61109 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 61109 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 12,017, 100% | 5,928,078 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,269, 85.45%, see rank | 73.48% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,056, 8.79%, see rank | 8.63% | 9.59% |
| Public Transportation | 133, 1.11%, see rank | 8.92% | 5.06% |
| Walked | 61, 0.51%, see rank | 3.14% | 2.78% |
| Other Means | 163, 1.36%, see rank | 1.63% | 1.79% |
| Worked at Home | 335, 2.79%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 61109 Zip Code | 20.0 minutes |
| Illinois | 28.6 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 61109 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 12,637, 100% | 5,926,796 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,788, 85.37%, see rank | 73.47% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,163, 9.20%, see rank | 8.98% | 10.03% |
| Public Transportation | 117, 0.93%, see rank | 8.71% | 4.98% |
| Walked | 70, 0.55%, see rank | 3.13% | 2.82% |
| Other Means | 172, 1.36%, see rank | 1.63% | 1.76% |
| Worked at Home | 327, 2.59%, see rank | 4.08% | 4.27% |
Mean Travel Time to Work, see rank| 61109 Zip Code | 20.7 minutes |
| Illinois | 28.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 61109 Zip Code | Illinois | U.S. |
| Workers 16 Years and Over | 13,520, 100% | 5,745,731 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,615, 85.91%, see rank | 73.23% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,428, 10.56%, see rank | 10.88% | 12.19% |
| Public Transportation | 67, 0.50%, see rank | 8.66% | 4.73% |
| Walked | 76, 0.56%, see rank | 3.13% | 2.93% |
| Other Means | 147, 1.09%, see rank | 1.02% | 1.19% |
| Worked at Home | 187, 1.38%, see rank | 3.07% | 3.26% |
Mean Travel Time to Work, see rank| 61109 Zip Code | 19.6 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.
