Indian Heights, IN Historical Commuting to Work Data
ACS 2006-2010 data
| | Indian Heights, IN | Indiana | U.S. |
| Workers 16 Years and Over | 1,298, 100% | 2,932,461 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 1,200, 92.45%, see rank | 82.73% | 76.00% |
| Car, Truck, or Van—Carpooled | 53, 4.08%, see rank | 9.50% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 1.06% | 4.94% |
| Walked | 11, 0.85%, see rank | 2.22% | 2.85% |
| Other Means | 9, 0.69%, see rank | 1.27% | 1.72% |
| Worked at Home | 25, 1.93%, see rank | 3.23% | 4.14% |
Mean Travel Time to Work, see rank| Indian Heights, IN | 20.0 minutes |
| Indiana | 22.6 minutes |
| U.S. | 25.3 minutes |
ACS 2005-2009 data
| | Indian Heights, IN | Indiana | U.S. |
| Workers 16 Years and Over | 1,293, 100% | 2,929,911 | 138,541,405 |
| Car, Truck, or Van—Drove Alone | 1,100, 85.07%, see rank | 82.45% | 75.92% |
| Car, Truck, or Van—Carpooled | 142, 10.98%, see rank | 9.71% | 10.52% |
| Public Transportation | 0, 0.00%, see rank | 1.02% | 4.95% |
| Walked | 3, 0.23%, see rank | 2.27% | 2.86% |
| Other Means | 17, 1.31%, see rank | 1.35% | 1.72% |
| Worked at Home | 31, 2.40%, see rank | 3.20% | 4.02% |
Mean Travel Time to Work, see rank| Indian Heights, IN | 19.6 minutes |
| Indiana | 22.4 minutes |
| U.S. | 25.2 minutes |
US Census 2000 data
| | Indian Heights, IN | Indiana | U.S. |
| Workers 16 Years and Over | 1,512, 100% | 2,910,612 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,287, 85.12%, see rank | 81.77% | 75.70% |
| Car, Truck, or Van—Carpooled | 193, 12.76%, see rank | 11.03% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.02% | 4.73% |
| Walked | 7, 0.46%, see rank | 2.38% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.92% | 1.19% |
| Worked at Home | 25, 1.65%, see rank | 2.89% | 3.26% |
Mean Travel Time to Work, see rank| Indian Heights, IN | 18.9 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.
