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Clinton leads in Colorado by 11 points in latest Keating Research (D)*Keating Research (D)* poll


Keating Research (D)Keating Research (D) published the results of a new poll. In this poll, participants from Colorado were asked for whom they will vote: Republican nominee Donald Trump or Democrat nominee Hillary Clinton.

In Colorado, the popular vote is often close. This is why the state is commonly regarded as a battleground state, which makes it particularly interesting from a forecasting perspective.

Keating Research (D)Keating Research (D) poll results




The results show that 44.0% of respondents indicated that they would cast a ballot for former New York Senator Hillary Clinton, while 33.0% are going to vote for real estate developer Donald Trump.

The poll was conducted from September 27 to September 29 with 602 likely voters. There is a sampling error of +/-4.0 percentage points. Considering this error margin, the gap between both candidates is statistically significant.

Putting the results in context

As any other method, polls are subject to bias. Therefore, as a general rule, don't have too much faith in the results of a single poll. At the very least, one should check how a poll's results compare to benchmark forecasts.

To make the results comparable to forecasts from other methods, we translate them into shares of the two-party vote. This yields figures of 57.1% for Clinton and 42.9% for Trump.

Comparison to other polls

Looking at an average of Colorado polls, Clinton's current two-party vote share is at 54.5%. This value is 2.7 percentage points lower than her corresponding numbers in the Keating Research (D)Keating Research (D) poll. This margin is within the poll's sampling error, which means that the poll is not an outlier.

Results compared to the combined PollyVote prediction

The latest PollyVote predicts Clinton to gain 52.8% of the two-party vote in Colorado. That is, the PollyVote is 4.3 points below her polling numbers. Again, a look at the poll's sampling error suggests that this difference is significant.

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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