60443 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60443 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 9,622, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,230, 75.14%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,013, 10.53%, see rank | 8.63% | 9.59% |
| Public Transportation | 827, 8.59%, see rank | 8.92% | 5.06% |
| Walked | 61, 0.63%, see rank | 3.14% | 2.78% |
| Other Means | 62, 0.64%, see rank | 1.63% | 1.79% |
| Worked at Home | 429, 4.46%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60443 Zip Code | 33.6 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60443 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 9,361, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,172, 76.62%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 817, 8.73%, see rank | 8.98% | 10.03% |
| Public Transportation | 876, 9.36%, see rank | 8.71% | 4.98% |
| Walked | 65, 0.69%, see rank | 3.13% | 2.82% |
| Other Means | 90, 0.96%, see rank | 1.63% | 1.76% |
| Worked at Home | 341, 3.64%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60443 Zip Code | 34.4 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60443 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 7,095, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,559, 78.35%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 678, 9.56%, see rank | 10.88% | 12.19% |
| Public Transportation | 656, 9.25%, see rank | 8.66% | 4.73% |
| Walked | 80, 1.13%, see rank | 3.13% | 2.93% |
| Other Means | 32, 0.45%, see rank | 1.02% | 1.19% |
| Worked at Home | 90, 1.27%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60443 Zip Code | 35.4 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.
