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Source: University of New Hampshire (url)

CandidatePolitical PartyPollGraphPoll Details
DJeanne Shaheen*Democratic45%piePoll Date: 2014-04-09
RScott BrownRepublican39%Number Polled: 387
-Other-2%Margin of Error: 5%
-Undecided-14%Voter Type: Likely

  * = Incumbent

Shaheen Leading Brown in New Hampshire

 By: leip (I-NY) on 2014-05-03 @ 22:51:42

Question:
"If the 2014 Senate election was being held today and the candidates were Scott Brown, the Republican and Jeanne Shaheen, the Democrat, who would you vote for?" ROTATE CANDIDATES

Brown 39%
Shaheen 45%
Other 2%
Don’t know / undecided 14%
(N=) (387)

"If the 2014 Senate election was being held today and the candidates were Jim Rubens, the Republican and Jeanne Shaheen, the Democrat, who would you vote for?" ROTATE CANDIDATES

Rubens 27%
Shaheen 48%
Other 1%
Don’t know / undecided 23%
(N=) (384)

"If the 2014 Senate election was being held today and the candidates were Bob Smith, the Republican and Jeanne Shaheen, the Democrat, who would you vote for?" ROTATE CANDIDATES

Smith 34%
Shaheen 48%
Other 1%
Don’t know / undecided 17%
(N=) (384)

"If the 2014 Senate election was being held today and the candidates were Karen Testerman, the Republican and Jeanne Shaheen, the Democrat, who would you vote for?" ROTATE CANDIDATES

Testerman 25%
Shaheen 48%
Other 2%
Don’t know / undecided 25%
(N=) (384)

About this Poll
These findings are based on the latest WMUR Granite State Poll, conducted by the University of New Hampshire Survey Center. Five hundred and seven (507) randomly selected New Hampshire adults were interviewed by landline and cellular telephone between April 1 and April 9, 2014. The margin of sampling error for the survey is +/- 4.4 percent. The sample includes 387 likely voters (with a +/- 5.0 percent margin of sampling error).

The data have been weighted to adjust for numbers of adults and telephone lines within households, respondent sex, age, and region of the state. In addition to potential sampling error, all surveys have other potential sources of non-sampling error including question order effects, question wording effects, and non-response. Due to rounding, percentages may sum to just above or below 100%. Respondent numbers in each demographic may not equal the total respondent number due to respondents choosing not to answer some demographic questions.

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