Field note · March 9, 2026

gdp_per_capita_usd: mean 26,959, median 20,761

A 29.9% gap between mean and median on one column, and which of the two answers the question you were asked.

1 min read ·Statistics ·statistics practice

A number worth keeping: on world-indicators, gdp_per_capita_usd has a mean of 26,959 and a median of 20,761.

The mean is 26,959. The median is 20,761. That is a gap of 29.9%, and it is not noise — the p90 is 60,349 and the max is 140,012, so the top of the distribution is dragging the average somewhere a minority of rows actually live.

sql
select
  avg(gdp_per_capita_usd)                                                     as mean,
  percentile_cont(0.5) within group (order by gdp_per_capita_usd)             as median,
  percentile_cont(0.9) within group (order by gdp_per_capita_usd)             as p90,
  max(gdp_per_capita_usd)                                                     as max
from world_indicators;

The practical consequence is that "average gdp per capita usd" answers a question nobody asked. If someone wants to know what a typical row looks like, the median answers it. If someone is forecasting a total, the mean is the right tool and the skew does not matter, because the mean times the count is the total.

So the rule is not "never use the mean". It is: name which question you are answering, then pick the statistic that answers it. A report that shows 26,959 with no median next to it has quietly decided you meant the first question.

There is a longer version of this in Describing a column without lying, and the pattern is the short one.