Public benchmark
The size of the problem is documented by an official or otherwise citable source.
Secondary topic guide
Official benchmark pools to help you get oriented. Published proof lives on Findings. Bring a concern when you have a place, program, or source to check.
A benchmark pool explains why a category matters at scale. A real Public Ledger opportunity goes further: specific records, comparison logic, a follow-up step, and work that can be rewarded.
The size of the problem is documented by an official or otherwise citable source.
The records needed to examine a specific case are identifiable, accessible, and linkable.
A reviewer can see what happens next: compare, validate, request, respond, escalate, or pledge support for deeper review.
These categories have broad public appeal, significant dollars at stake, and enough official documentation to justify using them as starting points for source-backed, rewardable review work.
>$495B spent on common products and services in FY 2024
GAO reported that federal agencies spent more than $495 billion on common products and services in fiscal year 2024, while OMB reported more than $111 billion in savings since category management began.
14.41% national UI improper payment rate for the 2024 reporting period
The Department of Labor reported a 14.41% national improper payment rate for unemployment insurance in the 2024 reporting period and publishes state-level drilldowns for follow-up.
$62.8B in Medicare FFS and Medicaid improper payments in FY 2024
CMS reported $31.70 billion in Medicare Fee-for-Service improper payments and $31.10 billion in Medicaid improper payments for fiscal year 2024.
$162B estimated across federal agencies in FY 2024
GAO reported $162 billion in payment errors across the federal government in fiscal year 2024, with most of that estimate concentrated in a small number of major program areas.
A benchmark pool becomes a Public Ledger example only when the source trail, the benchmark, and the follow-up path can all be shown publicly. Until then, these benchmarks explain where to hunt, not a proven finding.