25515 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 25515 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 872, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 722, 82.80%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 83, 9.52%, see rank | 10.25% | 9.59% |
| Public Transportation | 14, 1.61%, see rank | 0.75% | 5.06% |
| Walked | 30, 3.44%, see rank | 2.85% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.01% | 1.79% |
| Worked at Home | 23, 2.64%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| 25515 Zip Code | 31.8 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 25515 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 916, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 760, 82.97%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 134, 14.63%, see rank | 10.41% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.98% |
| Walked | 6, 0.66%, see rank | 2.89% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.01% | 1.76% |
| Worked at Home | 16, 1.75%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 25515 Zip Code | 28.0 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 25515 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 814, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 677, 83.17%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 86, 10.57%, see rank | 12.69% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 15, 1.84%, see rank | 2.93% | 2.93% |
| Other Means | 8, 0.98%, see rank | 0.89% | 1.19% |
| Worked at Home | 28, 3.44%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 25515 Zip Code | 31.5 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.
