Percent Error Calculator
Percent Error =
Absolute Error
Relative Error
Absolute Error
Relative Error
The standard percent error formula quantifies how far an experimental measurement deviates from a known or accepted value. The absolute value ensures the result is always positive, reflecting the magnitude of deviation regardless of direction.
Percent Error = |Measured − Actual| / |Actual| × 100%
Percent error quantifies how far an experimental measurement deviates from a known or accepted value, expressed as a percentage. The formula takes the absolute difference between the measured and actual values, divides it by the absolute value of the actual value, and multiplies by 100. Three related values are calculated: the absolute error (the raw difference), the relative error (absolute error divided by actual), and the percent error (relative error times 100). A lower percent error indicates a measurement that closely matches the accepted value.
You conduct a lab experiment and record the boiling point of water as 101.3 degrees Celsius. The accepted boiling point at standard pressure is 100.0 degrees Celsius.
A 1.3% error is generally acceptable for a classroom experiment, suggesting your thermometer and technique produced a reliable measurement.
Percent error compares a measured value to a known standard, while percent difference compares two measured values using their average as the denominator. Use percent error when you have an accepted reference value. The formula is undefined when the actual value is zero because it requires division by the actual value. In such cases, consider using absolute error alone or a different metric like mean absolute error.
Subtract the actual value from the measured value, take the absolute value of the result, divide by the absolute value of the actual, and multiply by 100. For example, if you measured 105 when the accepted value is 100, the percent error is |105 − 100| / |100| × 100% = 5%.
The formula is Percent Error = |Measured − Actual| / |Actual| × 100%. The absolute value bars ensure the result is non-negative, and the division by the actual value normalizes the error as a fraction of the reference quantity.
By the standard formula, no. The absolute value in the numerator ensures the result is always zero or positive. Some instructors use a signed version (without absolute value) to show whether the measurement was above or below the actual value, but the unsigned version is the most widely accepted definition.
The formula requires dividing by the actual value, so when the actual value is exactly zero the result is undefined (division by zero). In such cases, consider using absolute error alone or a different error metric like mean absolute error.
There is no universal threshold. In a college chemistry lab, anything under 5% is typically considered acceptable. In precision manufacturing, tolerances may demand errors below 0.1%. The acceptable range depends entirely on the context and how sensitive the application is to measurement accuracy.
Percent error compares a measured value to a known standard (actual/theoretical value). Percent difference compares two measured values to each other using their average as the denominator. Use percent error when you have an accepted reference value; use percent difference when comparing two independent measurements.
Yes. If the measured value deviates from the actual value by more than the actual value itself, percent error will exceed 100%. For example, measuring 250 when the actual value is 100 gives a percent error of 150%.
Chemistry Lab
A student measures the density of an aluminum sample as 2.63 g/cm³. The accepted density of pure aluminum at room temperature is 2.70 g/cm³. How close is the measurement?
Under 5% is typical for student chemistry labs and suggests reliable balance and displacement technique.
Manufacturing QC
A CNC mill cuts a shaft to a measured diameter of 24.97 mm. The engineering drawing specifies a nominal diameter of 25.00 mm with a ±0.2% tolerance. Does this part pass?
Precision manufacturing usually sets tolerance as a signed range; percent error gives the unsigned magnitude for comparison.
Forecasting
A finance team forecasts Q3 revenue at $1,200,000. Actual revenue comes in at $1,285,000. What was the forecast error?
Forecasting teams typically use MAPE (mean absolute percent error) across many periods; single-period percent error is one observation of that series.
Every term in the formula has a specific role. Here is what each part represents:
Where:
The formula is undefined when the actual value is zero, since you cannot divide by zero. In that case, report the absolute error on its own or pick a metric like mean absolute error that tolerates a zero reference.