Road Traffic - IRF World Road Statistics 2025

The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.

Updated Thu Nov 13 2025

Overview

This dataset contains road traffic measurements expressed as vehicle-kilometres travelled, aggregated by vehicle class and by road category. The data provide a high-level view of driving activity and mobility patterns across different road categories and vehicle types, enabling comparative analyses over time, across regions, or under varying traffic conditions.

Key Variables

Vehicle-kilometres: The primary metric, representing the total distance travelled by vehicles of a given class. Calculated as the sum of each vehicle’s kilometres driven within the specified scope.

Vehicle class: Categorical variable identifying the type of vehicle contributing to the recorded traffic. Common classes include:

  • Passenger cars

  • Buses and Motor Coaches

  • Vans and Pickups

  • Lorries and Road Tractors

  • Motorcycles and Mopeds

Road category: Categorical variable describing the roadway context. Typical categories include:

  • Motorway / Highway

  • Main or National roads

  • Secondary or Regional roads

  • Other roads (urban or rural)

Description

The latest edition of the IRF World Road Statistics is available for free through the IRF Data Warehouse. This edition encompasses data for the years 2018 - 2023, for over 200 countries and territories, and over 200 indicators.

Keywords
road traffic
wrs
Sources
Contributors
  • ariskops
Reference Period
January 1, 2000 - December 31, 2023
Last updated date
November 13, 2025
Region
Visibility
Public
License
-

Schedule

DATESTATUS

Citation format

Accurate citations in multiple formats

International Road Federation (IRF). (2025). Road Traffic - IRF World Road Statistics 2025 [Data set]. International Road Federation (IRF). false


@techreport{2025,
   author = {International Road Federation (IRF)},
   year = 2025,
   title = {Road Traffic - IRF World Road Statistics 2025},
   institution = {International Road Federation (IRF)},
   url = {false}
}