Updated Map Shows Who Chicago Supports For President By ZIP Code
By Rachel Cromidas in News on Oct 26, 2016 4:34PM
After breaking down Chicago's campaign contributions for us by zip code earlier this year, Renthop is back with an updated map that shows how Chicago's political affiliations are shaking out with just a couple weeks left in the 2016 presidential race.
The updated map, released Wednesday, shows that Illinois-native Hillary Clinton is predictably still Chicago's favorite: Clinton has raised $9.59 million in Cook County alone from 9,829 donors. But lest you think Cook County is entirely blue: Trump has received more donations than Clinton in about 53 county zip codes. That all adds up to 2,704 donors and a total of $587,054. Gary Johnson and Jill Stein also have some local donors: 89 and 59 respectively, to be exact.
The map below gives a sense of how each zip code is doing around Northeastern Illinois by color-coding zip codes: Of course, Blue means Hillary has the lead with at least 55 percent, and Red means Trump is leading. Darker blue and red indicates the candidate is supported by over 70 percent of residents. Purple means neither candidate has more than 55 percent of the donors in a given area. Renthop looked at data on unique donors from FEC campaign disclosures to put this together:
Some stats that jumped out at us on first glance:
*Bronzeville (60653) has zero Trump supporters. And Hyde Park, Wicker Park, Evanston, Lakeview and Lincoln Park have a few, but not many, Trump supporters.
*The far north and south sides of the county were where Trump is faring best: see Plainfield, Addison, Tinley Park and River Grove, for example.
*In terms of surrounding counties, Hillary has the lede in Lake County by 54.6 percent of donors, while Trump has 67 percent of donors in McHenry and Will Counties.
*Trump has exactly one donor in West Garfield Park, and Hillary has zero, so while the map shows he's leading there, it's not likely representative of the community, which also happens to be one of the city's poorest.