47905 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47905 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 20,199, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 16,546, 81.91%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,990, 9.85%, see rank | 8.96% | 9.59% |
| Public Transportation | 250, 1.24%, see rank | 1.06% | 5.06% |
| Walked | 422, 2.09%, see rank | 2.09% | 2.78% |
| Other Means | 366, 1.81%, see rank | 1.44% | 1.79% |
| Worked at Home | 625, 3.09%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47905 Zip Code | 16.5 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47905 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 19,890, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 16,691, 83.92%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,690, 8.50%, see rank | 9.26% | 10.03% |
| Public Transportation | 230, 1.16%, see rank | 1.06% | 4.98% |
| Walked | 319, 1.60%, see rank | 2.18% | 2.82% |
| Other Means | 306, 1.54%, see rank | 1.38% | 1.76% |
| Worked at Home | 654, 3.29%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47905 Zip Code | 17.0 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47905 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 18,798, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 15,826, 84.19%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,046, 10.88%, see rank | 11.03% | 12.19% |
| Public Transportation | 99, 0.53%, see rank | 1.02% | 4.73% |
| Walked | 113, 0.60%, see rank | 2.38% | 2.93% |
| Other Means | 227, 1.21%, see rank | 0.92% | 1.19% |
| Worked at Home | 487, 2.59%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47905 Zip Code | 17.4 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.
