Jim Banks
U.S. Senator · Indiana · Republican
Statements and posts
355 press releases, floor remarks and posts since Jan 3, 2025.
Pick a week or a day to set the dates below. One count per message: copies of one post on X and Bluesky count once, and reposts aren’t counted. Shading is scaled to Banks’s own volume over the last 12 months (a typical active day = 1). May 18, 2026 – Aug 9, 2026.
3 statements, May 19, 2025 – May 25, 2025
Newest first-
Press release
Official
Senator Banks’ Remarks on Golden Dome, President Trump’s Tariffs in the Oval Office
Click image above to watch full clip WASHINGTON, D.C, – Today, Senator Jim Banks (R-Ind.) joined President Trump in the Oval Office for the announcement of the “Golden Dome” and delivered remarks on how the program and President Trump’s…
“Your legacy with Space Force, Mr. President is already big but the Golden Dome is going to be an even bigger legacy for our country and Indiana is going to help you make it. The space satellites that are made in Fort Wayne, Indiana by L3Harris.”
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Press release
Official
Senator Banks Introduces the No Loan Forgiveness for Terrorists Act
Today, Senator Jim Banks (R-Ind.) introduced the No Loan Forgiveness for Terrorists Act.
“Taxpayers shouldn’t be forced to pay student loans for radicals who aid terrorists, mutilate children, or promote illegal immigration. This bill codifies President Trump’s order to stop subsidizing anti-American extremism.”
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Press release
Official
Senator Banks Introduces Legislation to Improve Federal Benefits Access, Reduce Fraud
Yesterday, Senator Jim Banks (R-Ind.) introduced Timely Access to Benefits(TAB) Act.
“Hardworking Americans want a government that delivers benefits quickly to those who qualify. This legislation protects taxpayer dollars and modernizes outdated systems to stop waste, fraud, and abuse.”
Sources: members’ press releases from their official websites (since the 119th Congress began (Jan 3, 2025)), the Congressional Record (since Aug 2026), and Bluesky posts. Quotes are shown only when they match the archived source text word for word; topics are AI-read and mentions are matched from the text.