PERCENT_RANK function

Similar to the PERCENT function, the PERCENT_RANK function returns the rank for the value in the column specified in the window's ORDER BY clause, but expressed as a fraction between 0 an 1, calculated as (RANK - 1)/(- 1).

As the window moves down the input rows, the rank is calculated for the expression specified in the window's ORDER BY clause. If the ORDER BY clause includes multiple expressions, the second and subsequent expressions are used to break ties if the first expression has the same value in adjacent rows. NULL values are sorted before any other value (in ascending sequence).

Example 1

The following example returns a result set that shows the ranking of New York employees' salaries by gender. The results are ranked in descending order using a decimal percentage, and are partitioned by gender.

SELECT DepartmentID, Surname, Salary, Sex,
    PERCENT_RANK( ) OVER ( PARTITION BY Sex
      ORDER BY Salary DESC ) AS PctRank
  FROM Employees 
  WHERE State IN ( 'NY' );

This query returns the following results:

	DepartmentID	Surname	Salary	Sex	PctRank
1	200	Martel	55700.000	M	0.0
2	100	Guevara	42998.000	M	0.333333333
3	100	Soo	39075.000	M	0.666666667
4	400	Ahmed	34992.000	M	1.0
5	300	Davidson	57090.000	F	0.0
6	400	Blaikie	54900.000	F	0.333333333
7	100	Whitney	45700.000	F	0.666666667
8	400	Wetherby	35745.000	F	1.0

Since the input is partitioned by gender (Sex), PERCENT_RANK is evaluated separately for males and females.

Example 2

The following example returns a list of female employees in Utah and Arizona and ranks them in descending order according to salary. Here, the PERCENT_RANK function is used to provide a cumulative total in descending order.

SELECT Surname, Salary, 
     PERCENT_RANK ( ) OVER ( ORDER BY Salary DESC ) "Rank"
     FROM Employees 
WHERE State IN ( 'UT', 'AZ' ) AND Sex IN ( 'F' );

This query returns the following results:

	Surname	Salary	Rank
1	Shishov	72995.00	0
2	Jordan	51432.00	0.25
3	Hildebrand	45829.00	0.5
4	Bigelow	31200.00	0.75
5	Bertrand	29800.00	1

Using PERCENT_RANK to find top and bottom percentiles

You can use PERCENT_RANK to find the top or bottom percentiles in the data set. In the following example, the query returns male employees whose salary is in the top five percent of the data set.

SELECT * 
FROM ( SELECT Surname, Salary, 
       PERCENT_RANK ( ) OVER ( ORDER BY Salary DESC ) "Rank"
       FROM Employees 
       WHERE Sex IN ( 'M' )  ) 
       AS DerivedTable ( Surname, Salary, Percent )
WHERE Percent < 0.05;

This query returns the following results:

	Surname	Salary	Percent
1	Scott	96300.00	0
2	Sheffield	87900.00	0.025
3	Lull	87900.00	0.025

PERCENT_RANK function

Example 1

Example 2

Using PERCENT_RANK to find top and bottom percentiles

See also