My hunch is leaning towards the opposite. Social economic status is determine from primarily income, education and occupation, and each three is correlated to age groups and gender to a point where one can make pretty decent probability curves for each. There are not many 20 years old that share income of 55 years old. Naturally there aren't many phd's or people working senior positions at a very young age.
If we look at age groups, 20-29 is the most common age for criminals to be found guilty by the justice system which matches the age when people exit from schools and have the lowest amount of income and highest rate of unemployment. High crime areas also tend to have a lower median age than low crime areas. For being shot by a cop, this age jumps a bit to 30-40, but I don't know why.
The general problem with this kind of statistics is that you will always end up with correlations that goes both way. If a country has a massive wave of refugees of a certain age, refugees with a lower social economic status that the existing population, you get an obvious correlation with social economic status, age and refugee status. At which point some statistician try to normalize values and those numbers suddenly becomes a discussion about which factors are considered and which ones aren't.
Is the justice system ageist, sexist, racist, and -phobic? When it tries to do a risk assessment based on little else than demographic data then yes.
If we look at age groups, 20-29 is the most common age for criminals to be found guilty by the justice system which matches the age when people exit from schools and have the lowest amount of income and highest rate of unemployment. High crime areas also tend to have a lower median age than low crime areas. For being shot by a cop, this age jumps a bit to 30-40, but I don't know why.
The general problem with this kind of statistics is that you will always end up with correlations that goes both way. If a country has a massive wave of refugees of a certain age, refugees with a lower social economic status that the existing population, you get an obvious correlation with social economic status, age and refugee status. At which point some statistician try to normalize values and those numbers suddenly becomes a discussion about which factors are considered and which ones aren't.
Is the justice system ageist, sexist, racist, and -phobic? When it tries to do a risk assessment based on little else than demographic data then yes.