France regional council rail passenger trains
France regional council rail passenger trains stood at 2.01 billion passenger-km in Mar 2026, according to INSEE – Institut national de la statistique et des études économiques (BDM). It is one of the indicators in the Monthly transport traffic table (Value · Monthly), with a complete series running from Jan 1998 to Mar 2026. The complete series with an interactive chart, free to download.
This indicator in the Monthly transport traffic table
| Indicator | 03-2026 | 02-2026 | 01-2026 | 12-2025 | 11-2025 | 10-2025 | 09-2025 | 08-2025 | 07-2025 | 06-2025 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rail passenger trains under provincial Regional Councils agreement (excepting Corse) | 2.01 | 1.87 | 1.91 | 2.11 | 1.91 | 2.07 | 1.95 | 1.91 | 2.02 | 2.09 | |
| Domestic rail passenger transport - All high-speed trains | 5.67 | 5.09 | 5.25 | 5.89 | 5.58 | 6.16 | 5.58 | 6.3 | 6.5 | 6.08 | |
| Domestic rail passenger transport (total excluding trains under Île-de-France mobilités agreement) | 7.64 | 6.95 | 7.11 | 8.33 | 7.79 | 8.58 | 7.84 | 8.62 | 8.95 | 8.55 |
Understanding france regional council rail passenger trains
Passenger movement facilitated by localized rail services operating under the formal administrative agreements of provincial Regional Councils is quantified in this dataset, excluding operations on the island of Corse. The measurement multiplies total commuter headcounts by the specific distance covered across these decentralized regional networks, capturing daily localized transit outside of national intercity and high-speed corridors. It isolates the segment of public rail infrastructure directly funded, planned, and managed by sub-national regional authorities rather than centralized state bodies.
Evaluating this regional mobility indicator necessitates accounting for local academic calendars, municipal holiday periods, and weather-related disruptions that disproportionately affect commuter flows. Early monthly figures are frequently subject to revisions as decentralized administrative bodies finalize operational returns and passenger validation tallies. When performing longitudinal analysis, users should rely on year-on-year comparisons to eliminate strong seasonal distortions, while taking care not to conflate these decentralized regional routes with centralized intercity or high-speed rail networks.
Frequently asked questions
- Which specific geographic area is excluded from these regional council rail statistics?
- Rail passenger transport operating on the island of Corse is explicitly omitted from this dataset.
- Why is year-on-year comparison preferred over month-on-month observation for regional rail data?
- Comparing corresponding months removes the strong recurring influence of academic calendars and local holiday schedules.
- How does this series distinguish itself from national intercity rail measures?
- This metric exclusively tracks lines governed by provincial Regional Council agreements rather than centralized state or high-speed routes.