MEANS Procedure

Tip:	You can use the ATTRIB, FORMAT, LABEL, and WHERE statements. For more information, see Statements with the Same Function in Multiple Procedures. You can also use any global statement. For a list, see “Global Statements” in SAS DATA Step Statements: Reference.

Syntax

Table of Procedure Tasks and Examples

Syntax

PROC MEANS <options> <statistic-keyword(s)>;

BY <DESCENDING> variable-1 <<DESCENDING> variable-2 ...> <NOTSORTED>;

CLASS variable(s) </ options>;

FREQ variable;

ID variable(s);

OUTPUT <OUT=SAS-data-set> <output-statistic-specification(s)>
<id-group-specification(s)> <maximum-id-specification(s)>
<minimum-id-specification(s)> </ options> ;

TYPES request(s);

VAR variable(s) </ WEIGHT=weight-variable>;

WAYS list;

WEIGHT variable;

Table of Procedure Tasks and Examples

Statement	Task	Example
PROC MEANS	Compute descriptive statistics for variables	Ex. 1, Ex. 2, Ex. 3, Ex. 4, Ex. 5, Ex. 6, Ex. 7, Ex. 8, Ex. 9, Ex. 10, Ex. 12, Ex. 13
BY	Calculate separate statistics for each BY group	Ex. 3
CLASS	Identify variables whose values define subgroups for the analysis	Ex. 2, Ex. 3, Ex. 4, Ex. 5, Ex. 6, Ex. 7, Ex. 8, Ex. 9, Ex. 10, Ex. 11, Ex. 12
FREQ	Identify a variable whose values represent the frequency of each observation
ID	Include additional identification variables in the output data set
OUTPUT	Create an output data set that contains specified statistics and identification variables	Ex. 8, Ex. 9, Ex. 10, Ex. 11, Ex. 12
TYPES	Identify specific combinations of class variables to use to subdivide the data	Ex. 2, Ex. 5, Ex. 12
VAR	Identify the analysis variables and their order in the results	Ex. 1
WAYS	Specify the number of ways to make unique combinations of class variables	Ex. 6
WEIGHT	Identify a variable whose values weight each observation in the statistical calculations	Ex. 6

Last updated: September 15, 2026