46218 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46218 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 9,754, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,548, 77.38%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,109, 11.37%, see rank | 8.96% | 9.59% |
| Public Transportation | 665, 6.82%, see rank | 1.06% | 5.06% |
| Walked | 136, 1.39%, see rank | 2.09% | 2.78% |
| Other Means | 128, 1.31%, see rank | 1.44% | 1.79% |
| Worked at Home | 168, 1.72%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46218 Zip Code | 23.2 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46218 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 10,270, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,574, 73.75%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,315, 12.80%, see rank | 9.26% | 10.03% |
| Public Transportation | 1,006, 9.80%, see rank | 1.06% | 4.98% |
| Walked | 99, 0.96%, see rank | 2.18% | 2.82% |
| Other Means | 143, 1.39%, see rank | 1.38% | 1.76% |
| Worked at Home | 133, 1.30%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46218 Zip Code | 24.7 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46218 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,058, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,670, 71.90%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,928, 15.99%, see rank | 11.03% | 12.19% |
| Public Transportation | 953, 7.90%, see rank | 1.02% | 4.73% |
| Walked | 205, 1.70%, see rank | 2.38% | 2.93% |
| Other Means | 128, 1.06%, see rank | 0.92% | 1.19% |
| Worked at Home | 174, 1.44%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46218 Zip Code | 25.0 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.
