As part of the New Deal, several governmental programs were created to expand homeownership through mortgages and loans. However, neighborhoods with primarily Black or immigrant communities often were rated “hazardous” for repayment under the discriminatory, “redlining” practice that restricted lending. Today, those same areas are exposed to more air pollution than other urban neighborhoods, and according to research published in ACS’ Environmental Science & Technology, the cause could relate to nearby highways or industrial parks.1

The team gathered satellite and computer modelling data on nitrogen dioxide (NO2) and airborne fine particulate matter (PM2.5), both of which can be hazardous when inhaled. Combining demographic data from the 2020 census and historical maps drawn by the HOLC, the researchers found that neighborhoods rated with a “D” had 13% higher levels of NO2 than areas labeled “A.” Across Denver as a whole, neighborhoods where the majority of residents identified as non-Hispanic White and Asian or Asian American were exposed to less NO2 and PM2.5 than areas with groups primarily identifying as American Indian and Alaska Native, and Hispanic or Latino.

The researchers also investigated the possible sources of the NO2 and PM2.5 emissions affecting the previously redlined areas. They discovered that diesel-powered vehicles emitted about half of the nitrogen oxides from road vehicles, while additional pollutants such as benzene were emitted from other point sources, including nearby petrochemical refineries. Many major highways and industrial areas in Denver, including Commerce City, are surrounded by diverse communities that typically contain fewer people identifying as non-Hispanic White, even though this group makes up a majority of the city’s population. The researchers say that this work helps to identify areas that might be the most improved by remediation programs such as clean technology incentives.


  • 1. Between the 1930s and late 1960s, groups such as the Federal Housing Administration and the Home Owner’s Loan Corporation (HOLC) worked to insure loans, but they were selective about which neighborhoods would receive that funding. Areas were rated from “A” (the least risky) to “D,” which was considered riskiest and color-coded red. These redlined neighborhoods were often home to Black or immigrant communities whose residents were routinely denied mortgages or loans as a result of the maps. In this same time period, many of these communities had interstate highways routed through them, either isolating them or demolishing them completely. Recently, researchers showed that historically redlined areas have higher levels of air pollution than those that received higher ratings, and similar disparities affect many cities across the U.S. Denver is one such city, where Joost de Gouw and colleagues wanted to investigate the origin of the pollution differences.

Alexander C. Bradley, Bart E. Croes, Colin Harkins, Brian C. McDonald, Joost A. de Gouw. Air Pollution Inequality in the Denver Metroplex and its Relationship to Historical RedliningEnvironmental Science & Technology, 2024; DOI: 10.1021/acs.est.3c03230

Prior studies have shown that people of color (POC) in the United States are exposed to higher levels of pollution than non-Hispanic White people. We show that the city of Denver, Colorado, displays similar race- and ethnicity-based air pollution disparities by using a combination of high-resolution satellite data, air pollution modeling, historical demographic information, and areal apportionment techniques. TROPOMI NO2 columns and modeled PM2.5 concentrations from 2019 are higher in communities subject to redlining. We calculated and compared Spearman coefficients for pollutants and race at the census tract level for every city that underwent redlining to contextualize the disparities in Denver. We find that the location of polluting infrastructure leads to higher populations of POC living near point sources, including 40% higher Hispanic and Latino populations. This influences pollution distribution, with annual average PM2.5 surface concentrations of 6.5 μg m–3 in census tracts with 0–5% Hispanic and Latino populations and 7.5 μg m–3 in census tracts with 60–65% Hispanic and Latino populations. Traffic analysis and emission inventory data show that POC are more likely to live near busy highways. Unequal spatial distribution of pollution sources and POC have allowed for pollution disparities to persist despite attempts by the city to rectify them. Finally, we identify the core causes of the pollution disparities to provide direction for remediation.