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© 2019 Change Research

Biden, Warren, and Buttigieg Lead the Democratic Primary in South Carolina

The Post and Courier/Change Research South Carolina Poll: June 11-14, 2019

Key Takeaways: 

 

  • Biden (37%), Warren (17%), and Buttigieg (11%) lead the Democratic primary in South Carolina

  • Biden leads in all age groups except for 18- to 34-year old voters

  • Biden has a strong lead among black voters, but the race is closer among white voters

Change Research surveyed 2,312 registered voters in South Carolina on over 50 questions related to the Democratic horse race, 2020 general elections, the Trump administration agenda, and more. The poll produced thousands of data points powering actionable insights for campaigns and organizations following South Carolina. This page contains a preview of the survey's findings - click here to inquire about purchasing the full poll. 

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Biden, Warren, and Buttigieg Lead the South Carolina Democratic Primary

 

Joe Biden leads the South Carolina Democratic primary by twenty points. Biden polls at 37%, followed by Warren (17%), Pete Buttigieg (11%), Kamala Harris and Bernie Sanders (9%), Cory Booker (5%), Beto O’Rourke (4%), and Andrew Yang (3%). All other candidates poll at 1% or less.

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Biden maintains a dominant lead in all age groups except for 18- to 34-year old voters; that group prefers Warren (24%) ahead of Sanders (19%) and Biden (17%).

Biden also maintains a dominant lead, polling at 52%, among black voters in South Carolina. The race is closer among white voters: Biden is still in first place in that group with 28%, but Warren is only eight points behind at 20%, followed by Buttigieg (17%) and Sanders (11%).

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Change Research surveyed 2,312 registered voters in South Carolina (933 likely 2020 Democratic primary voters and 1,183 likely 2020 Republican primary voters) from June 11-14, 2019. The survey was conducted online, using Change Research’s Bias Correct Engine. Change Research reaches voters via targeted online ads that point people to an online survey instrument. The Bias Correct Engine dynamically delivers large samples that accurately reflect the demographics of a population. Post-stratification was done on age, gender, ethnicity, and 2016 presidential vote. The margin of error for the full sample, as traditionally calculated, is ± 2.0%.