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Population density (per sq mi)

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

Population density measures how crowded an area is — the number of residents divided by its land area, usually shown as people per square mile. It captures the physical shape of a community: dense downtowns and apartment districts sit at the high end, while spread-out suburbs and rural farmland sit at the low end.

Density matters because it shapes what services make sense. Frequent bus service, sidewalks, and water and sewer lines are easier to justify where people live close together. In low-density areas, residents often rely on cars and wells, and services cost more per person to deliver.

Density is most meaningful for small areas like neighborhoods; a county-wide average can hide the difference between a packed urban core and empty open land.

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.