60048 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60048 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 14,155, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,226, 79.31%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 668, 4.72%, see rank | 8.63% | 9.59% |
| Public Transportation | 759, 5.36%, see rank | 8.92% | 5.06% |
| Walked | 169, 1.19%, see rank | 3.14% | 2.78% |
| Other Means | 283, 2.00%, see rank | 1.63% | 1.79% |
| Worked at Home | 1,050, 7.42%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60048 Zip Code | 26.5 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60048 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 13,880, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,786, 77.71%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 888, 6.40%, see rank | 8.98% | 10.03% |
| Public Transportation | 675, 4.86%, see rank | 8.71% | 4.98% |
| Walked | 211, 1.52%, see rank | 3.13% | 2.82% |
| Other Means | 290, 2.09%, see rank | 1.63% | 1.76% |
| Worked at Home | 1,030, 7.42%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60048 Zip Code | 26.5 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60048 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 14,512, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,766, 81.08%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 988, 6.81%, see rank | 10.88% | 12.19% |
| Public Transportation | 784, 5.40%, see rank | 8.66% | 4.73% |
| Walked | 209, 1.44%, see rank | 3.13% | 2.93% |
| Other Means | 56, 0.39%, see rank | 1.02% | 1.19% |
| Worked at Home | 709, 4.89%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60048 Zip Code | 27.6 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.
