About

Freight fraud is discussed widely, but the available public evidence is fragmented. Freight Fraud Index publishes a quarterly, source-first view of reported cargo theft and freight fraud affecting the U.S. freight system. It keeps different datasets separate, states their geography and limitations, and gives reporters, analysts, and policymakers evidence they can trace and cite.

How we keep it credible

Credibility comes from showing the work. Three commitments hold us to that:

• Every figure cites a source. If a number appears on this site, it has a traceable origin you can check yourself. See the full source list.
• The method and its limitations are public. Metric definitions, geographic scope, derivations, reporting gaps, and revisions are documented on the methodology page. A former experimental composite is archived solely for transparency and is not published as a current score.
• Quarterly snapshots are versioned. Material corrections are dated and explained in the changelog so that published citations never change silently.

Who builds this

Freight Fraud Index is built and maintained by Tobechukwu Onuegbu, a software engineer with nearly ten years building production systems across payments, fintech, and freight technology. He works on freight and logistics software at Class8 (formerly FleetOps), including carrier onboarding, freight optimization, and ELD compliance tools for North American carriers. Earlier, he built consumer-payments products at Interswitch (Quickteller) and regulatory/CBDC technology at EmTech for central banks in Africa and the Caribbean.

The Index started from a practical frustration: U.S. cargo theft and freight fraud impose substantial losses on the supply chain, yet the public picture is scattered across press releases, annual reports, and paywalled datasets. Freight Fraud Index brings separately attributed figures from CargoNet, the FBI's IC3, the U.S. Department of Transportation, and other identified sources into a quarterly public-data publication. It does not add together or mathematically combine incompatible reporting systems. It does not sell a fraud-prevention product, and it has no stake in the figures running high or low. The job is to keep the evidence honest, the sources visible, and the method open to scrutiny.

The goal is straightforward: make reported freight-fraud and cargo-theft evidence easier to find, understand, compare, and cite.

Contact

Questions, corrections, or data tips are welcome. Reach Tobechukwu at tobe.dev.labs@gmail.com.