Commuting Without a Car: What U.S. City Census Data Can Tell You

Public transportation, walking and cycling are distinct commute modes

The commuting percentages use workers age 16 and older as the denominator. Public transportation includes the source’s bus and rail categories; taxi and ride-hailing are separate categories. Walking and bicycling also remain separate. Working from home belongs to the same overall commuting universe, even though it is not a journey to an external workplace.

The ACS asks for the usual means of transportation to work. A person who uses several modes is not counted once in every mode. These figures therefore do not measure all trips, occasional cycling, recreational walking or the share of adults who can use public transportation. They are useful precisely when the question concerns the usual work journey.

Households without vehicles tell a different story

Vehicle availability is measured among households. A household with no vehicle can contain workers, retirees, children or other residents. It does not automatically imply that every member commutes by transit or that the household chose not to own a car. The source describes availability; it does not establish preference, accessibility or financial circumstances.

Boston has a no-vehicle household share of 33.3%, while its walking commute share is 13.4%. Pittsburgh’s corresponding figures are 20.6% and 9.6%. Those pairs should be read alongside their separate household and worker universes, not treated as percentages of the same people.

Why citywide commute data cannot choose a neighborhood

A city can contain areas with very different transit frequencies, sidewalk networks and distances to services. A high citywide transit share does not guarantee a usable route from an apartment you are considering. Nor does a lower walking share prove that every neighborhood is difficult to navigate on foot.

For an actual address, check the route to the destinations you need, service hours, transfers and the conditions of the walking connections. A commute that works on a weekday morning may have different service at other times. This article does not estimate travel time from a city-center distance, and its chart is not a commercial Walk Score or a homemade accessibility rating.

Explore observed commute patterns without inventing a winner

The explorer includes covered places with at least 100,000 residents in July 2025. Transit, walking and cycling shares use ACS 2020–2024 worker counts; the no-vehicle measure uses households in the same release. Population is only the size filter and is not substituted for any percentage denominator.

Sort by the measure that answers your question, then inspect the worker or household counts and approximate 90% MOE in the table. Small differences can reflect sampling uncertainty. All point-estimate rows with an available transit share are eligible for this exploratory table; it does not apply the ranking pages’ 50%-MOE precision screen.

The chart follows the selected measure, begins at zero and shows numerical MOEs as capped uncertainty lines. Missing or open-ended observations are not plotted as zero. Use the CSV to preserve the definitions when sharing results, and compare rent and housing on the city profiles before forming a moving shortlist.