On July 17, 2016, the Chicago Sun-Times published a report looking at the racial demographics of Chicago’s police districts. The Data Reporting Lab, used census block level data to calculate the racial makeup of the newly drawn police districts.
On June 26, 2016, the Chicago Sun-Times’ Watchdogs investigation group published a 12-page special section examining how Chicago Housing Authority’s “Plan for Transformation” has changed Chicago and the suburbs. Analysis and mapping performed by the Data Reporting Lab is featured throughout the section.
On May 1, 2016, the Chicago Sun-Times revealed that Ald. Ed Burke’s law firm has saved Donald Trump and his investors $11.7 million in property taxes. The Data Reporting Lab analyzed Cook County records to calculate the savings Burke’s firm has gathered for the presidential candidate and his partners.
On April 24 and April 25, 2016, the Chicago Sun-Times continued its Beyond the Rubble series by looking at private landlords who lease apartments to the CHA. Some of those landlords, the Sun-Times found, owned property with multiple building violations. Again, the Data Reporting Lab provided data and spatial analysis for the project.
In stories published March 13 and March 14, 2016, the Chicago Sun-Times examined Chicago’s public housing divide, revealing that while most low-income residents live in depressed areas, some are housed in extremely pricey homes. The Data Reporting Lab performed the spatial analysis and database reporting needed to examine the patterns of where Chicago’s public housing residents are living.
The Chicago Sun-Times Watchdog team wanted to know what wards would be hit hardest by the mayor’s property tax increase. For this Jan. 3, 2016 article, the Data Reporting Lab did a geospatial analysis on Chicago’s residential and commercial properties to find the areas that would be most affected.
The Data Reporting Lab helped the Chicago Sun-Times analyze city payroll data to produce the Nov. 8, 2015 front page story on the city employees hauling in the biggest paychecks.