For immediate release
August 13th, 2020
Contact: Nicolas Tomboulides
Phone: (321) 428-4235
New TX-22 Poll: Race Tied, But Sri Can Win with Term Limits
Sugar Land, TX – According to a new poll conducted by RMG Research, the race between Sri Kulkarni and Troy Nehls for Texas’ 22nd congressional seat is tied, but Kulkarni will win in a landslide if he commits to support congressional term limits.
The poll, which was conducted from July 27-August 2nd, found that Kulkarni and Nehls are currently in a dead heat at 39%-39%, with 22% of the electorate undecided. But when voters are asked who they would support if Kulkarni were to sign the U.S. Term Limits pledge, which Nehls opposes, Kulkarni would jump out to a 15-point lead (42% to 27%).
If Kulkarni signs the term limits pledge, he’d gain seven points with Republicans and 14 points with independents. Also, undecided voters – currently 22% of the electorate – would break for Kulkarni at a 5-to-1 rate if he came out for term limits. According to the poll, 87% of 22nd district voters don’t know what Troy Nehls’ position is on congressional term limits. That presents a major opportunity for either candidate to make inroads with voters by campaigning on the issue.
The survey of 500 registered voters in Texas’ 22nd district was conducted online by RMG Research, Inc. from July 27th-August 2nd using a representative sample to reflect the district’s population of registered voters. It has a margin of error of +/- 4.5 percentage points. RMG Research is owned and operated by Scott Rasmussen.
For full poll results:
View TX-22 poll crosstab results.
View TX-22 poll topline results.
U.S. Term Limits: is the largest grassroots term limits advocacy group in the country. We connect term limits supporters with their legislators and work to pass term limits on all elected officials, particularly on the U.S. Congress. Find out more at termlimits.org.
RMG Research: Long recognized as one of the world’s leading public opinion pollsters, Scott Rasmussen is committed to enhancing the public dialogue through data-driven analysis that explores the underlying currents of public opinion.