46176 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46176 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,615, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,567, 83.77%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,456, 11.54%, see rank | 8.96% | 9.59% |
| Public Transportation | 16, 0.13%, see rank | 1.06% | 5.06% |
| Walked | 124, 0.98%, see rank | 2.09% | 2.78% |
| Other Means | 252, 2.00%, see rank | 1.44% | 1.79% |
| Worked at Home | 200, 1.59%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46176 Zip Code | 21.4 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46176 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,799, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,630, 83.05%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,439, 11.24%, see rank | 9.26% | 10.03% |
| Public Transportation | 23, 0.18%, see rank | 1.06% | 4.98% |
| Walked | 152, 1.19%, see rank | 2.18% | 2.82% |
| Other Means | 337, 2.63%, see rank | 1.38% | 1.76% |
| Worked at Home | 218, 1.70%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46176 Zip Code | 21.0 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46176 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 13,321, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,977, 82.40%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,409, 10.58%, see rank | 11.03% | 12.19% |
| Public Transportation | 34, 0.26%, see rank | 1.02% | 4.73% |
| Walked | 339, 2.54%, see rank | 2.38% | 2.93% |
| Other Means | 216, 1.62%, see rank | 0.92% | 1.19% |
| Worked at Home | 346, 2.60%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46176 Zip Code | 18.9 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.
