The time needed to get $1 in international dollars is 63 minutes in the US. This is about twice the average in Germany, France and the UK according to an Oxford University researcher. This suggests that average poverty is significantly higher in the US.
Averages are affected a lot by outliers with very large values, and the effect is larger when there’s large inequalities. If measuring by income or wealth (higher is better) in a stadium with 1 billionaire and 999 homeless people, the average people is millionnaire.
This study still uses averages and flips the effect with a povery score (higher is worse). It gives more weight to the other end of a spectrum, very poor persons that need 300min to win 1$ makes the average much higher.
Using median values, or better 20-80 centiles values would be more meaningful.
I mean giving the lower end more weight is kind of the whole point of this exercise. The effect you’re describing is a good thing in this scenario.