health

No leisure-time physical activity (adults)

CDC PLACES (model-based small-area estimates) 2018–2023 Higher = more need
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Why this matters

No leisure-time physical activity measures the share of adults who report getting no physical activity or exercise outside of their job in the past month. On this platform these are modeled estimates that blend survey and population data, so they are best read as the level in each year, not as year-to-year change (the CDC does not support using them as a trend).

Regular activity lowers the risk of obesity, diabetes, heart disease, and depression, so this measure is a useful window into chronic-disease risk. But it reflects opportunity as much as choice: safe sidewalks and parks, traffic, crime, work schedules, and caregiving all shape whether people can be active.

Where inactivity is high, investments in parks, greenways, safe streets, and recreation can pay off, especially in neighborhoods that have fewer of these amenities to begin with.

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

Model-based small-area estimates from the CDC PLACES project (2018–2023), which uses BRFSS survey data and multilevel regression & poststratification to estimate adult prevalence for every Census tract. Each estimate has a confidence interval; values with high uncertainty are flagged.

Source: CDC PLACES (model-based small-area estimates).