Two Numbers, Two Stories
When the government or a news outlet reports on American wages, they often cite either the median wage or the average (mean) wage. These two figures can differ substantially — and choosing which one to highlight can dramatically shape the narrative around worker pay in the United States.
Understanding the difference isn't just an academic exercise. It affects how you evaluate job offers, understand your position in the labor market, and interpret economic policy debates.
What Is the Average (Mean) Wage?
The average wage is calculated by adding up the total wages earned by all workers in a group and dividing by the number of workers. It's the standard arithmetic mean most people learned in school.
The problem with averages in wage data is that they are highly sensitive to outliers at the top. A relatively small number of extremely high earners — executives, elite professionals, high-frequency traders — can pull the average significantly upward, making it appear that typical workers earn more than they actually do.
What Is the Median Wage?
The median wage is the midpoint of all wages when workers are ranked from lowest to highest earner. Exactly half of all workers earn more than the median, and half earn less.
Because the median is a positional measure rather than a mathematical one, it is far less affected by extreme values. This makes it a more accurate representation of what a "typical" American worker earns.
A Simple Example
Imagine a company with five employees earning the following annual salaries:
- $30,000
- $35,000
- $40,000
- $45,000
- $500,000 (the CEO)
The average salary is $130,000 — which none of the five employees actually earn. The median salary is $40,000 — which far better represents the experience of most workers at that company.
Where the BLS Reports Each Measure
The Bureau of Labor Statistics publishes both types of data through different programs:
| BLS Program | Wage Measure Used | Key Data |
|---|---|---|
| Occupational Employment and Wage Statistics (OEWS) | Both mean and median | By occupation, industry, and geography |
| Current Population Survey (CPS) | Median | Weekly earnings by demographic group |
| National Compensation Survey | Mean | Benefits and compensation costs |
Why High Earners Skew the Average
Wage distributions in the U.S. are not symmetric — they are right-skewed, meaning there is a long tail of very high earners while most workers cluster near the lower end of the distribution. In a right-skewed distribution, the mean is always pulled higher than the median.
This skew has grown over recent decades as wage growth has been disproportionately concentrated at the top of the income distribution, widening the gap between the median and mean figures.
Which Should You Use?
For most purposes involving worker welfare, poverty analysis, and understanding what typical workers earn, the median is the more appropriate measure. When analyzing total compensation costs for employers or economic output, the mean can be more useful.
The next time you read a headline about rising wages, check whether it's citing median or average figures — the distinction often changes the story considerably.