46229 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 46229 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,339, 100% | 2,942,663 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,382, 84.14%, see rank | 83.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,073, 8.70%, see rank | 8.96% | 9.59% |
| Public Transportation | 419, 3.40%, see rank | 1.06% | 5.06% |
| Walked | 90, 0.73%, see rank | 2.09% | 2.78% |
| Other Means | 86, 0.70%, see rank | 1.44% | 1.79% |
| Worked at Home | 289, 2.34%, see rank | 3.27% | 4.37% |
Mean Travel Time to Work, see rank| 46229 Zip Code | 23.2 minutes |
| Indiana | 23.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 46229 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,787, 100% | 2,923,571 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,652, 83.30%, see rank | 82.86% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,176, 9.20%, see rank | 9.26% | 10.03% |
| Public Transportation | 380, 2.97%, see rank | 1.06% | 4.98% |
| Walked | 79, 0.62%, see rank | 2.18% | 2.82% |
| Other Means | 123, 0.96%, see rank | 1.38% | 1.76% |
| Worked at Home | 377, 2.95%, see rank | 3.26% | 4.27% |
Mean Travel Time to Work, see rank| 46229 Zip Code | 21.7 minutes |
| Indiana | 23.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 46229 Zip Code | Indiana | U.S. |
| Workers 16 Years and Over | 12,105, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,269, 84.83%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,123, 9.28%, see rank | 11.03% | 12.19% |
| Public Transportation | 125, 1.03%, see rank | 1.02% | 4.73% |
| Walked | 175, 1.45%, see rank | 2.38% | 2.93% |
| Other Means | 97, 0.80%, see rank | 0.92% | 1.19% |
| Worked at Home | 316, 2.61%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| 46229 Zip Code | 22.6 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.
