  Human mobility has been traditionally studied using surveys that deliver
snapshots of population displacement patterns. The growing accessibility to ICT
information from portable digital media has recently opened the possibility of
exploring human behavior at high spatio-temporal resolutions. Mobile phone
records, geolocated tweets, check-ins from Foursquare or geotagged photos, have
contributed to this purpose at different scales, from cities to countries, in
different world areas. Many previous works lacked, however, details on the
individuals' attributes such as age or gender. In this work, we analyze
credit-card records from Barcelona and Madrid and by examining the geolocated
credit-card transactions of individuals living in the two provinces, we find
that the mobility patterns vary according to gender, age and occupation.
Differences in distance traveled and travel purpose are observed between
younger and older people, but, curiously, either between males and females of
similar age. While mobility displays some generic features, here we show that
sociodemographic characteristics play a relevant role and must be taken into
account for mobility and epidemiological modelization.
