60007 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60007 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 17,744, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,211, 85.72%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 917, 5.17%, see rank | 8.63% | 9.59% |
| Public Transportation | 678, 3.82%, see rank | 8.92% | 5.06% |
| Walked | 122, 0.69%, see rank | 3.14% | 2.78% |
| Other Means | 184, 1.04%, see rank | 1.63% | 1.79% |
| Worked at Home | 632, 3.56%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60007 Zip Code | 25.9 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60007 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 18,297, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,297, 83.60%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,384, 7.56%, see rank | 8.98% | 10.03% |
| Public Transportation | 623, 3.40%, see rank | 8.71% | 4.98% |
| Walked | 184, 1.01%, see rank | 3.13% | 2.82% |
| Other Means | 172, 0.94%, see rank | 1.63% | 1.76% |
| Worked at Home | 637, 3.48%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60007 Zip Code | 25.1 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60007 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 19,436, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,661, 85.72%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,388, 7.14%, see rank | 10.88% | 12.19% |
| Public Transportation | 667, 3.43%, see rank | 8.66% | 4.73% |
| Walked | 183, 0.94%, see rank | 3.13% | 2.93% |
| Other Means | 51, 0.26%, see rank | 1.02% | 1.19% |
| Worked at Home | 486, 2.50%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60007 Zip Code | 25.4 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.
