Work Tools

Forecast Accuracy Calculator

Estimate absolute error and forecast accuracy percentage from forecasted and actual values.

  • Updated April 14, 2026
  • Free online tool
  • Planning and research use

Forecast reviews get easier when the gap between expected and actual results turns into one readable percentage instead of a raw over-or-under number. This calculator helps visitors estimate forecast accuracy from forecasted value and actual value.

Run the estimate

Enter your numbers and read the result first, then use the sections below to understand what affects the outcome.

Forecast accuracy calculator

Estimate forecast accuracy from forecasted value, actual value, and the absolute percentage error between them.

95.41%

Estimated forecast accuracy based on the absolute gap between the forecast and actual value relative to the actual value.

Forecast accuracy95.41%
Absolute error45.0000
Forecasted value1,025.0000
Actual value980.0000
  • The forecast differs from the actual value by 45.0000 in absolute terms.
  • Using the actual value as the percentage basis produces a forecast accuracy near 95.41% in this simple method.
  • Use the result as a quick planning metric only, because some teams use weighted accuracy, bias tracking, or category-level rollups instead.

This is a simple forecast-accuracy estimate based on absolute percentage error. Teams may use different definitions, weighting methods, or aggregation rules in practice.

Last updated April 14, 2026. Use this tool to compare scenarios and plan ahead, then confirm important details with the lender, employer, insurer, contractor, or other qualified provider involved in the final decision.

What the calculator is doing

Enter the forecasted value and the actual value.

The calculator finds the absolute error between them.

It converts that gap into a simple forecast-accuracy percentage using the actual value as the percentage basis.

This is a simple forecast-accuracy method based on absolute percentage error. Teams may use different formulas, weighting methods, or aggregation rules.

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Ways people use this tool

Example scenarios help turn a quick estimate into a more useful comparison or planning step.

Check one forecast quickly

A simple accuracy percentage can make one forecast easier to summarize than quoting the raw gap alone.

Compare different forecast periods

Using the same method from one period to the next can make forecast performance easier to compare over time.

Use it with operations and planning tools

Forecast accuracy often fits naturally beside inventory, backlog, and productivity planning metrics.

Common questions

How is forecast accuracy estimated here?

The calculator finds the absolute error between the forecast and actual value, divides that by the actual value, and converts the result into a simple forecast-accuracy percentage.

Why does forecast accuracy depend on the formula used?

Different teams may use weighted accuracy, bias, MAPE, or category rollups, so the exact percentage can vary depending on the method chosen.

What happens if the actual value is zero?

This version treats a zero forecast and zero actual as fully accurate, but a nonzero forecast against a zero actual returns 0% because the percentage basis disappears.

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