61571 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 61571 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 11,097, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,886, 89.09%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 823, 7.42%, see rank | 8.63% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 8.92% | 5.06% |
| Walked | 71, 0.64%, see rank | 3.14% | 2.78% |
| Other Means | 52, 0.47%, see rank | 1.63% | 1.79% |
| Worked at Home | 265, 2.39%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 61571 Zip Code | 20.3 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 61571 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 10,943, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,483, 86.66%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,057, 9.66%, see rank | 8.98% | 10.03% |
| Public Transportation | 12, 0.11%, see rank | 8.71% | 4.98% |
| Walked | 101, 0.92%, see rank | 3.13% | 2.82% |
| Other Means | 12, 0.11%, see rank | 1.63% | 1.76% |
| Worked at Home | 278, 2.54%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 61571 Zip Code | 20.9 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 61571 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 10,220, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,044, 88.49%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 695, 6.80%, see rank | 10.88% | 12.19% |
| Public Transportation | 18, 0.18%, see rank | 8.66% | 4.73% |
| Walked | 124, 1.21%, see rank | 3.13% | 2.93% |
| Other Means | 57, 0.56%, see rank | 1.02% | 1.19% |
| Worked at Home | 282, 2.76%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 61571 Zip Code | 20.6 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.
