46143 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46143 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 24,876, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 20,973, 84.31%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,319, 9.32%, see rank | 8.96% | 9.59% |
| Public Transportation | 33, 0.13%, see rank | 1.06% | 5.06% |
| Walked | 252, 1.01%, see rank | 2.09% | 2.78% |
| Other Means | 250, 1.00%, see rank | 1.44% | 1.79% |
| Worked at Home | 1,049, 4.22%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46143 Zip Code | 27.3 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46143 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 25,333, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 21,823, 86.14%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,266, 8.94%, see rank | 9.26% | 10.03% |
| Public Transportation | 28, 0.11%, see rank | 1.06% | 4.98% |
| Walked | 265, 1.05%, see rank | 2.18% | 2.82% |
| Other Means | 165, 0.65%, see rank | 1.38% | 1.76% |
| Worked at Home | 786, 3.10%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46143 Zip Code | 26.5 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46143 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 16,755, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,651, 87.44%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,410, 8.42%, see rank | 11.03% | 12.19% |
| Public Transportation | 14, 0.08%, see rank | 1.02% | 4.73% |
| Walked | 97, 0.58%, see rank | 2.38% | 2.93% |
| Other Means | 190, 1.13%, see rank | 0.92% | 1.19% |
| Worked at Home | 393, 2.35%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46143 Zip Code | 24.9 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.
