Percent Error Calculator | Compute Absolute And Relative Error
Last updated: July 2026 · Free · No sign-up required
Enter values above and click Calculate to see your result instantly.
Quick reference
| Measured | Actual | Percent error |
|---|---|---|
| 9.5 | 10 | 5% |
| 105 | 100 | 5% |
| 3.0 | 3.14159 | 4.51% |
| 9.81 | 9.8 | 0.10% |
info Percent Error Calculator
Free math calculator — enter your numbers and get an instant, accurate result.
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info Works everywhere
Fully responsive and mobile-friendly — calculate on any device, any time.
info Educational
Includes the formula and step-by-step explanation so you understand the math, not just the answer.
Interpretation guide
| Percent error | Typical reading |
|---|---|
| Under 1% | Excellent agreement — precision instrument territory |
| 1–5% | Good for classroom labs and field measurements |
| 5–10% | Acceptable for rough estimates; check method |
| Over 10% | Large — look for systematic error in the setup |
lightbulb Worked example
Result: The calculator instantly applies the formula Percent error = |measured − actual| ÷ |actual| × 100 and returns the result with appropriate precision.
What this means: Read the result in the context of what you are measuring. The step-by-step breakdown lets you confirm the math and understand which input most affects the outcome.
Formula & methodology
Formula: Percent error = |measured − actual| ÷ |actual| × 100
The Percent Error Calculator is built on a well-established calculation method. It uses the formula Percent error = |measured − actual| ÷ |actual| × 100 to turn your inputs into a reliable result. Computes the percentage error between a measured value and an actual value. Enter both values, and the tool applies the formula |measured − actual| ÷ actual × 100 to return the absolute and relative error, with the sign The steps are shown on the page so you can follow the reasoning from input to output.
- Enter the measured (observed/experimental) value.
- Enter the actual (true/accepted) value.
- The calculator takes the absolute difference, divides by the actual value, and multiplies by 100.
Worked example: measured 9.5, actual 10 → |9.5 − 10| = 0.5; 0.5 ÷ 10 = 0.05; × 100 = 5% error (signed −5%, an undershoot).
Authoritative source: Wolfram MathWorld
Frequently asked questions
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