Skip to content

Percent Error Calculator

Percent error shows how far a measured or estimated value is from the accepted (true) value, as a percentage of the accepted value. It is the standard way to report accuracy in lab reports and experiments.

  • |measured − accepted| ÷ |accepted|
  • Step-by-step working
  • Signed and absolute error

Your values

Enter your measured value and the accepted value. The result shows the absolute error, the percent error and whether your value was too high or too low.

Values

Must not be 0.

— percent error

    Use the calculator above for your own numbers. Below, we explain how the Percent Error calculator works, with worked examples and sources.

    Percent error formula

    • Percent error = |Measured − Accepted| ÷ |Accepted| × 100
    • Signed percent error = (Measured − Accepted) ÷ |Accepted| × 100 (positive = too high, negative = too low)

    The vertical bars mean absolute value, so standard percent error is never negative. Many lab teachers also want to know the direction of the error, which the signed version shows.

    How to calculate percent error: step by step

    1. Subtract the accepted value from the measured value.
    2. Take the absolute value of the difference.
    3. Divide by the absolute value of the accepted value.
    4. Multiply by 100 to get a percentage.

    Example: a student measures gravitational acceleration as 9.6 m/s²; the accepted value is 9.81 m/s². Difference = 9.6 − 9.81 = −0.21; absolute error 0.21; 0.21 ÷ 9.81 = 0.0214; × 100 = 2.14%. The signed error is −2.14%, meaning the measurement was too low.

    More worked examples

    ExperimentMeasuredAcceptedPercent error
    Boiling point of water at sea level98.6 °C100 °C1.40%
    Density of aluminium2.65 g/cm³2.70 g/cm³1.85%
    Speed of sound (20 °C)350 m/s343 m/s2.04%
    Mass of a 500 g standard502.5 g500 g0.50%

    Percent error vs percent difference vs percent change

    MeasureFormulaUse it when
    Percent error|measured − accepted| ÷ |accepted| × 100You know the true or accepted value
    Percent difference|a − b| ÷ ((a + b) ÷ 2) × 100Comparing two measurements, neither of which is 'correct'
    Percent change(new − old) ÷ |old| × 100Tracking an increase or decrease over time

    For 9.6 and 9.81 the percent difference is 0.21 ÷ 9.705 × 100 = 2.16% – close to the percent error, but based on the average of the two values instead of the accepted value.

    Percent error, margin of error and standard error

    Percent error compares one result with a known value. Margin of error and standard error come from statistics: they describe the uncertainty of an estimate based on a sample, without knowing the true value. A survey's ±3% margin of error is not a percent error.

    What is a good percent error?

    It depends on the experiment and the instruments. In many school labs a percent error under about 5% is treated as good agreement, but precise lab work may require less than 1%. A large error usually points to a systematic problem – an uncalibrated instrument, heat loss, parallax – rather than random variation.

    How to reduce percent error

    • Calibrate instruments against a known standard before you start.
    • Repeat the measurement and use the average to reduce random error.
    • Use the most precise instrument available and record all its digits.
    • Control conditions such as temperature and draughts.
    • Report results with sensible rounding – see our rounding calculator.

    Percent yield in chemistry is a related but different measure: actual yield ÷ theoretical yield × 100. A 92% yield means 8% of the possible product was lost, not that the measurement was 8% wrong.

    Sources

    1. Systematic errors push every result the same way – an uncalibrated balance, a thermometer that reads 1 °C high, reading a scale at an angle (parallax).
    2. Random errors scatter results above and below the true value – small fluctuations in timing, temperature or reading the last digit.
    3. Method errors – heat lost to the surroundings, incomplete reactions, or an assumption in the formula that doesn't hold.
    4. NIST/SEMATECH e-Handbook of Statistical Methods – Measurement process characterization — itl.nist.gov/div898/handbook/mpc/mpc.htm

    Results are estimates for information only. Last reviewed: .

    Written & built by

    Zeeshan Nawaz

    Calculator Developer · Tuff Search

    Builds and tests Tuff Search calculators, turning official tax tables and published formulas into tools anyone can check.

    FAQ

    Frequently asked questions

    Quick answers about the Percent Error calculator.

    Standard percent error uses an absolute value, so it is always zero or positive. The signed version can be negative and shows the measurement was too low.

    Still have a question? Email support@tuffsearch.com