages still lack the correct sizing for images or the resource hints needed to load critical fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler best practices that ensure good web performance. Finally, the landscape of measurement itself is maturing. As more browsers extend support for modern metrics like INP, cross-browser comparisons can become more consistent. As we look ahead, the goal for developers is to look past the top-level scores and bridge the gap between potential and practice, leveraging both the manual optimizations used by top sites and the automated tools of the modern web to deliver reliable experiences for every user. From cf074a5bb7460117660d9089a476541b6c619cd9 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 09:14:38 -0800 Subject: [PATCH 74/88] Fix wording for mobile impact Corrected wording for clarity regarding the impact on mobile devices. --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 1be7049a36d..f08c89bb3d0 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -152,7 +152,7 @@ Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on deskto Over the same period, the proportion of pages passing the render-blocking resources audit remained flat on desktop and increased by 1% on mobile. -Taken together, improvements in FCP between 2024 and 2025 align with these modest gains in server response times and small reductions in render-blocking work. This suggests that incremental improvements across both network delivery and client-side rendering are contributing to earlier first paint, with a more slightly more impact on mobile devices. +Taken together, improvements in FCP between 2024 and 2025 align with these modest gains in server response times and small reductions in render-blocking work. This suggests that incremental improvements across both network delivery and client-side rendering are contributing to earlier first paint, with slightly more impact on mobile devices. ### Largest Contentful Paint From 72e4feae49979e67bfd590be9e4c1f3b42b03406 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 09:31:55 -0800 Subject: [PATCH 75/88] Refactor LCP section for clarity and structure Reorganized the explanation of Largest Contentful Paint (LCP) for clarity and improved flow. Separated statistics and definitions for better readability. --- src/content/en/2025/performance.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index f08c89bb3d0..c9ba3d5cf51 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -156,7 +156,9 @@ Taken together, improvements in FCP between 2024 and 2025 align with these modes ### Largest Contentful Paint -To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. Unlike FCP, which captures the first visual response, LCP reflects when the *primary* content has arrived—the moment users perceive the page as substantially complete. +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. + +Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. {{ figure_markup( image="lcp-performance-by-device-2025.png", @@ -168,7 +170,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Like FCP, LCP is also a sum of several sequential phases: the time taken to get the first byte of data from the server (TTFB), the delay before the browser begins fetching the LCP resource (Resource Load Delay), the time spent loading that resource (Resource Load Duration), and finally any delay before it renders (Element Render Delay). Understanding where time is lost across these phases is essential for improving LCP and thus overall [Core Web Vitals performance](https://web.dev/articles/defining-core-web-vitals-thresholds) of a web page. +While FCP captures the first visual response, LCP reflects when the page's primary content becomes visible and typically involves a longer and more complex critical path. Like FCP, LCP can be understood as the sum of several sequential phases: the time to receive the first byte from the server (TTFB), the delay before the browser begins fetching the LCP resource (resource load delay), the time spent loading that resource (resource load duration), and any delay before the element is rendered (element render delay). Understanding where time is spent across these phases is key to improving LCP, and in turn, overall [Core Web Vitals performance](https://web.dev/articles/defining-core-web-vitals-thresholds). #### LCP Content Types From 4432bcc0328786ce229e18e3527e3c1801a210cc Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 09:58:15 -0800 Subject: [PATCH 76/88] Revise performance metrics and insights for 2025 Updated performance metrics and insights for Core Web Vitals, including changes in image formats and loading strategies. Improved clarity on LCP image hosting and lazy loading practices. --- src/content/en/2025/performance.md | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index c9ba3d5cf51..6805a8d3b56 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -40,7 +40,7 @@ This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) ## Core Web Vitals Summary -Core Web Vitals are Google’s main metrics for understanding how a webpage feels to real users. A page is considered good when: +Core Web Vitals are Google's main metrics for understanding how a webpage feels to real users. A page is considered good when: - Largest Contentful Paint (LCP): the main content appears quickly, so the page feels useful within 2.5 seconds. - Interaction to Next Paint (INP): the page responds to clicks or taps almost immediately, within 200 milliseconds. @@ -192,6 +192,8 @@ Inline images (data URIs embedded directly in HTML) remain rare at around 0.5% o #### LCP Image Formats +Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. + {{ figure_markup( image="lcp-image-formats-2025.png", caption="Percentage of pages that use a given image file format for their LCP images.", @@ -202,15 +204,13 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. - -Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). There are some encouraging signs though– JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. +Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. #### Cross Hosted LCP Images -The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images may incur additional connection setup (DNS/TCP/TLS), especially when the origin isn’t already connected, increasing the time before the download can start. +The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images may incur additional connection setup (DNS/TCP/TLS), especially when the origin isn't already connected, increasing the time before the download can start. {{ figure_markup( image="cross-hosted-lcp-images-2025.png", @@ -226,7 +226,7 @@ Our data shows that 51% of desktop pages and 44% of mobile pages serve their LC #### LCP Resource Prioritization -Since resource load delay phase often constitutes a large portion of LCP time, browsers provide tools to help accelerate critical resources. The fetchpriority="high" attribute tells the browser to prioritize a resource higher than it normally would—useful since images are typically not considered high priority even when they're the LCP element. Meanwhile, \ instructs the browser to fetch a resource before it would naturally discover it in the HTML. +Since resource load delay phase often constitutes a large portion of LCP time, browsers provide tools to help accelerate critical resources. The `fetchpriority="high"` attribute tells the browser to prioritize a resource higher than it normally would—useful since images are typically not considered high priority even when they're the LCP element. Meanwhile, `` instructs the browser to fetch a resource before it would naturally discover it in the HTML. {{ figure_markup( image="adoption-of-lcp-prior-2025.png", @@ -238,13 +238,13 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Adoption of fetchpriority="high" has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024\. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. +Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. -The 0.3% of pages using fetchpriority="low" on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). +The 0.3% of pages using `fetchpriority="low"` on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). #### LCP lazy loading -Lazy loading is a technique that defers loading offscreen images until they're needed, helping reduce initial page weight and prioritize critical resources. It's a valuable optimization—except when applied to the LCP image. Since lazy loading waits until an image nears the viewport before fetching it, using it on the LCP element delays the very content users are waiting to see. +Lazy loading for images means delaying the loading of images until they are needed for eg. loading below the fold images only when they are close to entering the user's viewport, instead of loading all images at page load. This helps prioritize critical above-the-fold content. Lazy loading is generally a useful optimization, but applying it to the LCP image can be harmful because it delays the main content users are waiting to see. {{ figure_markup( caption="Percentage of desktop and mobile pages that lazy load the LCP image.", @@ -255,7 +255,7 @@ Lazy loading is a technique that defers loading offscreen images until they're n ) }} -Overall, about 16% of pages lazy load their LCP image on both desktop and mobile—a figure that has held steady since 2024. However, the composition has shifted: native loading="lazy" usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind data-src attributes have decreased (from 6.7% to 5.9% on mobile). Native `loading="lazy"` accounts for a larger share of LCP lazy-loading than custom approaches, indicating a shift toward standardized browser features. +Overall, about 16% of pages lazy-load their LCP image on both desktop and mobile, a figure that has held steady since 2024. However, the composition has shifted: native `loading="lazy"` usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind `data-src` attributes have decreased (from 6.7% to 5.9% on mobile). Native `loading="lazy"` accounts for a larger share of LCP lazy-loading than custom approaches, indicating a shift toward standardized browser features. ### Loading Speed Conclusion @@ -334,7 +334,7 @@ The median TBT on mobile increased to 1,916 milliseconds in 2025—up 58% from 1 This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors could be behind this divergence. - Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. - Some sites may be optimizing the interactions that dominate INP while still executing substantial background work that shows up in TBT. -- The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium’s [INP metric changelog](https://chromium.googlesource.com/chromium/src/+/main/docs/speed/metrics_changelog/inp.md). +- The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium's [INP metric changelog](https://chromium.googlesource.com/chromium/src/+/main/docs/speed/metrics_changelog/inp.md). The widening gap between desktop (92ms median) and mobile (1,916ms median) reinforces the persistent performance inequality between device classes, suggesting that despite INP improvements, the fundamental challenge of main thread blocking has intensified. @@ -544,7 +544,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Visual stability across the web has advanced significantly over the years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. -Despite gradual improvements, unsized images remain common and font-loading patterns still create opportunities for layout shifts, suggesting many sites haven’t fully implemented known CLS mitigations. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. +Despite gradual improvements, unsized images remain common and font-loading patterns still create opportunities for layout shifts, suggesting many sites haven't fully implemented known CLS mitigations. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. ## Early Hints @@ -602,7 +602,7 @@ Also note that Early Hints are available via [Fastly since 2020](https://www.fas [Speculation Rules](https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently implemented primarily in Chromium-based browsers) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. -While Speculation Rules do not help the current page’s performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. +While Speculation Rules do not help the current page's performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. The intent is for this API to replace and with more advanced configuration options. Again, the Speculation Rules API is for full pages only; for individual assets, you would still need to use . @@ -620,7 +620,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user’s exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. +This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user's exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. Conversely, Speculation Rules now come baked into [WordPress](https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/), which powers a large share of the Internet, which may help explain higher adoption in the long tail. @@ -628,7 +628,7 @@ Also notable is the parity between mobile and desktop usage; seldom more than a ## Conclusion -Our analysis of this year’s data paints a picture of a web that is becoming more responsive, yet remains complex to optimize. We see clear progress in how the web feels to use: mobile interactivity has improved significantly, with the performance gap between phones and desktop computers finally starting to narrow. This tells us that perhaps the industry's focus on new metrics like Interaction to Next Paint (INP) is working, and developers are trying to prioritize the interactions that matter most to users. +Our analysis of this year's data paints a picture of a web that is becoming more responsive, yet remains complex to optimize. We see clear progress in how the web feels to use: mobile interactivity has improved significantly, with the performance gap between phones and desktop computers finally starting to narrow. This tells us that perhaps the industry's focus on new metrics like Interaction to Next Paint (INP) is working, and developers are trying to prioritize the interactions that matter most to users. However, we also observe a "performance divide" in how different segments of the web adopt new standards. For example, we saw that the most popular sites lead the way in improving interactivity (INP), likely through manual optimization of complex JavaScript. In contrast, newer standards like Speculation Rules are seeing their highest adoption not at the top, but in the "long tail" of the web, driven by platform-level integrations in popular CMSs like WordPress. This suggests that the future of performance may rely less on individual manual effort and more on smart defaults baked into the tools that build the web. From 45061d57869415710bdfcb82eaa3fbe1b9136d5e Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 10:04:30 -0800 Subject: [PATCH 77/88] Update bios --- src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 6805a8d3b56..c7d64a53736 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -8,9 +8,9 @@ reviewers: [aarontgrogg, tunetheweb] analysts: [tannerhodges] editors: [] translators: [] -himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. With 10+ years of industry experience, he specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. +himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. He specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. 25prathamesh_bio: Prathamesh Rasam is a web performance architect with over a decade of experience working on large-scale web and mobile systems. He is a public speaker on web performance and builds real-time web and app performance monitoring platforms at scale. -hfhashmi_bio: TODO +hfhashmi_bio: Humaira is a PhD Student in Computer Science at UC Davis. Her research focuses on the intersection of network measurements, policy and privacy. aarontgrogg_bio: TODO results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit featured_quote: Performance gains are real, but uneven as top sites lead on interactivity, while long-tail adoption of new features is increasingly driven by CMS defaults. From cece9b17c4c7f30ea8df07c65024fe01107ad264 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 10:11:46 -0800 Subject: [PATCH 78/88] fixed linkedin prathmesh --- src/config/contributors.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/config/contributors.json b/src/config/contributors.json index bf2c101a92f..05c7d163a05 100644 --- a/src/config/contributors.json +++ b/src/config/contributors.json @@ -4035,7 +4035,7 @@ "25prathamesh": { "avatar_url": "10120153", "github": "25prathamesh", - "linkedin": "prathameshrasam", + "linkedin": "prathamesh-rasam", "name": "Prathamesh Rasam", "teams": { "2022": [ From 318740e35a420be975593c1b2f7a59b66ef65445 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 10:19:26 -0800 Subject: [PATCH 79/88] LCP for clarity and updated stats Reorganized content for clarity and updated statistics on image format usage. --- src/content/en/2025/performance.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index c7d64a53736..6c65dea877f 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -204,9 +204,11 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. +Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). -This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. +There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. + +With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. #### Cross Hosted LCP Images @@ -222,7 +224,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Our data shows that 51% of desktop pages and 44% of mobile pages serve their LCP image from the same host as the document. Cross-hosted LCP images account for 16-18% of pages—a meaningful portion that may be paying a connection overhead cost unless mitigated with [preconnect hints](https://web.dev/learn/performance/resource-hints#preconnect). The "other content" category (32% desktop, 40% mobile) represents pages where the LCP element isn't an image at all, likely text blocks or background elements. The higher mobile percentage for "other content" may reflect responsive design patterns where hero images are deprioritized on smaller viewports, though we do not conclusively know using this data alone. +51% of desktop pages and 44% of mobile pages serve their LCP image from the same host as the document. Cross-hosted LCP images account for 16-18% of pages—a meaningful portion that may be paying a connection overhead cost unless mitigated with [preconnect hints](https://web.dev/learn/performance/resource-hints#preconnect). + +The "other content" category (32% desktop, 40% mobile) represents pages where the LCP element isn't an image at all, likely text blocks or background elements. The higher mobile percentage for "other content" may reflect responsive design patterns where hero images are deprioritized on smaller viewports, though we do not conclusively know using this data alone. #### LCP Resource Prioritization From 791574f02e464d0efa7f54cc4ead0c614c642780 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 10:29:26 -0800 Subject: [PATCH 80/88] Revise loading speed conclusion with key trends summary Summarized key trends in loading metrics, emphasizing improvements in FCP and LCP, limited adoption of new image formats, and the impact of lazy loading on load times. --- src/content/en/2025/performance.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 6c65dea877f..a49df4cf00a 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -263,9 +263,10 @@ Overall, about 16% of pages lazy-load their LCP image on both desktop and mobile ### Loading Speed Conclusion -* FCP and LCP have both improved since 2024, with desktop consistently outperforming mobile. For FCP, roughly half of the gains appear tied to TTFB improvements, with the rest likely due to browser engine enhancements. -* Image optimization for LCP remains a mixed picture. While there's a gradual shift from JPG to WebP, adoption of modern formats is slow. -* About 16% of web pages still lazy load their LCP image, which directly harms load times. +In summary, the loading metrics highlight following key trends: +* FCP and LCP have both improved since 2024, with desktop consistently outperforming mobile. +* Adoption of newer image formats remains limited, despite a gradual shift from JPG to WebP. +* About 16% of web pages still lazy load their LCP image, delaying the display of primary content. ## Interactivity From 39b4c441d75c6314927ba3868df4b2cf7ab8f6ee Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Thu, 15 Jan 2026 18:31:02 +0000 Subject: [PATCH 81/88] Update src/content/en/2025/performance.md --- src/content/en/2025/performance.md | 1 + 1 file changed, 1 insertion(+) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index a49df4cf00a..e252e46b470 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -20,6 +20,7 @@ featured_stat_2: 86.6% featured_stat_label_2: Mobile pages using at least one web font, likely causing layout shifts. featured_stat_3: 28% featured_stat_label_3: Top 1,000 desktop pages using unload handlers, down from 35% in 2024. +doi: 10.5281/zenodo.18258743 --- ## Introduction From dcd36eb765a26cbe82268762457c87533e0058f4 Mon Sep 17 00:00:00 2001 From: Himanshu Jariyal Date: Thu, 15 Jan 2026 10:47:17 -0800 Subject: [PATCH 82/88] fix build: descriptive text --- src/content/en/2025/performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index e252e46b470..87d31970ebc 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -479,7 +479,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -The median number of unsized images per web page is two. At the 90th percentile, this number increases sharply to 26 on desktop and 23 on mobile. Unsized images increase the risk of layout shift. However, their actual impact on CLS depends on both the size of the image and how far content shifts when it loads, especially if the shift affects the viewport. CLS is calculated based on the impact fraction (how much of the viewport is affected) and the distance fraction (how far elements move), meaning larger images or shifts closer to the top of the page tend to contribute more heavily to CLS. The full calculation details are explained [here](https://web.dev/articles/cls#layout-shift-score-calculation). +The median number of unsized images per web page is two. At the 90th percentile, this number increases sharply to 26 on desktop and 23 on mobile. Unsized images increase the risk of layout shift. However, their actual impact on CLS depends on both the size of the image and how far content shifts when it loads, especially if the shift affects the viewport. CLS is calculated based on the impact fraction (how much of the viewport is affected) and the distance fraction (how far elements move), meaning larger images or shifts closer to the top of the page tend to contribute more heavily to CLS. {{ figure_markup( image="unsized-images-by-height.png", From ef5a21523df8bb2a2f9616101f4da978689a7e4f Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Thu, 15 Jan 2026 22:04:29 +0000 Subject: [PATCH 83/88] Contributors --- src/config/contributors.json | 20 +++++++++++++-- src/content/en/2025/performance.md | 40 +++++++++++++++--------------- 2 files changed, 38 insertions(+), 22 deletions(-) diff --git a/src/config/contributors.json b/src/config/contributors.json index 14617de41b6..f97869a73e8 100644 --- a/src/config/contributors.json +++ b/src/config/contributors.json @@ -22,7 +22,7 @@ "name": "Aaron T. Grogg", "teams": { "2025": [ - "reviewers" + "authors" ] }, "website": "https://aarontgrogg.com/" @@ -4804,6 +4804,21 @@ }, "twitter": "itsmesudheendra" }, + "stoyan": { + "avatar_url": "51308", + "bluesky": "stoyan.me", + "github": "stoyan", + "linkedin": "stoyanstefanov", + "mastodon": "https://indieweb.social/@stoyan", + "name": "Stoyan Stefanov", + "teams": { + "2025": [ + "reviewers" + ] + }, + "twitter": "stoyanstefanov", + "website": "https://www.phpied.com" + }, "susie-lu": { "name": "Susie Lu", "teams": { @@ -4870,7 +4885,8 @@ "name": "Tanner Hodges", "teams": { "2025": [ - "analysts" + "analysts", + "reviewers" ] }, "website": "https://tannerhodges.com/" diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 87d31970ebc..b8a8756d43c 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -3,10 +3,10 @@ title: Performance description: Performance chapter of the 2025 Web Almanac covering Core Web Vitals, with deep dives into the Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint metrics and their diagnostics. hero_alt: Hero image of Web Almanac characters adding images to a web page, while another Web Almanac character times them with a stopwatch. -authors: [himanshujariyal, 25prathamesh, hfhashmi] -reviewers: [aarontgrogg, tunetheweb] +authors: [himanshujariyal, 25prathamesh, hfhashmi, aarontgrogg] +reviewers: [tunetheweb, stoyan, tannerhodges] analysts: [tannerhodges] -editors: [] +editors: [tunetheweb] translators: [] himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. He specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. 25prathamesh_bio: Prathamesh Rasam is a web performance architect with over a decade of experience working on large-scale web and mobile systems. He is a public speaker on web performance and builds real-time web and app performance monitoring platforms at scale. @@ -61,7 +61,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. +Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. To better understand these trends, the following section examines how Core Web Vitals vary by page popularity, where more popular pages appear at lower rank values. @@ -81,9 +81,9 @@ On mobile, the most and least popular sites tend to perform better than those in - CWV drops to 42% for the next 10,000 sites and 37% for the next 100,000. - However, it improves to 42% for the next 1,000,000 sites and 48% for the next 10,000,000. -This pattern may reflect differences in page complexity and performance investment across the popularity tiers. +This pattern may reflect differences in page complexity and performance investment across the popularity tiers. - Highly popular sites often treat performance as a priority and are more likely to invest in ongoing optimization, given its [close correlation](https://www.speedcurve.com/blog/site-speed-business-correlation/) to user engagement and business outcomes. -- Mid-popularity sites may combine higher complexity such as additional features and third-party scripts with less sustained focus on performance, leading to drop in results. +- Mid-popularity sites may combine higher complexity such as additional features and third-party scripts with less sustained focus on performance, leading to drop in results. - Less popular sites are often simpler, with fewer features and lighter pages, which can benefit from platform defaults and hence offer comparatively better performance. This U-shaped pattern is more evident on mobile, where slower devices and less stable network conditions tend to amplify the effects of page complexity and limited optimization. On desktop, more powerful hardware and more stable networks can reduce the visible impact of these differences. @@ -108,7 +108,7 @@ To better interpret these patterns, the following sections break down performanc ## Loading Speed -A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. +A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. The following sections focus on two key loading metrics: First Contentful Paint (FCP) and Largest Contentful Paint (LCP). @@ -139,7 +139,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp sql_file="web_vitals_by_device.sql" )}} -Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on desktop and by 2% on mobile. +Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on desktop and by 2% on mobile. {{ figure_markup( image="pages-passing-render-blocking-audit-2025.png", @@ -151,15 +151,15 @@ Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on deskto ) }} -Over the same period, the proportion of pages passing the render-blocking resources audit remained flat on desktop and increased by 1% on mobile. +Over the same period, the proportion of pages passing the render-blocking resources audit remained flat on desktop and increased by 1% on mobile. Taken together, improvements in FCP between 2024 and 2025 align with these modest gains in server response times and small reductions in render-blocking work. This suggests that incremental improvements across both network delivery and client-side rendering are contributing to earlier first paint, with slightly more impact on mobile devices. ### Largest Contentful Paint -To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. -Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. +Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. {{ figure_markup( image="lcp-performance-by-device-2025.png", @@ -187,13 +187,13 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. +The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. Inline images (data URIs embedded directly in HTML) remain rare at around 0.5% of pages, indicating limited and careful adoption and awareness of the trade-offs related to larger HTML payloads and caching efficiency. #### LCP Image Formats -Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. +Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. {{ figure_markup( image="lcp-image-formats-2025.png", @@ -205,9 +205,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). +Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). -There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. +There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. @@ -225,7 +225,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -51% of desktop pages and 44% of mobile pages serve their LCP image from the same host as the document. Cross-hosted LCP images account for 16-18% of pages—a meaningful portion that may be paying a connection overhead cost unless mitigated with [preconnect hints](https://web.dev/learn/performance/resource-hints#preconnect). +51% of desktop pages and 44% of mobile pages serve their LCP image from the same host as the document. Cross-hosted LCP images account for 16-18% of pages—a meaningful portion that may be paying a connection overhead cost unless mitigated with [preconnect hints](https://web.dev/learn/performance/resource-hints#preconnect). The "other content" category (32% desktop, 40% mobile) represents pages where the LCP element isn't an image at all, likely text blocks or background elements. The higher mobile percentage for "other content" may reflect responsive design patterns where hero images are deprioritized on smaller viewports, though we do not conclusively know using this data alone. @@ -243,7 +243,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. +Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. The 0.3% of pages using `fetchpriority="low"` on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). @@ -341,7 +341,7 @@ This presents an apparent contradiction: while field-based INP scores improved, - Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. - Some sites may be optimizing the interactions that dominate INP while still executing substantial background work that shows up in TBT. - The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium's [INP metric changelog](https://chromium.googlesource.com/chromium/src/+/main/docs/speed/metrics_changelog/inp.md). - + The widening gap between desktop (92ms median) and mobile (1,916ms median) reinforces the persistent performance inequality between device classes, suggesting that despite INP improvements, the fundamental challenge of main thread blocking has intensified. ### Interactivity conclusion @@ -449,7 +449,7 @@ Another common reason for websites to fall in the bfcache ineligibility category Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome may allow BFCache for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. -### CLS Best Practices +### CLS Best Practices #### Fixed Image Sizes @@ -534,7 +534,7 @@ Font resource hint usage is very similar across desktop and mobile. About 24% of sql_file="cls_animations.sql" )}} -Non-composited animations remain common, appearing on 40.19% of mobile pages and 43.59% of desktop pages. Their impact emerges primarily at higher percentiles, with usage increasing at the 75th percentile and rising sharply at the 90th percentile to 13 animations on desktop and 11 on mobile, as shown in the chart below. +Non-composited animations remain common, appearing on 40.19% of mobile pages and 43.59% of desktop pages. Their impact emerges primarily at higher percentiles, with usage increasing at the 75th percentile and rising sharply at the 90th percentile to 13 animations on desktop and 11 on mobile, as shown in the chart below. {{ figure_markup( image="non-composite-animations-per-page.png", From b7bd734981109f24984f98e46c14a4a3e3bd5278 Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Thu, 15 Jan 2026 22:12:47 +0000 Subject: [PATCH 84/88] Links --- src/content/en/2025/performance.md | 36 +++++++++++++++--------------- 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index b8a8756d43c..963aff804a0 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -11,7 +11,7 @@ translators: [] himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. He specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. 25prathamesh_bio: Prathamesh Rasam is a web performance architect with over a decade of experience working on large-scale web and mobile systems. He is a public speaker on web performance and builds real-time web and app performance monitoring platforms at scale. hfhashmi_bio: Humaira is a PhD Student in Computer Science at UC Davis. Her research focuses on the intersection of network measurements, policy and privacy. -aarontgrogg_bio: TODO +aarontgrogg_bio: Aaron is a senior web developer, improving the user experience through improved web performance results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit featured_quote: Performance gains are real, but uneven as top sites lead on interactivity, while long-tail adoption of new features is increasingly driven by CMS defaults. featured_stat_1: 97% @@ -29,15 +29,15 @@ Web performance refers to how quickly and smoothly web pages load and also respo Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable when expected helps users understand page behavior and feel in control as they interact with a website. -These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS), which capture key aspects of loading performance, responsiveness, and visual stability. Over the last year, support for reporting Core Web Vitals, particularly INP, has expanded beyond Chrome to include other browsers, allowing user experience to be measured more consistently across browser engines. +These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp), [Interaction to Next Paint (INP)](https://web.dev/articles/inp), and [Cumulative Layout Shift (CLS)](https://web.dev/articles/cls), which capture key aspects of loading performance, responsiveness, and visual stability. Over the last year, support for reporting Core Web Vitals, particularly INP, has expanded beyond Chrome to include other browsers, allowing user experience to be measured more consistently across browser engines. -These metrics are complemented by more traditional indicators such as Time to First Byte (TTFB) and First Contentful Paint (FCP), as well as measures of page resource loading behaviour. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at web.dev. +These metrics are complemented by more traditional indicators such as [Time to First Byte (TTFB)](https://web.dev/articles/ttfb) and [First Contentful Paint (FCP)](https://web.dev/articles/fcp), as well as measures of page resource loading behaviour. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at [web.dev](https://web.dev/performance). The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as [Early Hints](https://developer.chrome.com/docs/web-platform/early-hints) and [Speculation Rules](https://developer.chrome.com/docs/web-platform/implementing-speculation-rules). ### Data Sources and Methodology -This chapter draws on data from the [HTTP Archive](https://httparchive.org/faq) and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). +This chapter draws on data from the HTTP Archive and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). ## Core Web Vitals Summary @@ -82,7 +82,7 @@ On mobile, the most and least popular sites tend to perform better than those in - However, it improves to 42% for the next 1,000,000 sites and 48% for the next 10,000,000. This pattern may reflect differences in page complexity and performance investment across the popularity tiers. -- Highly popular sites often treat performance as a priority and are more likely to invest in ongoing optimization, given its [close correlation](https://www.speedcurve.com/blog/site-speed-business-correlation/) to user engagement and business outcomes. +- Highly popular sites often treat performance as a priority and are more likely to invest in ongoing optimization, given its close correlation to user engagement and business outcomes. - Mid-popularity sites may combine higher complexity such as additional features and third-party scripts with less sustained focus on performance, leading to drop in results. - Less popular sites are often simpler, with fewer features and lighter pages, which can benefit from platform defaults and hence offer comparatively better performance. @@ -102,7 +102,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Secondary pages show higher CWV pass rates than home pages, with a 14% lead on desktop and an 11% lead on mobile. This performance gap suggests that secondary pages often benefit from having cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. -Modern single page websites often use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for soft navigations is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. +Modern single page websites often use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for [soft navigations](https://developer.chrome.com/blog/new-soft-navigations-origin-trial) is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. To better interpret these patterns, the following sections break down performance across key indicators. The analysis begins with Loading Speed, followed by Interactivity and Visual Stability, and concludes with emerging features such as Early Hints and Speculation Rules. @@ -114,7 +114,7 @@ The following sections focus on two key loading metrics: First Contentful Paint ### First Contentful Paint -To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp?hl=en). This metric captures the exact time it takes for a page to begin displaying *any* content, measured from the point the user first requested the page. A page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. +To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp). This metric captures the exact time it takes for a page to begin displaying *any* content, measured from the point the user first requested the page. A page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. {{ figure_markup( image="fcp-performance-by-year-and-device-2025.png", @@ -193,7 +193,7 @@ Inline images (data URIs embedded directly in HTML) remain rare at around 0.5% o #### LCP Image Formats -Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](https://almanac.httparchive.org/en/2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. +Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](../2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. {{ figure_markup( image="lcp-image-formats-2025.png", @@ -243,7 +243,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp ) }} -Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](https://almanac.httparchive.org/en/2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. +Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](../2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. The 0.3% of pages using `fetchpriority="low"` on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). @@ -340,7 +340,7 @@ The median TBT on mobile increased to 1,916 milliseconds in 2025—up 58% from 1 This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors could be behind this divergence. - Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. - Some sites may be optimizing the interactions that dominate INP while still executing substantial background work that shows up in TBT. -- The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium's [INP metric changelog](https://chromium.googlesource.com/chromium/src/+/main/docs/speed/metrics_changelog/inp.md). +- The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium's INP metric changelog. The widening gap between desktop (92ms median) and mobile (1,916ms median) reinforces the persistent performance inequality between device classes, suggesting that despite INP improvements, the fundamental challenge of main thread blocking has intensified. @@ -416,11 +416,11 @@ From 2023 to 2025, the share of sites with Good CLS increases steadily across bo [The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. -While BFCache behavior is ultimately handled by the browser, developers can evaluate page eligibility by using Chrome DevTools. +While BFCache behavior is ultimately handled by the browser, developers can [evaluate page eligibility](https://developer.chrome.com/docs/devtools/application/back-forward-cache) by using Chrome DevTools. Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). -Browsers recommend avoiding unload in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. [Compared to 2024](../2024/performance#backforward-cache-bfcache), unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. +Browsers [recommend avoiding unload](https://developer.chrome.com/docs/web-platform/deprecating-unload) in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. [Compared to 2024](../2024/performance#backforward-cache-bfcache), unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. {{ figure_markup( image="unload-handler-usage.png", @@ -447,7 +447,7 @@ Another common reason for websites to fall in the bfcache ineligibility category 23.4% of the sites now use `Cache-Control: no-store`, up from 21% [in 2024](../2024/performance#backforward-cache-bfcache). This increase may reflect the growing prevalence of authenticated and personalized experiences, stricter security or compliance requirements, and evolving browser behavior that has reduced the performance impact of `Cache-Control: no-store`, particularly with respect to BFCache eligibility. -Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, Chrome may allow BFCache for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. +Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, [Chrome may allow BFCache](https://developer.chrome.com/docs/web-platform/bfcache-ccns) for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. ### CLS Best Practices @@ -556,13 +556,13 @@ Despite gradual improvements, unsized images remain common and font-loading patt ### Overview -[Early Hints](https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Status/103) provide an early signal to the browser about the resources it will need to load for the requested page. +[Early Hints](https://developer.mozilla.org/docs/Web/HTTP/Reference/Status/103) provide an early signal to the browser about the resources it will need to load for the requested page. Early Hints are sent from the server to the browser while the requested page is still being prepared. In this way, browsers can start taking action to optimistically preconnect to other domains or preload an asset before the requested page has been returned to it. This allows Early Hints to have an absolute impact on the loading performance of the currently requested pages. Consider if, rather than having to wait for the HTML to return to the browser, and the parser to find the link (or even preload link) for the main CSS file and/or LCP asset, it could begin fetching those assets before the HTML was even returned to the browser. This could allow for an FCP that is nearly perfectly rendered, in a single paint. -Since Early Hints can also contain crossorigin attribute and CSP header information, it is recommended that they only be used over HTTP/2 or higher for [for security reasons](https://www.rfc-editor.org/rfc/rfc8297#section-3). +Since Early Hints can also contain crossorigin attribute and CSP header information, it is recommended that they only be used over HTTP/2 or higher for for security reasons. ### Usage @@ -600,13 +600,13 @@ Unlike most web performance features, Early Hints relies not only on browsers, b With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. -Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), [Cloudflare since 2021](https://blog.cloudflare.com/early-hints/), and [Akamai since 2023](https://www.akamai.com/blog/performance/akamai-103-early-hints-prototype-the-results-are-in). +Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), Cloudflare since 2021, and Akamai since 2023. ## Speculation Rules ### Overview -[Speculation Rules](https://developer.mozilla.org/en-US/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently implemented primarily in Chromium-based browsers) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. +[Speculation Rules](https://developer.mozilla.org/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently implemented primarily in Chromium-based browsers) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. While Speculation Rules do not help the current page's performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. @@ -628,7 +628,7 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp This could be related to the complexities of configuring Speculation Rules: a site should be careful when prefetching or prerendering pages, since the user's exact intent can never be known, and anything that is fetched and not used is wasteful. So, for a larger site, such as an ecommerce site, and especially a large site with numerous categories and perhaps menu options to jump directly to, Speculation Rules could be difficult to configure properly. They could also be tricky to implement into a legacy or bespoke CMS. -Conversely, Speculation Rules now come baked into [WordPress](https://make.wordpress.org/core/2025/03/06/speculative-loading-in-6-8/), which powers a large share of the Internet, which may help explain higher adoption in the long tail. +Conversely, Speculation Rules now come baked into WordPress, which powers a large share of the Internet, which may help explain higher adoption in the long tail. Also notable is the parity between mobile and desktop usage; seldom more than a 1% difference. Meaning, where Speculation Rules are implemented, they are likely done so similarly for all device types. From 525e81cd22ef9c62d3cd0534caecd051a94eb413 Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Thu, 15 Jan 2026 23:49:57 +0000 Subject: [PATCH 85/88] Retake images --- .../adoption-of-lcp-prior-2025.png | Bin 20171 -> 23657 bytes .../cross-hosted-lcp-images-2025.png | Bin 18112 -> 0 bytes .../distribution-of-tbt-per-page-2025.png | Bin 17793 -> 21301 bytes .../performance/early-hints-usage-by-year.png | Bin 19629 -> 22053 bytes .../2025/performance/early-hints-usage.png | Bin 22294 -> 23094 bytes ...cp-performance-by-year-and-device-2025.png | Bin 25361 -> 30391 bytes .../performance/fonts-resource-hint-usage.png | Bin 23291 -> 23755 bytes .../performance/good-cls-by-device-2025.png | Bin 19308 -> 22487 bytes .../2025/performance/good-cls-by-device.png | Bin 23912 -> 22721 bytes .../good-cls-home-secondary-page.png | Bin 19917 -> 22960 bytes .../good-core-web-vitals-by-rank.png | Bin 25875 -> 29211 bytes .../good-core-web-vitals-devices-years.png | Bin 25255 -> 23870 bytes ...od-core-web-vitals-home-secondary-page.png | Bin 19894 -> 22990 bytes ...or-home-pages-and-secondary-pages-2025.png | Bin 20027 -> 22765 bytes .../initiators-of-undiscoverable-lcp.png | Bin 19256 -> 0 bytes .../inp-performance-by-device-2025.png | Bin 17842 -> 21632 bytes .../performance/lcp-image-formats-2025.png | Bin 19815 -> 20541 bytes .../lcp-performance-by-device-2025.png | Bin 19151 -> 22204 bytes .../mobile-inp-performance-by-rank-2025.png | Bin 27319 -> 32864 bytes .../non-composite-animations-per-page.png | Bin 14912 -> 17479 bytes ...ges-passing-render-blocking-audit-2025.png | Bin 16169 -> 18985 bytes .../performance/speculation-rules-usage.png | Bin 21611 -> 21100 bytes .../top-lcp-content-types-2025.png | Bin 18858 -> 20625 bytes ...fb-performance-by-year-and-device-2025.png | Bin 24675 -> 30558 bytes .../2025/performance/unload-handler-usage.png | Bin 22643 -> 20822 bytes .../2025/performance/unsized-image-height.png | Bin 18682 -> 0 bytes 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+++++++++++++++-------------- 1 file changed, 162 insertions(+), 155 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index 963aff804a0..db731af1a6f 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -11,7 +11,7 @@ translators: [] himanshujariyal_bio: Himanshu Jariyal is a Senior Software Engineer at Microsoft on the Bing Performance team. He specializes in real-user performance measurement and analysis, and in optimizing large, production-critical systems. 25prathamesh_bio: Prathamesh Rasam is a web performance architect with over a decade of experience working on large-scale web and mobile systems. He is a public speaker on web performance and builds real-time web and app performance monitoring platforms at scale. hfhashmi_bio: Humaira is a PhD Student in Computer Science at UC Davis. Her research focuses on the intersection of network measurements, policy and privacy. -aarontgrogg_bio: Aaron is a senior web developer, improving the user experience through improved web performance +aarontgrogg_bio: Aaron T. Grogg started his web development career in 1998. Along the way, he has become a staunch advocate for standards, the semantic web, accessibility and the vital importance of building performant, user-focused digital experiences. Aaron remains devoted to discovering and sharing new web technologies and best practices, and helping to move the web forward for everyone. results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4pkk9U1qOLgBM0/edit featured_quote: Performance gains are real, but uneven as top sites lead on interactivity, while long-tail adoption of new features is increasingly driven by CMS defaults. featured_stat_1: 97% @@ -29,48 +29,50 @@ Web performance refers to how quickly and smoothly web pages load and also respo Measuring web performance includes a broad set of metrics that describe how pages load, render, and respond to user input in real-world conditions. It is not always possible for the web to feel instantaneous due to device, network, and execution constraints. As a result, performance is not only about speed, but also about how an experience feels while work is in progress. Providing clear feedback while content loads and keeping layouts visually stable when expected helps users understand page behavior and feel in control as they interact with a website. -These considerations have influenced the development and adoption of user-centric performance metrics called Core Web Vitals. These include [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp), [Interaction to Next Paint (INP)](https://web.dev/articles/inp), and [Cumulative Layout Shift (CLS)](https://web.dev/articles/cls), which capture key aspects of loading performance, responsiveness, and visual stability. Over the last year, support for reporting Core Web Vitals, particularly INP, has expanded beyond Chrome to include other browsers, allowing user experience to be measured more consistently across browser engines. +These considerations have influenced the development and adoption of [user-centric performance metrics](https://web.dev/articles/user-centric-performance-metrics) called Core Web Vitals: [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp), [Interaction to Next Paint (INP)](https://web.dev/articles/inp), and [Cumulative Layout Shift (CLS)](https://web.dev/articles/cls), which capture key aspects of loading performance, responsiveness, and visual stability. Over the last year, support for reporting two of the Core Web Vitals—LCP and INP—has expanded beyond Chrome to include other browsers, allowing user experience to be measured more consistently across browser engines. -These metrics are complemented by more traditional indicators such as [Time to First Byte (TTFB)](https://web.dev/articles/ttfb) and [First Contentful Paint (FCP)](https://web.dev/articles/fcp), as well as measures of page resource loading behaviour. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at [web.dev](https://web.dev/performance). +These metrics are complemented by more traditional indicators such as [Time to First Byte (TTFB)](https://web.dev/articles/ttfb) and [First Contentful Paint (FCP)](https://web.dev/articles/fcp), as well as measures of page resource loading behavior. Together, this broader set of signals helps describe where performance bottlenecks tend to occur and how they relate to overall page behavior. A more comprehensive overview of modern web performance metrics is available at [web.dev](https://web.dev/performance). -The **Web Almanac performance** chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as [Early Hints](https://developer.chrome.com/docs/web-platform/early-hints) and [Speculation Rules](https://developer.chrome.com/docs/web-platform/implementing-speculation-rules). +This Performance chapter examines these signals at scale across devices and network conditions to provide a data-driven view of the state of web performance. By analyzing real-world data, it highlights where the web is improving, where challenges remain, and which patterns are associated with better user experiences. This year's analysis also includes emerging performance features such as [Early Hints](https://developer.chrome.com/docs/web-platform/early-hints) and [Speculation Rules](https://developer.chrome.com/docs/web-platform/implementing-speculation-rules). -### Data Sources and Methodology +### Data sources and methodology -This chapter draws on data from the HTTP Archive and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a large volume of page loads across the web. Additional details on data collection and methodology are available in the [Web Almanac methodology documentation](../2025/methodology). +This chapter draws on data from the HTTP Archive and the [Chrome UX Report (CrUX)](https://developer.chrome.com/docs/crux), combining lab-based measurements with real-user performance data. The HTTP Archive collects Chrome-based page load data via WebPageTest, providing detailed insight into how pages behave under controlled conditions, while CrUX reflects real-world user experiences collected from Chrome users. The primary analysis is based on measurements from July 2025 and spans millions of websites and a large volume of page loads across the web. Additional details on data collection and methodology are available in the [Methodology](./methodology). -## Core Web Vitals Summary +## Core Web Vitals summary Core Web Vitals are Google's main metrics for understanding how a webpage feels to real users. A page is considered good when: -- Largest Contentful Paint (LCP): the main content appears quickly, so the page feels useful within 2.5 seconds. -- Interaction to Next Paint (INP): the page responds to clicks or taps almost immediately, within 200 milliseconds. -- Cumulative Layout Shift (CLS): the layout stays mostly stable, with very little unexpected movement (score ≤ 0.1). +- **Largest Contentful Paint (LCP)**: the main content appears quickly (within 2.5 seconds) so the page feels useful. +- **Interaction to Next Paint (INP)**: the page responds to clicks or taps almost immediately (within 200 milliseconds). +- **Cumulative Layout Shift (CLS)**: the layout stays mostly stable, with very little unexpected movement (score ≤ 0.1). -When a page meets these thresholds for most users, it delivers a good overall page experience. +When a page meets these thresholds for most users, it is classified as delivering a "good" overall page experience. -The following sections examine how Core Web Vitals have evolved over time across mobile and desktop. +Of course these are broad measures intended to an estimated categorization across the web as a whole. Individual websites may find that the expectations of "good" for their users may differ. {{ figure_markup( image="good-core-web-vitals-devices-years.png", - caption="The percent of websites having good CWV, segmented by year and desktop vs mobile.", + caption="Good Core Web Vitals trend.", description="Bar chart showing the percentage of websites with good Core Web Vitals (CWV) performance by device over time. In 2021, 32% of mobile websites and 41% of desktop websites achieved good CWV scores. This increased to 31% mobile and 44% desktop in 2022, then to 36% mobile and 48% desktop in 2023. By 2024, good CWV performance reached 44% on mobile and 55% on desktop, and further improved in 2025 to 48% for mobile websites and 56% for desktop websites.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=221638490&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in devices, networks, and browsers, alongside site optimizations. Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. +Mobile Core Web Vitals have shown consistent year-over-year improvement, increasing from 36% in 2023 to 44% in 2024, and reaching 48% in 2025. This rise may reflect improvements in browsers, devices, and networks, alongside site optimizations. + +Desktop performance also saw a positive trend, moving from 48% in 2023 to 55% in 2024. However, the improvement for 2025 was marginal, increasing only to 56%. To better understand these trends, the following section examines how Core Web Vitals vary by page popularity, where more popular pages appear at lower rank values. {{ figure_markup( image="good-core-web-vitals-by-rank.png", - caption="The percentage of websites having good CWV, segmented by rank and device type.", + caption="Websites with good CWV by rank.", description="The chart shows the percentage of websites achieving good Core Web Vitals (CWV) scores by site rank, comparing desktop and mobile performance. Among the top 1,000 websites, 59% of desktop sites have good CWV, compared to 51% on mobile, with mobile performance declining further for the next tiers to 42% for the top 10,000 and 37% for the top 100,000 sites. Desktop performance remains relatively stable across ranks, staying between 55% and 57%, while mobile performance improves again for lower-ranked sites, reaching 49% for the top 10 million and 48% overall.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=293787205&format=interactive", - sheets_gid="1721986308", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=293787205&format=interactive", + sheets_gid="1354135914", sql_file="web_vitals_by_rank_and_device.sql" ) }} @@ -88,13 +90,15 @@ This pattern may reflect differences in page complexity and performance investme This U-shaped pattern is more evident on mobile, where slower devices and less stable network conditions tend to amplify the effects of page complexity and limited optimization. On desktop, more powerful hardware and more stable networks can reduce the visible impact of these differences. -Performance can also vary significantly between primary and secondary page navigations. Primary navigations typically occur when a user lands on a site for the home page, requiring more resources to be fetched and executed, while secondary navigations happen as users move between pages within the same site and can benefit from previously loaded and cached resources. In the next section, we examine how Core Web Vitals differ between home and secondary page navigations. +Performance can also vary significantly between primary and secondary page navigations. Primary navigations typically occur when a user lands on a site for the home page, requiring more resources to be fetched and executed, while secondary navigations happen as users move between pages within the same site and can benefit from previously loaded and cached resources. + +While most CrUX data in this chapter is per origin, our crawler also collects page-level CrUX data at the time of crawl where available allowing us to examine how Core Web Vitals differ between home and secondary page navigations. {{ figure_markup( image="good-core-web-vitals-home-secondary-page.png", - caption="The percent of websites having good CWV, segmented by page type.", + caption="Good CWV for home pages and secondary pages.", description="The chart shows the percentage of pages with good Core Web Vitals (CWV) scores for home pages and secondary pages on desktop and mobile. On home pages, 47% of desktop pages and 45% of mobile pages achieve good CWV. On secondary pages, the share increases to 61% on desktop and 56% on mobile.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=604736426&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=604736426&format=interactive", sheets_gid="1721986308", sql_file="web_vitals_by_device_secondary_pages.sql" ) @@ -102,11 +106,9 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Secondary pages show higher CWV pass rates than home pages, with a 14% lead on desktop and an 11% lead on mobile. This performance gap suggests that secondary pages often benefit from having cached information, which contributes to faster page loads. Home pages are also updated more frequently and tend to include more dynamic and varied components, while secondary pages are often more templated and consistent, which may make them more stable and easier to optimize. -Modern single page websites often use JavaScript based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for [soft navigations](https://developer.chrome.com/blog/new-soft-navigations-origin-trial) is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. - -To better interpret these patterns, the following sections break down performance across key indicators. The analysis begins with Loading Speed, followed by Interactivity and Visual Stability, and concludes with emerging features such as Early Hints and Speculation Rules. +Modern single page websites often use JavaScript-based navigations, where content changes without a full page reload. While these navigations feel like moving between pages to users, they are not always fully captured by current Web Vitals measurements. Support for [soft navigations](https://developer.chrome.com/blog/new-soft-navigations-origin-trial) is expected to improve how Core Web Vitals are captured for these in-page transitions, providing a more accurate view of real user experience beyond the initial page load. -## Loading Speed +## Loading speed A major factor influencing a user's perception of quality and reliability is the initial loading speed of a website. However, 'speed' is inherently relative and difficult to define with a single value in the context of websites. Because performance varies based on a user's device capabilities and network conditions, we cannot rely on a single 'load time' to capture the user experience. Thus, we look at multiple [user-centric metrics](https://web.dev/articles/user-centric-performance-metrics) that measure not just how fast a site loads, but how fast it *feels*. @@ -114,27 +116,28 @@ The following sections focus on two key loading metrics: First Contentful Paint ### First Contentful Paint -To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp). This metric captures the exact time it takes for a page to begin displaying *any* content, measured from the point the user first requested the page. A page that has a FCP score under 1.8 seconds is considered 'Good', scores between 1.8 and 3.0 seconds indicate that the page 'Needs Improvement,' and a score over 3.0 seconds is considered 'Poor' performance. +To understand the user's first impression of a webpage's speed, we look at [First Contentful Paint (FCP)](https://web.dev/articles/fcp). This metric captures the exact time it takes for a page to begin displaying *any* content, measured from the point the user first requested the page. A page that has a FCP score under 1.8 seconds is considered "good", scores between 1.8 and 3.0 seconds indicate that the page "needs Improvement", and a score over 3.0 seconds is considered "poor" performance. {{ figure_markup( image="fcp-performance-by-year-and-device-2025.png", - caption="Percentage of websites having good, needs improvement, and poor FCP, segmented by year and device type.", - description="Bar graph showing the distribution of First Contentful Paint (FCP) performance by year and device, categorized as good, needs improvement, and poor. On desktop, the share of pages with good FCP increased from 68% in 2024 to 70% in 2025, while poor FCP decreased from 10% to 9%. On mobile, good FCP improved from 51% in 2024 to 55% in 2025, with a corresponding decline in poor FCP from 18% to 16%.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1596764241&format=interactive", + caption="FCP performance by year and device.", + description="Bar graph showing the distribution of First Contentful Paint (FCP) performance by year and device, categorized as \"good\", \"needs improvement\", and \"poor\". On desktop, the share of pages with good FCP increased from 68% in 2024 to 70% in 2025, while poor FCP decreased from 10% to 9%. On mobile, good FCP improved from 51% in 2024 to 55% in 2025, with a corresponding decline in poor FCP from 18% to 16%.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1596764241&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -FCP performance improved across both desktop and mobile since 2024. The share of desktop sites achieving a "Good" FCP increased by 2%, while mobile sites saw a larger gain of 4%. FCP can be broadly understood as consisting of two main parts, each influenced by different aspects of the loading process. -- The **first** is the **network and server overhead**, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup, redirects, and server processing time, and is largely influenced by network infrastructure and protocol efficiency. When a Service Worker serves a response from cache, the network round trip can be avoided, improving TTFB on repeat visits. However, Service Worker startup can also add latency, which [Navigation Preload](https://web.dev/blog/navigation-preload) helps mitigate by starting the network request in parallel during initialization. -- The **second part** is **client-side rendering**, which begins after the first byte is received. This reflects the time required for the browser to parse resources and render the first visible content on the page, and is influenced by factors such as browser behavior, render-blocking resources, and user hardware capabilities. +FCP performance improved across both desktop and mobile since 2024. The share of desktop sites achieving a "Good" FCP increased by 2%, while mobile sites saw a larger gain of 4%. FCP can be broadly understood as consisting of two main parts, each influenced by different aspects of the loading process: + +- The first is the network and server overhead, captured by [Time to First Byte (TTFB)](https://web.dev/articles/ttfb). This includes connection setup, redirects, and server processing time, and is largely influenced by network infrastructure and protocol efficiency. When a Service Worker serves a response from cache, the network round trip can be avoided, improving TTFB on repeat visits. However, Service Worker startup can also add latency, which [Navigation Preload](https://web.dev/blog/navigation-preload) helps mitigate by starting the network request in parallel during initialization. +- The second part is client-side rendering, which begins after the first byte is received. This reflects the time required for the browser to parse resources and render the first visible content on the page, and is influenced by factors such as browser behavior, render-blocking resources, and user hardware capabilities. {{ figure_markup( image="ttfb-performance-by-year-and-device-2025.png", - caption="Percentage of websites having good, needs improvement, and poor TTFB, segmented by year and device type.", - description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: good (under 0.8 seconds), needs improvement (0.8–1.8 seconds), and poor (over 1.8 seconds). In 2024, 54% of desktop websites had good TTFB, 33% needed improvement, and 13% performed poorly. In 2025, 55% of desktop websites have good TTFB, 33% need improvement, and 12% perform poorly. For mobile websites in 2024, 42% of websites had good TTFB, 40% needed improvement, and 19% performed poorly. In 2025, 44% of mobile websites have good TTFB, 40% need improvement, and 17% perform poorly.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=220208816&format=interactive", + caption="TTFB performance by year and device.", + description="Stacked bar chart showing TTFB (Time to First Byte) performance for 2024 and 2025, for both desktop and mobile device types. Each bar chart has 3 categories: \"good\" (under 0.8 seconds), \"needs improvement\" (0.8–1.8 seconds), and \"poor\" (over 1.8 seconds). In 2024, 54% of desktop websites had good TTFB, 33% needed improvement, and 13% performed poorly. In 2025, 55% of desktop websites have good TTFB, 33% need improvement, and 12% perform poorly. For mobile websites in 2024, 42% of websites had good TTFB, 40% needed improvement, and 19% performed poorly. In 2025, 44% of mobile websites have good TTFB, 40% need improvement, and 17% perform poorly.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=220208816&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" )}} @@ -143,7 +146,7 @@ Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on deskto {{ figure_markup( image="pages-passing-render-blocking-audit-2025.png", - caption="Percentage of pages passing the render-blocking Lighthouse audit , segmented by device and year.", + caption="Pages passing render-blocking Lighthouse audit.", description="Bar chart showing the percentage of pages passing the render-blocking resources audit for 2024 and 2025, comparing desktop and mobile device types. In 2024, 13% of desktop pages passed the audit and 14% of mobile pages passed. In 2025, 13% of desktop pages passed the audit and 15% of mobile pages passed. Mobile pages show a slight improvement from 2024 to 2025, while desktop pages remain unchanged.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=102924133&format=interactive", sheets_gid="1432298892", @@ -151,55 +154,55 @@ Since 2024, the share of sites achieving a "Good" TTFB increased by 1% on deskto ) }} -Over the same period, the proportion of pages passing the render-blocking resources audit remained flat on desktop and increased by 1% on mobile. +Over the same period, the proportion of pages passing the "render-blocking resources audit" remained flat on desktop and increased by 1% on mobile. Taken together, improvements in FCP between 2024 and 2025 align with these modest gains in server response times and small reductions in render-blocking work. This suggests that incremental improvements across both network delivery and client-side rendering are contributing to earlier first paint, with slightly more impact on mobile devices. -### Largest Contentful Paint +While FCP captures the first visual response, LCP reflects when the page's primary content becomes visible and typically involves a longer and more complex critical path. Like FCP, LCP can be understood as the sum of several sequential phases: the time to receive the first byte from the server (TTFB), the delay before the browser begins fetching the LCP resource (resource load delay), the time spent loading that resource (resource load duration), and any delay before the element is rendered (element render delay). Understanding where time is spent across these phases is key to improving LCP, and in turn, overall [Core Web Vitals performance](https://web.dev/articles/defining-core-web-vitals-thresholds). -To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. Any page with an LCP score under 2.5 seconds is considered 'Good', scores between 2.5 and 4.0 seconds indicate that the page 'Needs Improvement,' and a score over 4.0 seconds is considered 'Poor' performance. +### Largest Contentful Paint -Currently, 74% of desktop pages achieve a 'Good' LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of 'Poor' experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. +To understand when a page feels meaningfully loaded, we look at [Largest Contentful Paint (LCP)](https://web.dev/articles/lcp). This metric measures the time from when the user first requests the page to when the largest visible element—typically a hero image, headline, or prominent text block—finishes rendering on screen. A page with an LCP score under 2.5 seconds is considered "good", scores between 2.5 and 4.0 seconds indicate that the page "needs improvement", and a score over 4.0 seconds is considered "poor" performance. {{ figure_markup( image="lcp-performance-by-device-2025.png", - caption=" Percentage of websites having good, needs improvement, and poor FCP, segmented by device type.", - description="Stacked bar chart showing LCP (Largest Contentful Paint) performance for both desktop and mobile device types. Each bar chart has 3 categories: good (under 2.5 seconds), needs improvement (2.5–4.0 seconds), and poor (over 4 seconds). For desktop websites, 74% achieve a good LCP, 18% need improvement, and 7% perform poorly. On phone devices, 62% of websites have a good LCP, 25% need improvement, and 13% perform poorly.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=546968144&format=interactive", + caption="LCP performance by device.", + description="Stacked bar chart showing LCP (Largest Contentful Paint) performance for both desktop and mobile device types. Each bar chart has 3 categories: \"good\" (under 2.5 seconds), \"needs improvement\" (2.5–4.0 seconds), and \"poor\" (over 4 seconds). For desktop websites, 74% achieve a good LCP, 18% need improvement, and 7% perform poorly. On phone devices, 62% of websites have a good LCP, 25% need improvement, and 13% perform poorly.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=546968144&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -While FCP captures the first visual response, LCP reflects when the page's primary content becomes visible and typically involves a longer and more complex critical path. Like FCP, LCP can be understood as the sum of several sequential phases: the time to receive the first byte from the server (TTFB), the delay before the browser begins fetching the LCP resource (resource load delay), the time spent loading that resource (resource load duration), and any delay before the element is rendered (element render delay). Understanding where time is spent across these phases is key to improving LCP, and in turn, overall [Core Web Vitals performance](https://web.dev/articles/defining-core-web-vitals-thresholds). +Currently, 74% of desktop pages achieve a "good" LCP score compared to 62% on mobile, with mobile also showing nearly double the rate of "poor" experiences (13% versus 7%); a gap that is consistent with the combined effects of slower networks and less capable devices on mobile. -#### LCP Content Types +#### LCP content types To optimize LCP effectively, we first need to understand what types of content typically become the LCP element. {{ figure_markup( image="top-lcp-content-types-2025.png", - caption="Top three LCP content types segmented by device", + caption="LCP content types.", description="Bar chart showing the top LCP content types for desktop and mobile in 2025. For desktop, 85.3% of pages have images as the LCP content type, while 76.0% of mobile pages have images as their LCP content. Text accounts for 14.4% of LCP content on desktop and 23.7% on mobile. Inline images are rare, making up 0.3% of LCP content on desktop and 0.4% on mobile.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1953839389&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1953839389&format=interactive", sheets_gid="1342917583", sql_file="lcp_resource_type.sql" ) }} -The trend in LCP content types is similar to previous years (see also [2022](https://docs.google.com/spreadsheets/d/1TPA_4xRTBB2fQZaBPZHVFvD0ikrR-4sNkfJfUEpjibs/edit?gid=872701281#gid=872701281) and [2024](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=1760287339#gid=1760287339) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. +The trend in LCP content types is similar to previous years (see also [2022](../2022/performance#fig-8) and [2024](../2024/performance#lcp-content-types) data). Images continue to dominate LCP elements across both device types, with 85.3% of desktop pages and 76% of mobile pages having an image as their LCP element. Text-based LCP elements account for much of the remainder—14.4% on desktop versus 23.7% on mobile. This gap likely reflects responsive design practices where hero images are resized, replaced with smaller visuals, or removed entirely on narrower viewports, allowing headline text to become the largest visible element instead. Inline images (data URIs embedded directly in HTML) remain rare at around 0.5% of pages, indicating limited and careful adoption and awareness of the trade-offs related to larger HTML payloads and caching efficiency. -#### LCP Image Formats +#### LCP image formats -Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter](../2024/performance#lcp-sub-parts) showed this phase has less optimization potential than others, image format efficiency still contributes to overall performance. +Given this continued dominance of images as the LCP element, it becomes relevant to look at the image formats in use, as it directly affects the resource load duration phase of LCP. While the [2024 chapter showed this phase has less optimization potential than others](../2024/performance#lcp-sub-parts), image format efficiency still contributes to overall performance. {{ figure_markup( image="lcp-image-formats-2025.png", - caption="Percentage of pages that use a given image file format for their LCP images.", + caption="LCP image formats.", description="Bar chart showing the distribution of LCP (Largest Contentful Paint) image formats for desktop and mobile. JPG is the most common format, used by 57% of desktop pages and a similar percentage of mobile pages. PNG is the second most common format, used by 26% of pages. WebP follows with 11%, while other formats such as MP4, SVG, GIF, and AVIF are used by less than 2% of pages. ICO, HEIC, and HEIF formats are barely used, with their percentages rounding to 0% for both desktop and mobile.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=319360439&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=319360439&format=interactive", sheets_gid="1338677449", sql_file="lcp_format.sql" ) @@ -207,19 +210,19 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Modern formats like WebP and AVIF offer better compression than legacy formats, meaning smaller file sizes and faster transfers. However, we see that legacy JPG and PNG are still highly used (JPG accounting for 57% of LCP images and PNG at 26%). -There are some encouraging signs though, such as JPG usage has [decreased by 4%](https://docs.google.com/spreadsheets/d/15038wEIoqY53Y_kR8U6QWM-PBO31ZySQGi147ABTNBc/edit?gid=240287365#gid=240287365) since 2024 while WebP has increased by 4%. +There are some encouraging signs though, such as JPG usage has decreased by 4% [since 2024](../2024/performance#fig-19) while WebP has increased by 4%. With PNG and other formats being the same as their 2024 percentages (aside from AVIF reaching 0.7%), it looks like web pages are moving from JPG to WebP, albeit slowly. This slow adoption may reflect the cost of migrating existing image pipelines and content libraries, even as modern formats have broad support. -#### Cross Hosted LCP Images +#### Cross-origin LCP images The origin of an LCP image affects how quickly the browser can begin downloading it, impacting the resource load delay phase. When an image is hosted on the same domain as the page, the browser can reuse the existing connection. Cross-origin images may incur additional connection setup (DNS/TCP/TLS), especially when the origin isn't already connected, increasing the time before the download can start. {{ figure_markup( - image="cross-hosted-lcp-images-2025.png", - caption="Cross-hosted LCP images.", + image="cross-origin-lcp-images-2025.png", + caption="Cross-origin LCP images.", description="Bar chart showing same host is used for the LCP image for 51% of desktop and 44% of mobile pages, cross host for 18% and 16% respectively, and other content is the LCP element for 32% of desktop and 40% of mobile pages.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=820268406&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=820268406&format=interactive", sheets_gid="540816699", sql_file="lcp_host.sql" ) @@ -229,71 +232,76 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp The "other content" category (32% desktop, 40% mobile) represents pages where the LCP element isn't an image at all, likely text blocks or background elements. The higher mobile percentage for "other content" may reflect responsive design patterns where hero images are deprioritized on smaller viewports, though we do not conclusively know using this data alone. -#### LCP Resource Prioritization +#### LCP resource prioritization Since resource load delay phase often constitutes a large portion of LCP time, browsers provide tools to help accelerate critical resources. The `fetchpriority="high"` attribute tells the browser to prioritize a resource higher than it normally would—useful since images are typically not considered high priority even when they're the LCP element. Meanwhile, `` instructs the browser to fetch a resource before it would naturally discover it in the HTML. {{ figure_markup( image="adoption-of-lcp-prior-2025.png", - caption="Percentage of pages using different LCP prioritization techniques, segmented by device type.", + caption="Adoption of LCP prioritization techniques.", description='Bar chart showing adoption of LCP prioritization techniques on desktop and mobile. Preload usage is at 2.2% desktop and 2.1% mobile. fetchpriority="high" shows the highest adoption at 16.3% desktop and 17.3% mobile. fetchpriority="low" is rarely used at 0.3% for both device types.', -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1243485141&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1243485141&format=interactive", sheets_gid="1463760382", sql_file="lcp_async_fetchpriority.sql" ) }} -Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15%](../2024/performance#lcp-prioritization) in 2024. Preload usage remains low at 2.1-2.2%. Both techniques are relatively simple to implement, so there's opportunity for more sites to use them. +Adoption of `fetchpriority="high"` has continued its growth, now appearing on 17% of mobile pages with LCP images—up from [15% in 2024](../2024/performance#lcp-prioritization). Preload usage remains low at 2.1-2.2%. + +Both techniques are relatively simple to implement, though it should be noted that preload is only necessary when the resource is not quickly discoverable in the HTML document. Additionally when preload is used, it should be combined with `fetchpriority="high"` to ensure the image is fetched with high priority—which is not guaranteed by just using preload alone. The 0.3% of pages using `fetchpriority="low"` on their LCP images is likely unintentional, since identifying which image will become the LCP element at development time can be tricky for developers (varies by viewport and content). #### LCP lazy loading -Lazy loading for images means delaying the loading of images until they are needed for eg. loading below the fold images only when they are close to entering the user's viewport, instead of loading all images at page load. This helps prioritize critical above-the-fold content. Lazy loading is generally a useful optimization, but applying it to the LCP image can be harmful because it delays the main content users are waiting to see. +Lazy loading for images means delaying the loading of images until they are needed, for example loading below the fold images only when they are close to entering the user's viewport, instead of the default loading all images at page load. This helps prioritize critical above-the-fold content. Lazy loading is generally a useful optimization, but applying it to the LCP image can be harmful because it delays the main content users are waiting to see. {{ figure_markup( - caption="Percentage of desktop and mobile pages that lazy load the LCP image.", - content="16%", + caption="Percentage of mobile pages that lazy load the LCP image.", + content="17%", classes="big-number", sheets_gid="1877819046", sql_file="lcp_lazy.sql" ) }} -Overall, about 16% of pages lazy-load their LCP image on both desktop and mobile, a figure that has held steady since 2024. However, the composition has shifted: native `loading="lazy"` usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind `data-src` attributes have decreased (from 6.7% to 5.9% on mobile). Native `loading="lazy"` accounts for a larger share of LCP lazy-loading than custom approaches, indicating a shift toward standardized browser features. +Overall, about 16%-17% of pages lazy-load their LCP image, a figure that has held steady since 2024. However, the composition has shifted: native `loading="lazy"` usage has increased slightly (from 9.5% to 10.4% on mobile, 10.2% to 11.5% on desktop), while custom approaches like hiding sources behind `data-src` attributes have decreased (from 6.7% to 5.9% on mobile). Native `loading="lazy"` accounts for a larger share of LCP lazy-loading than custom approaches, indicating a shift toward standardized browser features. -### Loading Speed Conclusion +### Loading speed conclusion In summary, the loading metrics highlight following key trends: -* FCP and LCP have both improved since 2024, with desktop consistently outperforming mobile. -* Adoption of newer image formats remains limited, despite a gradual shift from JPG to WebP. -* About 16% of web pages still lazy load their LCP image, delaying the display of primary content. + +- FCP and LCP have both improved since 2024, with desktop consistently outperforming mobile. +- Adoption of newer image formats remains limited, despite a gradual shift from JPG to WebP. +- About 16% of web pages still lazy load their LCP image, delaying the display of primary content. ## Interactivity +Historically web performance measurement has concentrated on loading speed but there is an increasing recognition—thanks to metrics like INP—that measuring interactivity on the page after it has loaded is equally, if not more important. + ### Interaction to Next Paint (INP) -[Interaction to Next Paint (INP)](https://web.dev/articles/inp) is calculated by observing all the interactions made with a page during the session and reporting the worst latency (for most sites). An interaction's latency consists of the single longest duration of a group of event handlers that drive the interaction, from the time the user begins the interaction to the moment the browser is next able to paint a frame. +[Interaction to Next Paint (INP)](https://web.dev/articles/inp) is calculated by observing all the interactions made with a page during the session and reporting the worst latency (for most sites, there is an additional allowance for pages with many interactions to ignore outliers). An interaction's latency consists of the single longest duration of a group of event handlers that drive the interaction, from the time the user begins the interaction to the moment the browser is next able to paint a frame. For an origin to receive a "good" INP score, at least 75% of all sessions need an INP score of 200 milliseconds or less. The INP score is the slowest or near-slowest interaction time for all interactions on the page. See [Details on how INP is calculated](https://web.dev/articles/inp#good-score) for more information. {{ figure_markup( image="inp-performance-by-device-2025.png", - caption="Distribution of INP performance by device.", + caption=" INP performance by device.", description="Stacked bar chart showing INP performance by device, categorized as good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For desktop, 97% of websites have good INP, 2% need improvement, and less than 1% perform poorly. For phones, 77% of websites have good INP, 21% need improvement, and 3% perform poorly.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=73846591&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -In 2025, mobile INP performance showed encouraging improvement, with 77% of websites achieving good scores—up from 74% in 2024. This 3 percentage point gain represents meaningful progress, as millions of websites now deliver more responsive experiences to mobile users. Desktop performance remained exemplary at 97%, maintaining the high standard established in previous years. +In 2025, mobile INP performance showed encouraging improvement, with 77% of websites achieving good scores—up from [74% in 2024](../2024/performance#interaction-to-next-paint-inp). This 3 percentage point gain represents meaningful progress, as millions of websites now deliver more responsive experiences to mobile users. Desktop performance remained exemplary at 97%, maintaining the high standard established in previous years. Notably, the mobile-desktop performance gap has begun to narrow, shrinking from 23 percentage points in 2024 to 20 percentage points in 2025. While a 20 percentage point gap remains substantial, this marks the first measurable step toward closing the divide. The trend demonstrates that mobile optimization efforts are gaining traction across the web. {{ figure_markup( image="mobile-inp-performance-by-rank-2025.png", caption="INP performance on mobile devices segmented by rank.", - description="Stacked bar chart showing mobile INP performance by website rank, categorized into good (under 200 milliseconds), needs improvement (200–500 milliseconds), and poor (over 500 milliseconds). For the top 1,000 websites, 63% have good INP, 32% need improvement, and 5% perform poorly. For the top 10,000 websites, 56% are in the good range, 38% need improvement, and 6% are poor. In the top 100,000, 56% are good, 38% need improvement, and 6% are poor. For the top 1,000,000 websites, 64% have good INP, 31% need improvement, and 5% are poor. As the rank increases to the top 10,000,000 websites, 76% are good, 21% need improvement, and 3% are poor. Finally, for all websites, 77% have good INP, 21% need improvement, and 3% are poor.", + description="Stacked bar chart showing mobile INP performance by website rank, categorized into \"good\" (under 200 milliseconds), \"needs improvement\" (200–500 milliseconds), and \"poor\" (over 500 milliseconds). For the top 1,000 websites, 63% have good INP, 32% need improvement, and 5% perform poorly. For the top 10,000 websites, 56% are in the good range, 38% need improvement, and 6% are poor. In the top 100,000, 56% are good, 38% need improvement, and 6% are poor. For the top 1,000,000 websites, 64% have good INP, 31% need improvement, and 5% are poor. As the rank increases to the top 10,000,000 websites, 76% are good, 21% need improvement, and 3% are poor. Finally, for all websites, 77% have good INP, 21% need improvement, and 3% are poor.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1626195308&format=interactive", sheets_gid="1354135914", sql_file="inp_by_rank.sql" @@ -309,14 +317,14 @@ The substantial year-over-year improvements suggest that major websites are succ {{ figure_markup( image="good-inp-for-home-pages-and-secondary-pages-2025.png", - caption="Good INP performance for home pages and secondary pages.", + caption="Good INP for home pages and secondary pages.", description="Bar chart showing the percentage of pages with good INP for home pages and secondary pages on desktop and mobile. For home pages, 97% of desktop pages have good INP, while 80% of mobile pages achieve good INP. For secondary pages, 95% of desktop pages have good INP, compared to 69% of mobile pages.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1226158281&format=interactive", sheets_gid="1721986308", - sql_file="inp_by_page_type.sql" + sql_file="web_vitals_by_device_secondary_pages.sql" ) }} -In a notable shift from 2024, home pages now demonstrate significantly better INP performance than secondary pages on mobile devices. Mobile home pages achieved 80% good INP scores—a 7 percentage point improvement over 2024—while secondary pages declined to 69%, creating an 11 percentage point gap. This divergence represents a change from 2024, when home and secondary pages performed nearly identically (73% vs 72% on mobile). Desktop performance remained strong for both page types at 97% and 95% respectively. +In a notable shift [from 2024](../2024/performance#fig-21), home pages now demonstrate significantly better INP performance than secondary pages on mobile devices, when looking at page-level CrUX data. Mobile home pages achieved 80% good INP scores—a 7 percentage point improvement over 2024. Secondary pages declined to 69%, creating an 11 percentage point gap. This divergence represents a change from 2024, when home and secondary pages performed nearly identically (73% vs 72% on mobile). Desktop performance remained strong for both page types at 97% and 95% respectively. The improvement in home page INP likely reflects increased optimization focus on landing pages, where first impressions are critical. However, the decline in secondary page performance warrants attention, as these pages often contain more complex interactions like filters, carousels, and form validation, while also accumulating JavaScript from third-party widgets and analytics that activate deeper in the user journey. @@ -324,20 +332,21 @@ The improvement in home page INP likely reflects increased optimization focus on [Total Blocking Time (TBT)](https://web.dev/articles/tbt) measures the total amount of time after First Contentful Paint (FCP) where the main thread was blocked for long enough to prevent input responsiveness. -TBT is a lab metric and is often used as a proxy for field-based responsiveness metrics like INP, which can only be collected using real user monitoring. [Lab-based TBT and field-based INP](https://colab.research.google.com/drive/12lJmAABgyVjaUbmWvrbzj9BkkTxw6ay2) are correlated, meaning TBT results generally reflect INP trends. A TBT below 200 milliseconds is considered good, but most mobile websites exceed this target significantly. +TBT is a lab metric and is often used as a proxy for field-based responsiveness metrics like INP, which can only be collected using real user monitoring. [Lab-based TBT and field-based INP are correlated](https://colab.research.google.com/drive/12lJmAABgyVjaUbmWvrbzj9BkkTxw6ay2), meaning TBT results generally reflect INP trends. A TBT below 200 milliseconds is considered good, but most mobile websites exceed this target significantly. {{ figure_markup( image="distribution-of-tbt-per-page-2025.png", - caption="TBT per page by percentile.", + caption="Distribution of TBT per page.", description="Bar chart showing the distribution of Total Blocking Time (TBT) per page in milliseconds (ms) by percentile. At the 10th percentile, desktop TBT is 0 milliseconds, while mobile is 127 milliseconds. At the 25th percentile, desktop TBT is 3 milliseconds, while mobile is 679 milliseconds. At the 50th percentile, desktop has 92 milliseconds of TBT, and mobile rises significantly to 1,916 milliseconds. At the 75th percentile, desktop reaches 336 milliseconds, with mobile at 4,193 milliseconds. Finally, at the 90th percentile, desktop TBT is 802 milliseconds, and mobile climbs to 7,555 milliseconds.", chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=566862109&format=interactive", sheets_gid="309018170", sql_file="tbt_by_percentile.sql" ) }} -The median TBT on mobile increased to 1,916 milliseconds in 2025—up 58% from 1,209 milliseconds in 2024. Desktop TBT also rose from 67 milliseconds to 92 milliseconds. At the 90th percentile, mobile users now face over 7.5 seconds of blocking time before the page becomes fully interactive. +The median TBT on mobile increased to 1,916 milliseconds in 2025—up [58% from 1,209 milliseconds in 2024](../2024/performance#total-blocking-time-tbt). Desktop TBT also rose from 67 milliseconds to 92 milliseconds. At the 90th percentile, mobile users now face over 7.5 seconds of blocking time before the page becomes fully interactive. This presents an apparent contradiction: while field-based INP scores improved, lab-based TBT worsened significantly. Several factors could be behind this divergence. + - Real-world devices have become more powerful, masking increased code complexity that lab tests reveal using consistent emulated devices. - Some sites may be optimizing the interactions that dominate INP while still executing substantial background work that shows up in TBT. - The INP metric continues to evolve, with upcoming improvements focused on stabilizing measurements and better capturing real-world interaction behavior, as documented in Chromium's INP metric changelog. @@ -348,110 +357,111 @@ The widening gap between desktop (92ms median) and mobile (1,916ms median) reinf The main takeaways of the interactivity results are: -* Mobile INP improved to 77% (up from 74%), narrowing the mobile-desktop gap to 20 percentage points -* Top 1,000 websites achieved the strongest gains, improving from 53% to 63% good INP -* Home pages now outperform secondary pages significantly (80% vs 69% on mobile) -* TBT increased 58% despite INP improvements, indicating heavier overall JavaScript execution +- Mobile INP improved to 77% (up from 74%), narrowing the mobile-desktop gap to 20 percentage points. +- Top 1,000 websites achieved the strongest gains, improving from 53% to 63% good INP. +- Home pages now outperform secondary pages significantly (80% vs 69% on mobile). +- TBT increased 58% despite INP improvements, indicating heavier overall JavaScript execution. -## Visual Stability +## Visual stability -Visual stability is primarily measured by Cumulative Layout Shift (CLS) and remains a key indicator of how predictable and smooth pages feel to users. In 2025, CLS metric continues to trend positively on both desktop and mobile devices. This section focuses on highlighting progress, device differences, and shifts over the recent years. +Visual stability is measured by Cumulative Layout Shift (CLS) and is an indicator of how predictable and smooth pages feel to users. This section focuses on highlighting progress, device differences, and shifts over the recent years. ### Cumulative Layout Shift (CLS) -Cumulative Layout Shift (CLS) measures unexpected layout movement during page load and interaction, with higher scores indicating more disruptive visual shifts. CLS scores are categorized into three thresholds: Good (≤ 0.1), Needs Improvement (> 0.1 and ≤ 0.25), and Poor (> 0.25), providing a standardized way to evaluate and compare visual stability across websites. +Cumulative Layout Shift (CLS) measures unexpected layout movement during page load and interaction, with higher scores indicating more disruptive visual shifts. CLS scores are categorized into three thresholds: "good" (≤ 0.1), "needs improvement" (> 0.1 and ≤ 0.25), and "poor" (> 0.25), providing a standardized way to evaluate and compare visual stability across websites. {{ figure_markup( image="good-cls-by-device-2025.png", - caption="CLS performance by device for 2025", - description="The chart shows the distribution of Cumulative Layout Shift (CLS) performance by device in 2025, categorized as Good, Needs Improvement, and Poor. On desktop, 72% of pages achieve a Good CLS score, 17% fall into Needs Improvement, and 10% are classified as Poor. Mobile pages perform better overall, with 81% achieving Good CLS, 10% in Needs Improvement, and 9% in the Poor category.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=79158134&format=interactive", + caption="CLS performance by device", + description="The chart shows the distribution of Cumulative Layout Shift (CLS) performance by device in 2025, categorized as \"good\", \"needs improvement\", and \"poor\". On desktop, 72% of pages achieve a good CLS score, 17% fall into needs improvement, and 10% are classified as poor. Mobile pages perform better overall, with 81% achieving good CLS, 10% in needs improvement, and 9% in the \"poor\" category.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=79158134&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -In 2025, 72% of desktop pages and 81% of mobile pages achieve a Good Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of Needs Improvement CLS (17%) compared to mobile (10%), while the proportion of pages with Poor CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. +In 2025, 72% of desktop pages and 81% of mobile pages achieve a "good" Cumulative Layout Shift (CLS) score. Desktop pages show a higher share of "needs improvement" CLS (17%) compared to mobile (10%), while the proportion of pages with "poor" CLS is similar across devices at around 9-10%. This shows that most pages are close to meeting the CLS threshold, with fewer pages experiencing severe layout instability. -[Compared to 2024](../2024/performance#cumulative-layout-shift-cls), the share of desktop pages with Poor CLS decreased by 1%, with a similar increase in pages classified as Needs Improvement. +[Compared to 2024](../2024/performance#cumulative-layout-shift-cls), the share of desktop pages with "poor" CLS decreased by 1%, with a similar increase in pages classified as "needs improvement". {{ figure_markup( image="good-cls-by-device.png", caption="CLS performance by device from 2021 to 2025", description="The chart shows the percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from 2021 to 2025. On desktop, the share of sites with good CLS increases from 62% in 2021 to 72% in 2025. On mobile, good CLS increases from 62% in 2021 to 81% in 2025. In each year from 2022 onward, mobile has a higher percentage of sites with good CLS than desktop.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1623776585&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1623776585&format=interactive", sheets_gid="1060077014", sql_file="web_vitals_by_device.sql" ) }} -Looking at the past years, the percentage of websites meeting the Good CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. However, the increase compared to last year is marginal, with the share of sites meeting the Good CLS threshold on desktop remaining unchanged and mobile improving by only 2%. +Looking at the past years, the percentage of websites meeting the "good" CLS threshold has increased each year for both desktop and mobile. Desktop CLS improved gradually from 62% in 2021 to 72% in 2025, while mobile saw stronger gains, reaching 81% over the same period. However, the increase compared to last year is marginal, with the share of sites meeting the "good" CLS threshold on desktop remaining unchanged and mobile improving by only 2%. {{ figure_markup( image="good-cls-home-secondary-page.png", caption="The percent of websites having good CWV, segmented by page type.", description="The chart shows the percentage of pages with good Cumulative Layout Shift (CLS) scores for home pages and secondary pages on desktop and mobile in 2025. For home pages, 71% of desktop pages and 79% of mobile pages achieve good CLS. For secondary pages, the share increases to 73% on desktop and 81% on mobile, with mobile outperforming desktop for both page types.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=24521456&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=24521456&format=interactive", sheets_gid="1721986308", sql_file="web_vitals_by_device_secondary_pages.sql" ) }} -Pages beyond the homepage show slightly better visual stability than homepages across both desktop and mobile devices. In 2025, 73% of desktop secondary pages achieve Good CLS compared to 71% of desktop homepages, while on mobile 81% of secondary pages meet the Good CLS threshold versus 79% of mobile homepages. This suggests that homepages, which often contain more dynamic content such as hero media, banners, and promotional elements, remain more prone to layout shifts than secondary pages. +Pages beyond the homepage show slightly better visual stability than homepages across both desktop and mobile devices when looking at page-level CrUX data. In 2025, 73% of desktop secondary pages achieve "good" CLS compared to 71% of desktop homepages, while on mobile 81% of secondary pages meet the "good" CLS threshold versus 79% of mobile homepages. This suggests that homepages, which often contain more dynamic content such as hero media, banners, and promotional elements, remain more prone to layout shifts than secondary pages. {{ figure_markup( image="good-cls-by-month.png", caption="Monthly trend of websites with good CLS by device from 2023 to 2025.", - description="The chart shows the monthly percentage of websites with good Cumulative Layout Shift (CLS) scores on desktop and mobile from January 2023 through early 2025. Desktop increases from approximately 65% at the start of 2023 to around 72% by 2025, while mobile rises from about 75% to roughly 79–80% over the same period. Mobile maintains a higher share of good CLS than desktop throughout the entire timeframe.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=142338615&format=interactive", + description="The chart shows the monthly percentage of websites with \"good\" Cumulative Layout Shift (CLS) scores on desktop and mobile from January 2023 through early 2025. Desktop increases from approximately 65% at the start of 2023 to around 72% by 2025, while mobile rises from about 75% to roughly 79–80% over the same period. Mobile maintains a higher share of good CLS than desktop throughout the entire timeframe.", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=142338615&format=interactive", sheets_gid="1891926464", sql_file="monthly_cls_lcp.sql" ) }} -From 2023 to 2025, the share of sites with Good CLS increases steadily across both device types, with mobile consistently outperforming desktop. While there are minor fluctuations over time, both trends show a gradual upward trajectory with no sharp inflection points, indicating sustained improvements rather than sudden changes. +From 2023 to 2025, the share of sites with "good" CLS increases steadily across both device types, with mobile consistently outperforming desktop. While there are minor fluctuations over time, both trends show a gradual upward trajectory with no sharp inflection points, indicating sustained improvements rather than sudden changes. + +### CLS best practices + +There are a number of best practices sites can follow to reduce the likelihood of CLS. ### Back/forward cache (bfcache) -[The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, BFCache can also help avoid layout shifts that might otherwise occur during re-navigation. +[The back/forward cache (bfcache)](https://web.dev/articles/bfcache) allows browsers to instantly restore a page from memory when users navigate using the browser's back or forward buttons. Rather than reloading the page and re-executing JavaScript, the browser preserves the page's state, resulting in near-instant navigations and improved user experience. Because pages are restored in their previous state, bfcache can also help avoid layout shifts that might otherwise occur during re-navigation. -However, all pages are not eligible for BFCache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. -While BFCache behavior is ultimately handled by the browser, developers can [evaluate page eligibility](https://developer.chrome.com/docs/devtools/application/back-forward-cache) by using Chrome DevTools. +However, not all pages are eligible for bfcache. Eligibility depends on a set of page lifecycle requirements, and pages that violate these constraints fall back to full reloads. You can see a list of ineligible reasons in the HTML specification. While bfcache behavior is ultimately handled by the browser, developers can [evaluate page eligibility](https://developer.chrome.com/docs/devtools/application/back-forward-cache) by using Chrome DevTools. -Pages may be excluded from BFCache due to known lifecycle behaviors, including the use of unload or beforeunload event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache (BFCache). +Pages may be excluded from bfcache due to known lifecycle behaviors, including the use of unload or `beforeunload` event handlers, non-restorable side effects such as active connections or unmanaged timers, and certain third-party scripts that interfere with safe page restoration. Hence, the unload event is deprecated and discouraged due to its negative impact on performance and its incompatibility with the back/forward cache. -Browsers [recommend avoiding unload](https://developer.chrome.com/docs/web-platform/deprecating-unload) in favor of alternatives such as visibilitychange or pagehide, a shift that is reflected in recent usage patterns. [Compared to 2024](../2024/performance#backforward-cache-bfcache), unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for BFCache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit BFCache eligibility for a significant portion of the web, as seen below in the graph. +The Chrome team [recommends avoiding `unload`](https://developer.chrome.com/docs/web-platform/deprecating-unload) in favor of alternatives such as `visibilitychange` or `pagehide`, a shift that is reflected in recent usage patterns. [Compared to 2024](../2024/performance#backforward-cache-bfcache), unload handler usage declined across all ranks and both devices in 2025. This reduction suggests that more pages are now eligible for bfcache behavior. Despite this progress, unload handlers remain more common on higher-ranked sites and on desktop, continuing to limit bfcache eligibility for a significant portion of the web, as seen below in the graph. {{ figure_markup( image="unload-handler-usage.png", caption="Unload handler usage by website rank and device (2025)", description="The chart shows the percentage of pages using unload event handlers by website rank on desktop and mobile in 2025. Among the top 1,000 websites, unload handlers appear on 28% of desktop pages and 20% of mobile pages, with usage declining steadily as rank increases. For all websites, unload handlers are present on 11% of desktop pages and 10% of mobile pages, with desktop usage higher than mobile at every rank.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=140804120&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=140804120&format=interactive", sheets_gid="1870744021", sql_file="bfcache_unload.sql" ) }} -It is interesting to see that unload handler usage decreases consistently as the site rank increases. Among higher-traffic websites (top 1000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. +It is interesting to see that unload handler usage decreases consistently as the site rank increases. Among higher-traffic websites (top 1,000 sites), unload handlers are present on 28% of desktop pages and 20% of mobile pages, and this share declines steadily across lower-ranked sites, reaching 11% on desktop and 10% on mobile. At every rank, desktop pages exhibit higher unload handler usage than mobile, suggesting that unload handlers remain more common on larger, more complex sites than across the long tail of the web. Possibly due to top sites relying more heavily on analytics, advertising, and legacy lifecycle patterns that register unload handlers. Another common reason for websites to fall in the bfcache ineligibility category is the use of the `Cache-Control: no-store` directive. This cache control header instructs the browser (and any intermediate caches) not to store a copy of the resource, ensuring that the content is fetched from the server on every request. {{ figure_markup( caption="Percentage of sites using `Cache-Control: no-store`.", - content="23.4%", + content="23%", classes="big-number", sheets_gid="374304732", sql_file="bfcache_cachecontrol_nostore.sql" ) }} -23.4% of the sites now use `Cache-Control: no-store`, up from 21% [in 2024](../2024/performance#backforward-cache-bfcache). This increase may reflect the growing prevalence of authenticated and personalized experiences, stricter security or compliance requirements, and evolving browser behavior that has reduced the performance impact of `Cache-Control: no-store`, particularly with respect to BFCache eligibility. - -Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid BFCache, [Chrome may allow BFCache](https://developer.chrome.com/docs/web-platform/bfcache-ccns) for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a BFCache blocker. +23% of the sites now use `Cache-Control: no-store`, up from 21% [in 2024](../2024/performance#backforward-cache-bfcache). This increase may reflect the growing prevalence of authenticated and personalized experiences, stricter security or compliance requirements, and evolving browser behavior that has reduced the performance impact of `Cache-Control: no-store`, particularly with respect to bfcache eligibility. -### CLS Best Practices +Note that while historically all browsers have treated `Cache-Control: no-store` as a reason to avoid bfcache, [Chrome may allow bfcache](https://developer.chrome.com/docs/web-platform/bfcache-ccns) for some `no-store` pages when safe. Other browsers including Firefox and Safari generally still treat `Cache-Control: no-store` as a bfcache blocker. -#### Fixed Image Sizes +#### Fixed image sizes Images are one of the most common causes of Cumulative Layout Shift (CLS) when the browser does not know how much space to reserve for them upfront. If an image loads without explicit dimensions, the browser initially lays out the page as if the image has zero height, and then shifts surrounding content once the image finishes loading. @@ -459,21 +469,21 @@ To prevent this, images should always have intrinsic dimensions defined either v {{ figure_markup( caption="The percent of mobile pages that fail to set explicit dimensions on at least one image.", - content="62.38%", + content="62%", classes="big-number", sheets_gid="1870744021", sql_file="cls_unsized_images.sql" )}} -In 2025, a significant share of pages still risk layout instability due to images without explicit dimensions. On mobile, 62.38% of pages fail to set dimensions on at least one image, an improvement from 66% in 2024, indicating gradual adoption of CLS friendly image practices. +In 2025, a significant share of pages still risk layout instability due to images without explicit dimensions. On mobile, 62% of pages fail to set dimensions on at least one image, an improvement from 66% in 2024, indicating gradual adoption of CLS friendly image practices. -Desktop pages show a similar but slightly worse pattern, with 65.45% affected in 2025, down from 69% in 2024. While the downward trend is encouraging, the majority of pages still leave the browser guessing image sizes at layout time, making images one of the most persistent and preventable contributors to CLS. +Desktop pages show a similar but slightly worse pattern, with 65% affected in 2025, down from 69% in 2024. While the downward trend is encouraging, the majority of pages still leave the browser guessing image sizes at layout time, making images one of the most persistent and preventable contributors to CLS. {{ figure_markup( image="unsized-images-per-page.png", - caption="The percent of mobile pages that fail to set explicit dimensions on at least one image.", + caption="Unsized images per page.", description="Bar chart showing the number of unsized images per page at different percentiles for desktop and mobile in 2025. At the 50th percentile, desktop pages have 2 unsized images on average, compared to one on mobile, increasing to nine on desktop and eight on mobile at the 75th percentile. At the 90th percentile, the count rises sharply to 25 unsized images on desktop and 22 on mobile, while lower percentiles show little to no unsized images.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=106540407&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=106540407&format=interactive", sheets_gid="1218246619", sql_file="cls_unsized_images.sql" ) @@ -483,15 +493,15 @@ The median number of unsized images per web page is two. At the 90th percentile, {{ figure_markup( image="unsized-images-by-height.png", - caption="Distribution of the heights of unsized images.", + caption="Unsized image height.", description="Bar chart showing the height of unsized images at different percentiles for desktop and mobile in 2025. At the 50th percentile, unsized images have a height of 111px on desktop and 98px on mobile, increasing to 246px and 200px respectively at the 75th percentile. At the 90th percentile, unsized image heights reach 413px on desktop and 300px on mobile", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=2046199622&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=2046199622&format=interactive", sheets_gid="116114708", sql_file="cls_unsized_image_height.sql" ) }} -From the chart above, unsized images are much taller at higher percentiles. At the median, unsized images are about 100px tall on both desktop and mobile, but by the 90th percentile they grow to around 413px on desktop and 300px on mobile. Taller unsized images increase CLS because they cause larger vertical layout shifts when they load, especially if they appear in the viewport. Since web pages scroll vertically, missing image height has a much bigger impact on CLS than missing width. +Unsized images are much taller at higher percentiles. At the median, unsized images are about 100px tall on both desktop and mobile, but by the 90th percentile they grow to around 413px on desktop and 300px on mobile. Taller unsized images increase CLS because they cause larger vertical layout shifts when they load, especially if they appear in the viewport. Since web pages scroll vertically, missing image height has a much bigger impact on CLS than missing width. #### Fonts @@ -499,21 +509,21 @@ Browsers often initially display text using a fallback (system) font while a cus {{ figure_markup( caption="The percent of mobile pages that use web fonts.", - content="86.6%", + content="87%", classes="big-number", sheets_gid="1246939241", sql_file="font_usage_mobile.sql" )}} -A significant majority 86.6% of mobile pages utilize at least one web font. This widespread use of custom typography requires downloading and application, substantially [raising the potential](https://web.dev/articles/optimize-cls#web-fonts) for layout shifts. +A significant majority 87% of mobile pages utilize at least one web font. This widespread use of custom typography requires downloading and application, substantially [raising the potential](https://web.dev/articles/optimize-cls#web-fonts) for layout shifts. To effectively minimize layout shifts caused by fonts, it is crucial to load essential fonts as early as possible, ideally using resource hints. If a font loads before or very near the first render, the browser can display text using the correct font immediately. This prevents the swap from a default font, which is a common cause of layout shifts. Current data indicates that this opportunity is frequently missed. {{ figure_markup( image="fonts-resource-hint-usage.png", - caption="Adoption of resource hints for font resources.", + caption="Fonts resource hints usage.", description='Bar chart showing the percentage of pages using font-related resource hints on desktop and mobile in 2025. `dns-prefetch` is the most commonly used hint, appearing on 24% of pages on both `desktop` and `mobile`, followed by `preconnect` at 22% on each device. `preload` is used less frequently at 15% on `desktop` and 16% on `mobile`, while `prefetch` remains rare at around 5% on both platforms.', -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=111695502&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=111695502&format=interactive", sheets_gid="667157886", sql_file="font_resource_hint_usage.sql" ) @@ -521,63 +531,62 @@ chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtp Font resource hint usage is very similar across desktop and mobile. About 24% of pages use dns-prefetch and 22% use preconnect, which mainly helps in reducing connection setup time. Preload is a good way to make fonts available early during rendering but is used on only 15-16% of pages. Even fewer pages, around 5%, use prefetch, which is generally less useful for fonts needed during the initial page load. This suggests there is substantial opportunity to improve font performance through more targeted use of resource hints. +#### Non-composited animations -#### Animations - -[Non-composited](https://developer.chrome.com/docs/lighthouse/performance/non-composited-animations) animations contribute to layout shift because they modify layout-affecting properties, triggering reflows that move surrounding content after rendering has begun. Animations using composited properties like `transform` and `opacity` avoid this by updating visual appearance without changing layout, making them safer for visual stability. +[Non-composited animations](https://developer.chrome.com/docs/lighthouse/performance/non-composited-animations) contribute to layout shift because they modify layout-affecting properties, triggering reflows that move surrounding content after rendering has begun. Animations using composited properties like `transform` and `opacity` avoid this by updating visual appearance without changing layout, making them safer for visual stability. {{ figure_markup( caption="The percent of mobile pages that have non-composited animations.", - content="40.19%", + content="40%", classes="big-number", sheets_gid="1135625211", sql_file="cls_animations.sql" )}} -Non-composited animations remain common, appearing on 40.19% of mobile pages and 43.59% of desktop pages. Their impact emerges primarily at higher percentiles, with usage increasing at the 75th percentile and rising sharply at the 90th percentile to 13 animations on desktop and 11 on mobile, as shown in the chart below. +Non-composited animations remain common, appearing on 40% of mobile pages and 44% of desktop pages. {{ figure_markup( image="non-composite-animations-per-page.png", - caption="Adoption of resource hints for font resources.", + caption="Non-composited animations per page.", description='Bar chart showing the number of non-composited animations per page by percentile for desktop and mobile in 2025. Both desktop and mobile report zero non-composited animations through the 50th percentile. At the 75th percentile, pages have 3 animations on desktop and 2 on mobile, increasing sharply at the 90th percentile to 13 on desktop and 11 on mobile.', -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1922146788&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1922146788&format=interactive", sheets_gid="1135625211", sql_file="cls_animations.sql" ) }} -### Visual Stability Conclusion +Non-composited animations impact emerges primarily at higher percentiles, with usage increasing at the 75th percentile and rising sharply at the 90th percentile to 13 animations on desktop and 11 on mobile, as shown in the chart below. + +### Visual stability conclusion -Visual stability across the web has advanced significantly over the years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. However, with around 20-30% of pages still not achieving Good CLS, especially on desktop, there remains room for continued refinement and optimization. +Visual stability across the web has advanced significantly over the years, particularly on mobile devices. Most pages now deliver stable experiences with minimal unexpected movement, reflecting improved adoption of best practices. However, with around 20-30% of pages still not achieving "good" CLS, especially on desktop, there remains room for continued refinement and optimization. Despite gradual improvements, unsized images remain common and font-loading patterns still create opportunities for layout shifts, suggesting many sites haven't fully implemented known CLS mitigations. Adopting simple [best practices](https://web.dev/articles/optimize-cls) like explicit image sizing, preloading critical fonts, and using composited animations, pages can help improve visual stability. ## Early Hints -### Overview - [Early Hints](https://developer.mozilla.org/docs/Web/HTTP/Reference/Status/103) provide an early signal to the browser about the resources it will need to load for the requested page. Early Hints are sent from the server to the browser while the requested page is still being prepared. In this way, browsers can start taking action to optimistically preconnect to other domains or preload an asset before the requested page has been returned to it. This allows Early Hints to have an absolute impact on the loading performance of the currently requested pages. Consider if, rather than having to wait for the HTML to return to the browser, and the parser to find the link (or even preload link) for the main CSS file and/or LCP asset, it could begin fetching those assets before the HTML was even returned to the browser. This could allow for an FCP that is nearly perfectly rendered, in a single paint. -Since Early Hints can also contain crossorigin attribute and CSP header information, it is recommended that they only be used over HTTP/2 or higher for for security reasons. +Since Early Hints can also contain `crossorigin` attribute and CSP header information, it is recommended that they only be used over HTTP/2 or higher for for security reasons. -### Usage - -In the chart below, which shows the percentage of pages that use early Hints, we see adoption has not exactly taken off: usage is quite low in all groups, barely breaking 6% on desktop in the top 1,000,000 sites; most other groups are well below 5%. +### Early Hints usage {{ figure_markup( image="early-hints-usage.png", - caption="Early Hints usage by website rank and device (2025)", + caption="Early Hints usage.", description="The chart shows the percentage of pages using Early Hints by website rank on desktop and mobile in 2025. Usage is quite low in all groups, only breaking 6% of desktop pages in the top 1 million group. All other groups are mostly below 5%.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1274076138&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=1274076138&format=interactive", sheets_gid="1150834797", sql_file="early_hints_usage_rank.sql" ) }} +We see adoption has not exactly taken off: usage is quite low in all groups, barely breaking 6% on desktop in the top 1,000,000 sites; most other groups are well below 5%. + This is likely related to the complexities of setting up and configuring Early Hints: the assets for any given page must be related to the server before the page is complete and ready for sending; for most CMSs this would be a challenge. The mobile/desktop parity is also quite noticeable; never more than a 1% difference, and typically closer to 0.5%. Meaning, where Early Hints are implemented, they are likely done so similarly for all device types. @@ -586,41 +595,39 @@ While usage remains low in 2025, there has been a noticeable increase over the p {{ figure_markup( image="early-hints-usage-by-year.png", - caption="Early Hints usage by year (2023, 2024, 2025) and device (mobile, desktop)", + caption="Early Hints usage by year.", description="The chart shows the percentage of pages using Early Hints by year on desktop and mobile in 2023, 2024 and 2025. Usage is quite low in all groups for all years, but there is a consistent increase across the years, from just over 1% to roughly 4%.", -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=888096185&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=888096185&format=interactive", sheets_gid="1512001974", sql_file="early_hints_usage_trends.sql" ) }} -### Support +### Early Hints support -Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, "Preconnect" is supported in all browsers, and "Preload" in all except Safari. +Unlike most web performance features, Early Hints relies not only on browsers, but also on servers for support. As of this publication, `preconnect` is supported in all browsers, and `preload` in all except Safari. -With regards to servers, Early Hints are fully supported for H2O and NGINX, and for Apache if you are using mod_http2, and for Node as of 18.11. +With regards to servers, Early Hints are fully supported for Node, H2O and NGINX, and for Apache if you are using `mod_http2`. -Also note that Early Hints are available via [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), Cloudflare since 2021, and Akamai since 2023. +Early Hints are available via CDNs including [Fastly since 2020](https://www.fastly.com/blog/beyond-server-push-experimenting-with-the-103-early-hints-status-code), Cloudflare since 2021, and Akamai since 2023. ## Speculation Rules -### Overview - -[Speculation Rules](https://developer.mozilla.org/docs/Web/API/Speculation_Rules_API) are an experimental browser API (currently implemented primarily in Chromium-based browsers) for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. +[Speculation Rules](https://developer.mozilla.org/docs/Web/API/Speculation_Rules_API) are an experimental browser API for optimistically prefetching or prerendering complete pages, with the hope that the user will navigate to one of the pages after viewing the current page. These actions happen in the background of the page the user is currently viewing. It currently implemented primarily in Chromium-based browsers, though Safari has a partial implementation for prefetch behind a flag. -While Speculation Rules do not help the current page's performance, they can greatly improve the loading performance for those pages that have been optimistically prefetched or preprendered, often to the point of almost an instantaneous page load. +While Speculation Rules do not help the current page's performance, they can greatly improve the loading performance of subsequent pages, often to the point of almost an instantaneous page load. -The intent is for this API to replace and with more advanced configuration options. Again, the Speculation Rules API is for full pages only; for individual assets, you would still need to use . +The intent is for this API to replace `` for pages and `` with more advanced configuration options. Again, the Speculation Rules API is for full pages only; for individual assets, you would still need to use ``. -### Usage +### Speculation Rules usage In the chart below, which shows the percentage of home pages that contain Speculation Rules, we see something interesting: Speculation Rules usage on the top 1,000 sites is quite low, only 3% on desktop and 5% on mobile. And while usage climbs for each subsequent group, it only reaches 15%, mobile and desktop, for the top 1,000,000 sites. It is not until the final group, the top 10,000,000, that we see the percentage jump sharply up, to 24% desktop and 25% mobile: {{ figure_markup( image="speculation-rules-usage.png", - caption="Speculation Rules usage by website rank and device (2025)", + caption="Speculation Rules usage.", description='The chart shows the percentage of home pages that contain Speculation Rules by website rank on desktop and mobile in 2025. Among the top 1,000 websites, Speculation Rules appear on 3% of desktop pages and 5% of mobile pages, with usage increasing slowly as rank decreases. For all websites, Speculation Rules are present on 24% of desktop pages and 35% of mobile pages, with desktop and mobile usage nearly equal at every rank.', -chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=826167809&format=interactive", + chart_url="https://docs.google.com/spreadsheets/d/e/2PACX-1vSdGtVc2AYakM2cNaGLtpVgQwXfG7jOrGQymbbJo20qaMXn1Pd1cyV_tU9PROEuwFbhFBeI3GHCNhvN/pubchart?oid=826167809&format=interactive", sheets_gid="1244034811", sql_file="speculation_rules_rank.sql" ) @@ -638,7 +645,7 @@ Our analysis of this year's data paints a picture of a web that is becoming more However, we also observe a "performance divide" in how different segments of the web adopt new standards. For example, we saw that the most popular sites lead the way in improving interactivity (INP), likely through manual optimization of complex JavaScript. In contrast, newer standards like Speculation Rules are seeing their highest adoption not at the top, but in the "long tail" of the web, driven by platform-level integrations in popular CMSs like WordPress. This suggests that the future of performance may rely less on individual manual effort and more on smart defaults baked into the tools that build the web. -Despite these advancements, the "basics" of web performance still pose a challenge. While advanced metrics improve, fundamental issues still persist: nearly 40% of mobile pages still use non-composite animations that risk visual instability, and the majority of pages still lack the correct sizing for images or the resource hints needed to load critical fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler best practices that ensure good web performance. +Despite these advancements, the basics of web performance still pose a challenge. While advanced metrics improve, fundamental issues still persist: nearly 40% of mobile pages still use non-composite animations that risk visual instability, and the majority of pages still lack the correct sizing for images or the resource hints needed to load critical fonts smoothly. This suggests that while frameworks are helping us manage complex JavaScript, we often miss the simpler best practices that ensure good web performance. Finally, the landscape of measurement itself is maturing. As more browsers extend support for modern metrics like INP, cross-browser comparisons can become more consistent. As we look ahead, the goal for developers is to look past the top-level scores and bridge the gap between potential and practice, leveraging both the manual optimizations used by top sites and the automated tools of the modern web to deliver reliable experiences for every user. From 2a2ea0ec8e48527c8593401413b4c3cb7f25677d Mon Sep 17 00:00:00 2001 From: Barry Pollard Date: Fri, 16 Jan 2026 00:03:00 +0000 Subject: [PATCH 87/88] Add images --- .../cross-origin-lcp-images-2025.png | Bin 0 -> 19693 bytes .../2025/performance/good-cls-by-month.png | Bin 0 -> 20506 bytes .../performance/speculation-rules-usage.png | Bin 21100 -> 21174 bytes .../performance/unsized-images-by-height.png | Bin 0 -> 19426 bytes 4 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/static/images/2025/performance/cross-origin-lcp-images-2025.png create mode 100644 src/static/images/2025/performance/good-cls-by-month.png create mode 100644 src/static/images/2025/performance/unsized-images-by-height.png diff --git a/src/static/images/2025/performance/cross-origin-lcp-images-2025.png b/src/static/images/2025/performance/cross-origin-lcp-images-2025.png new file mode 100644 index 0000000000000000000000000000000000000000..678e5386bb749557d89887912cd14d520a0d711d GIT binary 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src/content/en/2025/performance.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/content/en/2025/performance.md b/src/content/en/2025/performance.md index db731af1a6f..f4a2d7e83df 100644 --- a/src/content/en/2025/performance.md +++ b/src/content/en/2025/performance.md @@ -16,8 +16,8 @@ results: https://docs.google.com/spreadsheets/d/1KJQznDT9tL2IYCbYIcWas2k9OG1rK4p featured_quote: Performance gains are real, but uneven as top sites lead on interactivity, while long-tail adoption of new features is increasingly driven by CMS defaults. featured_stat_1: 97% featured_stat_label_1: Websites with good INP on desktop (≤200 ms) -featured_stat_2: 86.6% -featured_stat_label_2: Mobile pages using at least one web font, likely causing layout shifts. +featured_stat_2: 87% +featured_stat_label_2: Mobile pages using at least one web font. featured_stat_3: 28% featured_stat_label_3: Top 1,000 desktop pages using unload handlers, down from 35% in 2024. doi: 10.5281/zenodo.18258743