Synthetic Human Mobility Predictions for European NUTS3 Regions

Synthetic data predicts mobility flows across all NUTS3 regions in Europe. It is derived from IPUMS International microcensus data and was created by Nick Ruktanonchai at the University of Southampton. The dataset is shared under an Open Access license.

Use Cases

• Modeling inter-regional migration flows based on synthetic predictions.
• Calibrating agent-based simulations with synthetic mobility data for Europe.
• Analyzing spatial connectivity patterns between NUTS3 administrative units.
• Training or validating mobility prediction algorithms using synthetic ground truth.

Strengths

• Covers all NUTS3 regions in Europe, providing a complete spatial scope.
• Derived from authoritative IPUMS International microcensus data.
• Created by a researcher at a recognized academic institution.

Limitations

• Row count and data volume are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

IPUMS International microcensus data.

Collection Method

Synthetic generation based on source microdata.

Geography

Europe, at the NUTS3 regional level.