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Oracle® Database SQL Language Reference
11g Release 2 (11.2)

Part Number E17118-03
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STDDEV_POP

Syntax

Description of stddev_pop.gif follows
Description of the illustration stddev_pop.gif

See Also:

"Analytic Functions" for information on syntax, semantics, and restrictions

Purpose

STDDEV_POP computes the population standard deviation and returns the square root of the population variance. You can use it as both an aggregate and analytic function.

This function takes as an argument any numeric data type or any nonnumeric data type that can be implicitly converted to a numeric data type. The function returns the same data type as the numeric data type of the argument.

See Also:

Table 3-10, "Implicit Type Conversion Matrix" for more information on implicit conversion

This function is the same as the square root of the VAR_POP function. When VAR_POP returns null, this function returns null.

See Also:

Aggregate Example

The following example returns the population and sample standard deviations of the amount of sales in the sample table sh.sales:

SELECT STDDEV_POP(amount_sold) "Pop", 
   STDDEV_SAMP(amount_sold) "Samp"
   FROM sales;

       Pop       Samp
---------- ----------
896.355151 896.355592

Analytic Example

The following example returns the population standard deviations of salaries in the sample hr.employees table by department:

SELECT department_id, last_name, salary, 
   STDDEV_POP(salary) OVER (PARTITION BY department_id) AS pop_std
   FROM employees
   ORDER BY department_id, last_name, salary, pop_std;

DEPARTMENT_ID LAST_NAME                     SALARY    POP_STD
------------- ------------------------- ---------- ----------
           10 Whalen                          4400          0
           20 Fay                             6000       3500
           20 Hartstein                      13000       3500
           30 Baida                           2900  3069.6091
. . .
         100 Urman                           7800 1644.18166
          110 Gietz                           8300       1850
          110 Higgins                        12000       1850
              Grant                           7000          0