Midterm Election Poll: Ohio’s 1st District, Chabot vs. Pureval (original) (raw)
Steve Chabot, the Republican candidate, leads our poll.
Our poll is a good result for Republicans. It’s just one poll, though.
Where we called:
Each dot shows one of the 46661 calls we made.
Vote choice: Dem. Rep. Don’t know Didn’t answer
To preserve privacy, exact addresses have been concealed. The locations shown here are approximate.
Explore the 2016 election in detail with this interactive map.
About the race
- Aftab Pureval is the Hamilton County clerk of courts. 40% favorable rating; 36% unfavorable; 24% don’t know
Based on 503 interviews - Steve Chabot is the current representative and a longtime holder of the office. 44% favorable rating; 38% unfavorable; 18% don’t know
Based on 503 interviews - This gerrymandered district includes most of the city of Cincinnati, and stretches out to conservative exurbs to ensure a Republican-lean.
- Mr. Pureval, 36, an Ohio native of Tibetan and Indian descent, is a relative newcomer to politics, having been elected to the clerk of courts post in 2016. Before that, he worked as a lawyer.
- Unusually for a candidate challenging an entrenched incumbent, Mr. Pureval is leading in fund-raising as of the most recent reporting period, with about 1.6millionversusjustunder1.6 million versus just under 1.6millionversusjustunder1 million for Mr. Chabot.
- Mr. Chabot, 65, has represented the district almost continuously since 1995 (losing in 2008 but winning again in 2010) and has been a strong supporter of the Trump agenda, including voting to repeal the Affordable Care Act.
Other organizations’ ratings:
Previous election results:
| 2016 President | +7 Trump |
|---|---|
| 2012 President | +6 Romney |
| 2016 House | +18 Rep. |
How our poll result changed
As we reach more people, our poll will become more stable and the margin of sampling error will shrink. The changes in the timeline below reflect that sampling error, not real changes in the race.
One reason we’re doing these surveys live is so you can see the uncertainty for yourself.
But sampling error is not the only type of error in a poll.
Our turnout model
There’s a big question on top of the standard margin of error in a poll: Who is going to vote? It’s a particularly challenging question this year, since special elections have shown Democrats voting in large numbers.
To estimate the likely electorate, we combine what people say about how likely they are to vote with information about how often they have voted in the past. In previous races, this approach has been more accurate than simply taking people at their word. But there are many other ways to do it.
Our poll under different turnout scenarios
| Who will vote? | Est. turnout | Our poll result |
|---|---|---|
| The types of people who voted in 2014 | 201k | Chabot +15 |
| Our estimate | 249k | Chabot +9 |
| People whose voting history suggests they will vote, regardless of what they say | 252k | Chabot +10 |
| People who say they will vote, adjusted for past levels of truthfulness | 263k | Chabot +10 |
| People who say they are almost certain to vote, and no one else | 266k | Even |
| The types of people who voted in 2016 | 344k | Chabot +8 |
| Every active registered voter | 468k | Chabot +5 |
All estimates based on 503 interviews
Just because one candidate leads in all of these different turnout scenarios doesn’t mean much by itself. They don’t represent the full range of possible turnout scenarios, let alone the full range of possible election results.
The types of people we reached
Even if we got turnout exactly right, the margin of error wouldn’t capture all of the error in a poll. The simplest version assumes we have a perfect random sample of the voting population. We do not.
People who respond to surveys are almost always too old, too white, too educated and too politically engaged to accurately represent everyone.
How successful we were in reaching different kinds of voters
| Called | Inter-viewed | Successrate | Ourresponses | Goal | |
|---|---|---|---|---|---|
| 18 to 29 | 5116 | 32 | 1 in 160 | 6% | 10% |
| 30 to 64 | 22295 | 317 | 1 in 70 | 63% | 59% |
| 65 and older | 7022 | 154 | 1 in 46 | 31% | 30% |
| Male | 16193 | 228 | 1 in 71 | 45% | 47% |
| Female | 18255 | 275 | 1 in 66 | 55% | 53% |
| White | 24928 | 360 | 1 in 69 | 72% | 71% |
| Nonwhite | 6522 | 106 | 1 in 62 | 21% | 20% |
| Cell | 22980 | 267 | 1 in 86 | 53% | — |
| Landline | 11468 | 236 | 1 in 49 | 47% | — |
Based on administrative records. Some characteristics are missing or incorrect. Many voters are called multiple times.
Pollsters compensate by giving more weight to respondents from under-represented groups.
Here, we’re weighting by age, primary vote, gender, likelihood of voting, race, education and region, mainly using data from voting records files compiled by L2, a nonpartisan voter file vendor.
But weighting works only if you weight by the right categories and you know what the composition of the electorate will be. In 2016, many pollsters didn’t weight by education and overestimated Hillary Clinton’s standing as a result.
Here are other common ways to weight a poll:
Our poll under different weighting schemes
| Our poll result | |
|---|---|
| Weight using census data instead of voting records, like most public polls | Chabot +6 |
| Don’t weight by education, like many polls in 2016 | Chabot +8 |
| Don’t weight by primary vote, like most public polls | Chabot +9 |
| Our estimate | Chabot +9 |
All estimates based on 503 interviews
Just because one candidate leads in all of these different weighting scenarios doesn’t mean much by itself. They don’t represent the full range of possible weighting scenarios, let alone the full range of possible election results.
Undecided voters
About 9 percent of voters said that they were undecided or refused to tell us whom they would vote for.
They are not numerous enough to change the lead in our poll by themselves. But they — and others — could change their minds. (We could also be wrong on turnout or our sample could be unrepresentative.)
Issues and other questions
We're asking voters about feminism and whether they think it's important to elect more women to public office.
We're also asking whether they support Brett Kavanaugh's nomination to the Supreme Court.
Do you approve or disapprove of the job Donald Trump is doing as president?
| Approve | Disapp. | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 48% | 49% | 3% |
Would you prefer Republicans to retain control of the House of Representatives or would you prefer Democrats to take control?
| Reps. keep House | Dems. take House | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 50% | 43% | 7% |
Do you support or oppose Brett Kavanaugh’s nomination to the United States Supreme Court?
| support | oppose | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 51% | 40% | 10% |
Do you support electing more people who describe themselves as feminists?
| support | oppose | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 48% | 34% | 17% |
Is it important to elect more women to public office?
| agree | disagree | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 76% | 17% | 7% |
As you think about your member of Congress, would you prefer your representative to support President Trump and his agenda, or to serve as a check on the president and his agenda?
| Support | Check | Don’t know | |
|---|---|---|---|
| Voters n = 503 | 45% | 48% | 7% |
Percentages are weighted to resemble likely voters.
What different types of voters said
Voters nationwide are deeply divided along demographic lines. Our poll suggests divisions too. But don’t overinterpret these tables. Results among subgroups may not be representative or reliable. Be especially careful with groups with fewer than 100 respondents, shown here in stripes.
Gender
| Dem. | Rep. | Und. | |
|---|---|---|---|
| Female n = 275 / 53% of voters | 47% | 44% | 9% |
| Male 228 / 47% | 34% | 57% | 9% |
Age
| Dem. | Rep. | Und. | |
|---|---|---|---|
| 18 to 29 n = 30 / 7% of voters | 38% | 53% | 9% |
| 30 to 44 88 / 19% | 48% | 42% | 10% |
| 45 to 64 231 / 43% | 44% | 49% | 7% |
| 65 and older 154 / 31% | 32% | 56% | 11% |
Race
| Dem. | Rep. | Und. | |
|---|---|---|---|
| White n = 382 / 76% of voters | 33% | 58% | 8% |
| Black 77 / 15% | 80% | 13% | 7% |
| Hispanic 10 / 2% | 26% | 54% | 20% |
| Asian 6 / 1% | 67% | — | 33% |
| Other 13 / 2% | 33% | 61% | 6% |
Race and education
| Dem. | Rep. | Und. | |
|---|---|---|---|
| Nonwhite n = 106 / 21% of voters | 68% | 22% | 10% |
| White, college grad 217 / 37% | 43% | 50% | 7% |
| White, not college grad 165 / 39% | 25% | 66% | 9% |
Education
| Dem. | Rep. | Und. | |
|---|---|---|---|
| H.S. Grad. or Less n = 80 / 26% of voters | 36% | 55% | 9% |
| Some College Educ. 155 / 29% | 37% | 52% | 11% |
| 4-year College Grad. 163 / 28% | 44% | 48% | 8% |
| Post-grad. 103 / 17% | 51% | 43% | 6% |
Party
| Dem. | Rep. | Und. | |
|---|---|---|---|
| Democrat n = 139 / 27% of voters | 85% | 7% | 8% |
| Republican 172 / 36% | 4% | 89% | 7% |
| Independent 173 / 34% | 46% | 42% | 12% |
| Another party 13 / 3% | 35% | 60% | 5% |
Primary vote
| Dem. | Rep. | Und. | |
|---|---|---|---|
| Democratic n = 143 / 27% of voters | 83% | 11% | 6% |
| Republican 223 / 45% | 13% | 78% | 9% |
| Other 137 / 28% | 44% | 43% | 13% |
Intention of voting
| Dem. | Rep. | Und. | |
|---|---|---|---|
| Almost certain n = 322 / 66% of voters | 45% | 48% | 7% |
| Very likely 123 / 25% | 35% | 56% | 9% |
| Somewhat likely 32 / 6% | 33% | 44% | 24% |
| Not very likely 13 / 1% | 13% | 66% | 21% |
| Not at all likely 8 / 1% | 25% | 66% | 9% |
Percentages are weighted to resemble likely voters; the number of respondents in each subgroup is unweighted. Undecided voters includes those who refused to answer.
Other districts where we’ve completed polls
About this poll
- Most responses shown here are delayed about 30 minutes. Some are delayed longer for technical reasons.
- The design effect of this poll is 1.13. That’s a measure of how much weighting we are doing to make our respondents resemble all voters.
- Read more about the methodology for this poll.
- Download the microdata behind this poll.
This survey was conducted by The New York Times Upshot and Siena College.
Data collection by Reconnaissance Market Research, M. Davis and Company, the Institute for Policy and Opinion Research at Roanoke College, the Survey Research Center at the University of Waterloo, the University of North Florida and the Siena College Research Institute.
By Michael Andre, Larry Buchanan, Matthew Bloch, Jeremy Bowers, Nate Cohn, Alastair Coote, Annie Daniel, Richard Harris, Josh Katz, Rebecca Lieberman, Blacki Migliozzi, Paul Murray, Adam Pearce, Kevin Quealy, Eden Weingart and Isaac White