Average Calculator

Enter numbers separated by commas, spaces, or new lines to calculate mean, median, mode, and range.

Separate numbers with commas, spaces, or new lines

Mean

—

Arithmetic average

Median

—

Middle value

Mode

—

Most frequent

Range

—

Max − Min

Sum

—

Total of all values

Count

—

Number of values

Mean, Median & Mode Explained

Mean (Arithmetic Average)

Add all the numbers and divide by how many there are. The mean is sensitive to extreme values (outliers).

Example: 10 → Mean = 30 / 5 = 6

Median

Sort the numbers and find the middle value. If there is an even count, take the average of the two middle values. The median is robust against outliers.

Example: 20 → Median = 9

Even count: 15 → Median = (7+9)/2 = 8

Mode

The value that appears most frequently. A dataset can have no mode, one mode, or multiple modes.

Example: 4 → Mode = 2

Range

The difference between the largest and smallest values. It gives a quick sense of how spread out the data is.

Example: 7 → Range = 18 - 3 = 15

When to Use Each

  • Mean: General purpose, symmetric data
  • Median: Skewed data, income, home prices
  • Mode: Categorical data, most popular item

Frequently Asked Questions

What is the difference between mean and average?
In everyday language, "average" and "mean" are used interchangeably and both refer to the arithmetic mean — the sum of all values divided by the count of values. Technically, "average" is a broader term that can include median and mode, but in most contexts they mean the same thing.
When is the median a better measure than the mean?
The median is better when your data has extreme outliers or is heavily skewed. For example, with incomes of $30K, $35K, $40K, $45K, and $500K, the mean ($130K) is misleading because one outlier pulls it up. The median ($40K) better represents the typical value.
What if there is no mode in my data?
If every value in your dataset appears the same number of times (e.g., all values are unique), there is no mode. The calculator will display "No mode" in this case. A dataset can also have multiple modes — if two or more values tie for the highest frequency, all are listed.
How is range different from standard deviation?
Range is the simplest measure of spread: just the difference between the largest and smallest values. Standard deviation is more sophisticated — it measures how far each value is from the mean on average. Range is affected heavily by outliers, while standard deviation considers all data points.

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