transportation

Households without a vehicle

U.S. Census Bureau, American Community Survey 5-Year Estimates 2014–2024 Higher = more need
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Why this matters

A household with no car has fewer ways to reach daily life. This measure shows the share of households where no vehicle is available. In a region built mostly around driving, families without a car often depend on buses, walking, biking, or rides from others to get to work, school, the doctor, or the grocery store.

When those options are limited or slow, people can be cut off from jobs and services that car owners reach easily. A car is also expensive to buy, insure, and maintain, so going without one can reflect cost pressures as much as choice.

Tracking this helps show where reliable, affordable transit, sidewalks, and bike routes matter most. This matters acutely in Charlotte, where commute time is among the strongest neighborhood predictors of upward mobility. The LYNX Blue Line light rail widened transit access along its corridor, but for a no-car family in the crescent, reaching jobs in the southeast wedge or the airport-area warehouses can still mean long, multi-transfer trips, even as system-wide bus ridership has fallen.

About the Charlotte region

This explorer covers the 14-county, two-state Charlotte region (11 North Carolina and 3 South Carolina counties). Many of these indicators connect to a defining regional story: a landmark Harvard study ranked Charlotte last, 50th of the 50 largest U.S. metros for economic mobility (a child raised in the poorest fifth had about a 4.4% chance of reaching the top fifth), a finding that launched the region's Leading on Opportunity agenda. Updated 2024 data show Charlotte has since climbed to 38th.

Opportunity here is also unevenly mapped. An affluent “wedge” fanning southeast from uptown holds a large majority of the city's wealth on under a quarter of its land, while a ”crescent” to the north, west, and east carries higher poverty, a legacy of redlining, exclusionary zoning, and highway routing that recurs across the race, income, health, tree-canopy, and school maps in this tool. No single indicator is good or bad on its own; together they describe how the region sorted opportunity.

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About the data

Calculated from the U.S. Census Bureau's American Community Survey 5-Year Estimates (2014–2024), at the Census-tract level, with margins of error. ACS 5-year vintages overlap year to year, so the series is a rolling estimate; compare only non-overlapping periods.

Source: U.S. Census Bureau, American Community Survey 5-Year Estimates.