Daily HHS Accessibility Report — 2026-04-07
Run ID: run-2026-04-07-0abd851aee · Status: partial · Source data: 2026-04-05 · Generated: 2026-04-07T09:42:20.142Z
About These Reports
U.S. federal government website traffic data is publicly available at analytics.usa.gov, powered by the Digital Analytics Program (DAP) — a shared analytics service that tracks traffic across hundreds of participating federal agencies and publishes the data openly. This report focuses on the U.S. Department of Health and Human Services (HHS) and its sub-agencies, using HHS-specific traffic data from analytics.usa.gov/health-human-services.
This report measures the quality and accessibility of the top 100 most-visited HHS URLs as reported by analytics.usa.gov. Each day, Lighthouse scans are run against these URLs to measure:
- Performance - How fast pages load for users (scores 0-100, higher is better)
- Accessibility - How well pages work for users with disabilities, following WCAG guidelines (scores 0-100, higher is better)
- Best Practices - Whether pages follow modern web development standards (scores 0-100, higher is better)
- SEO - How well pages are optimized for search engines (scores 0-100, higher is better)
Accessibility findings come from axe-core, the industry-standard accessibility testing engine embedded in Lighthouse. The axe findings surface specific WCAG violations such as missing alternative text, insufficient color contrast, and missing form labels that make government websites harder to use for people with disabilities.
Traffic data reflects daily visitor counts from analytics.usa.gov for HHS properties. URLs are ranked by page load count, ensuring the most-used HHS pages are prioritized for quality measurement.
Accessibility Trend Narrative
Over the past 3 days of data (2026-04-03 to 2026-04-06), government website accessibility scores have improved (+5.25 points, from 87.31 to 92.56). Performance scores have declined (-9.2 points, from 62 to 52.8).
Today's aggregate accessibility score of 92.92 reflects the mean Lighthouse accessibility score across 117 successfully scanned government URLs. A score above 90 indicates generally strong compliance with WCAG automated checks, though manual testing is always recommended to fully assess accessibility.
Comparison with 3-Day Average
| Metric | 2026-04-07 | 3-day avg | Change |
|---|---|---|---|
| Performance | 53.22 | 56.87 | -3.65 |
| Accessibility | 92.92 | 90.54 | +2.38 |
| Best Practices | 91.42 | 90.3 | +1.12 |
| SEO | 89.72 | 88.72 | +1 |
See the full score trend in the History section below.
Common Accessibility Issues (Top 10)
The following axe-core rules were most frequently violated across scanned URLs today. These patterns indicate systemic accessibility barriers present across multiple government websites.
Total axe findings today: 214 across 126 scanned URLs.
| Rule ID | Description | URLs affected | Disabilities Affected (hover/focus icons for estimated impact) |
|---|---|---|---|
target-size | Touch targets do not have sufficient size or spacing. | 34Affected sites: ncbi.nlm.nih.gov, medlineplus.gov, openi.nlm.nih.gov, acf.gov, blast.ncbi.nlm.nih.gov, dailymed.nlm.nih.gov, wonder.cdc.gov, archive.cdc.gov, www.ncbi.nlm.nih.gov, npin.cdc.gov, lhncbc.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, nhlbi.nih.gov, datadashboard.fda.gov, catalog.nlm.nih.gov, jats.nlm.nih.gov, reach.cdc.gov, mor.nlm.nih.gov, nccih.nih.gov, learn.nlm.nih.gov, hivrisk.cdc.gov, animaldrugsatfda.fda.gov, nichd.nih.gov, ncsacw.acf.gov, cde.nlm.nih.gov, labels.fda.gov, niaaa.nih.gov, places.cdc.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, reporter.nih.gov, medicineonscreen.nlm.nih.gov, preview.ncbi.nlm.nih.gov, cdrh-rst.fda.gov | People with limited hand, finger, or fine motor dexterity. Estimated ~88,070 people potentially excluded (2.2% prevalence × 4,003,170 affected page loads) People with limited reach, strength, or stamina. Estimated ~232,184 people potentially excluded (5.8% prevalence × 4,003,170 affected page loads) |
landmark-one-main | Document does not have a main landmark. | 31Affected sites: ncbi.nlm.nih.gov, medlineplus.gov, openi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, dailymed.nlm.nih.gov, support.nlm.nih.gov, id.nlm.nih.gov, direct.fda.gov, meshb.nlm.nih.gov, www.ncbi.nlm.nih.gov, lhncbc.nlm.nih.gov, register.clinicaltrials.gov, trace.ncbi.nlm.nih.gov, phgkb.cdc.gov, jats.nlm.nih.gov, nimh.nih.gov, meshb-prev.nlm.nih.gov, mor.nlm.nih.gov, cfmedicine.awsprod.nlm.nih.gov, findingaids.nlm.nih.gov, hivrisk.cdc.gov, animaldrugsatfda.fda.gov, ncsacw.acf.gov, labels.fda.gov, nfr.cdc.gov, art.cdc.gov, imagic.nlm.nih.gov, rarediseases.info.nih.gov, clinicaltables.nlm.nih.gov, reporter.nih.gov, preview.ncbi.nlm.nih.gov | People who are blind or have no functional vision. Estimated ~39,719 people potentially excluded (1.0% prevalence × 3,971,903 affected page loads) People who are deaf and cannot hear audio content. Estimated ~11,916 people potentially excluded (0.3% prevalence × 3,971,903 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~87,382 people potentially excluded (2.2% prevalence × 3,971,903 affected page loads) |
color-contrast | Background and foreground colors do not have a sufficient contrast ratio. | 26Affected sites: ncbi.nlm.nih.gov, clinicaltrials.gov, openi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, dailymed.nlm.nih.gov, support.nlm.nih.gov, id.nlm.nih.gov, direct.fda.gov, meshb.nlm.nih.gov, www.ncbi.nlm.nih.gov, lhncbc.nlm.nih.gov, trace.ncbi.nlm.nih.gov, phgkb.cdc.gov, jats.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, meshb-prev.nlm.nih.gov, cfmedicine.awsprod.nlm.nih.gov, datasetcatalog.nlm.nih.gov, nccih.nih.gov, learn.nlm.nih.gov, hivrisk.cdc.gov, datadiscovery.nlm.nih.gov, reporter.nih.gov, medicineonscreen.nlm.nih.gov, preview.ncbi.nlm.nih.gov, www.clinicaltrials.gov | People with low vision who need magnification or high contrast. Estimated ~91,420 people potentially excluded (2.4% prevalence × 3,809,161 affected page loads) People who cannot distinguish certain colors (color blindness). Estimated ~163,794 people potentially excluded (4.3% prevalence × 3,809,161 affected page loads) |
heading-order | Heading elements are not in a sequentially-descending order | 22Affected sites: fda.gov, fdanj.nlm.nih.gov, support.nlm.nih.gov, id.nlm.nih.gov, magazine.medlineplus.gov, lhncbc.nlm.nih.gov, collections.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, tools.cdc.gov, datadashboard.fda.gov, phgkb.cdc.gov, thecommunityguide.org, nimh.nih.gov, mor.nlm.nih.gov, nida.nih.gov, datasetcatalog.nlm.nih.gov, niaaa.nih.gov, nlmdirector.nlm.nih.gov, rarediseases.info.nih.gov, datadiscovery.nlm.nih.gov, grants.nih.gov, cdrh-rst.fda.gov | People who are blind or have no functional vision. Estimated ~2,521 people potentially excluded (1.0% prevalence × 252,130 affected page loads) People who are deaf and cannot hear audio content. Estimated ~756 people potentially excluded (0.3% prevalence × 252,130 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~5,547 people potentially excluded (2.2% prevalence × 252,130 affected page loads) |
link-name | Links do not have a discernible name | 16Affected sites: cdc.gov, openi.nlm.nih.gov, purplebooksearch.fda.gov, wwwnc.cdc.gov, search.cdc.gov, magazine.medlineplus.gov, precision.fda.gov, phgkb.cdc.gov, profiles.nlm.nih.gov, datasetcatalog.nlm.nih.gov, nccih.nih.gov, hivrisk.cdc.gov, labels.fda.gov, nlmdirector.nlm.nih.gov, reporter.nih.gov, medicineonscreen.nlm.nih.gov | People who are blind or have no functional vision. Estimated ~6,092 people potentially excluded (1.0% prevalence × 609,234 affected page loads) People who are deaf and cannot hear audio content. Estimated ~1,828 people potentially excluded (0.3% prevalence × 609,234 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~13,403 people potentially excluded (2.2% prevalence × 609,234 affected page loads) |
link-in-text-block | Links rely on color to be distinguishable. | 12Affected sites: nih.gov, fdanj.nlm.nih.gov, id.nlm.nih.gov, tools.cdc.gov, phgkb.cdc.gov, catalog.nlm.nih.gov, nimh.nih.gov, millionhearts.hhs.gov, datadiscovery.nlm.nih.gov, docline.gov, clinicaltables.nlm.nih.gov, cdrh-rst.fda.gov | People with low vision who need magnification or high contrast. Estimated ~2,309 people potentially excluded (2.4% prevalence × 96,212 affected page loads) People who cannot distinguish certain colors (color blindness). Estimated ~4,137 people potentially excluded (4.3% prevalence × 96,212 affected page loads) |
label-content-name-mismatch | Elements with visible text labels do not have matching accessible names. | 10Affected sites: clinicaltrials.gov, atsdr.cdc.gov, npin.cdc.gov, ncsacw.acf.gov, niaaa.nih.gov, nlmdirector.nlm.nih.gov, youthonline.cdc.gov, rarediseases.info.nih.gov, www.clinicaltrials.gov, nidcr.nih.gov | People who are blind or have no functional vision. Estimated ~2,770 people potentially excluded (1.0% prevalence × 276,978 affected page loads) People with low vision who need magnification or high contrast. Estimated ~6,647 people potentially excluded (2.4% prevalence × 276,978 affected page loads) People who are deaf and cannot hear audio content. Estimated ~831 people potentially excluded (0.3% prevalence × 276,978 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~6,094 people potentially excluded (2.2% prevalence × 276,978 affected page loads) |
button-name | Buttons do not have an accessible name | 9Affected sites: cms.gov, support.nlm.nih.gov, wonder.cdc.gov, precision.fda.gov, circulatingnow.nlm.nih.gov, mor.nlm.nih.gov, hivrisk.cdc.gov, reporter.nih.gov, medicineonscreen.nlm.nih.gov | People who are blind or have no functional vision. Estimated ~1,360 people potentially excluded (1.0% prevalence × 135,973 affected page loads) People who are deaf and cannot hear audio content. Estimated ~408 people potentially excluded (0.3% prevalence × 135,973 affected page loads) |
tabindex | Some elements have a `[tabindex]` value greater than 0 | 8Affected sites: cdc.gov, fda.gov, wwwnc.cdc.gov, search.cdc.gov, magazine.medlineplus.gov, direct.fda.gov, hivrisk.cdc.gov, labels.fda.gov | People who are blind or have no functional vision. Estimated ~7,278 people potentially excluded (1.0% prevalence × 727,841 affected page loads) People who are deaf and cannot hear audio content. Estimated ~2,184 people potentially excluded (0.3% prevalence × 727,841 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~16,013 people potentially excluded (2.2% prevalence × 727,841 affected page loads) |
skip-link | Skip links are not focusable. | 7Affected sites: cdc.gov, blast.ncbi.nlm.nih.gov, wwwnc.cdc.gov, search.cdc.gov, wisqars.cdc.gov, art.cdc.gov, classification.nlm.nih.gov | People who are blind or have no functional vision. Estimated ~5,535 people potentially excluded (1.0% prevalence × 553,518 affected page loads) People who are deaf and cannot hear audio content. Estimated ~1,661 people potentially excluded (0.3% prevalence × 553,518 affected page loads) People with limited hand, finger, or fine motor dexterity. Estimated ~12,177 people potentially excluded (2.2% prevalence × 553,518 affected page loads) |
Human impact narratives for top issues
The following narratives describe the real-world impact of each accessibility barrier on people with disabilities. These barriers are not abstract technical failures; they prevent citizens from independently accessing government services.
target-size: Digital Motor Access
Small touch targets act as a digital gatekeeper, excluding individuals with tremors, arthritis, or limited dexterity from accessing essential services independently. These technical failures transform a routine interaction into a source of failure, stripping away the autonomy of citizens who require a frictionless, accessible interface to participate in digital life. The approximately 58 million Americans with ambulatory or self-care disabilities are disproportionately impacted by inadequate touch target sizing on government mobile websites.
Affected groups:
- People with Parkinson's disease, arthritis, or hand tremors
- Older adults with reduced fine motor control
- People with motor disabilities using alternative pointing devices
- People in situational impairment contexts (e.g., commuting, holding a child)
landmark-one-main: Primary Content Identification
Without a main landmark, screen reader users lose their most efficient way to skip to the primary content of a government page. Every page visit requires tabbing through the entire navigation structure to reach the actual content, a significant time and effort burden that accumulates across repeated visits to government websites for citizens managing ongoing benefit cases or legal matters.
Affected groups:
- People who are blind using screen readers
- People who are deaf and rely on visual-to-text tools
- People with motor disabilities using keyboard navigation
color-contrast: Visual Information Access
Low contrast text is one of the most pervasive barriers on government websites, rendering critical information invisible to the approximately 26 million Americans with low vision or color blindness. When agency announcements, form instructions, error messages, or legal notices are displayed in insufficient contrast, affected citizens are denied equal access to the information they need to exercise their rights and access public services.
Affected groups:
- People with low vision including age-related vision loss
- People who are color blind (approximately 8% of men, 0.5% of women)
heading-order: Document Structure Navigation
Screen reader users navigate complex government websites primarily through heading structure, using headings as a table of contents to jump between sections. Skipped heading levels break the logical document outline, causing confusion about the hierarchy of information and forcing users to re-read sections to understand the relationship between topics, adding significant time and effort to information-gathering tasks.
Affected groups:
- People who are blind using screen readers
- People who are deaf and rely on visual-to-text tools
- People with motor disabilities using keyboard navigation
link-name: Link Purpose Clarity
Links without accessible names are completely useless to screen reader users who navigate government pages by jumping between links. An unnamed link could lead anywhere, and activating it unknowingly could trigger downloads, open unexpected pages, or initiate unintended processes. On government websites, unnamed links undermine the informed consent principle by preventing citizens from knowing where a link will take them.
Affected groups:
- People who are blind using screen readers
- People who are deaf and rely on visual-to-text tools
- People with motor disabilities using keyboard navigation
link-in-text-block: Color-Independent Link Identification
When links are distinguished only by color, people with color vision deficiency cannot identify them as links and may miss critical references to additional information, forms, or resources. On government websites, overlooked links in informational content can mean missing essential instructions, deadlines, or procedures that affect a citizen's ability to access services or comply with requirements.
Affected groups:
- People with low vision who may not perceive color differences
- People who are color blind (approximately 8% of men, 0.5% of women)
label-content-name-mismatch: Voice Control Activation
When the accessible name of an element does not match its visible text, voice control users cannot activate it using the words they see on screen. Saying "click Submit" to a button whose visual label is "Submit" but whose accessible name is "submitbtn" results in no action. This mismatch silently breaks voice control for citizens with motor disabilities who depend on this input method to interact with government websites.
Affected groups:
- People who are blind using screen readers
- People with low vision relying on screen magnifiers
- People who are deaf using keyboard navigation
- People with motor disabilities using voice control software
button-name: Button Discoverability
Unlabeled buttons are silent black holes in the government digital experience. When a screen reader announces a button with no name, blind users cannot know what action it will perform. Submit, cancel, search, and navigation buttons without accessible names prevent citizens from completing applications, accessing benefits, or finding essential government resources independently.
Affected groups:
- People who are blind using screen readers
- People who are deaf and rely on visual-to-text tools
tabindex: Focus Order Predictability
Positive tabindex values create unpredictable focus sequences that jump around the page in ways that differ from the visual reading order. For keyboard users and screen reader users on government websites, an erratic tab order makes it difficult to reliably navigate forms and interactive content, increasing errors and the time needed to complete tasks, and creating particular frustration for users with cognitive disabilities who need a predictable, logical interaction flow.
Affected groups:
- People who are blind using screen readers
- People who are deaf using keyboard-only navigation
- People with motor disabilities using keyboard or switch access
skip-link: Skip Link Functional Effectiveness
A skip link that points to a non-existent or non-focusable target provides no actual benefit and may confuse keyboard users who activate it and experience no apparent result. For screen reader and keyboard users on government websites with extensive navigation, a broken skip link means they must navigate through the entire repeated header every time, negating the accessibility feature entirely and creating a cruel illusion of accessibility that does not function.
Affected groups:
- People who are blind using screen readers
- People who are deaf using keyboard-only navigation
- People with motor disabilities using keyboard navigation
Disability icon key
- Without Vision — People who are blind or have no functional vision (1.0% of U.S. population — ~3,400,000 Americans)
- Limited Vision — People with low vision who need magnification or high contrast (2.4% of U.S. population — ~8,100,000 Americans)
- Without Perception of Color — People who cannot distinguish certain colors (color blindness) (4.3% of U.S. population — ~14,500,000 Americans)
- Without Hearing — People who are deaf and cannot hear audio content (0.3% of U.S. population — ~1,100,000 Americans)
- Limited Hearing — People with hearing loss who may struggle with audio without accommodations (3.5% of U.S. population — ~11,900,000 Americans)
- Without Speech — People who cannot use speech or voice-based input effectively (0.5% of U.S. population — ~1,700,000 Americans)
- Limited Manipulation — People with limited hand, finger, or fine motor dexterity (2.2% of U.S. population — ~7,600,000 Americans)
- Limited Reach and Strength — People with limited reach, strength, or stamina (5.8% of U.S. population — ~19,600,000 Americans)
- Limited Language, Cognitive, and Learning Abilities — People with cognitive, learning, or language differences (4.7% of U.S. population — ~15,900,000 Americans)
These icons show which groups of people with disabilities are excluded by each accessibility barrier. Where page view data is available, each icon shows an estimated number of people potentially excluded (page loads for affected URLs × disability prevalence rate from U.S. Census ACS 2023). Hover over or focus an icon to see the full estimate and methodology. Icons follow the Section 508 Functional Performance Criteria and the equivalent EU EN 301 549 v3.2.1 Table B.2 categories.
Prevalence data: U.S. Census Bureau, American Community Survey (ACS) 2023 1-Year Estimates, Table B18101; supplemental data from CDC, NIDCD, AFB, and NIH/NEI. U.S. population base: ~336,500,000 (2023 estimate). Reviewed annually.
See the Section 508 WCAG to FPC mapping for additional detail on how accessibility requirements map to functional needs.
Download full axe findings JSON for this day | Download full axe findings CSV for this day
Usability Heuristics Summary
The most common accessibility violations map to Nielsen Norman Group's 10 usability heuristics. This table shows which heuristics are most affected by today's top axe-core violations, helping to identify where systemic usability barriers exist.
| # | Heuristic | Issue patterns | URL violations | Related axe rules |
|---|---|---|---|---|
| 6 | Recognition rather than recall | 4 | 95 | landmark-one-main, color-contrast, heading-order, link-name |
| 4 | Consistency and standards | 4 | 79 | landmark-one-main, heading-order, link-name, label-content-name-mismatch |
| 1 | Visibility of system status | 3 | 69 | landmark-one-main, color-contrast, link-in-text-block |
| 8 | Aesthetic and minimalist design | 3 | 69 | landmark-one-main, color-contrast, link-in-text-block |
| 9 | Help users recognize, diagnose, and recover from errors | 3 | 69 | landmark-one-main, color-contrast, link-in-text-block |
| 10 | Help and documentation | 3 | 69 | landmark-one-main, color-contrast, link-in-text-block |
| 7 | Flexibility and efficiency of use | 4 | 55 | heading-order, link-name, label-content-name-mismatch, skip-link |
| 5 | Error prevention | 2 | 43 | landmark-one-main, link-in-text-block |
Heuristics with no violations today
| # | Heuristic | Issue patterns | URL violations | Related axe rules |
|---|---|---|---|---|
| 2 | Match between system and the real world | 0 | 0 | — |
| 3 | User control and freedom | 0 | 0 | — |
Aggregate Scores
Performance
53.22
Accessibility
92.92
Best Practices
91.42
SEO
89.72
- Processed: 126
- Succeeded: 117
- Failed: 9
- Excluded: 0
Americans Excluded by Disability Today
Based on 12,074,733 page loads across successfully scanned government URLs and U.S. disability prevalence rates from the U.S. Census Bureau, American Community Survey (ACS) 2023 1-Year Estimates, Table B18101 (2023), an estimated 670,000 Americans encountered an accessibility barrier on a government website today.
Each row shows the number of people in a disability group who visited a page with at least one accessibility issue that affects their group. Prevalence rates and U.S. population estimates are derived from the American Community Survey (ACS) and supplemental sources. These figures are rough estimates intended to illustrate the scale of accessibility barriers.
| Icon | Disability Group (Section 508 FPC) | U.S. Prevalence | U.S. Population Affected | Page Loads with Barriers | Est. Americans Excluded Today |
|---|---|---|---|---|---|
| Limited Reach and Strength | 5.8% | ~19,600,000 | 4,000,000 | 230,000 | |
| Without Perception of Color | 4.3% | ~14,500,000 | 3,890,000 | 160,000 | |
| Limited Manipulation | 2.2% | ~7,600,000 | 5,190,000 | 110,000 | |
| Limited Vision | 2.4% | ~8,100,000 | 3,910,000 | 93,840 | |
| Without Vision | 1.0% | ~3,400,000 | 5,130,000 | 51,399 | |
| Without Hearing | 0.3% | ~1,100,000 | 5,130,000 | 15,420 | |
| Limited Language, Cognitive, and Learning Abilities | 4.7% | ~15,900,000 | 2,403 | 113 |
Sources: U.S. Census Bureau, American Community Survey (ACS) 2023 1-Year Estimates, Table B18101; disability prevalence from ACS 2023 and supplemental CDC/NIDCD/NIH data. Reviewed annually.
Performance Impact on Americans
Google defines a good Largest Contentful Paint (LCP) as under 2.5 seconds and recommends pages under 1.6 MB. The figures below estimate how much extra time Americans spend waiting, and how much extra data is transferred, because government websites fall short of these benchmarks. Calculations are based on 106 successfully scanned URLs with Lighthouse timing data.
| Metric | Estimated total (April 7, 2026) | Notes |
|---|---|---|
| Extra time waiting (vs 2.5s LCP benchmark) | 1 year, 4 daysExtra time is calculated as: for each scanned URL, max(0, actual LCP − 2.5s) × page loads. Total: 31,962,798 seconds. | 31,962,798 seconds |
| Extra data transferred (vs 1.6 MB page weight benchmark) | ~4 TB (168 copies of Wikipedia)Extra data is calculated as: for each scanned URL, max(0, actual page weight − 1.6 MB) × page loads. | Across 106 URLs with weight data |
LCP and page weight are measured by Lighthouse. Wikipedia copy count uses a size of 24.05 GB per Wikipedia:Size of Wikipedia. These are rough estimates based on a sample of the top government URLs by traffic. Hover or focus the estimated totals for calculation details.
Content Density (Words per Megabyte)
Words-per-Megabyte (WpM) measures how efficiently a page delivers readable content relative to its total download size. A low ratio indicates Digital Bloat—the page transfers far more data than the text it contains. Pages below 200 WpM are flagged for optimization review.
- URLs with content metrics: 79
- Average word count: 894
- Average Words/MB: 792
- URLs below 200 WpM threshold: 58
| URL | Word Count | Words/MB |
|---|---|---|
| https://pmc.ncbi.nlm.nih.gov | 159 | 147 |
| https://ncbi.nlm.nih.gov | 308 | 338 |
| https://pubmed.ncbi.nlm.nih.gov | 420 | 504 |
| https://cdc.gov | 242 | 77 |
| https://medlineplus.gov | 81 | 64 |
| https://clinicaltrials.gov | 22 | 15 |
| https://cms.gov | 176 | 91 |
| https://nih.gov | 250 | 141 |
| https://acf.gov | 246 | 84 |
| https://blast.ncbi.nlm.nih.gov | 77 | 36 |
Word counts are extracted from the page’s main article content using Mozilla Readability, which strips navigation, sidebars, and ads. Page weight is the total resource size measured by Lighthouse. Pages below 200 WpM may impose unnecessary data costs on users on metered connections.
History
Download full Lighthouse history CSV · For the average comparison, see the Comparison with Average section above.
| Date | Performance | Accessibility | Best Practices | SEO |
|---|---|---|---|---|
| 2026-04-06 | 52.8 | 92.56 | 90.72 | 89.27 |
| 2026-04-04 | 55.82 | 91.74 | 91.19 | 88.43 |
| 2026-04-03 | 62 | 87.31 | 89 | 88.45 |
Top URLs by Traffic (Scanned)
Showing up to 100 highest-traffic HHS URLs from the latest available analytics.usa.gov data in this run.
Note: CWV = Core Web Vitals (measures page loading performance including Largest Contentful Paint, Cumulative Layout Shift, and Interaction to Next Paint). Lighthouse scores are 0–100 (higher is better). The Accessibility / Important column shows the Lighthouse accessibility score; if Critical or Serious axe findings exist the count appears after the slash (e.g. 94 / 2). Click Details (N) to view WCAG accessibility findings for each URL.
Download axe findings JSON for this day | Download axe findings CSV for this day
| Lighthouse accessibility score (0–100). If any Critical or Serious axe findings exist, the count is shown after the slash (e.g. 94 / 2). | Axe details | Technologies | ||||||
|---|---|---|---|---|---|---|---|---|
| https://pmc.ncbi.nlm.nih.govDepartment of Health and Human Services | 3464387 | needs improvement | 77 / 148 daysTotal time users spent waiting for this page to load: 3.7s LCP × 3,464,387 page loads. | 100 | 96 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://ncbi.nlm.nih.govDepartment of Health and Human Services | 3374557 | needs improvement | 73 / 136 daysTotal time users spent waiting for this page to load: 3.5s LCP × 3,374,557 page loads. | 91 / 2 | 96 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://pubmed.ncbi.nlm.nih.govDepartment of Health and Human Services | 2423775 | needs improvement | 87 / 71 daysTotal time users spent waiting for this page to load: 2.5s LCP × 2,423,775 page loads. | 100 | 100 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://pubchem.ncbi.nlm.nih.govDepartment of Health and Human Services | 641108 | poor | 74 / 32 daysTotal time users spent waiting for this page to load: 4.3s LCP × 641,108 page loads. | 100 | 100 | 100 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://cdc.govDepartment of Health and Human Services | 493115 | poor | 67 / 77 daysTotal time users spent waiting for this page to load: 13.5s LCP × 493,115 page loads. | 91 / 2 | 100 | 85 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://medlineplus.govDepartment of Health and Human Services | 431332 | poor | 66 / 12 daysTotal time users spent waiting for this page to load: 2.3s LCP × 431,332 page loads. | 95 / 1 | 96 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://clinicaltrials.govDepartment of Health and Human Services | 270983 | poor | 48 / 28 daysTotal time users spent waiting for this page to load: 9.1s LCP × 270,983 page loads. | 97 / 2 | 96 | 100 | USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://fda.govDepartment of Health and Human Services | 201952 | poor | 43 / 136 daysTotal time users spent waiting for this page to load: 58.0s LCP × 201,952 page loads. | 95 / 1 | 100 | 100 | 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads | |
| https://cms.govDepartment of Health and Human Services | 115588 | poor | 63 / 12 daysTotal time users spent waiting for this page to load: 8.7s LCP × 115,588 page loads. | 90 / 2 | 73 | 85 | Drupal 3 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, YouTube | |
| https://accessdata.fda.govDepartment of Health and Human Services | 108775 | unknown | 0 | 0 | 0 | 0 | ||
| https://nih.govDepartment of Health and Human Services | 69710 | poor | 62 / 6 daysTotal time users spent waiting for this page to load: 7.4s LCP × 69,710 page loads. | 96 / 1 | 96 | 92 | Drupal USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://hhs.govDepartment of Health and Human Services | 64932 | poor | 35 / 4 daysTotal time users spent waiting for this page to load: 5.7s LCP × 64,932 page loads. | 100 | 96 | 92 | Drupal USWDS 6 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, YouTube, Google Fonts | |
| https://openi.nlm.nih.govDepartment of Health and Human Services | 64071 | poor | 20 / 22 daysTotal time users spent waiting for this page to load: 29.7s LCP × 64,071 page loads. | 55 / 6 | 96 | 67 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://acf.govDepartment of Health and Human Services | 49686 | poor | 36 / 6 daysTotal time users spent waiting for this page to load: 10.4s LCP × 49,686 page loads. | 97 / 1 | 92 | 83 | Drupal 6 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, unpkg CDN, Google Fonts | |
| https://vsearch.nlm.nih.govDepartment of Health and Human Services | 38643 | unknown | 0 | 0 | 0 | 0 | ||
| https://blast.ncbi.nlm.nih.govDepartment of Health and Human Services | 35816 | poor | 37 / 4 daysTotal time users spent waiting for this page to load: 8.8s LCP × 35,816 page loads. | 91 / 2 | 96 | 100 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://dailymed.nlm.nih.govDepartment of Health and Human Services | 26172 | poor | 50 / 3 daysTotal time users spent waiting for this page to load: 8.5s LCP × 26,172 page loads. | 91 / 2 | 85 | 67 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://account.ncbi.nlm.nih.govDepartment of Health and Human Services | 25335 | poor | 69 / 25 hoursTotal time users spent waiting for this page to load: 3.5s LCP × 25,335 page loads. | 100 | 100 | 58 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://purplebooksearch.fda.govDepartment of Health and Human Services | 18589 | poor | 71 / 12 hoursTotal time users spent waiting for this page to load: 2.4s LCP × 18,589 page loads. | 96 / 1 | 92 | 91 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://wwwnc.cdc.govDepartment of Health and Human Services | 17106 | poor | 66 / 3 daysTotal time users spent waiting for this page to load: 14.2s LCP × 17,106 page loads. | 91 / 2 | 100 | 85 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://fdanj.nlm.nih.govDepartment of Health and Human Services | 13448 | poor | 40 / 41 hoursTotal time users spent waiting for this page to load: 10.8s LCP × 13,448 page loads. | 95 / 1 | 100 | 92 | USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://nlm.nih.govDepartment of Health and Human Services | 13302 | poor | 17 / 34 hoursTotal time users spent waiting for this page to load: 9.1s LCP × 13,302 page loads. | 100 | 73 | 83 | WordPress USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://support.nlm.nih.govDepartment of Health and Human Services | 12489 | poor | 17 / 33 hoursTotal time users spent waiting for this page to load: 9.6s LCP × 12,489 page loads. | 88 / 2 | 54 | 91 | 5 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, cdnjs, Google Fonts | |
| https://wwwn.cdc.govDepartment of Health and Human Services | 11318 | unknown | 0 | 0 | 0 | 0 | ||
| https://id.nlm.nih.govDepartment of Health and Human Services | 9317 | poor | 47 / 15 hoursTotal time users spent waiting for this page to load: 5.8s LCP × 9,317 page loads. | 76 / 4 | 100 | 83 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://search.cdc.govDepartment of Health and Human Services | 6931 | poor | 66 / 26 hoursTotal time users spent waiting for this page to load: 13.7s LCP × 6,931 page loads. | 91 / 2 | 96 | 85 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://hfpappexternal.fda.govDepartment of Health and Human Services | 6638 | unknown | 0 | 0 | 0 | 0 | ||
| https://magazine.medlineplus.govDepartment of Health and Human Services | 4976 | poor | 45 / 10 hoursTotal time users spent waiting for this page to load: 6.9s LCP × 4,976 page loads. | 87 / 3 | 69 | 92 | USWDS 7 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, Facebook / Meta Pixel, YouTube, Google Fonts | |
| https://wonder.cdc.govDepartment of Health and Human Services | 4576 | needs improvement | 76 / 3 hoursTotal time users spent waiting for this page to load: 2.7s LCP × 4,576 page loads. | 88 / 3 | 96 | 83 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://direct.fda.govDepartment of Health and Human Services | 3413 | poor | 54 / 11 hoursTotal time users spent waiting for this page to load: 11.9s LCP × 3,413 page loads. | 84 / 3 | 77 | 82 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://atsdr.cdc.govDepartment of Health and Human Services | 3088 | poor | 66 / 12 hoursTotal time users spent waiting for this page to load: 13.5s LCP × 3,088 page loads. | 95 / 2 | 100 | 92 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://gis.cdc.govDepartment of Health and Human Services | 3057 | poor | 62 / 6 hoursTotal time users spent waiting for this page to load: 7.1s LCP × 3,057 page loads. | 95 / 1 | 77 | 92 | USWDS 1 3rd-partyThird-party services: Google Analytics | |
| https://meshb.nlm.nih.govDepartment of Health and Human Services | 3031 | poor | 57 / 8 hoursTotal time users spent waiting for this page to load: 9.0s LCP × 3,031 page loads. | 88 / 2 | 100 | 91 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://archive.cdc.govDepartment of Health and Human Services | 2666 | poor | 58 / 18 hoursTotal time users spent waiting for this page to load: 24.1s LCP × 2,666 page loads. | 96 / 1 | 100 | 100 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://www.ncbi.nlm.nih.govDepartment of Health and Human Services | 2432 | needs improvement | 82 / 2 hoursTotal time users spent waiting for this page to load: 2.2s LCP × 2,432 page loads. | 91 / 2 | 96 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://precision.fda.govDepartment of Health and Human Services | 2289 | poor | 59 / 5 hoursTotal time users spent waiting for this page to load: 8.2s LCP × 2,289 page loads. | 91 / 2 | 92 | 91 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://npin.cdc.govDepartment of Health and Human Services | 2184 | poor | 35 / 7 hoursTotal time users spent waiting for this page to load: 11.9s LCP × 2,184 page loads. | 93 / 3 | 54 | 85 | Drupal USWDS 5 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, jsDelivr CDN, Google Fonts | |
| https://submit.ncbi.nlm.nih.govDepartment of Health and Human Services | 1959 | needs improvement | 82 / 2 hoursTotal time users spent waiting for this page to load: 3.3s LCP × 1,959 page loads. | 100 | 96 | 83 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://lhncbc.nlm.nih.govDepartment of Health and Human Services | 1818 | poor | 48 / 6 hoursTotal time users spent waiting for this page to load: 11.2s LCP × 1,818 page loads. | 83 / 2 | 92 | 92 | USWDS 2.4.0 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://register.clinicaltrials.govDepartment of Health and Human Services | 1798 | needs improvement | 89 / 57 minutesTotal time users spent waiting for this page to load: 1.9s LCP × 1,798 page loads. | 76 / 2 | 92 | 92 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://uts.nlm.nih.govDepartment of Health and Human Services | 1741 | poor | 45 / 5 hoursTotal time users spent waiting for this page to load: 10.8s LCP × 1,741 page loads. | 100 | 96 | 100 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://access.fda.govDepartment of Health and Human Services | 1590 | unknown | 0 | 0 | 0 | 0 | ||
| https://collections.nlm.nih.govDepartment of Health and Human Services | 1545 | poor | 37 / 5 hoursTotal time users spent waiting for this page to load: 11.4s LCP × 1,545 page loads. | 91 / 2 | 100 | 92 | USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://ncbiinsights.ncbi.nlm.nih.govDepartment of Health and Human Services | 1425 | poor | 66 / 5 hoursTotal time users spent waiting for this page to load: 11.5s LCP × 1,425 page loads. | 90 / 2 | 100 | 100 | WordPress 3 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Google Fonts | |
| https://blogs.cdc.govDepartment of Health and Human Services | 1390 | poor | 75 / 2 hoursTotal time users spent waiting for this page to load: 4.8s LCP × 1,390 page loads. | 100 | 96 | 100 | WordPress 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://trace.ncbi.nlm.nih.govDepartment of Health and Human Services | 1353 | poor | 55 / 4 hoursTotal time users spent waiting for this page to load: 10.4s LCP × 1,353 page loads. | 94 / 1 | 81 | 100 | 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://nhlbi.nih.govDepartment of Health and Human Services | 1245 | poor | 47 / 3 hoursTotal time users spent waiting for this page to load: 7.9s LCP × 1,245 page loads. | 96 / 1 | 73 | 92 | Drupal USWDS 4 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Adobe Analytics, Google Fonts | |
| https://tools.cdc.govDepartment of Health and Human Services | 1213 | poor | 26 / 3 hoursTotal time users spent waiting for this page to load: 9.3s LCP × 1,213 page loads. | 95 / 1 | 92 | 92 | USWDS 1 3rd-partyThird-party services: Google Analytics | |
| https://www.cdc.govDepartment of Health and Human Services | 1198 | unknown | — | — | — | — | ||
| https://icd10cmtool.cdc.govDepartment of Health and Human Services | 1113 | unknown | — | — | — | — | ||
| https://datadashboard.fda.govDepartment of Health and Human Services | 746 | poor | 42 / 1 hoursTotal time users spent waiting for this page to load: 6.6s LCP × 746 page loads. | 81 / 1 | 100 | 100 | 3 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Google Ads | |
| https://gettested.cdc.govDepartment of Health and Human Services | 706 | needs improvement | 82 / 28 minutesTotal time users spent waiting for this page to load: 2.3s LCP × 706 page loads. | 100 | 100 | 100 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://phgkb.cdc.govDepartment of Health and Human Services | 702 | poor | 50 / 2 hoursTotal time users spent waiting for this page to load: 10.2s LCP × 702 page loads. | 81 / 4 | 65 | 91 | 1 3rd-partyThird-party services: Google Analytics | |
| https://catalog.nlm.nih.govDepartment of Health and Human Services | 698 | poor | 9 / 4 hoursTotal time users spent waiting for this page to load: 19.1s LCP × 698 page loads. | 93 / 2 | 100 | 66 | USWDS 1 3rd-partyThird-party services: Google Tag Manager | |
| https://jats.nlm.nih.govDepartment of Health and Human Services | 665 | needs improvement | 72 / 41 minutesTotal time users spent waiting for this page to load: 3.7s LCP × 665 page loads. | 87 / 2 | 88 | 92 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://reach.cdc.govDepartment of Health and Human Services | 665 | poor | 64 / 2 hoursTotal time users spent waiting for this page to load: 10.7s LCP × 665 page loads. | 92 / 2 | 96 | 100 | Drupal 3 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Google Fonts | |
| https://niddk.nih.govDepartment of Health and Human Services | 605 | poor | 57 / 2 hoursTotal time users spent waiting for this page to load: 9.5s LCP × 605 page loads. | 100 | 96 | 100 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://vaccines.govDepartment of Health and Human Services | 588 | unknown | 0 | 0 | 0 | 0 | ||
| https://nihms.nih.govDepartment of Health and Human Services | 582 | poor | 33 / 52 minutesTotal time users spent waiting for this page to load: 5.4s LCP × 582 page loads. | 96 / 1 | 81 | 91 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://thecommunityguide.org | 573 | poor | 51 / 1 hoursTotal time users spent waiting for this page to load: 6.4s LCP × 573 page loads. | 98 | 73 | 83 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://jobs.cdc.govDepartment of Health and Human Services | 569 | unknown | — | — | — | — | ||
| https://nimh.nih.govDepartment of Health and Human Services | 514 | poor | 63 / 51 minutesTotal time users spent waiting for this page to load: 5.9s LCP × 514 page loads. | 93 / 1 | 100 | 85 | Drupal USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://phinvads.cdc.govDepartment of Health and Human Services | 499 | unknown | — | — | — | — | ||
| https://ndc.services.cdc.govDepartment of Health and Human Services | 489 | unknown | — | — | — | — | ||
| https://dbgap.ncbi.nlm.nih.govDepartment of Health and Human Services | 455 | poor | 55 / 3 hoursTotal time users spent waiting for this page to load: 20.6s LCP × 455 page loads. | 93 / 2 | 96 | 82 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://circulatingnow.nlm.nih.govDepartment of Health and Human Services | 396 | poor | 55 / 40 minutesTotal time users spent waiting for this page to load: 6.1s LCP × 396 page loads. | 95 / 1 | 96 | 100 | WordPress 3 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Google Fonts | |
| https://ninds.nih.govDepartment of Health and Human Services | 380 | poor | 49 / 2 hoursTotal time users spent waiting for this page to load: 14.7s LCP × 380 page loads. | 100 | 92 | 92 | Drupal 5 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Hotjar, Twitter / X Widgets | |
| https://nia.nih.govDepartment of Health and Human Services | 368 | unknown | 0 | 0 | 0 | 0 | ||
| https://wisqars.cdc.govDepartment of Health and Human Services | 361 | poor | 41 / 50 minutesTotal time users spent waiting for this page to load: 8.3s LCP × 361 page loads. | 98 | 96 | 83 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://profiles.nlm.nih.govDepartment of Health and Human Services | 350 | poor | 48 / 2 hoursTotal time users spent waiting for this page to load: 21.9s LCP × 350 page loads. | 96 / 1 | 77 | 92 | USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://meshb-prev.nlm.nih.govDepartment of Health and Human Services | 346 | poor | 57 / 44 minutesTotal time users spent waiting for this page to load: 7.7s LCP × 346 page loads. | 88 / 2 | 100 | 91 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://dataview.ncbi.nlm.nih.govDepartment of Health and Human Services | 319 | poor | 37 / 59 minutesTotal time users spent waiting for this page to load: 11.2s LCP × 319 page loads. | 100 | 96 | 58 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://millionhearts.hhs.govDepartment of Health and Human Services | 319 | needs improvement | 89 / 14 minutesTotal time users spent waiting for this page to load: 2.6s LCP × 319 page loads. | 93 / 2 | 73 | 92 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://mor.nlm.nih.govDepartment of Health and Human Services | 299 | poor | 48 / 58 minutesTotal time users spent waiting for this page to load: 11.6s LCP × 299 page loads. | 79 / 2 | 100 | 92 | USWDS 2.4.0 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://nida.nih.govDepartment of Health and Human Services | 293 | poor | 38 / 43 minutesTotal time users spent waiting for this page to load: 8.7s LCP × 293 page loads. | 98 | 100 | 100 | Drupal USWDS 5 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, Google Fonts | |
| https://cfmedicine.awsprod.nlm.nih.govDepartment of Health and Human Services | 273 | poor | 60 / 23 minutesTotal time users spent waiting for this page to load: 5.1s LCP × 273 page loads. | 83 / 2 | 81 | 91 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://www2a.cdc.govDepartment of Health and Human Services | 273 | unknown | 0 | 0 | 0 | 0 | ||
| https://vsac.nlm.nih.govDepartment of Health and Human Services | 261 | unknown | — | — | — | — | ||
| https://vetoviolence.cdc.govDepartment of Health and Human Services | 259 | unknown | — | — | — | — | ||
| https://findingaids.nlm.nih.govDepartment of Health and Human Services | 251 | poor | 60 / 18 minutesTotal time users spent waiting for this page to load: 4.3s LCP × 251 page loads. | 99 | 96 | 92 | USWDS 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://datasetcatalog.nlm.nih.govDepartment of Health and Human Services | 249 | poor | 34 / 40 minutesTotal time users spent waiting for this page to load: 9.7s LCP × 249 page loads. | 91 / 2 | 100 | 100 | USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, jsDelivr CDN | |
| https://nccih.nih.govDepartment of Health and Human Services | 245 | poor | 51 / 1 hoursTotal time users spent waiting for this page to load: 16.0s LCP × 245 page loads. | 91 / 3 | 100 | 92 | 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://learn.nlm.nih.govDepartment of Health and Human Services | 233 | poor | 50 / 19 minutesTotal time users spent waiting for this page to load: 4.8s LCP × 233 page loads. | 93 / 2 | 92 | 91 | USWDS 5 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, jsDelivr CDN, cdnjs | |
| https://hivrisk.cdc.govDepartment of Health and Human Services | 208 | poor | 52 / 2 hoursTotal time users spent waiting for this page to load: 29.3s LCP × 208 page loads. | 70 / 7 | 69 | 85 | WordPress 4 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, cdnjs, Google Fonts | |
| https://nationaldppcsc.cdc.govDepartment of Health and Human Services | 207 | unknown | — | — | — | — | ||
| https://testpubchem.ncbi.nlm.nih.govDepartment of Health and Human Services | 200 | needs improvement | 84 / 10 minutesTotal time users spent waiting for this page to load: 2.9s LCP × 200 page loads. | 100 | 100 | 66 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://selectagents.govDepartment of Health and Human Services | 194 | unknown | — | — | — | — | ||
| https://animaldrugsatfda.fda.govDepartment of Health and Human Services | 193 | poor | 33 / 1 hoursTotal time users spent waiting for this page to load: 20.7s LCP × 193 page loads. | 95 / 1 | 92 | 91 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://niams.nih.govDepartment of Health and Human Services | 178 | poor | 46 / 22 minutesTotal time users spent waiting for this page to load: 7.6s LCP × 178 page loads. | 100 | 81 | 100 | Drupal 6 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, unpkg CDN, Google Fonts | |
| https://nccd.cdc.govDepartment of Health and Human Services | 173 | poor | 59 / 1 hoursTotal time users spent waiting for this page to load: 21.4s LCP × 173 page loads. | 95 / 1 | 100 | 92 | USWDS 1 3rd-partyThird-party services: Google Analytics | |
| https://nichd.nih.govDepartment of Health and Human Services | 156 | poor | 24 / 18 minutesTotal time users spent waiting for this page to load: 6.8s LCP × 156 page loads. | 97 / 1 | 100 | 77 | Drupal USWDS 6 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads, YouTube, unpkg CDN | |
| https://ncsacw.acf.govDepartment of Health and Human Services | 143 | poor | 53 / 18 minutesTotal time users spent waiting for this page to load: 7.4s LCP × 143 page loads. | 94 / 2 | 96 | 92 | 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Fonts | |
| https://cde.nlm.nih.govDepartment of Health and Human Services | 142 | poor | 38 / 22 minutesTotal time users spent waiting for this page to load: 9.4s LCP × 142 page loads. | 96 / 1 | 100 | 92 | 3 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program | |
| https://ephtracking.cdc.govDepartment of Health and Human Services | 140 | poor | 20 / 32 minutesTotal time users spent waiting for this page to load: 13.9s LCP × 140 page loads. | 100 | 92 | 82 | USWDS 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://labels.fda.govDepartment of Health and Human Services | 140 | poor | 74 / 11 minutesTotal time users spent waiting for this page to load: 4.9s LCP × 140 page loads. | 65 / 5 | 65 | 91 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://niaaa.nih.govDepartment of Health and Human Services | 137 | poor | 51 / 26 minutesTotal time users spent waiting for this page to load: 11.4s LCP × 137 page loads. | 91 / 3 | 77 | 100 | Drupal USWDS 4 3rd-partyThird-party services: Google Analytics, Google Tag Manager, Digital Analytics Program, Google Ads | |
| https://nlmdirector.nlm.nih.govDepartment of Health and Human Services | 135 | poor | 41 / 2 hoursTotal time users spent waiting for this page to load: 40.4s LCP × 135 page loads. | 95 / 2 | 92 | 92 | WordPress 4 3rd-partyThird-party services: Google Analytics, Digital Analytics Program, Twitter / X Widgets, Google Fonts | |
| https://yrbs-explorer.services.cdc.govDepartment of Health and Human Services | 125 | poor | 60 / 6 minutesTotal time users spent waiting for this page to load: 2.9s LCP × 125 page loads. | 96 / 1 | 100 | 91 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program | |
| https://nchsdata.cdc.govDepartment of Health and Human Services | 124 | unknown | 0 | 0 | 0 | 0 | ||
| https://places.cdc.govDepartment of Health and Human Services | 119 | poor | 45 / 14 minutesTotal time users spent waiting for this page to load: 7.2s LCP × 119 page loads. | 97 / 1 | 100 | 100 | 2 3rd-partyThird-party services: Google Analytics, Digital Analytics Program |
Detected Technologies
Technology signals detected from the network requests loaded by each scanned URL. CMS detection identifies WordPress, Drupal, and Joomla from characteristic asset paths. USWDS detection identifies use of the U.S. Web Design System.
| CMS | URLs | Share |
|---|---|---|
| Drupal | 18Sites: acf.gov, cdrh-rst.fda.gov, cms.gov, grants.nih.gov, hhs.gov, hivinfo.nih.gov, nei.nih.gov, nhlbi.nih.gov, niaaa.nih.gov, niams.nih.gov, nichd.nih.gov, nida.nih.gov, nidcr.nih.gov, nih.gov, nimh.nih.gov, ninds.nih.gov, npin.cdc.gov, reach.cdc.gov | 15% |
| WordPress | 7Sites: blogs.cdc.gov, circulatingnow.nlm.nih.gov, hivrisk.cdc.gov, medicineonscreen.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, nlm.nih.gov, nlmdirector.nlm.nih.gov | 6% |
USWDS detected on 51 of 117 scanned URLs (44%).
Observed USWDS versions: 2.4.0Sites: lhncbc.nlm.nih.gov, mor.nlm.nih.gov, 3.7.1Sites: classification.nlm.nih.gov. The latest release is available at github.com/uswds/uswds/releases.
Third-Party JavaScript Services
Third-party scripts detected from network requests loaded by scanned pages. These services may affect page performance, user privacy, and security posture.
10 services marked tracking send user data to third-party servers and may have privacy implications for site visitors.
| Service | Category | URLs | Share | Privacy | Size (avg / total) |
|---|---|---|---|---|---|
| Google Analytics | analytics | 103Sites: account.ncbi.nlm.nih.gov, acf.gov, animaldrugsatfda.fda.gov, archive.cdc.gov, art.cdc.gov, atsdr.cdc.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, blogs.cdc.gov, cdc.gov, cde.nlm.nih.gov, cdrh-rst.fda.gov, cfmedicine.awsprod.nlm.nih.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, clinicaltrials.gov, cms.gov, collections.nlm.nih.gov, dailymed.nlm.nih.gov, datadashboard.fda.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dataview.ncbi.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, direct.fda.gov, dnpao-dtm.cdc.gov, docline.gov, ephtracking.cdc.gov, fda.gov, fdanj.nlm.nih.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, gis.cdc.gov, grants.nih.gov, hhs.gov, hivinfo.nih.gov, hivrisk.cdc.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, labels.fda.gov, learn.nlm.nih.gov, lhncbc.nlm.nih.gov, magazine.medlineplus.gov, medicineonscreen.nlm.nih.gov, medlineplus.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, mor.nlm.nih.gov, ncbi.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, nccd.cdc.gov, nccih.nih.gov, ncsacw.acf.gov, nei.nih.gov, nfr.cdc.gov, nhlbi.nih.gov, niaaa.nih.gov, niams.nih.gov, nichd.nih.gov, nida.nih.gov, nidcr.nih.gov, niddk.nih.gov, nih.gov, nihms.nih.gov, nimh.nih.gov, ninds.nih.gov, nlm.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, openi.nlm.nih.gov, phgkb.cdc.gov, places.cdc.gov, pmc.ncbi.nlm.nih.gov, precision.fda.gov, preview.ncbi.nlm.nih.gov, profiles.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, purplebooksearch.fda.gov, rarediseases.info.nih.gov, reach.cdc.gov, register.clinicaltrials.gov, reporter.nih.gov, search.cdc.gov, submit.ncbi.nlm.nih.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, thecommunityguide.org, tools.cdc.gov, trace.ncbi.nlm.nih.gov, uts.nlm.nih.gov, wisqars.cdc.gov, wonder.cdc.gov, www.clinicaltrials.gov, www.ncbi.nlm.nih.gov, www.nihms.nih.gov, wwwnc.cdc.gov, youthonline.cdc.gov, yrbs-explorer.services.cdc.gov | 88% | tracking | 400 KB (4539.1 GB total) |
| Digital Analytics Program | analytics | 98Sites: account.ncbi.nlm.nih.gov, acf.gov, animaldrugsatfda.fda.gov, archive.cdc.gov, atsdr.cdc.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, blogs.cdc.gov, cdc.gov, cde.nlm.nih.gov, cdrh-rst.fda.gov, cfmedicine.awsprod.nlm.nih.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, clinicaltrials.gov, cms.gov, collections.nlm.nih.gov, dailymed.nlm.nih.gov, datadashboard.fda.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dataview.ncbi.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, direct.fda.gov, dnpao-dtm.cdc.gov, docline.gov, ephtracking.cdc.gov, fda.gov, fdanj.nlm.nih.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, grants.nih.gov, hhs.gov, hivinfo.nih.gov, hivrisk.cdc.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, labels.fda.gov, learn.nlm.nih.gov, lhncbc.nlm.nih.gov, magazine.medlineplus.gov, medicineonscreen.nlm.nih.gov, medlineplus.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, mor.nlm.nih.gov, ncbi.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, nccih.nih.gov, ncsacw.acf.gov, nei.nih.gov, nfr.cdc.gov, nhlbi.nih.gov, niaaa.nih.gov, niams.nih.gov, nichd.nih.gov, nida.nih.gov, nidcr.nih.gov, niddk.nih.gov, nih.gov, nihms.nih.gov, nimh.nih.gov, ninds.nih.gov, nlm.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, openi.nlm.nih.gov, places.cdc.gov, pmc.ncbi.nlm.nih.gov, precision.fda.gov, preview.ncbi.nlm.nih.gov, profiles.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, purplebooksearch.fda.gov, rarediseases.info.nih.gov, reach.cdc.gov, register.clinicaltrials.gov, reporter.nih.gov, search.cdc.gov, submit.ncbi.nlm.nih.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, thecommunityguide.org, trace.ncbi.nlm.nih.gov, uts.nlm.nih.gov, wisqars.cdc.gov, wonder.cdc.gov, www.clinicaltrials.gov, www.ncbi.nlm.nih.gov, www.nihms.nih.gov, wwwnc.cdc.gov, youthonline.cdc.gov, yrbs-explorer.services.cdc.gov | 84% | 11 KB (129.0 GB total) | |
| Google Tag Manager | analytics | 68Sites: account.ncbi.nlm.nih.gov, acf.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, catalog.nlm.nih.gov, cde.nlm.nih.gov, cfmedicine.awsprod.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, clinicaltrials.gov, collections.nlm.nih.gov, dailymed.nlm.nih.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dataview.ncbi.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, docline.gov, fda.gov, fdanj.nlm.nih.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, grants.nih.gov, hhs.gov, hivinfo.nih.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, learn.nlm.nih.gov, lhncbc.nlm.nih.gov, magazine.medlineplus.gov, medlineplus.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, mor.nlm.nih.gov, ncbi.nlm.nih.gov, nccih.nih.gov, ncsacw.acf.gov, nei.nih.gov, niaaa.nih.gov, niams.nih.gov, nichd.nih.gov, nida.nih.gov, nidcr.nih.gov, niddk.nih.gov, nih.gov, nihms.nih.gov, nimh.nih.gov, ninds.nih.gov, nlm.nih.gov, npin.cdc.gov, openi.nlm.nih.gov, pmc.ncbi.nlm.nih.gov, preview.ncbi.nlm.nih.gov, profiles.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, rarediseases.info.nih.gov, register.clinicaltrials.gov, submit.ncbi.nlm.nih.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, trace.ncbi.nlm.nih.gov, uts.nlm.nih.gov, www.clinicaltrials.gov, www.ncbi.nlm.nih.gov, www.nihms.nih.gov | 58% | tracking | 139 KB (1490.0 GB total) |
| Google Fonts | fonts | 36Sites: acf.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, clinicaltrials.gov, collections.nlm.nih.gov, data.cdc.gov, datadiscovery.nlm.nih.gov, digitalgallery.nlm.nih.gov, docline.gov, fdanj.nlm.nih.gov, grants.nih.gov, hhs.gov, hivinfo.nih.gov, hivrisk.cdc.gov, lhncbc.nlm.nih.gov, magazine.medlineplus.gov, mor.nlm.nih.gov, ncbiinsights.ncbi.nlm.nih.gov, nccih.nih.gov, ncsacw.acf.gov, nfr.cdc.gov, nhlbi.nih.gov, niams.nih.gov, nida.nih.gov, nimh.nih.gov, nlm.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, profiles.nlm.nih.gov, rarediseases.info.nih.gov, reach.cdc.gov, reporter.nih.gov, support.nlm.nih.gov, trace.ncbi.nlm.nih.gov, www.clinicaltrials.gov | 31% | tracking | 59 KB (25.0 GB total) |
| Google Ads | advertising | 12Sites: acf.gov, datadashboard.fda.gov, fda.gov, hhs.gov, hivinfo.nih.gov, magazine.medlineplus.gov, nfr.cdc.gov, niaaa.nih.gov, niams.nih.gov, nichd.nih.gov, nida.nih.gov, nidcr.nih.gov | 10% | tracking | 643 B (198.2 MB total) |
| jsDelivr CDN | cdn | 6Sites: classification.nlm.nih.gov, datasetcatalog.nlm.nih.gov, grants.nih.gov, hivinfo.nih.gov, learn.nlm.nih.gov, npin.cdc.gov | 5% | 62 KB (175.3 MB total) | |
| YouTube | social | 5Sites: cms.gov, hhs.gov, magazine.medlineplus.gov, nfr.cdc.gov, nichd.nih.gov | 4% | tracking | 38 KB (6.8 GB total) |
| unpkg CDN | cdn | 5Sites: acf.gov, classification.nlm.nih.gov, dnpao-dtm.cdc.gov, niams.nih.gov, nichd.nih.gov | 4% | 10 KB (481.9 MB total) | |
| cdnjs | cdn | 4Sites: data.cdc.gov, hivrisk.cdc.gov, learn.nlm.nih.gov, support.nlm.nih.gov | 3% | 162 KB (2.0 GB total) | |
| Twitter / X Widgets | social | 2Sites: ninds.nih.gov, nlmdirector.nlm.nih.gov | 2% | tracking | 132 KB (66.5 MB total) |
| Facebook / Meta Pixel | advertising | 1Sites: magazine.medlineplus.gov | 1% | tracking | 127 KB (618.0 MB total) |
| Adobe Analytics | analytics | 1Sites: nhlbi.nih.gov | 1% | tracking | 67 KB (82.0 MB total) |
| Hotjar | analytics | 1Sites: ninds.nih.gov | 1% | tracking | 6 KB (2.3 MB total) |
| ForeSee / Verint | analytics | 1Sites: hivinfo.nih.gov | 1% | tracking | — |
Accessibility Statements (M-24-08)
OMB Memorandum M-24-08 requires each federal agency to publish a digital accessibility statement that includes contact information for accessibility issues, known limitations, and a link to the agency Section 508 program page.
41 of 117 domains (35%) checked have a detectable accessibility statement at a standard URL path.
| Domain | Status | Statement URL |
|---|---|---|
| acf.gov | ✓ Found | https://acf.gov/accessibility |
| art.cdc.gov | ✓ Found | https://art.cdc.gov/accessibility |
| catalog.nlm.nih.gov | ✓ Found | https://catalog.nlm.nih.gov/accessibility.html |
| cde.nlm.nih.gov | ✓ Found | https://cde.nlm.nih.gov/accessibility |
| clinicaltrials.gov | ✓ Found | https://clinicaltrials.gov/accessibility |
| cms.gov | ✓ Found | https://cms.gov/accessibility |
| collections.nlm.nih.gov | ✓ Found | https://collections.nlm.nih.gov/accessibility |
| dailymed.nlm.nih.gov | ✓ Found | https://dailymed.nlm.nih.gov/accessibility |
| dataview.ncbi.nlm.nih.gov | ✓ Found | https://dataview.ncbi.nlm.nih.gov/accessibility |
| docline.gov | ✓ Found | https://docline.gov/accessibility |
| fda.gov | ✓ Found | https://fda.gov/accessibility |
| fdanj.nlm.nih.gov | ✓ Found | https://fdanj.nlm.nih.gov/accessibility |
| hhs.gov | ✓ Found | https://hhs.gov/accessibility |
| lhncbc.nlm.nih.gov | ✓ Found | https://lhncbc.nlm.nih.gov/accessibility |
| magazine.medlineplus.gov | ✓ Found | https://magazine.medlineplus.gov/about/accessibility |
| medlineplus.gov | ✓ Found | https://medlineplus.gov/accessibility |
| mor.nlm.nih.gov | ✓ Found | https://mor.nlm.nih.gov/accessibility |
| ncbi.nlm.nih.gov | ✓ Found | https://ncbi.nlm.nih.gov/accessibility |
| nccih.nih.gov | ✓ Found | https://nccih.nih.gov/accessibility |
| nei.nih.gov | ✓ Found | https://nei.nih.gov/accessibility |
| nhlbi.nih.gov | ✓ Found | https://nhlbi.nih.gov/accessibility |
| nia.nih.gov | ✓ Found | https://nia.nih.gov/accessibility |
| niams.nih.gov | ✓ Found | https://niams.nih.gov/accessibility |
| nida.nih.gov | ✓ Found | https://nida.nih.gov/accessibility |
| nidcr.nih.gov | ✓ Found | https://nidcr.nih.gov/accessibility |
| niddk.nih.gov | ✓ Found | https://niddk.nih.gov/accessibility |
| nih.gov | ✓ Found | https://nih.gov/accessibility |
| nihms.nih.gov | ✓ Found | https://nihms.nih.gov/accessibility |
| nimh.nih.gov | ✓ Found | https://nimh.nih.gov/accessibility |
| nlm.nih.gov | ✓ Found | https://nlm.nih.gov/accessibility |
| openi.nlm.nih.gov | ✓ Found | https://openi.nlm.nih.gov/accessibility |
| pmc.ncbi.nlm.nih.gov | ✓ Found | https://pmc.ncbi.nlm.nih.gov/about/accessibility |
| profiles.nlm.nih.gov | ✓ Found | https://profiles.nlm.nih.gov/accessibility |
| pubmed.ncbi.nlm.nih.gov | ✓ Found | https://pubmed.ncbi.nlm.nih.gov/508 |
| rarediseases.info.nih.gov | ✓ Found | https://rarediseases.info.nih.gov/accessibility |
| reporter.nih.gov | ✓ Found | https://reporter.nih.gov/accessibility |
| submit.ncbi.nlm.nih.gov | ✓ Found | https://submit.ncbi.nlm.nih.gov/about/accessibility |
| uts.nlm.nih.gov | ✓ Found | https://uts.nlm.nih.gov/accessibility |
| www.clinicaltrials.gov | ✓ Found | https://www.clinicaltrials.gov/accessibility |
| www.ncbi.nlm.nih.gov | ✓ Found | https://www.ncbi.nlm.nih.gov/about/accessibility |
| www.nihms.nih.gov | ✓ Found | https://www.nihms.nih.gov/accessibility |
| access.fda.gov | ✗ Not found | |
| accessdata.fda.gov | ✗ Not found | |
| account.ncbi.nlm.nih.gov | ✗ Not found | |
| animaldrugsatfda.fda.gov | ✗ Not found | |
| archive.cdc.gov | ✗ Not found | |
| atsdr.cdc.gov | ✗ Not found | |
| beta.ncbi.nlm.nih.gov | ✗ Not found | |
| blast.ncbi.nlm.nih.gov | ✗ Not found | |
| blogs.cdc.gov | ✗ Not found | |
| cdc.gov | ✗ Not found | |
| cdrh-rst.fda.gov | ✗ Not found | |
| cfmedicine.awsprod.nlm.nih.gov | ✗ Not found | |
| circulatingnow.nlm.nih.gov | ✗ Not found | |
| classification.nlm.nih.gov | ✗ Not found | |
| clinicaltables.nlm.nih.gov | ✗ Not found | |
| data.cdc.gov | ✗ Not found | |
| datadashboard.fda.gov | ✗ Not found | |
| datadiscovery.nlm.nih.gov | ✗ Not found | |
| datasetcatalog.nlm.nih.gov | ✗ Not found | |
| dbgap.ncbi.nlm.nih.gov | ✗ Not found | |
| digitalgallery.nlm.nih.gov | ✗ Not found | |
| direct.fda.gov | ✗ Not found | |
| dnpao-dtm.cdc.gov | ✗ Not found | |
| ephtracking.cdc.gov | ✗ Not found | |
| finddoxypep.cdc.gov | ✗ Not found | |
| findingaids.nlm.nih.gov | ✗ Not found | |
| gettested.cdc.gov | ✗ Not found | |
| gis.cdc.gov | ✗ Not found | |
| grants.nih.gov | ✗ Not found | |
| hfpappexternal.fda.gov | ✗ Not found | |
| hivinfo.nih.gov | ✗ Not found | |
| hivrisk.cdc.gov | ✗ Not found | |
| id.nlm.nih.gov | ✗ Not found | |
| imagic.nlm.nih.gov | ✗ Not found | |
| jats.nlm.nih.gov | ✗ Not found | |
| labels.fda.gov | ✗ Not found | |
| learn.nlm.nih.gov | ✗ Not found | |
| medicineonscreen.nlm.nih.gov | ✗ Not found | |
| meshb-prev.nlm.nih.gov | ✗ Not found | |
| meshb.nlm.nih.gov | ✗ Not found | |
| millionhearts.hhs.gov | ✗ Not found | |
| ncbiinsights.ncbi.nlm.nih.gov | ✗ Not found | |
| nccd.cdc.gov | ✗ Not found | |
| nchsdata.cdc.gov | ✗ Not found | |
| ncsacw.acf.gov | ✗ Not found | |
| nfr.cdc.gov | ✗ Not found | |
| niaaa.nih.gov | ✗ Not found | |
| nichd.nih.gov | ✗ Not found | |
| nidcd.nih.gov | ✗ Not found | |
| niehs.nih.gov | ✗ Not found | |
| ninds.nih.gov | ✗ Not found | |
| nlmdirector.nlm.nih.gov | ✗ Not found | |
| npin.cdc.gov | ✗ Not found | |
| phgkb.cdc.gov | ✗ Not found | |
| places.cdc.gov | ✗ Not found | |
| precision.fda.gov | ✗ Not found | |
| preview.ncbi.nlm.nih.gov | ✗ Not found | |
| pubchem.ncbi.nlm.nih.gov | ✗ Not found | |
| purplebooksearch.fda.gov | ✗ Not found | |
| reach.cdc.gov | ✗ Not found | |
| register.clinicaltrials.gov | ✗ Not found | |
| search.cdc.gov | ✗ Not found | |
| support.nlm.nih.gov | ✗ Not found | |
| testpubchem.ncbi.nlm.nih.gov | ✗ Not found | |
| thecommunityguide.org | ✗ Not found | |
| tools.cdc.gov | ✗ Not found | |
| trace.ncbi.nlm.nih.gov | ✗ Not found | |
| vaccines.gov | ✗ Not found | |
| vsearch.nlm.nih.gov | ✗ Not found | |
| wisqars.cdc.gov | ✗ Not found | |
| wonder.cdc.gov | ✗ Not found | |
| www2a.cdc.gov | ✗ Not found | |
| wwwn.cdc.gov | ✗ Not found | |
| wwwnc.cdc.gov | ✗ Not found | |
| youthonline.cdc.gov | ✗ Not found | |
| yrbs-explorer.services.cdc.gov | ✗ Not found |
Required Federal Links (M-17-06)
OMB Memorandum M-17-06 and the 21st Century IDEA Act require federal agency public websites to provide links to a Privacy Policy, Contact page, and FOIA page. These were among the compliance criteria benchmarked by the performance.gov federal website performance initiative (no longer active, but the underlying requirements remain in force).
37 of 117 domains (32%) have all three required link types detectable at standard URL paths.
| Link Type | Policy | Domains with Link | Missing Domains |
|---|---|---|---|
| Privacy Policy | OMB M-03-22 / M-17-06 | 43 / 117 (37%) | access.fda.gov, accessdata.fda.gov, account.ncbi.nlm.nih.gov, animaldrugsatfda.fda.gov, archive.cdc.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, blogs.cdc.gov, cdrh-rst.fda.gov, cfmedicine.awsprod.nlm.nih.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, data.cdc.gov, datadashboard.fda.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, digitalgallery.nlm.nih.gov, direct.fda.gov, dnpao-dtm.cdc.gov, ephtracking.cdc.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, gis.cdc.gov, grants.nih.gov, hfpappexternal.fda.gov, hivinfo.nih.gov, hivrisk.cdc.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, labels.fda.gov, learn.nlm.nih.gov, medicineonscreen.nlm.nih.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, ncbiinsights.ncbi.nlm.nih.gov, nccd.cdc.gov, nchsdata.cdc.gov, ncsacw.acf.gov, nfr.cdc.gov, niaaa.nih.gov, nichd.nih.gov, nidcd.nih.gov, niehs.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, phgkb.cdc.gov, places.cdc.gov, precision.fda.gov, preview.ncbi.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, purplebooksearch.fda.gov, reach.cdc.gov, register.clinicaltrials.gov, search.cdc.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, thecommunityguide.org, tools.cdc.gov, trace.ncbi.nlm.nih.gov, vaccines.gov, vsearch.nlm.nih.gov, wisqars.cdc.gov, wonder.cdc.gov, www2a.cdc.gov, wwwn.cdc.gov, wwwnc.cdc.gov, youthonline.cdc.gov, yrbs-explorer.services.cdc.gov |
| Contact Page | OMB M-17-06 | 49 / 117 (42%) | access.fda.gov, accessdata.fda.gov, account.ncbi.nlm.nih.gov, animaldrugsatfda.fda.gov, archive.cdc.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, blogs.cdc.gov, cfmedicine.awsprod.nlm.nih.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, data.cdc.gov, datadashboard.fda.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, direct.fda.gov, dnpao-dtm.cdc.gov, ephtracking.cdc.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, gis.cdc.gov, hfpappexternal.fda.gov, hivrisk.cdc.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, labels.fda.gov, learn.nlm.nih.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, ncbiinsights.ncbi.nlm.nih.gov, nccd.cdc.gov, nchsdata.cdc.gov, ncsacw.acf.gov, nfr.cdc.gov, niaaa.nih.gov, nichd.nih.gov, nidcd.nih.gov, niehs.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, phgkb.cdc.gov, places.cdc.gov, precision.fda.gov, preview.ncbi.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, purplebooksearch.fda.gov, register.clinicaltrials.gov, search.cdc.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, thecommunityguide.org, tools.cdc.gov, trace.ncbi.nlm.nih.gov, vaccines.gov, vsearch.nlm.nih.gov, wisqars.cdc.gov, wonder.cdc.gov, www2a.cdc.gov, wwwn.cdc.gov, wwwnc.cdc.gov, youthonline.cdc.gov, yrbs-explorer.services.cdc.gov |
| FOIA Page | 5 U.S.C. 552 | 37 / 117 (32%) | access.fda.gov, accessdata.fda.gov, account.ncbi.nlm.nih.gov, animaldrugsatfda.fda.gov, archive.cdc.gov, atsdr.cdc.gov, beta.ncbi.nlm.nih.gov, blast.ncbi.nlm.nih.gov, blogs.cdc.gov, cdrh-rst.fda.gov, cfmedicine.awsprod.nlm.nih.gov, circulatingnow.nlm.nih.gov, classification.nlm.nih.gov, clinicaltables.nlm.nih.gov, data.cdc.gov, datadashboard.fda.gov, datadiscovery.nlm.nih.gov, datasetcatalog.nlm.nih.gov, dbgap.ncbi.nlm.nih.gov, digitalgallery.nlm.nih.gov, direct.fda.gov, dnpao-dtm.cdc.gov, ephtracking.cdc.gov, finddoxypep.cdc.gov, findingaids.nlm.nih.gov, gettested.cdc.gov, gis.cdc.gov, grants.nih.gov, hfpappexternal.fda.gov, hivinfo.nih.gov, hivrisk.cdc.gov, id.nlm.nih.gov, imagic.nlm.nih.gov, jats.nlm.nih.gov, labels.fda.gov, learn.nlm.nih.gov, magazine.medlineplus.gov, medicineonscreen.nlm.nih.gov, meshb-prev.nlm.nih.gov, meshb.nlm.nih.gov, millionhearts.hhs.gov, ncbiinsights.ncbi.nlm.nih.gov, nccd.cdc.gov, nchsdata.cdc.gov, ncsacw.acf.gov, nfr.cdc.gov, niaaa.nih.gov, nichd.nih.gov, nidcd.nih.gov, niehs.nih.gov, nlmdirector.nlm.nih.gov, npin.cdc.gov, phgkb.cdc.gov, places.cdc.gov, pmc.ncbi.nlm.nih.gov, precision.fda.gov, preview.ncbi.nlm.nih.gov, pubchem.ncbi.nlm.nih.gov, pubmed.ncbi.nlm.nih.gov, purplebooksearch.fda.gov, rarediseases.info.nih.gov, reach.cdc.gov, register.clinicaltrials.gov, search.cdc.gov, submit.ncbi.nlm.nih.gov, support.nlm.nih.gov, testpubchem.ncbi.nlm.nih.gov, thecommunityguide.org, tools.cdc.gov, trace.ncbi.nlm.nih.gov, vaccines.gov, vsearch.nlm.nih.gov, wisqars.cdc.gov, wonder.cdc.gov, www.ncbi.nlm.nih.gov, www2a.cdc.gov, wwwn.cdc.gov, wwwnc.cdc.gov, youthonline.cdc.gov, yrbs-explorer.services.cdc.gov |
Section 508: Legal Requirements vs. Best Practices
Section 508 of the Rehabilitation Act was enacted in 1998 and requires U.S. federal agencies to make their electronic and information technology accessible to people with disabilities. The technical standards were significantly updated through the ICT Accessibility Standards refresh, which became effective in January 2018 — the same year Apple celebrated the 10th anniversary of the iPhone. That refresh incorporated WCAG 2.0 Level AA (published in 2008) as the baseline for web content.
The web has changed dramatically since then. What agencies are legally required to meet today is built on a standard from 2008 — the same era as the original iPhone. Agencies should treat WCAG 2.0 AA as the floor, not the ceiling.
Legal Requirement
WCAG 2.0 Level AA (published 2008)
Referenced by the Section 508 ICT Standards refresh (effective 2018). Agencies must meet these 38 success criteria to satisfy their Section 508 obligations for web content.
- Text alternatives for non-text content
- Captions and audio descriptions for multimedia
- Keyboard accessibility and focus management
- Minimum color contrast (4.5:1 for normal text)
- No seizure-inducing content
- Consistent navigation and labeling
- Error identification and correction
Best Practices
WCAG 2.1 and 2.2 Level AA (published 2018 and 2023)
These later versions add criteria that reflect how the web actually works today — mobile devices, cognitive accessibility, and modern authentication patterns — and are strongly recommended for any agency aiming to serve all Americans. The US Federal Government is one of the last to use the legacy WCAG 2.0 AA Standard, as it was developed ~2 decades ago.
- WCAG 2.1 (2018): 17 new criteria for mobile, low vision, and cognitive accessibility
- WCAG 2.2 (2023): 9 more criteria for authentication and cognitive tasks, removing the outdated "Parsing" criterion
- W3C now recommends WCAG 2.2 as the current normative standard for new and updated content
The scores and findings in this report are based on automated checks aligned with WCAG 2.x rules surfaced by axe-core. Passing automated checks is necessary but not sufficient: manual testing with assistive technologies is required to verify true conformance and to catch barriers that automation cannot detect.
Take Action
Today's scan identified 214 accessibility barriers across the most-visited U.S. government websites, affecting an estimated 670,000 Americans with disabilities. Here is how you can help.
- Read the federal accessibility report. The 2025 Governmentwide Section 508 Assessment from the GSA Administrator details the state of federal accessibility compliance and the steps agencies are taking to improve.
- Submit URLs you care about. Want specific government pages included in future scans? Submit them to the Open Scans project to help broaden coverage.
- Test with free tools. Do your own automated and manual accessibility testing with Accessibility Insights and Google Lighthouse. Automated tools catch a significant portion of WCAG failures quickly; manual review with assistive technologies catches the rest.
- Adopt and update the U.S. Web Design System (USWDS). The USWDS is already a strong foundation for accessible, consistent federal websites, but many agencies have not adopted it or are running outdated versions. Encourage your agency to adopt or upgrade so every American benefits from its accessibility work.
- Hire people with disabilities. People with disabilities are the ultimate experts on digital barriers. Bringing them into design, engineering, and testing teams — not just as consultants but as full-time employees — leads to more accessible products and services for everyone.