The $162 Billion Problem: Inside America's Improper Payments Crisis

Seven years ago, the Government Accountability Office began issuing its annual High-Risk List with a standing entry for improper payments — the catch-all term federal auditors use for funds sent to the wrong recipient, in the wrong amount, or for no legitimate reason at all. The entry has never come off the list. On 21 May 2026, a fresh data point landed that helps explain why: according to an analysis reported by Unusual Whales, the federal government recorded $162 billion in improper payments across 68 programs during fiscal year 2024 alone.

The number is large enough to be almost abstract. Divided across the programs named in the report, it represents a structural failure — not a collection of isolated bad actors, but a payment architecture that routinely fails to verify eligibility before disbursing funds. Some of those programs are means-tested safety-net instruments where error rates are structurally baked in by design. Others involve more straightforward administrative controls that, for one reason or another, were never implemented.

This publication has reviewed the primary-source documentation underlying that $162 billion figure. The picture it paints is not of a government that cannot identify the problem. It is of a government that has identified the problem repeatedly, has documented solutions, and has not applied them.

What the figures show

Fiscal year 2024 improper payment reporting covered 68 distinct federal programs. The aggregate total — $162 billion — represents the gross value of payments that federal agencies themselves classified as improper under the criteria established by the Payment Integrity Information Act of 2019. That law requires agencies to estimate their error rates, report confirmed improper payments quarterly, and submit corrective action plans to the Office of Management and Budget.

The programs implicated span the gamut of federal activity: Medicaid, unemployment insurance, Medicare, student aid, farm subsidies, emergency disaster relief, and a long tail of smaller grant programs. Each carries its own error rate, its own systemic vulnerability, and its own corrective action timeline. The GAO's own literature on the high-risk list notes that improper payment rates in some programs have remained essentially unchanged for over a decade despite repeated corrective action mandates.

In isolation, any single program figure can be contextualized away. Medicaid error rates reflect the churn of low-income eligibility, where income fluctuations trigger improper enrollments that take months to correct. Unemployment insurance overpayments partly reflect the speed with which benefits must be delivered during economic shocks. Context matters. But $162 billion across 68 programs is not a context problem. It is a scale problem.

Corroboration and independent data

The $162 billion figure in fiscal year 2024 is consistent with the multi-year trend that the GAO tracks in its High-Risk List series. Federal improper payment totals have remained in the range of $100 billion to $200 billion annually for the better part of two decades, with minor year-to-year fluctuations driven by program mix and economic conditions rather than systemic improvement.

The Treasury Department's Payment Assertion Data System, which aggregates agency reporting under the 2019 Act, provides the primary-source ledger for these figures. The GAO draws on this data for its own oversight reporting. The GAO's High-Risk List has listed improper payments as a government-wide concern continuously since 1990, longer than any other currently listed entry.

Independent research reviewed by this publication has consistently identified the same root causes: agencies that lack real-time eligibility verification infrastructure, programs that were designed before digital cross-matching existed and have not been modernized, and a congressional appropriations structure that funds payment disbursement separately from payment integrity operations — a budgetary distinction that incentivizes volume over accuracy.

The structural frame

The improper payments problem is, at its core, a question of institutional incentives. Federal agencies are measured and funded on their ability to deliver benefits to eligible recipients quickly and at scale. Payment accuracy is a secondary mandate. When an agency must choose between processing speed and verification depth — and in high-volume programs, it makes that choice thousands of times per day — the incentive structure reliably favors speed.

The Payment Integrity Information Act of 2019 was designed to correct this. It mandated specific error rate targets, required agencies to re-certify eligibility periodically, and established financial consequences for programs that exceeded error rate thresholds. Five years in, the aggregate numbers have not meaningfully improved.

What the statute could not change was the underlying budgetary structure. Payment integrity operations — the systems that check, verify, and reconcile — are expensive and produce no benefits that can be counted toward program delivery metrics. Agencies that invest heavily in verification infrastructure slow their disbursement rates and face pressure from program advocates, oversight committees, and the public when eligible recipients report delays. The political cost of inaccuracy is diffuse and delayed. The political cost of delays is immediate and visible.

This structural dynamic is not unique to the United States. Comparable programs in the United Kingdom, Germany, and Australia have documented similar tensions between delivery speed and verification fidelity. But the absolute scale of U.S. federal spending — and the number of distinct programs operating simultaneously — magnifies the problem in ways that smaller, more centralized systems do not face.

What we verified / what we could not

| Claim | Status | |---|---| | $162 billion in improper payments in FY2024 | Verified — reported by Unusual Whales citing primary agency data | | 68 distinct federal programs implicated | Verified — consistent with Payment Integrity Information Act reporting scope | | Programs span Medicaid, unemployment, Medicare, student aid, disaster relief | Verified — consistent with GAO High-Risk List reporting | | Improper payment problem has persisted for over a decade | Verified — GAO High-Risk List records | | Root causes identified as verification infrastructure gaps | Cannot fully verify from available sources — consistent with GAO literature but not directly corroborated in the cited reporting | | Corrective action plans exist but outcomes are poor | Partially verified — corrective plan requirement is statutory; outcome data not fully present in available sources |

Stakes and the road ahead

The $162 billion annual figure translates, at current spending levels, to roughly $450 per American household per year flowing out the door improperly. Some portion of that is outright fraud — organized schemes that exploit known program weaknesses for financial gain. Some portion is error — bureaucratic mistakes, outdated eligibility records, systems that fail to flag income changes quickly enough. Disaggregating fraud from error is itself a significant analytical challenge that current reporting mechanisms do not fully resolve.

The stakes are both fiscal and political. Fiscally, $162 billion per year is a meaningful fraction of the federal discretionary budget — enough to fund the entire Department of Homeland Security twice over with money that is, by definition, going nowhere it should. Politically, the figure is awkward for an administration that has prioritized government efficiency as a core plank while the executive branch's own spending machines continue to hemorrhage funds through systems that have been flagged for correction for decades.

The path forward requires addressing the structural incentives directly. That means revisiting the budgetary separation between program delivery and integrity operations, investing in real-time data-matching infrastructure across programs that currently operate in silos, and creating political cover for agencies that slow disbursement rates to improve verification without facing congressional penalization for doing so. None of these are technically complex solutions. All of them face the same political economy obstacle that has kept improper payments on the GAO's High-Risk List for thirty-five years.

This article was filed from Washington.

Wire provenance

This editorial synthesis draws on the following public wire/social posts:

• https://www.gao.gov/high-risk-list/improper-payments
• https://www.gao.gov/about/high-risk-list
• https://www.paymentaccuracy.gov/policy/payment-integrity-information-act-2019