46219 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46219 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 15,497, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,843, 82.87%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,562, 10.08%, see rank | 8.96% | 9.59% |
| Public Transportation | 327, 2.11%, see rank | 1.06% | 5.06% |
| Walked | 254, 1.64%, see rank | 2.09% | 2.78% |
| Other Means | 241, 1.56%, see rank | 1.44% | 1.79% |
| Worked at Home | 270, 1.74%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46219 Zip Code | 21.9 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46219 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 14,960, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,477, 83.40%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,597, 10.68%, see rank | 9.26% | 10.03% |
| Public Transportation | 239, 1.60%, see rank | 1.06% | 4.98% |
| Walked | 317, 2.12%, see rank | 2.18% | 2.82% |
| Other Means | 103, 0.69%, see rank | 1.38% | 1.76% |
| Worked at Home | 227, 1.52%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46219 Zip Code | 22.0 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46219 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,517, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,389, 82.14%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,889, 10.78%, see rank | 11.03% | 12.19% |
| Public Transportation | 419, 2.39%, see rank | 1.02% | 4.73% |
| Walked | 298, 1.70%, see rank | 2.38% | 2.93% |
| Other Means | 145, 0.83%, see rank | 0.92% | 1.19% |
| Worked at Home | 377, 2.15%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46219 Zip Code | 21.0 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.
