What is Percentage Error?
Percentage error (also called percent error) measures the accuracy of an experimental or estimated value compared to a known, accepted, or theoretical true value. It answers: "How wrong was my measurement, as a percentage of the correct answer?" A smaller percentage error means higher accuracy.
Percentage error is a cornerstone of scientific methodology. Every measurement in the physical world involves some degree of uncertainty — instrument limitations, environmental factors, human observation error, and rounding all contribute. Percentage error quantifies these imperfections in a standardized, comparable way that's independent of the measurement scale.
The Percentage Error Formula
📐 % Error = (|Approximate − Exact| ÷ |Exact|) × 100
The absolute value bars ensure the result is always positive (we care about the magnitude of error, not its direction). The exact (true) value is always the denominator. This is different from percentage difference, which uses the average of both values.
What Counts as a Good Percentage Error?
Acceptable error depends heavily on the context:
- < 1%: Excellent precision — typical in high-quality laboratory settings
- 1–5%: Good accuracy — acceptable for most school experiments and professional estimates
- 5–10%: Moderate error — may indicate equipment issues or environmental interference
- > 10%: High error — suggests a procedural problem, instrument failure, or systematic bias
Percentage Error vs. Percentage Difference
Both involve two numbers, but the intent differs. Percentage error requires a known "correct" answer (the exact value) as the reference — one value is trusted and the other is being evaluated. Percentage difference treats both values as equals and uses their average as the reference — neither is assumed to be "correct."
Common Causes of Percentage Error
Systematic errors consistently skew results in one direction — like a miscalibrated scale always reading 5% high. Random errors fluctuate unpredictably around the true value — like slight variations when reading a thermometer. Percentage error captures both types.
| Measured | True Value | Difference | % Error | Quality |
|---|---|---|---|---|
| 9.9 | 10.0 | 0.1 | 1% | ✓ Excellent |
| 48 | 50 | 2 | 4% | ✓ Good |
| 92 | 100 | 8 | 8% | ⚠ Moderate |
| 115 | 100 | 15 | 15% | ✗ High |