Joe Neguse
U.S. Representative · CO-2 · Democrat
Statements and posts
197 press releases, floor remarks and posts since Jan 3, 2025.
Activity, last 12 weeks
0123+
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 Neguse’s own volume over the last 12 months (a typical active day = 1). Aug 17, 2026 – Nov 3, 2026.
3 statements, Apr 7, 2025 – Apr 13, 2025
Newest first-
Press release
Official
Today, Democratic Representatives Joe Neguse, Seth Magaziner, Mike Levin, Steven Horsford, Alexandria Ocasio-Cortez and David Min penned a letter to Speaker Mike Johnson requesting that he call on every member of the House of…
“It would be unconscionable for any Member of Congress to use their personal position to benefit financially, especially in a time where Americans across the country are experiencing financial chaos”
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Press release
Official
Congressman Joe Neguse (CO-02), Ranking Member of the Federal Lands Subcommittee, and Senators Michael Bennet and John Hickenlooper called for immediate clarification regarding recent announcements from the Trump Administration that nearly…
“We write requesting immediate clarification regarding recent announcements from the Administration on the planned termination of nearly twenty facility leases in Colorado.”
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Press release
Official
Neguse joined fellow House Democrats in championing Rep. McIver’s Model Employee Reinstatement for Ill-advised Termination (MERIT) Act, to reinstate federal employees, including probationary workers who were recently promoted or hired, who…
“For communities like mine, in Northern Colorado and across the Western Slope, federal workers play an integral role in preserving our state’s treasured spaces and natural resources.”
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.