SB406 Making an appropriation to the city of Nashua for the purpose of purchasing the former Daniel Webster College property.
Making an appropriation to the city of Nashua for the purpose of purchasing the former Daniel Webster College property.
Impact Score — How Does This Bill Affect You?
Overall Impact Score
Mixed
Scale: 1 (harmful) to 10 (beneficial)
Your Wallet
Would have required state spending but could generate long-term economic returns for Nashua.
Your Community
Repurposing a vacant college campus could revitalize the area and provide community resources.
Your Freedom
No direct impact on individual rights.
Status
Inexpedient to Legislate, Regular Calendar 16Y-7N, Motion Adopted === BILL KILLED ===; 02/05/2026; Senate Journal 3
Voted Yes
0 R
Voted No
0 R
Sponsor
Cindy Rosenwald (D)
The Short Version
Would have appropriated state funds for Nashua to purchase the former Daniel Webster College property. Killed in the Senate. The property could have been repurposed for community use, education, or economic development.
Who's Behind This Bill?
Who Benefits
- ▲ City of Nashua
- ▲ Nashua area residents
- ▲ Potential users of the repurposed property
Who Pays the Price
- ▼ State taxpayers funding the appropriation
Roll Call Detail (2 votes)
Every recorded floor vote on this bill, with each legislator's individual vote. Click a name to see that rep's full record.
Who actually supports this bill?
Across the 2 recorded votes on this bill — counting each legislator's net direction and treating kill motions as opposing the bill — Republicans opposed it ( 16 against ) , and Democrats supported it ( 7 for ) .
"Supporting" means voting for passage OR voting against a kill motion. "Opposing" is the inverse. Concurs and amendment-only votes don't count.
YES = Kill the bill. NO = Keep the bill alive.
Show all 24 individual votes
Voted Yea (16)
Voted Nay (7)
YES = Yes. NO = No.
Show all 24 individual votes
Voted Yea (16)
Bill statuses as of May 2026. Check LegiScan or NH General Court for the latest.
This bill was auto-scored using AI analysis of the bill text and legislative data. Scores may be refined as we review more bills.