STDEV.P in Google Sheets: Population Standard Deviation

Use STDEV.P in Google Sheets to calculate standard deviation for the whole population you have chosen to describe, using a denominator of n. The working example below describes support resolution times; its result is measured in minutes. The official reference supports the function’s identity and purpose.

This guide separates documentation review from application testing. The expected numbers are independently calculated, not screenshots or results captured from Google Sheets.

STDEV.P(value1, [value2, ...])

Numeric inputs: individual numbers or cell ranges holding the observations. One range can contain many observations; a header is not a measurement.

Additional inputs: optional extra numeric values or ranges. Omit the square brackets shown in the syntax notation when entering a formula. The numeric-only examples avoid relying on text or logical-value conversion.

Use the population measure when the range contains every observation in the population defined by your question. For example, all completed tickets in a fixed reporting period can form a complete population for describing that period. The same records can still be a sample when the question concerns future periods.

The result is expressed in the original measurement units. It is a measure of spread, not a tolerance limit or a forecast. A high result may be driven by a few unusual records or by several different groups being mixed together. Review the data rather than treating one dispersion number as an explanation of why the process varies.

A shared support log with one row per resolved ticket provides the scenario. Enter the following numeric observations into A2:A8, one per row, with a header in A1. Use a spare result cell outside the input range.

Download the Google Sheets STDEV.P practice data (CSV). Import it into a new, blank sheet starting at A1, with a comma as the file delimiter and the header row retained. The CSV contains input values only, not formulas or native test results. Blank spacer columns place the requested position in D2 and any additional test data in column F. Keep observations numeric rather than importing them as text.

Example 1: Measure spread in the working register

=STDEV.P(A2:A8)

Expected result: 2.555506 (displayed to six decimal places).

The numeric count is 7, the mean is 10.428571, and the sum of squared deviations is 45.714286. Divide by 7 (n), then take the square root to return to the original measurement units.

Example 2: Check the denominator with three known numbers

=STDEV.P(2,4,6)

Expected result: 1.632993 (displayed to six decimal places).

The mean is 4 and the squared deviations are 4, 0 and 4, for a total of 8. The population denominator is 3, and the square root of that variance gives standard deviation.

Example 3: Do not confuse real zeros with missing data

For this check, use F2:F5 containing 0, 0, 8, 8, in that order. These values are included in the practice file.

=STDEV.P(F2:F5)

Expected result: 4.

All four observations are real measurements, including both zeros. The mean is 4 and the squared deviations total 64. Excluding the zeros would leave two equal values and falsely describe this group as having no spread.

Subtract the mean from each observation and square each difference. Add the squared differences and divide by n. Take the square root for standard deviation; the answer returns to the original measurement units. This mathematical definition is used to check the numbers in the examples, independently of the spreadsheet software. Keep stored results at full available precision and round only the final presentation when a report requires it. The displayed expectations above are rounded where necessary; a different number of displayed decimal places is not by itself a calculation error.

The population was not defined. Write down which records the range is meant to contain and which period they cover. A result can be mathematically correct while describing the wrong group.

The result differs from a sample calculation. The population calculation divides squared deviations by n, rather than n minus one. For the same nonconstant numeric data it is smaller than the sample standard deviation.

A zero or empty result is overinterpreted. Repeated equal numeric observations have zero spread; missing observations do not establish that fact. Count usable observations and review text, missing cells and errors before interpreting the output. Single-observation handling is deliberately not used in these examples.

Google lists STDEV.P as an alias of STDEVP in its function catalogue; the dedicated help page uses the older name. The dotted spelling is used in the examples so the name matches the Excel comparison guide. The STDEVP help specifies at least two supplied values. Do not assume that a one-value input is handled like it is in another program; the examples here contain three or more values.

The support-log example uses ordinary worksheet cells, not a BigQuery data column. Some Google help pages also show Connected Sheets syntax; that is not the syntax being demonstrated here. A ticket’s duration is entered as a number of minutes, not as a time-of-day text label.

For a shared log, agree on whether reopened tickets form new observations and whether each row represents one ticket or one agent action. Keep that decision consistent before comparing reporting periods. When collaborators paste data, inspect a small sample of numeric cells and confirm the selected range still ends at the intended row.

The examples use English function names and commas. Adjust the argument separator to the file’s locale as needed, while keeping decimal values and cell references intact. No import/export or native Google Sheets execution was performed for this guide.

For the same statistical question in other programs, see STDEV.P in Microsoft Excel, STDEV.P in ONLYOFFICE, STDEV.P in SoftMaker PlanMaker. These links identify corresponding measures, not a guarantee that names, mixed-data rules, error codes or file conversions are identical.

MEDIAN, LARGE, SMALL, RANK.EQ, STDEV.S, VAR.S, VAR.P. Browse the Google Sheets function library for the other published guides.

Editorial verification: The vendor documentation was reviewed on 2026-10-12. Scope: Ordinary Google Sheets cells using English function names. Connected Sheets / BigQuery column syntax is outside this guide. Three numeric examples were checked with an independent arithmetic model. No native application run was performed. Single-value population edge cases, mixed-data coercion, exact error-code parity and round-trip workbook compatibility remain untested; they are not labelled application-verified.