Population mobility and commuting data
How populations move between home, work and services underpins transport, retail and policy decisions. This guide covers population mobility and commuting data, sourced responsibly.
Available across the EU. DataSupplier sources and delivers this data in all 27 European Union countries — including Germany, France, Spain, Italy, the Netherlands and Poland — and across the EEA, in the format and cadence you need.
Why mobility patterns matter
Origin-destination flows and commuting patterns reveal how places connect, essential for transport planning, catchment analysis and policy. Aggregated mobility data fills gaps that surveys cannot.
The data landscape
- Origin-destination: aggregated flows between areas.
- Commuting: home-to-work patterns.
- Modal split: how trips are made.
- Temporal: patterns by time and day.
Sources and privacy
Mobility patterns derive from surveys, census and device or network signals. Device-derived data must be robustly aggregated and anonymised, the privacy boundary is decisive for lawful use.
Common use cases
Transport and infrastructure planning, retail catchment and site analysis, policy and accessibility studies, and demand modelling.
Sourcing considerations
Representativeness, spatial granularity and small-area suppression matter. Combining census-based and device-derived flows adds robustness, with consistent geographies.
In a managed model
A managed partner can source aggregated origin-destination and commuting data with verified anonymisation.
Aggregation is decisive
Origin-destination flows and commuting patterns derive from surveys, census and device or network signals; device-derived data must be robustly aggregated and anonymised to be lawful. Representativeness, spatial granularity and small-area suppression all shape what the data can support.
Consistent geographies
Combining census-based and device-derived flows on consistent geographies adds robustness for transport planning, catchment and policy analysis. The GDPR applies wherever movements relate to individuals, so aggregation and documented method are essential.
- OD flows and commuting reveal how places connect.
- Combine survey, census and aggregated device-derived flows.
- Device-derived data must be robustly aggregated and anonymised.
- Mind representativeness, granularity and small-area suppression.
Sources & further reading
- Eurostat and census: commuting statistics.
- National travel surveys.
- EDPB: guidance on aggregated location data.
- EUR-Lex: Regulation (EU) 2016/679 (GDPR).
We source aggregated origin-destination and commuting data with verified anonymisation. Get a no-obligation quote.