46254 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46254 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,834, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,029, 78.66%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,467, 13.83%, see rank | 8.96% | 9.59% |
| Public Transportation | 532, 2.98%, see rank | 1.06% | 5.06% |
| Walked | 112, 0.63%, see rank | 2.09% | 2.78% |
| Other Means | 280, 1.57%, see rank | 1.44% | 1.79% |
| Worked at Home | 414, 2.32%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46254 Zip Code | 23.1 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46254 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,835, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,363, 80.53%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,192, 12.29%, see rank | 9.26% | 10.03% |
| Public Transportation | 509, 2.85%, see rank | 1.06% | 4.98% |
| Walked | 222, 1.24%, see rank | 2.18% | 2.82% |
| Other Means | 201, 1.13%, see rank | 1.38% | 1.76% |
| Worked at Home | 348, 1.95%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46254 Zip Code | 21.9 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46254 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 19,908, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,630, 83.53%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,275, 11.43%, see rank | 11.03% | 12.19% |
| Public Transportation | 241, 1.21%, see rank | 1.02% | 4.73% |
| Walked | 211, 1.06%, see rank | 2.38% | 2.93% |
| Other Means | 146, 0.73%, see rank | 0.92% | 1.19% |
| Worked at Home | 405, 2.03%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46254 Zip Code | 22.0 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.
