Iu2019m used to dealing with enormous population in which you donu2019t look at the percent, but at total absolute numbers.Depends on the margin of error you can accept as well as the proportion you might expect. For exampleu2023 if you are doing a poll between two candidates for public office and its a 50/50 chance, you can:Error = 1.96 * sqrt (0.5*0.5/Number of people)Number of people = 1.96^2*.5*.5/Error^2Letu2019s say you want no more than a 3% error. Do the math, youu2019ll need about 1068 people.Now letu2019s say you want no more than 3% error but one of the candidates is a neo-Nazi. So now instead of 50/50, maybe you expect a 10/90.Number of people = 1.96*2*0.1*0.9/Error^2The sample drops to 385.As the expected results get close to , the number of people you need will drop.Just one other caution - beyond the math, you need to make sure that your sample is large enough to capture the variability of the population. If youu2019re polling an area that is 100% white rural people, there isnu2019t much variability. If youu2019re polling an area that is multiracial, multigender, whatever, thereu2019s going to be a lot of variability in your population. Even if the math says to get a certain number of people, variability = less precision and in those circumstances I would get more than the math requires - just to be on the safe side.