Urban Mobility Benchmark · 2024 data · 50 largest U.S. cities

How long is your commute, really?

A normalized scale for comparing drive time and transit time across America's biggest cities. Each mode is scored against its own national average, so 100 always means a typical trip — and both indices read the same way: below 100 is faster than normal, above 100 is slower.

Two separate anchors, each the 2024 national mean commute for that mode. A city that is average to drive and average to ride sits at 100 on both.
Private · driving
100= 27.2 min
National mean drive commute, one way
Public · transit
100= 50 min
National mean transit commute, one way
Because transit averages ~1.9x a drive nationally, a transit score near 100 is normal — it does not mean transit is as quick as driving, only that this city's transit is typical for transit.
27.2m
National mean commute, all modes (ACS 2024)
26.4m
Average drive-alone commute
~50m
Average public-transit commute — the transit-time 100 anchor
43h
Hours/yr the typical urban driver loses to congestion (INRIX 2024)

What the baseline of 100 represents

Each mode is anchored to its own 2024 national average from Census data. A drive-time score of 100 equals the 27.2-minute national mean drive commute; a transit-time score of 100 equals the ~50-minute national mean transit commute. Scoring each mode against its own norm means 100 always reads the same way — a typical trip for that mode — so a city that's average to drive and average to ride lands near 100 on both.

Two scores are reported for every city, each measured against its own mode baseline:

Private Drive-Time Index 100 = 27.2 min

Relative time cost of commuting by car versus the national drive norm. Built from the city's ACS car/all-mode commute time, then adjusted upward where INRIX shows severe peak-hour congestion — a long trip that is also stop-and-go is worse than one that flows.

Public Transit-Time Index 100 = 50 min

Relative time cost of commuting by bus/rail versus the national transit norm. Dense rail cities land near or below 100; sprawling bus-only networks run above it. Read it alongside the network tier — a low score means little if only 2% of workers can actually reach their job by transit.

What pushes a city above or below 100

Commute time is not distance — it is the combined product of where people can afford to live, where the jobs cluster, and how the network between them performs. The same forces recur across the rankings.

Above 100 ? Longer trips

  • Job concentration + housing cost. When jobs cluster downtown but affordable housing is far out, workers travel farther (New York, San Francisco, Washington).
  • Peak congestion. Delay stretches a physically short trip — NYC and Chicago drivers lose ~102 hours/yr; downtown speeds fall to 12-14 mph.
  • Sprawl + highway dependence. Low-density metros force long car trips even without classic gridlock (Atlanta, Houston, Dallas).
  • Transit reliance. Bus/rail trips average ~1.9x a drive, so cities where many commute by transit carry a higher blended time (New York).
  • Regional in-commuting. Big labor sheds pull workers across county lines into a single core.

Below 100 ? Shorter trips

  • Compact footprint. Mid-size metros keep homes and jobs close (Tulsa 19.7 min, Omaha 20.0 min, Wichita).
  • Grid road networks. Even, redundant streets spread traffic and avoid single-point bottlenecks.
  • Balanced job dispersal. Employment spread across the metro shortens the average trip versus one dominant core.
  • Slack road capacity. Lower demand-to-capacity ratios mean free-flow speeds most of the day.
  • Remote / hybrid work. Fewer peak trips ease congestion; remote share sits near 13% nationally and higher in tech metros.

The ranking — 50 largest U.S. cities

Sort by either index, search a city, or filter by transit network strength. Amber = private driving (100 = 27.2 min), blue = public transit (100 = 50 min). The dark tick at each bar's midpoint marks that mode's 100 baseline, so bars reaching past it are slower than the national norm for that mode. Population rank is by city proper (latest Census estimates).

# City ? Drive index ? Transit index ? Transit network Commute ?
Read the data honestly. Drive-index values carry a solid basis where marked from ACS 2024 city figures and INRIX 2024 congestion. Values tagged est are analyst estimates for mid-tier cities, derived from metro-level ACS commute data, regional congestion patterns, and transit mode share — directional, not survey-exact. The transit index is a modeled dimension anchored to the ~50-minute national transit norm and each city's network type, because a clean per-city transit-commute-time table is not uniformly published; treat it as relative, and pull exact car-vs-transit minutes for any city from Census Table S0801 (linked below). The point of the index is comparison, not a stopwatch guarantee for an individual trip.

Data sources

The authoritative resources a transportation analyst uses for exactly this question. The first two carry the national baseline and per-city commute times; INRIX and TTI supply drive-quality; NTD and the ACS transit tables supply the public-transit picture.

U.S. Census Bureau — ACS Table S0801 (Commuting Characteristics)

The primary source: mean travel time to work by mode, per city. Pull exact car vs. transit minutes here.

data.census.gov/table/ACSST1Y2024.S0801

U.S. Census Bureau — Commuting At A Glance (ACS 1-Year)

National benchmark: 27.2-min mean commute (2024), 9.3% commuting 60+ min, mode shares.

census.gov/topics/employment/commuting/guidance/acs-1yr.html

INRIX 2024 Global Traffic Scorecard (U.S.)

Drive-quality: hours lost to congestion and downtown speeds by urban area (NYC & Chicago 102 hrs; U.S. avg 43 hrs).

inrix.com/press-releases/2024-global-traffic-scorecard-us

FTA — National Transit Database

The official record of transit service, ridership and coverage for every U.S. agency — the backbone for network strength.

transit.dot.gov/ntd

Texas A&M Transportation Institute — Urban Mobility Report

The long-running academic benchmark for congestion delay and the Travel Time Index by metro.

mobility.tamu.edu/umr

ACS transit mode share (city rankings)

Share of commuters using public transit by city (NYC 48.7%, DC 26.6%, Boston 25.3%, SF 25.0% — 2024).

en.wikipedia.org/wiki/List_of_U.S._cities_with_high_transit_ridership