47802 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47802 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 14,184, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,570, 88.62%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,174, 8.28%, see rank | 8.96% | 9.59% |
| Public Transportation | 59, 0.42%, see rank | 1.06% | 5.06% |
| Walked | 111, 0.78%, see rank | 2.09% | 2.78% |
| Other Means | 108, 0.76%, see rank | 1.44% | 1.79% |
| Worked at Home | 162, 1.14%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47802 Zip Code | 18.8 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47802 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 14,414, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,578, 87.26%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,238, 8.59%, see rank | 9.26% | 10.03% |
| Public Transportation | 55, 0.38%, see rank | 1.06% | 4.98% |
| Walked | 136, 0.94%, see rank | 2.18% | 2.82% |
| Other Means | 191, 1.33%, see rank | 1.38% | 1.76% |
| Worked at Home | 216, 1.50%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47802 Zip Code | 19.9 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47802 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 13,894, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,909, 85.71%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,331, 9.58%, see rank | 11.03% | 12.19% |
| Public Transportation | 60, 0.43%, see rank | 1.02% | 4.73% |
| Walked | 184, 1.32%, see rank | 2.38% | 2.93% |
| Other Means | 106, 0.76%, see rank | 0.92% | 1.19% |
| Worked at Home | 304, 2.19%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47802 Zip Code | 18.7 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.
