Current inequality and future potential of US urban tree cover for reducing heat-related health impacts

Excessive heat is a major and growing risk for urban residents. Here, we estimate the inequality in summertime heat-related mortality, morbidity, and electricity consumption across 5,723 US municipalities and other places, housing 180 million people during the 2020 census. On average, trees in majority non-Hispanic white neighborhoods cool the air by 0.19 ± 0.05⁰C more than in POC neighborhoods, leading annually to trees in white neighborhoods helping prevent 190 ± 139 more deaths, 30,131 ± 10,406 more doctors’ visits, and 1.4 ± 0.5 terawatt-hours (TWhr) more electricity consumption than in POC neighborhoods. We estimate that an ambitious reforestation program would require 1.2 billion trees and reduce population-weighted average summer temperatures by an additional 0.38 ± 0.01⁰C.  This temperature reduction would reduce annual heat-related mortality by an additional 464 ± 89 people, annual heat-related morbidity by 80,785 ± 6110 cases, and annual electricity consumption by 4.3 ± 0.2 TW..., Our analysis proceeded in four phases. First, we assembled spatial data from multiple sources and compiled them to a common analysis unit. Second, we developed an algorithm that would set a plausible ambitious reforestation target, given other land-use constraints. Third, we estimated the heat mitigation-related benefits of current tree canopy and of future planting scenarios, up to the ambitious planting scenario. Benefits evaluated were avoided mortality, avoided morbidity, avoided electricity consumption, avoided release of greenhouse gases from avoided electricity consumption, and carbon sequestration in aboveground tree biomass. Fourth, we valued these benefits in monetary terms. See McDonald et al. 2024 in npj Urban Sustainability for Details., , # Data from: Current inequality and future potential of US urban tree cover for reducing heat-related health impacts

This data archives contains datasets generated the analysis of McDonald et al. 2024. Note that all input datasets to the analysis are publicly available (see the section on Data Sources in the Methods).

## Description of the data and file structure

Figure 1- CSV file showing data corresponding to Figure 1 of the paper. Column names are in the first row, and are self explanatory. Figure 1 caption from the paper: \"**Figure 1. Mortality and urban tree canopy cover for our sample of 5,723 US municipalities.** Shown are the current annual reduction in mortality due to trees, as well as the additional reduction in mortality possible under the ambitious planting scenario. This quantity can be expressed not just in annual lives saved (left axis) but also the estimated annual value of avoiding this mortality (right axis).\"

Figure 2- Data corresponding to Figure 2 of the pape...