47807 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47807 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 5,093, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,738, 73.39%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 438, 8.60%, see rank | 8.96% | 9.59% |
| Public Transportation | 297, 5.83%, see rank | 1.06% | 5.06% |
| Walked | 311, 6.11%, see rank | 2.09% | 2.78% |
| Other Means | 209, 4.10%, see rank | 1.44% | 1.79% |
| Worked at Home | 100, 1.96%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47807 Zip Code | 17.7 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47807 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 4,672, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,543, 75.83%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 425, 9.10%, see rank | 9.26% | 10.03% |
| Public Transportation | 144, 3.08%, see rank | 1.06% | 4.98% |
| Walked | 338, 7.23%, see rank | 2.18% | 2.82% |
| Other Means | 185, 3.96%, see rank | 1.38% | 1.76% |
| Worked at Home | 37, 0.79%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47807 Zip Code | 17.8 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47807 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 7,369, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,899, 66.48%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,051, 14.26%, see rank | 11.03% | 12.19% |
| Public Transportation | 41, 0.56%, see rank | 1.02% | 4.73% |
| Walked | 1,098, 14.90%, see rank | 2.38% | 2.93% |
| Other Means | 171, 2.32%, see rank | 0.92% | 1.19% |
| Worked at Home | 109, 1.48%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47807 Zip Code | 14.7 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.
