Common survey
95%, 5% margin, 50% proportion385
Use this free sample size calculator to estimate a survey sample size from confidence level, margin of error, estimated proportion, and optional population size.
Estimate how many survey responses you need for a proportion.
Compare 90%, 95%, 98%, and 99% confidence levels.
Use 50% estimated proportion for a conservative planning estimate.
Apply finite population correction when the total population is known.
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Quick answers about formulas, inputs, examples, result copying, and private in-browser history.
It estimates sample size for a population proportion, which is common for surveys, polls, yes/no questions, and percentage estimates.
Use your best estimate. If you are unsure, use 50%, which gives the most conservative and usually largest sample size.
The main inputs are the numbers, operation, mode, or known values the calculator needs. Keep units consistent, enter percentages the way the page label shows, and use the examples as a quick check before trusting the answer.
Read the headline answer, then check the supporting lines and examples to understand how the calculator got there. If one input changes, rerun the tool and compare the new answer instead of guessing.
Check units, signs, rounding, and the selected mode before copying the answer. If the number feels weird, rerun one of the examples first, then put your own values back in slowly.
Margin of error is the maximum difference you are planning to tolerate between the sample estimate and the true population proportion.
When the total population is known, finite population correction can reduce the required sample size because the sample is a larger share of the whole group.
No. It is a planning calculator for common proportion estimates. Professional surveys may need design effects, stratification, weighting, and nonresponse planning.
Yes. Recent sample size answers stay only in the current browser tab while you use the page. They are not sent to a server.