The n^{th} **percentile** of a dataset is the value that cuts off the first *n* percent of the data values when all of the values are sorted from least to greatest.

For example, the 90th percentile of a dataset is the value that cuts of the bottom 90% of the data values from the top 10% of data values.

The easiest way to calculate percentiles for a variable in SPSS is to use **Analyze** > **Descriptive Statistics** > **Percentiles**.

The following example shows how to calculate percentiles in practice.

**Example: How to Calculate Percentiles in SPSS**

Suppose we have the following dataset that contains information about points scored by basketball players on various teams:

Suppose that we would like to calculate percentiles for the **Points** variable.

To do so, click the **Analyze** tab, then click **Descriptive Statistics**, then click **Percentiles**:

In the new window that appears, drag the **Points** variable into the **Variables** panel.

By default, SPSS will calculate the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles.

Once we click **OK**, we can see each of these percentiles for the **Points** variable:

For example, we can see:

- The value at the 5th percentile is
**8.8**. - The value at the 10th percentile is
**12.4**. - The value at the 25th percentile is
**14**.

And so on.

**Note**: **Tukey’s Hinges** are simply the values at the 25th, 50th and 75th percentiles. These represent the first, second and third quartiles of the dataset, which are the values that divide the dataset into four pieces.

If you’d like, you could also specify the exact percentiles to calculate by clicking the button next to **Custom** and then manually typing the percentile values and clicking **Add** after each value.

For example, we could enter the percentiles ranging from 10 to 90 by intervals of 10:

Once we click **OK**, these percentile values will automatically be calculated for the **Points** variable:

For example, we can see:

- The value at the 10th percentile is
**12.4**. - The value at the 20th percentile is
**13.8**. - The value at the 30th percentile is
**14.4**.

And so on.

**Additional Resources**

The following tutorials explain how to perform other common operations in SPSS:

How to Calculate the Coefficient of Variation in SPSS

How to Create a Correlation Matrix in SPSS

How to Calculate Z-Scores in SPSS