60463 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60463 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 5,888, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,710, 79.99%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 183, 3.11%, see rank | 8.63% | 9.59% |
| Public Transportation | 428, 7.27%, see rank | 8.92% | 5.06% |
| Walked | 243, 4.13%, see rank | 3.14% | 2.78% |
| Other Means | 39, 0.66%, see rank | 1.63% | 1.79% |
| Worked at Home | 285, 4.84%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60463 Zip Code | 33.9 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60463 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 5,720, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,500, 78.67%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 301, 5.26%, see rank | 8.98% | 10.03% |
| Public Transportation | 413, 7.22%, see rank | 8.71% | 4.98% |
| Walked | 144, 2.52%, see rank | 3.13% | 2.82% |
| Other Means | 59, 1.03%, see rank | 1.63% | 1.76% |
| Worked at Home | 303, 5.30%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60463 Zip Code | 32.2 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60463 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 5,976, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,856, 81.26%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 415, 6.94%, see rank | 10.88% | 12.19% |
| Public Transportation | 306, 5.12%, see rank | 8.66% | 4.73% |
| Walked | 181, 3.03%, see rank | 3.13% | 2.93% |
| Other Means | 52, 0.87%, see rank | 1.02% | 1.19% |
| Worked at Home | 166, 2.78%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60463 Zip Code | 31.9 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.
