47265 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47265 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 8,622, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,113, 82.50%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 926, 10.74%, see rank | 8.96% | 9.59% |
| Public Transportation | 29, 0.34%, see rank | 1.06% | 5.06% |
| Walked | 164, 1.90%, see rank | 2.09% | 2.78% |
| Other Means | 126, 1.46%, see rank | 1.44% | 1.79% |
| Worked at Home | 264, 3.06%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47265 Zip Code | 25.3 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47265 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 8,481, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,875, 81.06%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,128, 13.30%, see rank | 9.26% | 10.03% |
| Public Transportation | 53, 0.62%, see rank | 1.06% | 4.98% |
| Walked | 77, 0.91%, see rank | 2.18% | 2.82% |
| Other Means | 133, 1.57%, see rank | 1.38% | 1.76% |
| Worked at Home | 215, 2.54%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47265 Zip Code | 26.2 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47265 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 9,252, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,364, 79.59%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,555, 16.81%, see rank | 11.03% | 12.19% |
| Public Transportation | 19, 0.21%, see rank | 1.02% | 4.73% |
| Walked | 79, 0.85%, see rank | 2.38% | 2.93% |
| Other Means | 70, 0.76%, see rank | 0.92% | 1.19% |
| Worked at Home | 165, 1.78%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47265 Zip Code | 23.5 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.
