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Free M&E Sample Size Calculator

Free M&E Sample Size Calculator

Free M&E Sample Size Calculator

Enough theory – let’s make this practical. I’ve built a free calculator that does all the math for you. No spreadsheets, no complex formulas, just straightforward answers.

How to use it:

  1. Pick your study type – Click either “Descriptive Study” (for baselines and monitoring) or “Impact Evaluation” (for comparing treatment vs control groups)
  2. Fill in the numbers – Each field has helpful hints below it. If you’re not sure what to enter, use the default values – they’re the standard settings most M&E practitioners use
  3. Hit calculate – You’ll instantly see how many people you need to survey, plus a breakdown of all your inputs so you can double-check everything
  4. Read the tips – Below your results, there’s a box with next steps about adjusting for cluster sampling and dropout

The calculator uses the same formulas statisticians use, but without making you understand the math. If you want to save your results, just take a screenshot or write down the number before switching tabs.

Quick tip: Try different scenarios. Change your margin of error from 5% to 10% and watch how much your sample size drops. This helps you see the tradeoffs when you’re tight on budget.

Sample Size Calculator for <a href="https://practicalmel.com/monitoring-and-evaluation-me-a-complete-guide-that-actually-works/">M&E</a> Studies | Free Tool

M&E Sample Size Calculator

Calculate the right sample size for your monitoring and evaluation study

Descriptive Study
Impact Evaluation
Total number of people in your target group (e.g., all project beneficiaries)
How certain you want to be. 95% is standard for M&E work
%
How precise you need to be. 5% is typical (±5 percentage points)
%
What % do you expect to find? Use 50% if unknown (most conservative)
Required Sample Size
0
people need to be surveyed
Population Size
Confidence Level
Margin of Error
Expected Proportion
Next Steps: If you’re using cluster sampling (villages/schools), multiply this number by your design effect (typically 1.5-2.5). Add 15-20% extra to account for non-response or dropout.
%
Current rate before intervention (e.g., 20% of farmers use improved seeds)
%
Expected rate after intervention (e.g., 30% after training program)
Chance of detecting impact if it exists. 80% is standard
How certain you want to be. 95% is standard
Required Sample Size
0
per group (treatment and control)
Control Group
Treatment Group
Total Sample
Detectable Effect
Next Steps: If using cluster randomization, multiply each group by your design effect (typically 2.0-3.0). Add 20-30% to account for dropout in longitudinal studies. Always split your sample equally between groups.
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