46835 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46835 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,264, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,294, 88.59%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 878, 5.09%, see rank | 8.96% | 9.59% |
| Public Transportation | 26, 0.15%, see rank | 1.06% | 5.06% |
| Walked | 163, 0.94%, see rank | 2.09% | 2.78% |
| Other Means | 155, 0.90%, see rank | 1.44% | 1.79% |
| Worked at Home | 748, 4.33%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46835 Zip Code | 20.1 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46835 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,018, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,052, 88.45%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,011, 5.94%, see rank | 9.26% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.06% | 4.98% |
| Walked | 162, 0.95%, see rank | 2.18% | 2.82% |
| Other Means | 144, 0.85%, see rank | 1.38% | 1.76% |
| Worked at Home | 649, 3.81%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46835 Zip Code | 19.5 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46835 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,051, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,621, 85.75%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,593, 9.34%, see rank | 11.03% | 12.19% |
| Public Transportation | 119, 0.70%, see rank | 1.02% | 4.73% |
| Walked | 147, 0.86%, see rank | 2.38% | 2.93% |
| Other Means | 71, 0.42%, see rank | 0.92% | 1.19% |
| Worked at Home | 500, 2.93%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46835 Zip Code | 19.9 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.
