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STDEVP Function (OpenOffice Calc)

Statistical Intermediate OpenOffice Calc Introduction not established

The STDEVP function in OpenOffice Calc calculates the population standard deviation of a dataset. Learn syntax, examples, statistical meaning, common errors, and best practices.

Verification status: Consult the documentation, examples and any stated test scope below. How formula examples are checked

Availability and version history

  • Introduced: Documented by Apache OpenOffice 4.1.16; original introduction not established.
  • Availability: Supported in Apache OpenOffice 4.1.16, verified against its function registry. This identifies a supported release, not a final working version.
  • Scope: Desktop Calc, using the English function name. Availability in other spreadsheet applications is separate.
  • Checked: 2026-10-14 — function reference; versioned support. Documentation/source check; not a new native test. Existing example-specific test claims below retain their stated scope.

The STDEVP function in OpenOffice Calc calculates the population standard deviation, a key statistical measure that describes how spread out values are when your dataset represents the entire population, not just a sample. It is essential for scientific analysis, financial modeling, quality control, and any scenario where complete data is available.

What the STDEVP Function Does

  • Calculates population standard deviation
  • Measures how much values vary from the mean
  • Ignores text and empty cells
  • Includes dates and times (because they are numeric)
  • Works across sheets
  • Useful for scientific, financial, and statistical analysis
Use STDEVP when your dataset represents the entire population.
Use STDEV when working with a sample.

Syntax

STDEVP(number1; number2; ...)

Arguments:

  • number1, number2, … — Individual values, cell references, or ranges

Statistical Meaning

STDEVP uses the population standard deviation formula:

[ \sigma = \sqrt{\frac{\sum (x_i - \mu)^2}{n}} ]

Where:

  • ( x_i ) = each value
  • ( \mu ) = population mean
  • ( n ) = number of values

This makes STDEVP appropriate when your dataset includes every relevant value.

Basic Examples

Population standard deviation of a range

=STDEVP(A1:A10)

Population standard deviation of multiple ranges

=STDEVP(A1:A10; C1:C10)

Population standard deviation of a list of values

=STDEVP(10; 25; 7; 99; 3)

Population standard deviation of dates

If A1:A5 contains dates:

=STDEVP(A1:A5)

Result: variability in days.

Advanced Examples

STDEVP across sheets

=STDEVP(Sheet1.A1:A100)

STDEVP with conditions (workaround)

OpenOffice Calc does not have STDEVPIF, but you can use:

=STDEVP(IF(A1:A100="North"; B1:B100))

Confirm with Ctrl+Shift+Enter.

STDEVP within a date range

=STDEVP(IF((A1:A100>=DATE(2025;1;1))*(A1:A100<=DATE(2025;12;31)); B1:B100))

Confirm with Ctrl+Shift+Enter.

STDEVP excluding zeros

=STDEVP(IF(A1:A100<>0; A1:A100))

Confirm with Ctrl+Shift+Enter.

STDEVP of filtered data

STDEVP does not ignore filtered rows.
Workaround:

=STDEVP(IF(SUBTOTAL(103; OFFSET(A1; ROW(A1:A100)-ROW(A1); 0)); A1:A100))

Confirm with Ctrl+Shift+Enter.

STDEVP in a 3D range

=STDEVP(Sheet1:Sheet5.A1:A10)

Common Errors and Fixes

STDEVP returns Err:502 (Invalid argument)

Occurs when:

  • No numeric values exist
  • All values are text or empty
  • Imported numbers stored as text

Fix: Convert text to numbers:
Data → Text to Columns → OK

STDEVP returns 0 unexpectedly

Possible causes:

  • All values are identical
  • Only one numeric value exists

STDEVP includes values you expected it to ignore

STDEVP includes:

  • Dates
  • Times
  • Numeric results of formulas

STDEVP excludes values you expected it to include

STDEVP ignores:

  • Text numbers ("123")
  • Empty cells
  • Logical values (TRUE/FALSE)
  • Errors

Err:508 — Missing parenthesis

Usually caused by:

  • Missing )
  • Using commas instead of semicolons

Best Practices

  • Use STDEVP for complete population datasets
  • Use STDEV for sample datasets
  • Use array formulas for conditional standard deviation
  • Convert imported text numbers to real numbers
  • Avoid mixing text and numbers in the same column
  • Use named ranges for cleaner formulas
If your dataset contains extreme outliers, consider pairing STDEVP with MEDIAN or trimmed means for more robust analysis.