Congress is out of session until Monday, November 9 for the midterm campaign. No new roll-call votes until then; the last were the House on Sep 16 and the Senate on Sep 30.

Statements and posts

333 press releases, floor remarks and posts since Jan 3, 2025.

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Activity, last 12 weeks

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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 Schumer’s own volume over the last 12 months (a typical active day = 1). Aug 17, 2026 – Nov 4, 2026.

2 statements, Aug 25, 2025 – Aug 31, 2025

Newest first
  1. Press release

    Official

    AS FALLOUT FROM TRUMP’S MEDICAID CUTS THREATENS HEALTHCARE FOR OVER 30,000 IN THE CAPITAL REGION, SCHUMER ANNOUNCES NEW BILL TO REVERSE GOP MEDICAID CUTS, PROTECT RURAL HOSPITALS, LOWER HEALTHCARE...

    Introduced bill to reverse GOP Medicaid cuts and protect rural hospitals in New York.

    “Trump’s ‘Big, Ugly Betrayal’ is one of the most devastating bills for Capital Region healthcare we’ve ever seen. More than 30,000 New Yorkers in the Capital Region and thousands more in the Mohawk Valley are expected to lose healthcare, with our rural communities hit the hardest”
  2. Press release

    Official

    Armed Forces and National SecurityMilitary Readiness

    “HOOAH!!” FOLLOWING HIS PUSH, SCHUMER ANNOUNCES ARMY’S COMPLETE REVERSAL ON MISGUIDED PLANS TO SHUT DOWN THE POPULAR AND EFFECTIVE ROTC UNIT AT CLARKSON UNIVERSITY FOR NORTH COUNTRY CADETS

    Announced Army reversed plan to shut down Clarkson University's ROTC program following his advocacy.

    “As they say in the Army: Hooah! We have saved the excellent Army ROTC program at Clarkson University. When I heard this hasty and misguided plan, I immediately began pushing at all levels to protect this beloved ROTC for the North Country.”

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.