Why do you recommend using median income instead of average income?
Let’s say you had the following simplified population & income numbers:
Person 1: | $30,000 |
Person 2: | $50,000 |
Person 3: | $1,000,000 |
The average income for this population is $360,000. The outlier data point ($1,000,000) skews the average up. Also, the average would be skewed down if there was a person with $0 in income.
The median income for the same population above is $50,000. The outlier data point ($1,000,000) doesn’t skew the median.
If the data are equally distributed (i.e. $30K, $40K, $50K), then the average number won’t be skewed by outliers. But if the data are unequally distributed, as in the case of income, then the median is the better statistic.