The geometric mean is a measure of central tendency that equals the n^{th} root of the product of n numbers.

Like the arithmetic mean, the geometric mean finds the center of a dataset. While the arithmetic mean finds the center by summing the values and dividing by the number of observations, the geometric mean finds the center by multiplying and then taking a root of the product.

Based on the calculation methods, the arithmetic mean is the better statistic when adding data is appropriate, while the geometric mean is better when you need to multiply the data.

Use the geometric mean when your subject area requires you to multiply your values or uses exponents. For example, use the geometric mean for interest rates, rates of return, and data that follow the lognormal distribution. All these applications involve multiplication (i.e., products) rather than addition. For example, interest rate calculations include multiplying the principal by the rate. Additionally, the multiplication of random variables often produces lognormal distributions.

In this post, learn how to find the geometric mean with step-by-step instructions, know when to use it, and how to interpret it. I’ll work through a real-life example of when it’s appropriate to use the geometric mean.

**Related posts**: Measures of Central Tendency and Arithmetic Mean

## How to Find the Geometric Mean

The formula for the geometric mean is the following:

Where:

- X = the values of your variable.
- n = the number of values in your dataset.

To describe this process using words, the geometric mean is the nth root of the product of n values.

To find the geometric mean, multiply all your values together and then take a root of it. The root depends on the number of values in your dataset. If you have two values, take the square root. With three values take the cube root. With four values, take the 4^{th} root, and so on.

All of your data must have positive values. For any given dataset, the geometric mean is almost always less than the arithmetic mean. The exception occurs when your dataset contains identical numbers (e.g., all 5s). In that case, the geometric mean equals the arithmetic mean.

Let’s work through several examples with step-by-step instructions.

### Example with Two Values

Imagine you have two values of 5 and 20 and need to find the geometric mean.

- Multiply the two numbers: 5 *20 = 100.
- Because there are two values, take the square root of 100, which equals 10.

Therefore, the geometric mean of these two numbers is the following:

In geometry, imagine a rectangle that has two sides of 5 and 20. The area equals 100. The geometric mean tells you the size of the square (which must have equal sides) that produces the same area as the rectangle.

For this example, a square with equal sizes of 10 produces the same area as the 5 X 20 rectangle.

5 X 20 = 10 X 10 = 100

### Example with Three Values

Suppose you have three values 5, 12, 22.

- Multiply the three numbers: 5 *12 * 22 = 1320.
- Because there are three values, take the cube root of 1320, which equals 10.97.

Therefore, the geometric mean of these three numbers is the following:

In geometry, imagine you have a rectangular box with three sides of 5 X 12 X 22. The volume of this box equals 1320. The geometric mean tells you the size of the cube (which must have equal sides) that produces the same volume as the rectangular box.

5 X 12 X 22 = 10.97 X 10.97 X 10.97 = 1320

## Interpreting the Geometric Mean

First, let’s look at the more familiar arithmetic mean. This statistic calculates a number that sums to the total value of your dataset given its sample size.

Suppose your dataset has these five values: 8, 10, 12, 14, 16. They sum to 60.

The arithmetic mean of these values is 60 / 5 = 12. Therefore, five 12s sum to 60:

8 + 10 + 12 + 14 + 16 = 12 + 12 + 12 + 12 + 12 = 60.

The geometric mean calculates a number that produces the same product as your sample. Using the above dataset, the product is the multiplication of all five values: 8 X 10 X 12 X 14 X 16 = 215,040.

The geometric mean is the 5^{th} root of this product:

The geometric mean of these values is 11.655. Therefore:

8 X 10 X 12 X 14 X 16 = 11.655 X 11.655 X 11.655 X 11.655 X 11.655 = 215,040

Alternatively, 8 X 10 X 12 X 14 X 16 = 11.655^{5}.

The geometric mean is a good statistic when you multiply a set of varying numbers and need to find a constant number that produces the same product. I’ll show you a real-life example in the next section!

## When to Use the Geometric Mean

As you can see in the calculations, the geometric mean involves multiplying values. Hence, when your subject area involves multiplication, consider using the geometric mean. This need often occurs when you’re working with interest rates and growth rates because they involve multiplication.

When working with interest rates, you multiply the principal by the interest rate, and you need to factor in compounding over time. Suppose you have a principle of $1,000 and a 10% annual interest rate. In the first year, you’ll earn $1,000 X 10% = $100 in interest and have a total of $1,100. For the second year, you apply the interest rate to the principle of $1000 plus the $100 of previous interest. That’s compounding, and the geometric mean accounts for it.

Use the geometric mean when working with the interest/growth rates rather than the actual dollar or population amounts. Depending on the type of growth rate in your study, the geometric mean calculates the compounded annual growth rate, the average annualized rate, or the average growth rate.

### Interest Rate Example

Let’s work through an interest rate example. However, throughout this example, you could replace the words “interest rate” with “growth rate” to see how you’d use the geometric mean with population growth rates.

Suppose you have nine years of interest rates: 10%, 13%, 9%, 14%, 11%, 13%, 15%, 9%, 11%. Your starting balance is $10,000 and the ending balance is $26,955.74. You want to calculate the average annualized interest rate. In other words, while the actual interest rate fluctuated over the nine years, what is the average rate that would produce the same total growth?

To solve this type of question, add 1 to all your interest rates (e.g., 10% becomes 1.10, etc.) Then calculate the geometric mean for these values. For our example, we need to calculate the geometric mean for this dataset: 1.10, 1.13, 1.09, 1.14, 1.11, 1.15, 1.09, 1.11.

Here’s the formula for the geometric mean for these data:

The geometric mean is 1.1165. This value indicates that the average annualized rate of return is 11.65%. If you start with a balance of $10,000 and have a constant annual rate of return of 11.65% for nine years, you’ll finish with a balance of $26,955.74. That’s the same final balance as with the actual, varying interest rates.

In other words, the geometric mean finds the constant interest rate you multiply each year to achieve the same growth as the variable interest rates over those years.

Rakesh Sudan says

Why dont we take Geometric mean of u and v when we derive distance equation from v=u +at ? ,where v is final velocity;u is initial velocity;t is time ;a is rate of change of velocity

Rudne Brojan Perillo says

Wow, thanks for your very clear explaination.

Zuhaib Rashid says

Thank you so much for making it so clear to understand.

Jeremy says

Excellent article on a term that I’ve heard before but didn’t know what it means. I’d like to see more applications of the geometric mean in population sciences and epidemiology. Thanks, Jim!

Jim Frost says

Hi Jeremy,

While those aren’t my fields of study, I’d imagine that they both use the geometric mean when assessing growth rates of people and diseases!

Azzeddine says

Thank you for all

Outstanding work and effort worthy of respect

Hearty congratulations for all you do

Jim Frost says

Thanks so much!