Stratified Sample Calculator

Calculate sample sizes for stratified random sampling

Total Sample Size (n):

Allocation Method:

Name:

Population (N):

Std Dev (optional):

Name:

Population (N):

Std Dev (optional):

Stratified sampling divides the population into homogeneous subgroups (strata) and samples from each stratum.

Allocation Methods:

Proportional: n_h = n × (N_h / N) - Sample sizes proportional to stratum sizes
Optimal (Neyman): n_h = n × (N_h × σ_h) / Σ(N_h × σ_h) - Accounts for stratum variability
Equal: Same sample size from each stratum

Stratified sampling often provides more precise estimates than simple random sampling, especially when strata are internally homogeneous.

💡

How would you rate the Stratified Sample Calculator?

MyCalcBuddy Editorial Team

This page is maintained as an educational calculator reference.

ðŸ“š

Formula Source: Standard Mathematical References

by Various

ðŸ”„Last reviewed: May 2026

âœ“Formula checks are based on standard references and internal QA review.