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Ohio: Clinton tied with Trump in latest Emerson*Emerson* poll

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EmersonEmerson published the results of a new poll. In this poll, interviewees from Ohio were asked for whom they will vote: Democrat candidate Hillary Clinton or Republican candidate Donald Trump.

In Ohio, the election outcome is often close. Therefore, the state is commonly considered a battleground state, which makes it particularly interesting from a forecasting perspective.

EmersonEmerson poll results
43

Clinton

43

Trump

The results show that former First Lady Hillary Clinton and real estate developer Donald Trump can draw on the same level of support, each with 43.0% of the vote.

The poll was conducted from August 25 to August 27 with 800 likely voters. There is a sampling error of +/-3.4 percentage points. Considering this error margin, the race is currently a statistical tie.

Putting the results in context

As a general rule, however, a good strategy is to not have too much faith in the results of single polls, since they may incorporate large errors. Rather, one should examine how a poll's results compare to benchmark forecasts.

For the following analysis, we convert Trump's and Clinton's raw poll numbers into two-party vote shares. The results of the actual poll mean 50.0 % for Clinton and 50.0 % for Trump for the two-party vote share.

Results in comparison to other polls

If we look at an average of Ohio polls, Clinton's two-party vote share is currently at 52.2%. In comparison to the average forecast of other polls Clinton performed 2.2 percentage points worse in the poll. This difference is outside the poll's sampling error, which suggests that the poll is an outlier.

Results compared to the combined PollyVote prediction

The most recent PollyVote predicts Clinton to gain 52.0% and Trump 48.0% of the two-party vote in Ohio. Clinton has 2 percentage points less when the results of the poll are compared to the combined PollyVote forecast for Ohio. The PollyVote forecast is therefore outside 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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