
New Traffic Scorecard Adds Commute Behavior Analysis
The 2019 Global Traffic Scorecard constitutes the most detailed account of commuter behavior to date. In prior reports, the primary...
Read OnThe most in-depth congestion and mobility study of its kind.
We analyzed and ranked the impact of traffic congestion in:
7 continents | 43 countries | 975+ cities
The 2019 Scorecard provides three years of mobility analysis within the world’s most congested cities. Additions this year include bicycle and public transport travel time comparisons, and incident congestion impacts. Combined with drive-time maps and last-mile speeds, these advanced metrics provide a unique basis for cross-national commuting comparisons and analysis.


The INRIX 2019 Scorecard is an analysis of congestion and mobility trends in more than 900 cities globally, across 43 countries.



Bogata, again, finished first in time lost to congestion, with drivers losing 191 hours per year to congestion.


The average American loses 99 hours a year to traffic costing $88 billion in annual time costs nationally, $1,377 per driver.



Boston drivers experienced the greatest costs of congestion, losing $2,205 per year to traffic.


London clocked a remarkable 227 hours stuck in congestion, costing drivers £1,680 annually.


Just switching neighborhoods can result in commutes 1/3 as long


Public transport and biking are most competitive in the world’s most congested cities.
Boston (149 hours lost due to congestion, which equates to more than six days) ranked as the most congested...
Learn MoreLondon was the most congested UK city with drivers losing 149 hours in 2019 Belfast (112 hours), Bristol (103...
Learn MoreStaus in deutschen Städten verursachten im vergangenen Jahr Kosten in Höhe von 2,8 Milliarden Euro Mehr als drei Tage verbringen...
Learn MoreUrban Area: The geographic scope of a city as defined by its road network density.
Impact Rank: A calculated commute based upon a city’s population and the delay attributable to congestion.
Hours Lost in Congestion: The total number of hours lost in congestion during peak commute periods compared to free-flow conditions.
Incident Impact: The influence of incidents on travel time delays.
Year-Over-Year Change: The speed at which a driver can expect to travel one mile into the central business district during peak hours.
Inner City Last-Mile Travel Time: The time it takes to travel one mile into the central business district during peak hours.
Inner City Last-Mile Speed: The speed at which a driver can expect to travel one mile into the central business district during peak hours.
Bike and Public Transport Access: Commute mode travel time comparisons


