Sample Size Calculator

Find the minimum sample size for your survey or study with given confidence and margin of error.

Z-Score

1

Percentile (below)

84.13%

Above percentile

15.87%

z = (75 − 65) / 10 = 1

Sample Size Calculator Formula & How It Works

n = z² × p(1−p) / e² (infinite population) | n_adj = n / (1 + (n−1)/N)
  • z = z-score for confidence level (1.96 for 95%)
  • p = expected proportion (0.5 = maximum variance, most conservative)
  • e = margin of error (e.g. 0.05 for ±5%)
  • N = population size (for finite population correction)

The required sample size depends on: desired confidence level (higher = larger sample), acceptable margin of error (smaller margin = larger sample), and expected proportion (0.5 is most conservative). For finite populations, apply the finite population correction to reduce n. Most national surveys use n=1,000–1,500 for ±3% margin at 95% confidence.

Sample Size Calculator FAQs

How many people do I need to survey?

For ±5% margin of error at 95% confidence: n ≈ (1.96² × 0.5 × 0.5) / 0.05² ≈ 384. For ±3%: n ≈ 1,067. For a population of 1,000 at ±5%: adjusted n ≈ 278 (finite correction reduces requirement).

What is a good sample size for a survey?

Depends on population and precision needed. For business decisions (±10%, 95%): ~100. For policy research (±3%, 95%): ~1,000. For scientific studies: use power analysis. Larger populations don't dramatically increase required sample size past ~10,000.

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