Understanding Mobility Patterns in Europe: A Demographic and Educational Flow Model

Who moves in Europe today and with what skills? Migration debates often focus on simple numbers alone. But to understand regional resilience, we need to know more: the age, education level and demographic profile of those who leave, arrive, and move within countries.

This new PREMIUM_EU deliverable presents a harmonised dataset of migration flows between and within European countries, disaggregated by age, sex and educational attainment. It provides a consistent and multidimensional picture of mobility patterns across Europe, at both national and NUTS3 regional level.

A New Level of Detail on European Mobility

Reliable migration data across Europe is fragmented. Countries define migrants differently, collect data at different levels, and rarely combine demographic and educational characteristics in a consistent way.

This report addresses that gap. It integrates:

1. Bilateral migration flows between European countries


2. Interregional migration flows within countries (NUTS3 level)


3. Age and sex breakdowns


4. Educational attainment (low, medium, high)

Using demographic accounting methods, machine learning models and iterative proportional fitting techniques, the dataset reconstructs the educational composition of migration flows. It also estimates regional net migration by age, gender and level of education — even where such data is not directly available.

The result is a harmonised evidence base that makes European mobility comparable across regions and over time.

What the Data Makes Visible

Looking at migration through a demographic and educational lens reveals patterns that raw inflow and outflow numbers conceal.

First, mobility is highly selective. Young adults dominate migration flows, and educational transitions are closely intertwined with movement between regions and countries.

Second, regions do not simply “gain” or “lose” population. They gain and lose specific types of human capital. Some regions attract highly educated migrants but lose young people with medium qualifications. Others retain lower-skilled workers but struggle to attract graduates.

Third, internal migration within countries is as consequential as international migration. For many regions, interregional flows shape demographic ageing, labour markets and educational composition just as strongly as cross-border movements.

By estimating flows consistently across Europe, the report makes it possible to analyse these dynamics systematically rather than anecdotally.

From Data to Regional Resilience

Understanding who moves is central to understanding brain drain, labour shortages and uneven regional development.

The dataset developed in this report feeds directly into the PREMIUM_EU multidimensional population model and the upcoming Regional Policy Dashboard. Together, they allow policymakers to:

1. Assess how migration reshapes regional age and education structures


2. Identify regions at risk of human capital depletion


3. Compare internal and international mobility dynamic


4. Explore future demographic scenarios

Rather than treating migration as either a problem or a solution, this report provides the tools to examine its structural effects on regional demographic change.

Why This Report Matters Now

Europe is facing rapid demographic ageing, labour market transformation and geopolitical instability. Migration flows, both internal and international, are central to how regions adapt to these pressures.

Without detailed, harmonised data on who moves and with what skills, policy responses risk being reactive and poorly targeted.

This deliverable provides the empirical foundation needed to design evidence-based policies that turn mobility into an asset for both sending and receiving regions.

Download the full report to explore the methodology and findings in detail, and follow the development of the PREMIUM_EU Policy Dashboard, where these migration insights will become directly applicable for regional decision-makers.

Download report