  Evaluating relative changes leads to additional insights which would remain
hidden when only evaluating absolute changes. We analyze a dataset describing
mobility of mobile phones in Austria before, during COVID-19 lock-down measures
until recent. By applying compositional data analysis we show that formerly
hidden information becomes available: we see that the elderly population groups
increase relative mobility and that the younger groups especially on weekends
also do not decrease their mobility as much as the others.
