Check out 7 surveys targeting type of community. Learn how they pose their questions and view the written responses.
This is a 2 option poll with 50 respondents targeting Type of community (Suburban, Rural), Gender identity (Female), and Age range (65+, 55 64, 45 54). A sample of responses:
This is a 2 option poll with 50 respondents targeting Type of community (Rural, Suburban), Gender identity (Female), and Age range (65+, 55 64, 45 54). A sample of responses:
This is a 2 option poll with 50 respondents targeting Age range (65+, 35 44, 55 64, 45 54), Type of community (Rural, Suburban), and Gender identity (Female). A sample of responses:
This is a 1 option poll with 50 respondents targeting Type of residence (Apartment Building, Single Family Home / Townhouse), Age range (55 64, 45 54, 35 44), and Type of community (Urban). A sample of responses:
This is a 2 option poll with 50 respondents targeting Type of community (Urban), Age range (55 64, 25 34, 45 54, 35 44), Preferred nutritional supplement benefits (Digestive Health), and Education level (Associate Degree, Bachelor's Degree, Graduate Degree). A sample of responses:
This is a 5 option poll with 50 respondents targeting Amazon Prime member (Yes), U.S. geographic region (Southeast, Northeast, Midwest, Pacific, Southwest), Type of community (Urban), and College enrollment (I Am Attending College). A sample of responses:
This is a 1 option poll with 50 respondents targeting Personal income range ($61 100k, $31 60k, $0 30k), Type of community (Urban, Suburban), and Age range (25 34, 35 44, 18 24). A sample of responses:
Type Of Community targeting is often combined with age range targeting, household income range targeting, nutritional supplement use targeting, employment status targeting, online shopping marketplaces targeting, u.s. geographic region targeting, amazon prime member targeting, recently purchased categories targeting, hobbies and interests targeting, personal income range targeting, education level targeting, exercise frequency targeting, gender identity targeting, relationship status targeting, type of residence targeting, homeownership targeting, app store spending habits targeting, interest in cooking targeting, political affiliation targeting, primary mode of transportation targeting, favorite sports targeting, search engine used targeting, and heartland targeting.