Percentage error is the gap between what you measured and what the answer should have been, expressed as a fraction of the correct value: |measured − accepted| ÷ |accepted| × 100 The accepted value goes underneath. Always. That is the single thing most often got wrong, and it is not a small mistak...
percent error = |measured − accepted| ÷ |accepted| × 100
The accepted value goes underneath — always. It is the reference the measurement is being judged against, and putting the measured value there instead does not nudge the answer, it rescales it.
PERCENTAGE ERROR
0.306%
|9.78 − 9.81| ÷ |9.81| × 100. The measurement sits 0.03 m/s² below the accepted value, which is 0.306% of it.
ABSOLUTE ERROR
0.03 m/s²
RELATIVE ERROR
0.00306
SIGNED
-0.306%
Put the measured value underneath instead and you get 0.307%. That is not a small discrepancy — it is the answer multiplied by 1.0031, which is exactly the accepted value divided by the measured one. Percentage error is asymmetric by design, because the accepted value is the reference and the measurement is what is being judged against it. Swapping them asks a different question and gets a different number.
| Measure | Formula | Result | Use it when |
|---|---|---|---|
| Percentage error | |m − a| ÷ |a| | 0.306% | one value is known to be correct |
| Percentage difference | |m − a| ÷ mean | 0.306% | neither value is the reference |
| Percentage change | (m − a) ÷ |a| | -0.306% | one value came after the other |
Percentage difference comes out higher here, at 0.306%. It divides by the mean of the two values rather than by one of them, which makes it symmetric — swap the inputs and it does not move. That is the entire reason it exists. It reads higher than percentage error whenever the measurement undershoots, because the mean is then smaller than the accepted value alone. Use it when neither number has a claim to being correct — two instruments disagreeing, say.
On signs and significant figures. The absolute-value bars are the usual convention in school and laboratory work, which is why the headline figure is positive. The signed version — -0.306% here — keeps the direction, and a systematic underestimate is often the more useful thing to report, because a bias that always points one way suggests a fault in the method rather than noise. As for precision: a percentage error cannot be more precise than the measurement behind it, so quoting it to five decimals when the reading had three significant figures is inventing certainty.
THE ERROR
The bar is the accepted value and the shading is the error. Drag the slider and watch the measurement move away from the reference: the shaded fraction is the percentage, which is what the formula means before it is a formula. Everything else on this page is a consequence of that picture.
Live calculation · updates as you type
Enter what you measured and what the value should have been. The order matters — the accepted value is the reference and belongs in the denominator.
Add units if you like. They cancel in the ratio, so they appear on the absolute error only and never on the percentage, which is dimensionless by construction.
Press the swap button to see what happens if the two are the wrong way round. The answer changes by the ratio of the values, not by a rounding margin.
Check which of the three measures you actually want. Percentage error needs a known true value; percentage difference does not; percentage change assumes one value came after the other.
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Last updated: August 2, 2026 · |measured − accepted| ÷ |accepted| × 100 · Undefined when the accepted value is zero, and asymmetric by design.