health

Current asthma (adults)

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

Current asthma in adults measures the share of adults who currently have asthma, a chronic condition that inflames and narrows the airways, causing wheezing, coughing, and trouble breathing. 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).

Asthma is closely tied to the places people live. Mold, pests, dust, and secondhand smoke in older or poorly maintained housing can trigger attacks, and so can outdoor air pollution near busy roads and industry. That makes asthma a useful signal of environmental and housing conditions, not personal health alone.

Where rates are high, communities can target healthier housing, cleaner air, and reliable access to inhalers and primary care. In Mecklenburg County, the Community Health Assessment and Quality of Life Explorer show how these burdens fall unevenly across neighborhoods.

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).