Organizations and entities receiving public funds across the tracked jurisdictions.
This directory groups payees by the government sources that reported paying them, drawing on datasets collected from the United States, Australia, the United Kingdom, Greece, and the City of Chicago, State of Alaska, and State of Massachusetts.
Where public money goes worldwide
Payee records here are drawn from the same jurisdictional datasets published on the Payers and Payments pages. Each payee entry links back to the underlying payment records that name it as a recipient of public funds, so figures and dates can be traced to their originating dataset rather than presented as a single unified total.
The payees directory on Publicspending.net offers a structured window into the organizations and entities that receive public funds across the jurisdictions the platform tracks. Drawing from datasets spanning the United States, Australia, the United Kingdom, Greece, the City of Chicago, the State of Alaska, and the State of Massachusetts, this section groups recipients according to the government sources that reported paying them. By organizing payee records in this way, the site makes it easier for researchers, journalists, and engaged citizens to trace where public money ultimately lands, connecting each recipient back to the payment records that name it as a beneficiary.
Understanding who receives public funds is essential to any meaningful analysis of government spending. The payee records presented here are drawn from the same jurisdictional datasets featured on the Payers and Payments pages, ensuring consistency across the platform. Each payee entry links back to the underlying payment records that identify it as a recipient, allowing visitors to follow the money from its origin through to its final destination. This interconnected structure reflects the team's broader engineering focus on building meaningful relationships between disparate data points rather than presenting isolated figures.
The scope of the payee data spans both governmental and nongovernmental recipients, reflecting the diversity of entities that interact with public budgets. From large institutions to smaller organizations, the directory captures a wide spectrum of recipients across economic categories and geographic boundaries. The team's ongoing work includes developing algorithms to unify company names and entity classifications, referencing standards such as CPV and NAICS codes to enrich expenditure records. These efforts aim to make comparisons across jurisdictions more practical, even when different governments use different naming conventions or classification systems for the same types of recipients.
For those interested in global transparency, the payees page serves as a complementary resource to the broader datasets available on the site. The information is presented in a format that supports both casual browsing and more rigorous analysis, with download and reuse capabilities built into the platform. As the dataset continues to grow and evolve, the payees section will expand alongside it, incorporating new jurisdictions and refining the connections between payers, payments, and recipients. By keeping the focus on interconnections and meaningful context, the site aims to turn raw expenditure records into a resource that helps people worldwide follow the trillions with greater clarity.
Payees recorded in federal spending data covering 2009–2012.
Payees drawn from records spanning February 2006 to November 2012.
Payees from data covering April 2010 through December 2012.
Payees sourced from the Diavgeia transparency program, October 2010–November 2012.
Payees listed in records covering 2010–2012.
Payees drawn from records spanning January 1993 to February 2013.
Payees from data covering July 2007 to March 2013.
Where a payee corresponds to a company tracked in the Forbes Global 2000, its records here are interlinked with that company information, allowing payments to the same organization across different jurisdictions to be connected.
Because government sources often report the same organization under slightly different names, the underlying research applies algorithms designed to unify these variant company names into a single identifiable payee.