46526 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46526 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 14,912, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,680, 78.33%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,906, 12.78%, see rank | 8.96% | 9.59% |
| Public Transportation | 115, 0.77%, see rank | 1.06% | 5.06% |
| Walked | 505, 3.39%, see rank | 2.09% | 2.78% |
| Other Means | 368, 2.47%, see rank | 1.44% | 1.79% |
| Worked at Home | 338, 2.27%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46526 Zip Code | 16.6 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46526 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 15,015, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,557, 76.97%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,871, 12.46%, see rank | 9.26% | 10.03% |
| Public Transportation | 95, 0.63%, see rank | 1.06% | 4.98% |
| Walked | 563, 3.75%, see rank | 2.18% | 2.82% |
| Other Means | 530, 3.53%, see rank | 1.38% | 1.76% |
| Worked at Home | 399, 2.66%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46526 Zip Code | 17.5 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46526 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 13,647, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,871, 79.66%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,563, 11.45%, see rank | 11.03% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.02% | 4.73% |
| Walked | 563, 4.13%, see rank | 2.38% | 2.93% |
| Other Means | 232, 1.70%, see rank | 0.92% | 1.19% |
| Worked at Home | 418, 3.06%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46526 Zip Code | 16.2 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.
