Healy, Trump Approval & Issues - February 24, 2025

February 24, 2025

 

Word cloud (right): What one word would you use to describe Governor Maura Healey?

 

Toplines and crosstabs linked below.

Healy
Table of contents

Toplines and Crosstabs

Poll Highlights and Press Release

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Highlights

 

  • New UMass Amherst/WCVB Poll Finds Gov. Maura Healey Maintains Support Among Bay State Voters, though Cracks Emerge
  • The statewide poll also finds President Trump deeply unpopular, as the commonwealth’s officials receive strong support in their attempts to fight back against the president
press

   

   Press Release

 

 

Healy approve
approve trump

Poll Contact and Methods

contact

   Poll Contact

   Tatishe Nteta (nteta@umass.edu)

 

methods

   

   Methods

 

Field Dates: February 14 –20, 2025    |    Sample: 700 Respondents    |    Margin of Error: 4.8%

YouGov interviewed 733 Massachusetts (MA) respondents who were then matched down to a sample of 700 to produce the final dataset. The respondents were matched to a sampling frame on gender, age, race, and education. The sampling frame is a politically representative "modeled frame" of MA adults, based upon the American Community Survey (ACS) public use microdata file, public voter file records, the 2020 CurrentPopulation Survey (CPS) Voting and Registration supplements, the 2020 National Election Pool (NEP) exit poll, and the 2020 CES surveys, including demographics and 2020 presidential vote.

The matched cases were weighted to the sampling frame using propensity scores. Thematched cases and the frame were combined, and a logistic regression was estimated forinclusion in the frame. The propensity score function included age, gender, race/ethnicity, years of education, and home ownership. The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles.

The weights were then post-stratified on home ownership, 2020 and 2024 presidential vote choice as well as a four-way stratificationof gender, age (4-categories), race (2-categories), and education (4-categories), and a two-way post-stratification on race (4-categories), and education (4-categories), to produce the final weight