…datasets were weighted by gender, age, race, education, and region based on 2020 voter turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and…
…poll’s margin of error (MOE) of +/- 2.5 percentage points. The data sets were weighted by gender, age, education, race and region. It is important to remember that subsets based…
…age, education, race, party 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,…
…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 reduced….
…data sets were weighted by gender, age, education, race, party affiliation, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry…
…sets were weighted by gender, age, education, race, party affiliation, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity, and region carry with…
…points. The data sets were weighted by age, education, race, party affiliation, and region based on a 2021 turnout model. It is important to remember that subsets based on gender,…
…2021 turnout model. 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…
…data sets were weighted by borough, age, education, race, and party registration based on a 2021 turnout model. It is important to remember that subsets based on gender, age, party…