60457 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60457 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 6,417, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,211, 81.21%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 583, 9.09%, see rank | 8.63% | 9.59% |
| Public Transportation | 261, 4.07%, see rank | 8.92% | 5.06% |
| Walked | 34, 0.53%, see rank | 3.14% | 2.78% |
| Other Means | 37, 0.58%, see rank | 1.63% | 1.79% |
| Worked at Home | 291, 4.53%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60457 Zip Code | 31.5 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60457 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 6,466, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,176, 80.05%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 728, 11.26%, see rank | 8.98% | 10.03% |
| Public Transportation | 298, 4.61%, see rank | 8.71% | 4.98% |
| Walked | 38, 0.59%, see rank | 3.13% | 2.82% |
| Other Means | 56, 0.87%, see rank | 1.63% | 1.76% |
| Worked at Home | 170, 2.63%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60457 Zip Code | 31.4 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60457 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 6,991, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,702, 81.56%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 747, 10.69%, see rank | 10.88% | 12.19% |
| Public Transportation | 168, 2.40%, see rank | 8.66% | 4.73% |
| Walked | 143, 2.05%, see rank | 3.13% | 2.93% |
| Other Means | 25, 0.36%, see rank | 1.02% | 1.19% |
| Worked at Home | 206, 2.95%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60457 Zip Code | 30.7 minutes |
| Illinois | 28.0 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
