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New Mexico: Trump and Clinton neck-and-neck in latest Zia Poll*Zia Poll* poll

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Results of a new poll administered by Zia PollZia Poll were circulated on November 6. The poll asked interviewees from New Mexico for whom they will vote: Republican nominee Donald Trump or Democrat nominee Hillary Clinton.

Zia PollZia Poll poll results
46

Clinton

44

Trump

Of those who responded, 46.0% said that they plan to vote for former New York Senator Hillary Clinton, while 44.0% indicated that they would give their vote to businessman Donald Trump.

The poll was carried out from November 6 to November 6 among 8439 likely voters. There is a sampling error of +/-1.8 percentage points. Considering this error margin, the race is currently a statistical tie.

Putting the results in context

In general, however, a good strategy is to not have too much faith in the results of single polls, because they may contain large errors. At least, one should check how a poll's results compare to benchmark forecasts.

For the following analysis, we convert Clinton's and Trump's raw poll numbers into shares of the two-party vote. This procedure yields figures of 51.1% for Clinton and 48.9% for Trump. In the latest Zia PollZia Poll poll on September 25 Clinton obtained 53.2%, while Trump obtained only 46.8%.

Results in comparison to other polls

If we look at an average of New Mexico polls, Clinton's current two-party vote share is at 52.0%. This value is 0.9 percentage points higher than her respective numbers in the Zia PollZia Poll poll. This deviation is within the poll's sampling error, which means that the poll is not an outlier.

Comparison to the combined PollyVote

The current PollyVote forecasts Clinton to gain 55.7% of the two-party vote in New Mexico. That is, Polly's forecast is 4.6 points above her polling numbers. The PollyVote forecast is thus 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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