By the time when President Donald Trump regained his post, legislators announced nearly $ 700 billion in financing for projects related to infrastructure and climate under a law law passed during the Biden Administration- the law to reduce inflation and the infrastructure law. These funds promised all types of community and local projects, from clean energy initiatives to water system promotions.
Some of these projects received their financing. In fact, some have been completed. But in light of the freezing of the Trump administration on many Federal financing forms, The future of money that has not been distributed is not clear.
What are the types of climate projects and infrastructure announced in your community and all over the country? Which of them may now be in danger? You can now use your postal code to find out.
To understand the classes of these distinctive legislation, GRIT has developed a tool that combines information across multiple data groups to detect the place where more than $ 300 billion of money promised under legislation throughout the United States has been granted. Enter the postal code, city name, or another location in the search box below to discover projects inside any radius from the area you have chosen.
Each point can be clicked on the map to detect detailed information about the financing amount, description of the project and an implementation agency. Expand the spreadsheet to learn more or download the search results. Wherever it is possible, the projects are related to the rules of federal spending data that indicate whether or not the money has been spent.
Data that operates the tool between the information from the archived federal websites, the current government data portals, and the independent data. The GRIT data team cleaned, unified and integrated these different data groups to create a comprehensive vision of federal infrastructure spending under the Act of Inflation and Infrastructure Law. For more information about our methods, access to the basic code, detailed documents on data processing and mapping, please visit the open source A warehouse.
