In mid-July, near 106th and Avenue D on Chicago’s Southeast Side, air pollution began to climb to a level that data from nearby sensors suggest is rare outside of the Fourth of July — historically the city’s worst day for air quality.
On July 21, three different air quality sensors in the neighborhood captured levels of particulate matter — tiny particles of smoke, dust and other compounds that can enter a person’s lungs and cause devastating health problems, including premature death — in the air about twice the level of pollution from the week before.
These spikes in pollution are among several concerning events that MuckRock found upon digging into data from a network of more than 100 air quality sensors across Chicago, placed by Microsoft in partnership with the city and community organizations.
As part of a grant through Northwestern University Medill and Google News Initiative’s Data Driven Reporting Project, MuckRock is retrieving daily air quality readings from this sensor network. We're now publicly releasing results from these sensors on GitHub, along with data visualizations and context about how to use the numbers.
We hope that newsrooms, civic groups and the public will take advantage of the dataset to investigate air quality in Chicago. For more backstory on this project, check out our previous article with the Chicago Sun-Times, WBEZ, and Cicero Independiente.
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