Survey of 1200 U.S. Registered Voters, February 2026 Toplines

N = 1200 United States Registered Voters Margin of Error: +/-3.2 % YouGov interviewed 1334 US registered voters, who were then matched down to a sample of 1200 to produce the final dataset.The respondents were matched to a sampling frame on gender, age, race, and education.The sampling frame is a politically representative 'modeled frame' of US registered voters, based upon the 2024 Current Population Survey (CPS) Voting and Registration supplements.The matched cases were weighted to the sampling frame using propensity scores.The matched cases and the frame were combined and a logistic regression was estimated for inclusion in the frame.The propensity score function included age, gender, race/ethnicity, years of education, region, and home ownership.The propensity scores were grouped into deciles of the estimated propensity score in the frame and post-stratified according to these deciles.The weights were then post-stratified on 2024 presidential vote choice, as well as a four-way stratification of gender, age (4-categories), race (4-categories), and education (4categories) to produce the final weight.