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Maryland: New Washington Post/Univ. Of Maryland poll shows Clinton with 35 points lead


Results of a new poll conducted by Washington Post/Univ. Of Maryland were distributed on November 6. The poll asked participants from Maryland for whom they will vote: Republican nominee Donald Trump or Democrat nominee Hillary Clinton.

Washington Post/Univ. Of Maryland poll results




Of those who responded, 63.0% said that they are going to vote for former New York Senator Hillary Clinton, whereas 28.0% indicated that they would give their vote to businessman Donald Trump.

The poll was in the field between March 30 and April 3.

Putting the results in context

Individual polls should be interpreted with caution, as they may incorporate substantial errors. Instead of trusting the results from single polls, we recommend to use combined polls or, even better, the combined PollyVote forecast that draws upon different methods and data.

In order to make the results comparable to benchmark forecasts, we translate them into two-party vote shares. This procedure results in values of 70.0% for Clinton and 30.0% for Trump. For comparison: Only 69.2% was gained by Clinton in the Washington Post/Univ. Of Maryland poll on April 3, for Trump this result was 30.8%.

Comparison to other polls

Clinton can currently count on 69.4% of the major two-party vote according to an average of recent polls in Maryland. This value is 0.6 percentage points lower than her respective numbers in the Washington Post/Univ. Of Maryland poll.

Results compared to the combined PollyVote forecast

The latest PollyVote predicts Clinton to gain 65.7% of the two-party vote in Maryland. Hence, the PollyVote forecast is 4.3 points below her polling numbers.

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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