Plans by Sponsor: R

Why Form 5500 Data Matters for Retirement Planning

Form 5500 is the annual return that virtually every private-sector retirement plan in the United States files with the Department of Labor. The filing covers funding, participant counts, plan investments, fees, service providers, and corrective contributions. Because the data is collected for regulatory oversight rather than marketing, it is one of the most consistent windows into the retirement economy: the same questions are asked of plans across all industries and all states, year after year. That consistency makes it possible to compare plans, sponsors, and markets on equal footing — a kind of comparability that voluntary survey data and vendor brochures cannot provide.

PlainRetire reorganizes the Form 5500 universe so a participant, employer, or analyst can ask everyday questions of the dataset without reading thousands of pages of agency documentation. Browsing by state surfaces concentration patterns: where pension assets sit, which states host the largest 401(k) sponsors, where retirement coverage trails the national average. Browsing by industry reveals the structural difference between sectors that historically relied on defined-benefit pensions and sectors that adopted defined-contribution plans early. Browsing by plan size highlights both the largest sponsors — typically Fortune 500 employers and multi-employer Taft–Hartley funds — and the long tail of small plans that collectively cover millions of workers.

What This Hub Page Aggregates

Each hub page on PlainRetire is a navigable index into the underlying database. The page shows summary counts, the most recent Form 5500 vintage, and direct links to individual plan detail pages. Detail pages carry the canonical filings, schedules where applicable, and audit trail back to the DOL's EFAST2 disclosure portal. Where the underlying dataset supports it, hub pages also expose key aggregates: total participant counts, aggregate assets, plan-type breakdowns (401(k), pension, profit-sharing, ESOP), and changes over the most recent reporting period.

Plan data is updated as DOL releases new annual Form 5500 datasets. Filings have a roughly seven-month lag from plan year end, so the most recent vintage typically reflects the previous full calendar year. This lag is inherent to the disclosure regime — plans are given time to gather audit reports and service-provider statements — and PlainRetire reflects the timing transparently rather than backfilling estimates.

Reading the Data With Appropriate Caveats

Aggregate numbers are useful for trend-spotting and structural comparison; they are less useful for decisions about a specific plan. The participant count for a state, for instance, includes both very large plans (which dominate the total) and very small plans (which influence median but not mean). When evaluating a specific employer's plan, drill into the plan detail page and consider plan-type, asset-mix, fee structure, and audit history — these details are flattened in any hub-level aggregate. Where regulatory updates change the categorization of a plan, PlainRetire preserves the historical filing alongside the most recent one so longitudinal analyses remain valid.