…percentage points. The data was weighted based on 2016 voter model, age, ethnicity, gender and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity…
…voter model, age, ethnicity,gender 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…
…was weighted based on 2016 voter model, age, gender, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them…
…voter model, age, party, 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…
…a 2016 voter model of gender, age, party affiliation, region and ethnicity. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with…
…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 was collected…
…a 2016 voter model of gender, age, region and ethnicity. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher…
…party, ethnicity, education,region, and age based on 2016 voter model. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher…
…3.6 percentage points. The data was weighted based on 2016 voter model, age, gender, and region. It is important to remember that subsets based on gender, age, party breakdown, ethnicity…