…percentage points. The data sets were weighted by gender, age, education, race, and party affiliation. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and…
…and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size is…
…affiliation, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with them higher margins of error, as the sample size…
…margin of error (MOE) of +/- 2.9 percentage points. The data sets were weighted by gender, age, education, race, party affiliation, and region. It is important to remember that subsets…
…and mode based on 2022 turnout modeling. It is important to remember that subsets based on demographics carry with them higher margins of error, as the sample size is reduced….
…2022 turnout modeling. It is important to remember that subsets based on gender, age, ethnicity, and region carry with them higher margins of error, as the sample size is reduced….
…remember that subsets based on gender, age, ethnicity, and region carry with them higher margins of error, as the sample size is reduced. Data was collected using a cellphone sample…
…age, education, and race/ethnicity based on 2022 turnout modeling. It is important to remember that subsets based on gender, age, education, and race/ethnicity carry with them higher margins of error,…
…remember that subsets based on gender, age, education, party registration, and race/ethnicity carry with them higher margins of error, as the sample size is reduced. Data was collected using an…