Sterling, VA Historical Commuting to Work Data
ACS 2010-2014 data
| | Sterling, VA | Virginia | U.S. |
| Workers 16 Years and Over | 16,142, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,860, 79.67%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,824, 11.30%, see rank | 9.56% | 9.59% |
| Public Transportation | 498, 3.09%, see rank | 4.50% | 5.06% |
| Walked | 216, 1.34%, see rank | 2.38% | 2.78% |
| Other Means | 320, 1.98%, see rank | 1.51% | 1.79% |
| Worked at Home | 424, 2.63%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| Sterling, VA | 27.2 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Sterling, VA | Virginia | U.S. |
| Workers 16 Years and Over | 15,659, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,309, 78.61%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,111, 13.48%, see rank | 10.18% | 10.03% |
| Public Transportation | 264, 1.69%, see rank | 4.43% | 4.98% |
| Walked | 175, 1.12%, see rank | 2.30% | 2.82% |
| Other Means | 289, 1.85%, see rank | 1.41% | 1.76% |
| Worked at Home | 511, 3.26%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| Sterling, VA | 28.0 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Sterling, VA | Virginia | U.S. |
| Workers 16 Years and Over | 15,415, 100% | 3,851,989 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 12,437, 80.68%, see rank | 77.00% | 76.00% |
| Car, Truck, or Van—Carpooled | 1,799, 11.67%, see rank | 10.78% | 10.35% |
| Public Transportation | 240, 1.56%, see rank | 4.26% | 4.94% |
| Walked | 152, 0.99%, see rank | 2.36% | 2.85% |
| Other Means | 353, 2.29%, see rank | 1.38% | 1.72% |
| Worked at Home | 434, 2.82%, see rank | 4.23% | 4.14% |
Mean Travel Time to Work, see rank| Sterling, VA | 29.1 minutes |
| Virginia | 27.2 minutes |
| U.S. | 25.3 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.
