Given a choice, 68% of voters prefer a Congressional candidate who believed that all voters should be required to show photo ID before casting a ballot. A Scott Rasmussen national survey found that just 19% would cast their ballot for a candidate who voted to ban the use of photo ID requirements.
The candidate supporting photo ID requirements is preferred by 70% of White voters, 68% of Hispanic voters, and 56% of Black voters.
Eighty-eight percent (88%) of Republicans prefer the candidate supporting photo IDs. Independents, by a 62% to 10% margin, agree. Among Democrats, 50% prefer the candidate supporting photo ID while 32% take the opposite view.
This could be a significant challenge for Democrats in the 2022 midterm elections. The “For the People Act” effectively banned the use of photo ID requirements for elections. Virtually all Democrats in Congress have voted for that legislation.
Advocates of the “For the People Act,” argue that the bill would not technically ban photo ID requirements. In their view, the legislation simply provides a workaround for people who don’t have photo IDs. Anybody would be allowed to vote by providing a sworn, written statement to an election official stating that they are eligible to vote. However, only 19% of voters consider that an acceptable substitute. Seventy-three percent (73%) are opposed.
SIGN UP to receive Scott’s free email newsletter.
CHECK OUT Scott’s latest polls.
Note: Neither Scott Rasmussen, ScottRasmussen.com, nor RMG Research, Inc. have any affiliation with Rasmussen Reports. While Scott Rasmussen founded that firm, he left more than seven years ago and has had no involvement since that time.
The survey of 1,200 Registered Voters was conducted by Scott Rasmussen using a mixed mode approach from August 5-7, 2021. Field work for the survey was conducted by RMG Research, Inc. Most respondents were contacted online or via text while 236 were contacted using automated phone polling techniques. Online respondents were selected from a list of Registered Voters and through a process of Random Digital Engagement. Certain quotas were applied, and the sample was lightly weighted by geography, gender, age, race, education, internet usage, and political party to reasonably reflect the nation’s population of Registered Voters. Other variables were reviewed to ensure that the final sample is representative of that population.