46410 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46410 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 16,755, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,292, 85.30%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,538, 9.18%, see rank | 8.96% | 9.59% |
| Public Transportation | 287, 1.71%, see rank | 1.06% | 5.06% |
| Walked | 59, 0.35%, see rank | 2.09% | 2.78% |
| Other Means | 403, 2.41%, see rank | 1.44% | 1.79% |
| Worked at Home | 176, 1.05%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46410 Zip Code | 28.0 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46410 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,135, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,769, 86.19%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,459, 8.51%, see rank | 9.26% | 10.03% |
| Public Transportation | 306, 1.79%, see rank | 1.06% | 4.98% |
| Walked | 195, 1.14%, see rank | 2.18% | 2.82% |
| Other Means | 188, 1.10%, see rank | 1.38% | 1.76% |
| Worked at Home | 218, 1.27%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46410 Zip Code | 27.8 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46410 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 15,941, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,422, 84.20%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,594, 10.00%, see rank | 11.03% | 12.19% |
| Public Transportation | 349, 2.19%, see rank | 1.02% | 4.73% |
| Walked | 183, 1.15%, see rank | 2.38% | 2.93% |
| Other Means | 115, 0.72%, see rank | 0.92% | 1.19% |
| Worked at Home | 278, 1.74%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46410 Zip Code | 28.4 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.
