46268 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46268 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,637, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,744, 85.02%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,284, 10.16%, see rank | 8.96% | 9.59% |
| Public Transportation | 132, 1.04%, see rank | 1.06% | 5.06% |
| Walked | 187, 1.48%, see rank | 2.09% | 2.78% |
| Other Means | 120, 0.95%, see rank | 1.44% | 1.79% |
| Worked at Home | 170, 1.35%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46268 Zip Code | 22.0 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46268 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 13,467, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,956, 81.35%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,670, 12.40%, see rank | 9.26% | 10.03% |
| Public Transportation | 204, 1.51%, see rank | 1.06% | 4.98% |
| Walked | 297, 2.21%, see rank | 2.18% | 2.82% |
| Other Means | 65, 0.48%, see rank | 1.38% | 1.76% |
| Worked at Home | 275, 2.04%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46268 Zip Code | 22.0 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46268 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,947, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,135, 86.00%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,009, 7.79%, see rank | 11.03% | 12.19% |
| Public Transportation | 52, 0.40%, see rank | 1.02% | 4.73% |
| Walked | 206, 1.59%, see rank | 2.38% | 2.93% |
| Other Means | 103, 0.80%, see rank | 0.92% | 1.19% |
| Worked at Home | 442, 3.41%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46268 Zip Code | 19.5 minutes |
| Indiana | 22.0 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.
