Mount Carbon, WV Historical Commuting to Work Data
ACS 2010-2014 data
| | Mount Carbon, WV | West Virginia | U.S. |
| Workers 16 Years and Over | 135, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 135, 100.00%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.25% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.75% | 5.06% |
| Walked | 0, 0.00%, see rank | 2.85% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.01% | 1.79% |
| Worked at Home | 0, 0.00%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| Mount Carbon, WV | 21.6 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Mount Carbon, WV | West Virginia | U.S. |
| Workers 16 Years and Over | 141, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 141, 100.00%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.41% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.89% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.01% | 1.76% |
| Worked at Home | 0, 0.00%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| Mount Carbon, WV | 22.6 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Mount Carbon, WV | West Virginia | U.S. |
| Workers 16 Years and Over | 128, 100% | 744,023 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 128, 100.00%, see rank | 81.35% | 76.00% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.81% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 0.91% | 4.94% |
| Walked | 0, 0.00%, see rank | 2.88% | 2.85% |
| Other Means | 0, 0.00%, see rank | 1.17% | 1.72% |
| Worked at Home | 0, 0.00%, see rank | 2.89% | 4.14% |
Mean Travel Time to Work, see rank| Mount Carbon, WV | 27.3 minutes |
| West Virginia | 25.1 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.
