…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…
…region, income, and education based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with them higher margins…
…modeling. 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….
…weighted by a 2016 voter model on race, age, gender, party affiliation, education and US congressional district. It is important to remember that subsets based on gender, age, party breakdown,…
…2.5 percentage points. The data was weighted by age, region, income, and education based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party…
…points. The data was weighted by age, education, party, and mode based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity…
…error (MOE) of +/- 3.3 percentage points. The data was weighted by gender, age, education, party, ethnicity and mode based on 2016 turnout modeling. It is important to remember that…
…on 2016 turnout modeling. 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…
…by gender, age, education, ethnicity and mode based on 2016 turnout modeling. It is important to remember that subsets based on gender, age, party breakdown, ethnicity and region carry with…