25275 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 25275 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 948, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 777, 81.96%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 163, 17.19%, 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 | 8, 0.84%, 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| 25275 Zip Code | 25.2 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 25275 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 855, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 660, 77.19%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 173, 20.23%, see rank | 10.41% | 10.03% |
| Public Transportation | 12, 1.40%, see rank | 0.81% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.89% | 2.82% |
| Other Means | 6, 0.70%, see rank | 1.01% | 1.76% |
| Worked at Home | 4, 0.47%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 25275 Zip Code | 30.3 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 25275 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 962, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 764, 79.42%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 107, 11.12%, see rank | 12.69% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 49, 5.09%, see rank | 2.93% | 2.93% |
| Other Means | 6, 0.62%, see rank | 0.89% | 1.19% |
| Worked at Home | 36, 3.74%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 25275 Zip Code | 30.6 minutes |
| West Virginia | 25.1 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.
