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Clinton leads in Massachusetts by 32 points in new Boston Globe/Suffolk poll


Boston Globe/Suffolk released the results of a new poll, in which respondents from Massachusetts were asked for whom they will vote: Democrat candidate Hillary Clinton or Republican candidate Donald Trump.

Boston Globe/Suffolk poll results




Of those who responded, 57.0% said that they will vote for former First Lady Hillary Clinton, whereas 25.0% said that they would give their vote to real estate developer Donald Trump.

The poll was in the field between October 24 and October 26. The sample size was 500 likely voters. The margin of error is +/-4.4 points. This means that the levels of voter support for the Democratic and the Republican candidate differ significantly.

Putting the results in context

Individual polls often include substantial errors, and should be treated with caution. Instead of relying on results from single polls, the recommended strategy use combined polls or, even better, the combined PollyVote forecast that draws upon forecasts from different methods, each of which draws upon different data.

In order to make the results comparable to forecasts from benchmark methods, you can translate them into shares of the two-party vote. The resulting figures are 69.5% for Clinton and 30.5% for Trump.

Results compared to other polls

Clinton currently runs at 67.5% of the two-party vote in an average of recent polls in Massachusetts. In comparison to her numbers in the Boston Globe/Suffolk poll Clinton's poll average is 2 percentage points worse. This deviation is within the poll's margin of error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The current PollyVote anticipates Clinton to gain 65.6% of the two-party vote in Massachusetts. Hence, Polly's prediction is 3.9 points below her polling numbers. The PollyVote forecast is thus within the poll's margin of error.

This article was automatically generated by the PollyBot, which uses algorithms developed by AX Semantics to generate text from data stored in our API. The exact dataset underlying this particular article can be found here.

Please let us know if you find any typos, missing words, or grammatical errors. Your feedback helps us to further improve the quality of the texts.

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