Skip to content
Surf Wiki
Save to docs
general

From Surf Wiki (app.surf) — the open knowledge base

Brian J. McLaughlin

Brian J. McLaughlin (born ca.1957) is a former member of the Boston City Council, having held the District 9 seat from 1984 through 1995.


Brian J. McLaughlin
McLaughlin (ca.1984–1987)
In office1984–1995
district created
Brian Honan
ca.1957
Stonehill College

Brian J. McLaughlin (born ca.1957) is a former member of the Boston City Council, having held the District 9 seat from 1984 through 1995.

McLaughlin graduated from Stonehill College in Easton, Massachusetts, and before running for office was a community organizer, mainly on housing issues.

McLaughlin was first elected to the City Council in November 1983, representing District 9 (Allston–Brighton). He was subsequently re-elected five times, each term being for two years. His November 1987 victory was quite narrow; after finishing second in the preliminary election, McLaughlin won the general election by only 121 votes (4,627 to 4,506), with a recount later confirming his win. His November 1993 re-election also had to be confirmed by a recount. During his time on the council, McLaughlin was a strong advocate of rent control.

In March 1995, McLaughlin announced that he would not seek re-election. He later became executive secretary of the Boston Parks and Recreation Commission.

  • Boston City Council election, 1983

  • Boston City Council election, 1985

  • Boston City Council election, 1987

  • Boston City Council election, 1989

  • Boston City Council election, 1991

  • Boston City Council election, 1993

  • McLaughlin election records at ourcampaigns.com

Want to explore this topic further?

Ask Mako anything about Brian J. McLaughlin — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report