SUBTOTAL functionReturns a subtotal for a vertical range of cells using a specified aggregation function.

Sample Usage

SUBTOTAL(1,A2:A5,B2:B8)

Syntax

SUBTOTAL(function_code, range1, [range2, …])

function_code – The function to use in subtotal aggregation.

1 is AVERAGE

2 is COUNT

3 is COUNTA

4 is MAX

5 is MIN

6 is PRODUCT

7 is STDEV

8 is STDEVP

9 is SUM

10 is VAR

11 is VARP

Hidden values can be skipped for any of these codes by prepending 10 (to the single-digit codes) or 1 (to the 2-digit codes). e.g. 102 for COUNT while skipping hidden cells, and 110 for VAR while doing so.

range1 – The first range over which to calculate a subtotal.

range2, … – Additional ranges over which to calculate subtotals.

Notes

Cells that are hidden due to autofilter criteria are never included in SUBTOTAL, irrespective of the function_code used.

Cells within any of the specified range arguments that contain SUBTOTAL calls are ignored to prevent double-counting.

SUBTOTAL can be used to created dynamic dashboards by having the function code argument refer to another cell. When combined with list-based data validation, this cell can become a drop-down list that instantly updates the entire dashboard.

SUBTOTAL can be used for quick analysis of different subsets of data by building a subtotal dashboard above a filtered region. Each time the filter criteria change, the dashboard will automatically update with new aggregations.

Using SUBTOTAL helps prevent double-counting associated with simple SUM formulas.

See Also

VARP: Calculates the variance based on an entire population.

VAR: Calculates the variance based on a sample.

SUM: Returns the sum of a series of numbers and/or cells.

STDEVP: Calculates the standard deviation based on an entire population.

STDEV: The STDEV function calculates the standard deviation based on a sample.

PRODUCT: Returns the result of multiplying a series of numbers together.

MIN: Returns the minimum value in a numeric dataset.

MAX: Returns the maximum value in a numeric dataset.

COUNTA:

Returns the number of values in a dataset.

COUNT:

Returns the number of numeric values in a dataset.

AVERAGE: The AVERAGE function returns the numerical average value in a dataset, ignoring text.

Examples