vital-scans open quality ledger

data.healthcare.gov: Lighthouse — week 2026-W38

136 pages sampled by Google Lighthouse (its own headless Chrome). Scores are 0–100 (higher is better); metrics are Core Web Vitals. Download: CSV (per-page scores) · JSON (AI-ready, includes recommendations) · Priority pages CSV · Priority pages JSON.

Trend

Lighthouse category scores over 17 weeks
Performance Accessibility Best practices SEO W24W32W401000
Lighthouse category scores by week
WeekPerformanceAccessibilityBest practicesSEO
2026-W241097100100
2026-W25697100100
2026-W26797100100
2026-W27997100100
2026-W28697100100
2026-W291897100100
2026-W30897100100
2026-W31897100100
2026-W32997100100
2026-W33797100100
2026-W342297100100
2026-W351997100100
2026-W362397100100
2026-W371297100100
2026-W382997100100
2026-W392897100100
2026-W401597100100

History & Trends → Severity, Lighthouse and other measures across 17 weeks.

Performance impact

How far pages fall short of Google's "good" benchmarks: Largest Contentful Paint ≤ 2.5s and page weight ≤ 1.6 MB. Lower is better.

Avg extra LCP over 2.5s
14.0s 136/136 pages over
Avg extra weight over 1.6 MB
1.33 MB 149/149 pages over

Set page_loads_per_week for this target to also estimate total wasted time and data (the way daily-dap uses traffic counts).

Medians across sampled pages

Performance
29/100
Accessibility
97/100
Best practices
100/100
SEO
100/100
Agentic browsing
54/100
Largest Contentful Paint
16.5s
First Contentful Paint
10.7s
Speed Index
10.7s
Total Blocking Time
0.6s
Cumulative Layout Shift
0

Recommendations

Issues Lighthouse flagged across the 136 sampled page(s), beyond the headline scores — grouped by category and ranked by how many pages they affect. Estimated savings (transfer bytes or load time) are Lighthouse's own estimates where available. Accessibility audits are intentionally omitted; they overlap with the axe-core findings on the Accessibility page.

Performance

Performance recommendations from Lighthouse, by sampled pages affected.
RecommendationPagesEst. saving
Reduce unused JavaScript 136/136 156.7 MB · 781.2s
Render-blocking requests 136/136 465.3s
Reduce unused CSS 136/136 12.2 MB · 83.3s
Minify JavaScript 136/136 1001 KB · 6.3s
First Contentful Paint 136/136 —
Largest Contentful Paint 136/136 —
Speed Index 136/136 —
Time to Interactive 136/136 —
Page prevented back/forward cache restoration 136/136 —
Network dependency tree 136/136 —
Reduce JavaScript execution time 134/136 86.3s
Minimize main-thread work 133/136 86.3s
Font display 123/136 7.4s
Use efficient cache lifetimes 95/136 21.1s
Max Potential First Input Delay 94/136 —
Improve image delivery 92/136 13.8s
Total Blocking Time 86/136 —
Layout shift culprits 74/136 —
Legacy JavaScript 55/136 8.0s
Forced reflow 35/136 —
Initial server response time was short 19/136 1.8s

Best Practices

Best Practices recommendations from Lighthouse, by sampled pages affected.
RecommendationPagesEst. saving
Missing source maps for large first-party JavaScript 136/136 —
Uses third-party cookies 15/136 —
Issues were logged in the `Issues` panel in Chrome Devtools 15/136 —

SEO

SEO recommendations from Lighthouse, by sampled pages affected.
RecommendationPagesEst. saving
Links are not crawlable 8/136 —
Links do not have descriptive text 6/136 —
Document does not have a valid `rel=canonical` 3/136 —

Agentic (AI-readiness)

Agentic (AI-readiness) recommendations from Lighthouse, by sampled pages affected.
RecommendationPagesEst. saving
WebMCP tools registered 136/136 —
WebMCP form coverage 136/136 —
WebMCP schemas are valid 136/136 —
llms.txt follows recommendations 136/136 —
Cumulative Layout Shift 74/136 —
Accessibility tree is not well-formed 11/136 —

What the Agentic score means

The Agentic (AI-readiness) score is new in Google Lighthouse (13.4+). It measures how well a page works for AI agents and assistants — the tools that increasingly mediate how people find and use government services. It checks for things like an llms.txt file (a machine-readable guide for language models), valid structured data, a well-formed accessibility tree that agents can parse, and WebMCP tool/form descriptions. A higher score means an AI assistant is more likely to understand the page and complete tasks on a citizen's behalf correctly.

It is experimental and evolving; treat it as a forward-looking signal, not a compliance requirement. Median across sampled pages: 54/100.

Gaps found on the sampled pages: WebMCP tools registered (136), WebMCP form coverage (136), WebMCP schemas are valid (136), llms.txt follows recommendations (136), Cumulative Layout Shift (74), Accessibility tree is not well-formed (11).

Per-page results

Lighthouse scores and Core Web Vitals per sampled page (2026-W38). Agentic = experimental agentic-browsing score. PWA / offline readiness is tracked in the Standards tab (Lighthouse 12+ removed the PWA category). — click a column heading to sort
/dataset/wudg-eius10971001005210.6s16.5s10.6s1.0s0.891
/dataset/na7e-pbra559710010010014.8s17.8s14.8s0.1s0
/dataset/i982-vm9r397771005210.7s15.7s10.7s2.8s0.854
/dataset/aue3-def611971001005210.5s16.6s10.5s0.9s0.859
/dataset/yaaf-rjhy559710010010014.7s18.5s14.7s0.0s0
/datasets30951001002910.5s12.2s10.5s0.6s0.216
/dataset/3eup-hrj415971001006110.7s14.7s10.7s1.0s0.433
/dataset/0a973ff8-9926-49c5-91e1-ee6c9c1288e155977710010014.7s18.8s14.7s0.1s0
/dataset/8060e816-b052-42b3-ad60-9eac699d7c8b54977710010014.6s18.7s14.6s0.1s0
/about411001009210010.7s12.4s10.7s0.6s0.009
/dataset/jzae-njub191001001005410.5s16.1s10.5s0.5s0.703
/dataset/mp8z-jtg78971001005110.6s14.2s10.6s1.1s1.249
/dataset/ehha-ptm65971001005210.6s16.1s10.6s1.6s0.959
/dataset/3eup-hrj4559710010010014.6s17.5s14.6s0.1s0
/dataset/cqrd-buzn11971001005210.6s16.0s10.6s0.9s0.908
/dataset/bzfi-sbe431971001005412.7s16.5s12.7s0.1s0.688
/dataset/AB-Registration-Completion-List/wb6u-x2ny/data55971009210016.8s20.1s16.8s0.0s0
/dataset/nyb9-erui5971001005111.4s14.7s11.4s1.5s1.205
/dataset/e614aeb8-580e-4aae-9140-cf55b4a22180559710010010014.7s18.8s14.7s0.1s0
/dataset/abhi-yds7549710010010014.5s18.4s14.5s0.1s0
/dataset/xawq-c9wn559710010010014.8s18.3s14.8s0.1s0
/dataset/w456-edbt549710010010014.7s18.3s14.7s0.1s0
/dataset/afk4-e2ai559710010010014.6s18.2s14.6s0.1s0
/dataset/ca253298-c4ef-4a77-9c44-0de0bbe9194118971001006210.7s14.3s10.7s0.8s0.414
/dataset/iwmd-wduj559710010010014.6s18.1s14.6s0.1s0
/dataset/dvpf-jb7v40977710010014.6s18.6s14.6s0.6s0
/dataset/2jt4-zy24559710010010014.7s18.0s14.7s0.1s0
/dataset/dyfq-xqx77971001005110.6s16.0s10.6s1.3s1.248
/dataset/9dbef2bc-2fab-4700-8cf3-5501f63c58c3559710010010014.6s18.3s14.6s0.1s0
/dataset/3ddf85bc-f71b-4417-b271-410cbf9e0905349710010010010.6s14.5s10.6s1.0s0
/dataset/qpmu-mh2y14971001005210.5s16.5s10.5s0.7s0.839
/dataset/hrtn-a9fq549710010010014.7s18.6s14.7s0.1s0
/dataset/w46c-tnzb549710010010014.6s17.9s14.6s0.1s0.015
/dataset/bzfi-sbe49971001005210.6s16.5s10.6s1.1s0.915
/dataset/3ddf85bc-f71b-4417-b271-410cbf9e090511971001005210.6s14.8s10.6s0.9s0.825
/dataset/3edfe68f-b783-4e98-9120-20014dd0fe4915971001005110.5s16.6s10.5s0.6s1.277
/datasets5195100925012.7s14.3s12.7s0.3s0
/dataset/ciet-nbd915971001005210.6s15.0s10.6s0.7s0.914
/dataset/46fdeb9e-921a-4141-a231-1bbe3dd14f61549710010010014.7s18.3s14.7s0.1s0
/dataset/af1301a6-77fb-4369-a157-09125608161d559710010010014.5s18.2s14.5s0.1s0
/dataset/3edfe68f-b783-4e98-9120-20014dd0fe4930971001005112.6s15.8s12.6s0.1s1.278
/dataset/mudy-c8dk5410010010010014.8s17.7s14.8s0.1s0
/dataset/af1301a6-77fb-4369-a157-09125608161d10971001005310.6s16.5s10.6s1.0s0.795
/dataset/46fdeb9e-921a-4141-a231-1bbe3dd14f61539710010010014.6s18.0s14.6s0.2s0
/dataset/mfay-6hbn559710010010014.7s18.5s14.7s0.1s0
/dataset/nu23-uv2y14971001005112.7s15.9s12.7s0.6s1.248
/dataset/f7eh-7sxu42977710010014.7s18.8s14.7s0.5s0
/ab-registration-completion-list26971001007810.7s14.5s10.7s0.8s0.219
/dataset/2z8b-yxem10971001005110.7s13.6s10.7s0.9s1.248
/dataset/ia68-8jye11971001005010.5s14.4s10.5s0.8s1.526
/dataset/55c47876-cfdd-438c-964e-7f88093b7ef2359710010010010.7s16.5s10.7s0.9s0.033
/dataset/e8uy-7rnp4897771009817.1s21.3s17.1s0.3s0.073
/dataset/8kxw-8r6g50977710010014.4s19.6s14.4s0.3s0
/dataset/kz5p-dvnx549710010010014.7s18.4s14.7s0.1s0
/dataset/6df89be6-915d-4c0d-b53e-e1bf9cb4eab617971001005410.6s16.7s10.6s0.6s0.689
/dataset/0953b9c0-0843-4f41-88e9-cc44aed144073497771009914.6s18.0s14.6s0.9s0.062
/dataset/vbuh-eeh3141001001005310.5s12.9s10.5s0.7s0.719
/dataset/AB-Suspension-and-Termination-List/e8uy-7rnp/data3897100928910.6s15.2s10.6s0.5s0.144
/dataset/86mw-kems529710010010014.7s17.9s14.7s0.2s0
/dataset/7wqt-7ky9559710010010014.8s18.5s14.8s0.1s0
/dataset/rtj8-qhma559710010010014.6s18.5s14.6s0.1s0
/dataset/qjjv-y5nm13971001005710.6s16.5s10.6s0.9s0.531
/dataset/kxp2-7zyr5510010010010014.7s17.9s14.7s0.1s0
/dataset/42a3801a-841f-43d9-b878-95b7a19a08b5131001001005310.5s15.7s10.5s0.8s0.763
/dataset/7wqt-7ky912971001005410.6s16.7s10.6s0.9s0.711
/dataset/3ddf85bc-f71b-4417-b271-410cbf9e09059971001005110.7s16.6s10.7s1.0s1.036
/datasets2795100832910.8s12.9s10.8s0.7s0.216
/dataset/pwit-ub856971001005110.5s15.6s10.5s1.4s1.219
/dataset/ajej-zg7p10971001005110.6s15.0s10.6s0.9s1.277
/dataset/2638f347-5311-4655-8d2b-1466848adeae24971001007910.7s15.0s10.7s1.0s0.215
/dataset/ia68-8jye6971001005110.6s14.3s10.6s1.4s1.306
/dataset/dwyq-rebe17971001005910.5s16.2s10.5s0.8s0.478
/dataset/8c491ff0-8e6e-4988-b02a-e4736783aed39971001005110.5s16.0s10.5s1.0s1.307
/dataset/116335a2-6251-4576-96d0-c5919817381f151001001005410.6s14.3s10.6s0.7s0.679
/dataset/7h6f-vws8549710010010014.6s17.8s14.6s0.1s0
/dataset/bbc5e308-377c-4a05-830e-0ef9b893dc01559710010010014.8s18.6s14.8s0.1s0
/dataset/0063b2e0-f674-4c04-91a4-380d71f613ee549710010010014.7s18.1s14.7s0.1s0
/datasets55951001005014.8s17.7s14.8s0.0s0
/datasets5395100835014.8s17.7s14.8s0.2s0
/dataset/a2tn-wyd57971001005110.5s14.2s10.5s1.2s1.306
/ab-suspension-and-termination-list33971001008910.5s14.3s10.5s0.7s0.144
/dataset/efch-75vp11971001005210.7s14.8s10.7s0.9s0.858
/dataset/skyj-46j631971001005312.8s15.9s12.8s0.1s0.791
/dataset/e614aeb8-580e-4aae-9140-cf55b4a2218010971001005310.6s16.4s10.6s1.0s0.778
/dataset/e4rr-zk4i497771005110.8s14.0s10.8s1.9s1.306
/dataset/dsiy-9knw5510010010010014.6s18.2s14.6s0.1s0
/datasets2395100831610.5s12.9s10.5s0.7s0.347
/dataset/h2na-k6uv497771005010.6s18.0s10.6s1.6s1.397
/dataset/r3nu-ebdw13971001006010.6s14.9s10.6s1.0s0.464
/dataset/nuhs-jx5b5510010010010014.3s17.5s14.3s0.0s0
/dataset/nc54-t2vu3971001005010.5s13.7s10.5s1.9s1.537
/dataset/e5af98d2-deda-48c2-a6e3-4be667f938d3181001001005310.7s16.0s10.7s0.6s0.793
/dataset/dtns-y2t81397771005414.5s18.4s14.5s0.8s0.711
/datasets1795771002910.3s12.5s10.3s2.2s0.216
/dataset/c75bbb11-b640-4022-bd19-547ff6a1b2f7121001001005210.5s16.4s10.5s0.8s0.815
/dataset/ajej-zg7p16971001005110.2s15.5s10.2s0.6s1.278
/dataset/hrtn-a9fq11971001005110.6s18.7s10.6s0.8s1.219
/dataset/752w-f3nq4210010010010010.5s16.0s10.5s0.6s0.015
/dataset/tfna-vz765971001005010.5s14.2s10.5s1.4s1.468
/dataset/8060e816-b052-42b3-ad60-9eac699d7c8b1097771006510.3s14.0s10.3s2.0s0.366
/dataset/ci52-tugt7971001005510.6s14.3s10.6s1.5s0.606
/dataset/rtj8-qhma13971001005110.6s16.6s10.6s0.7s1.084
/dataset/dxg8-kay349977710010014.6s18.7s14.6s0.3s0
/dataset/55c47876-cfdd-438c-964e-7f88093b7ef2559710010010014.6s18.3s14.6s0.1s0
/dataset/jnky-88cv46977710010014.8s18.8s14.8s0.4s0
/dataset/w456-edbt10971001005210.6s16.5s10.6s0.9s0.914
/dataset/w8x9-aq6p559710010010014.3s17.8s14.3s0.1s0
/dataset/wrir-p5fi10971001005110.5s16.4s10.5s1.0s1.085
/datasets5395100925014.6s17.5s14.6s0.2s0
/dataset/2s43-xj6q11971001005210.6s16.5s10.6s0.9s0.892
/datasets5595100835014.6s15.7s14.6s0.0s0
/dataset/mfay-6hbn11971001005210.6s15.9s10.6s0.9s0.859
/dataset/ncbw-vdsn419710010010010.3s15.9s10.3s0.6s0
/dataset/3ddf85bc-f71b-4417-b271-410cbf9e09059971001005210.7s16.4s10.7s1.1s0.826
/dataset/bx9c-fkxn10971001005110.5s16.2s10.5s1.0s1.221
/dataset/afk4-e2ai8971001005210.7s14.4s10.7s1.1s0.838
/dataset/aue3-def615971001005210.6s16.6s10.6s0.7s0.858
/dataset/86mw-kems559710010010014.7s18.3s14.7s0.1s0
/dataset/dyfq-xqx712971001005110.5s15.7s10.5s0.8s1.204
/datasets4495100835010.7s12.9s10.7s0.5s0.001
/dataset/ymjk-c2ng549710010010014.8s18.3s14.8s0.1s0
/dataset/vrx7-jeec7971001005110.5s14.3s10.5s1.2s1.249
/dataset/7956-2yzc14971001005410.5s15.9s10.5s0.8s0.711
/dataset/cpmk-xcsy13971001006710.5s14.7s10.5s1.5s0.34
/dataset/735facd9-1df8-400e-b650-da881c728a2b5510010010010014.8s18.0s14.8s0.1s0
/dataset/gtdq-nxgh559710010010014.7s18.6s14.7s0.1s0
/dataset/r9nw-xrew10971001005210.6s16.8s10.6s1.0s0.892
/dataset/3nee-n9ij549710010010014.8s18.5s14.8s0.1s0
/dataset/596f82b3-d48c-436f-9c84-6b195b05441c11971001005010.5s16.5s10.5s0.8s1.536
/dataset/6z38-ihx4559710010010014.8s18.3s14.8s0.1s0
/dataset/t29b-tixn3910010010010010.6s14.2s10.6s0.7s0
/dataset/ad5c073e-8451-4378-b3d8-4ba189f29cfe6971001005410.7s16.3s10.7s1.5s0.69
/dataset/ss3e-3mza539710010010014.6s18.7s14.6s0.2s0
/dataset/9hay-v3sx549710010010014.7s18.4s14.7s0.1s0
/dataset/9hay-v3sx539710010010015.1s18.6s15.1s0.1s0.044
/datasets5595100835014.6s16.0s14.6s0.1s0