County Center, VA Historical Commuting to Work Data
ACS 2010-2014 data
| | County Center, VA | Virginia | U.S. |
| Workers 16 Years and Over | 1,379, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,056, 76.58%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 111, 8.05%, see rank | 9.56% | 9.59% |
| Public Transportation | 119, 8.63%, see rank | 4.50% | 5.06% |
| Walked | 2, 0.15%, see rank | 2.38% | 2.78% |
| Other Means | 17, 1.23%, see rank | 1.51% | 1.79% |
| Worked at Home | 74, 5.37%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| County Center, VA | 44.3 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | County Center, VA | Virginia | U.S. |
| Workers 16 Years and Over | 1,630, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,283, 78.71%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 190, 11.66%, see rank | 10.18% | 10.03% |
| Public Transportation | 97, 5.95%, see rank | 4.43% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.30% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.41% | 1.76% |
| Worked at Home | 60, 3.68%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| County Center, VA | 47.0 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | County Center, VA | Virginia | U.S. |
| Workers 16 Years and Over | 1,798, 100% | 3,851,989 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 1,371, 76.25%, see rank | 77.00% | 76.00% |
| Car, Truck, or Van—Carpooled | 304, 16.91%, see rank | 10.78% | 10.35% |
| Public Transportation | 32, 1.78%, see rank | 4.26% | 4.94% |
| Walked | 17, 0.95%, see rank | 2.36% | 2.85% |
| Other Means | 16, 0.89%, see rank | 1.38% | 1.72% |
| Worked at Home | 58, 3.23%, see rank | 4.23% | 4.14% |
Mean Travel Time to Work, see rank| County Center, VA | 42.0 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.
