Median issue using pandas

I am using pandas and when calculating a value grouped by age the median value becomes constant to 4 decimal places. However there is viability in the mean and also the 25% and 75% values. I am perplexed.

AGE count mean std 25% 50% 75%
60 815245.0 23.599504 16.439208 13.986 19.2308 28.8462
55 902321.0 23.657671 16.805344 13.8462 19.2308 28.8462
50 848040.0 23.227857 15.390702 13.8166 19.2308 28.0449

Without more information on the variable you are calculating by age group, it is hard to provide much insight. Assuming the other quartile values are about what you would expect, it could be a rounding issue, but I am not a pandas user.