Communities living near polluted Superfund sites have lower life expectancy

Source(s): University of Texas

AUSTIN, Texas — Superfund sites could reduce the life expectancy for people living in nearby communities by as much as 1.2 years, according to a new study from researchers with The University of Texas at Austin and the University of Houston.

In the first nationwide study of its kind, a team including researchers from UT Austin’s Oden Institute for Computational Engineering and Sciences used advanced statistical modeling techniques at the census tract level to examine the impact of contaminated areas in unprecedented detail.

According to the Environmental Protection Agency, a Superfund site refers to thousands of sites that exist “nationally due to hazardous waste being dumped, left out in the open, or otherwise improperly managed.” This includes manufacturing facilities, processing plants, landfills and mining sites.

These places tend to negatively affect nearby air, water and soil quality, meaning those living in close proximity are potentially exposed to toxic chemicals through dermal contact, ingestion and inhalation.

Although 1,300 hazardous sites are officially counted on the EPA’s National Priorities List, significantly more are thought to exist nationwide. The study, published in the most recent edition of Nature Communications, assesses the impact of a total of 11,989  identified Superfund sites “currently on the list, proposed to be on the list, removed from the list, waiting to become part of the list and sites that are not overseen by the EPA.”

Life Expectancy (LE) in the US estimated by the National Center for Health Statistics (NCHS)

Using computational simulations and statistical methods, the study shows the median life expectancy values for all census tracts, tracts with at least one Superfund site, and tracts with no sites were found to be 78.5, 77.5 and 78.7 years, respectively, indicating a difference of -1 and -1.2 years in life expectancy between census tracts with sites when compared with overall and no sites.

The study also shows the impact of Superfund sites and life expectancy in the context of other variables such as flood potential and sociodemographic conditions.

The study highlights a recent report by the Government Accountability Office, suggesting around 60% of EPA-managed Superfund sites could potentially be affected by natural hazards such as flooding or wildfire. Flooding is of particular concern because it could facilitate the transport of contaminants from the sites to locations and neighborhoods extending well beyond nearby fence-line communities.

The effect of Superfund presence on LE in the census tracts with at least one Superfund site. The red and blue bars show the effect in tracts with sociodemographic variables below and above the national median (50%) values. For example, the presence of a Superfund site in a census tract with smaller than median income ($52,580) could reduce the LE by as much as 0.58 years. This reduction could go as high as 1.223 years for tracts in the lower 10% percentile income. For tracts with income higher than the national median, the effect of Superfund Site on LE could be completely offset.

“The existence of a Superfund site reduces land and property values, meaning poorer communities are more likely to live near a site than wealthier people,” said Amin Kiaghadi of the Oden Institute, lead author of the study along with Hanadi Rifai from the University of Houston and Clint Dawson from UT’s Department of Aerospace Engineering and Engineering Mechanics. “Poorer populations tend to have less insurance coverage, poorer-quality diet, and are more susceptible to underlying health conditions — rendering them even more vulnerable to the potentially harmful chemicals emanating from Superfund sites.”

Although impact studies have been conducted on these places in the past, this research is unique in terms of its nationwide scope and the level of detail achieved using computational methods. “Not only does it cover the entire contiguous United States, it is at the census tract level, which makes it much higher resolution compared to similar studies,” Kiaghadi said.

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