Public Data Observatory is an independent data consortium dedicated to advancing transparency and analytical clarity across the federal public health infrastructure. Our mission is to close information gaps in public health funding by building integrated, validated, and open-source data systems.
Although federal health data are publicly available, they often exist in fragmented formats that obscure broader insights. We consolidate appropriations, grants, workforce, and program data into a unified analytic framework, making it easier to see how resources are distributed and evolving over time.
By linking funding, staffing, and program information, we help decisionmakers, researchers, journalists, and public health leaders track how federal investments align with statutory responsibilities and real-world needs in surveillance, preparedness, healthcare, and global health security.
We invite everyone, analysts, journalists, policymakers, and engaged citizens, to explore, use, and build upon our data to advance informed public health decisions.
The data contained on this website are primarily drawn from publicly available federal sources and do not include any personally identifiable information. To support transparency, responsible reuse, and proper attribution, the following licensing and citation guidelines apply to all datasets, charts, dashboards, and written content.
All content published by Public Data Observatory is released under a Creative Commons Attribution (CC BY 4.0) license. Users are free to share, adapt, and build upon the material for any purpose, provided appropriate credit is given to Public Data Observatory.
Public Data Observatory (Year of Asset’s Release Date). Title of Asset (version number). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
Public Data Observatory (2026). HHS Appropriations Repository: A Structured Dataset of CDC and HHS Budget Authority, FY2024–FY2027. Version 1.0. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
This project incorporates crowdsourced data that are believed to be accurate to the best of our knowledge at the time of publication. We routinely review and update the data when we discover issues or receive feedback from the community.
If you identify any errors or have suggestions for improvement, please feel free to contact us via email at info@data-obs.org. For those with GitHub, you may also open an issue.
Your input helps us improve the quality and reliability of this project for everyone.