environment

Tree canopy

U.S. Geological Survey, National Land Cover Database (NLCD) 2015–2023 Higher is better
View on the map

Why this matters

Tree canopy is the layer of leaves, branches, and stems that covers the ground when you look down on a city from above. It is usually reported as the share of land shaded by trees. Where canopy is high, neighborhoods stay cooler, the air is cleaner, and rain is slowed before it floods streets.

Trees do real work. Their shade and the water they release can drop nearby temperatures by several degrees on a hot day, which lowers cooling bills and protects people from heat illness. Leaves also catch dust and pollution, and roots soak up stormwater.

Canopy is often spread unevenly. Lower-income neighborhoods and communities of color tend to have far fewer trees, so they bake hotter in summer. That gap is what people mean by "tree equity."

In Mecklenburg County this is literal: canopy covers roughly half the county (about 50% in 2023) but has been declining, and it is concentrated in the wealthier southeast "wedge" while the lower-income "crescent" has far less shade. More canopy is not automatically better in every spot (dense, walkable places may have less room for trees), but the local gap in who has shade is a clear equity concern.

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.

Learn more

About the data

Derived from the USGS National Land Cover Database (2015–2023), a 30-metre satellite land-cover product. Tract values are area-weighted zonal statistics (exact pixel fractions) of the classified raster. As a wall-to-wall classification it carries no sampling margin of error.

Source: U.S. Geological Survey, National Land Cover Database (NLCD).