60154 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60154 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 7,764, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,109, 78.68%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 738, 9.51%, see rank | 8.63% | 9.59% |
| Public Transportation | 425, 5.47%, see rank | 8.92% | 5.06% |
| Walked | 53, 0.68%, see rank | 3.14% | 2.78% |
| Other Means | 170, 2.19%, see rank | 1.63% | 1.79% |
| Worked at Home | 269, 3.46%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60154 Zip Code | 30.1 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60154 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 7,836, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,395, 81.61%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 640, 8.17%, see rank | 8.98% | 10.03% |
| Public Transportation | 454, 5.79%, see rank | 8.71% | 4.98% |
| Walked | 88, 1.12%, see rank | 3.13% | 2.82% |
| Other Means | 128, 1.63%, see rank | 1.63% | 1.76% |
| Worked at Home | 131, 1.67%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60154 Zip Code | 29.4 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60154 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 7,874, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,687, 84.93%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 407, 5.17%, see rank | 10.88% | 12.19% |
| Public Transportation | 435, 5.52%, see rank | 8.66% | 4.73% |
| Walked | 149, 1.89%, see rank | 3.13% | 2.93% |
| Other Means | 10, 0.13%, see rank | 1.02% | 1.19% |
| Worked at Home | 186, 2.36%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60154 Zip Code | 26.0 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.
