In statistics, the **median** represents the middle value of a dataset.

It is also equal to the value located at the 50th percentile.

The median is calculated by arranging all of the observations in a dataset from smallest to largest and then identifying the middle value.

The easiest way to calculate the median of a dataset in SPSS is to use **Analyze** > **Descriptive Statistics** > **Frequencies**.

The following example shows how to do so in practice.

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

Suppose we have the following dataset in SPSS that shows the exam scores received by various students in some class:

To calculate the median value of exam scores, click the **Analyze** tab, then click **Descriptive Statistics**, then click **Frequencies**:

In the new window that appears, drag **Exam_Score** to the **Variables** panel:

Then click the **Statistics **button. In the new window that appears, check the box next to **Median** under the **Central Tendency** group:

Then click **Continue**. Then click **OK**.

The following output will appear:

In the first table of the output titled **Statistics**, the median value for exam score is displayed: **92**.

This represents the “middle” value of exam scores.

We can verify that this is correct by manually arranging all of the values from the exam score column from smallest to largest and identifying the middle value:

**Exam Scores**: 68, 76, 85, 86, 88, 88, 91, **92**, 94, 95, 95, 96, 97, 97, 97

The value **92** is indeed the middle value.

**Related:** Advantages & Disadvantages of Using Median in Statistics

**Additional Resources**

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

How to Calculate a Five Number Summary in SPSS

How to Create a Frequency Table in SPSS

How to Calculate Percentiles in SPSS