47714 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 47714 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 14,578, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,740, 80.53%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,299, 8.91%, see rank | 8.96% | 9.59% |
| Public Transportation | 472, 3.24%, see rank | 1.06% | 5.06% |
| Walked | 402, 2.76%, see rank | 2.09% | 2.78% |
| Other Means | 370, 2.54%, see rank | 1.44% | 1.79% |
| Worked at Home | 295, 2.02%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 47714 Zip Code | 18.4 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 47714 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 15,228, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,997, 78.78%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,726, 11.33%, see rank | 9.26% | 10.03% |
| Public Transportation | 392, 2.57%, see rank | 1.06% | 4.98% |
| Walked | 506, 3.32%, see rank | 2.18% | 2.82% |
| Other Means | 266, 1.75%, see rank | 1.38% | 1.76% |
| Worked at Home | 341, 2.24%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 47714 Zip Code | 17.8 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 47714 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 17,560, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,427, 82.16%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,694, 9.65%, see rank | 11.03% | 12.19% |
| Public Transportation | 242, 1.38%, see rank | 1.02% | 4.73% |
| Walked | 730, 4.16%, see rank | 2.38% | 2.93% |
| Other Means | 90, 0.51%, see rank | 0.92% | 1.19% |
| Worked at Home | 377, 2.15%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 47714 Zip Code | 17.2 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.
