60426 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 60426 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 8,458, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,083, 71.92%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 803, 9.49%, see rank | 8.63% | 9.59% |
| Public Transportation | 831, 9.83%, see rank | 8.92% | 5.06% |
| Walked | 289, 3.42%, see rank | 3.14% | 2.78% |
| Other Means | 182, 2.15%, see rank | 1.63% | 1.79% |
| Worked at Home | 270, 3.19%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 60426 Zip Code | 29.6 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 60426 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 8,433, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,982, 70.94%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 824, 9.77%, see rank | 8.98% | 10.03% |
| Public Transportation | 942, 11.17%, see rank | 8.71% | 4.98% |
| Walked | 335, 3.97%, see rank | 3.13% | 2.82% |
| Other Means | 121, 1.43%, see rank | 1.63% | 1.76% |
| Worked at Home | 229, 2.72%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 60426 Zip Code | 29.9 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 60426 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 15,989, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,664, 66.70%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,455, 15.35%, see rank | 10.88% | 12.19% |
| Public Transportation | 1,912, 11.96%, see rank | 8.66% | 4.73% |
| Walked | 461, 2.88%, see rank | 3.13% | 2.93% |
| Other Means | 165, 1.03%, see rank | 1.02% | 1.19% |
| Worked at Home | 332, 2.08%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 60426 Zip Code | 32.8 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.
