Socio-economic data: how to take advantage of this in mobility projects?

Socio-economic data is central to the decision-making on mobility projects. This data gathers information at the scale of territories such as region or small cities: it includes the population's age but also jobs and transportation modes. Its application involves any stakeholder acting on the given territory (economist, mobility engineer, town planner, etc.). It helps know the territories in depth to lead mobility projects, from their plannings. How can we understand this data and what tools do we have to analyze them today?