25882 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 25882 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 1,110, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 939, 84.59%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 114, 10.27%, see rank | 10.25% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.75% | 5.06% |
| Walked | 23, 2.07%, see rank | 2.85% | 2.78% |
| Other Means | 10, 0.90%, see rank | 1.01% | 1.79% |
| Worked at Home | 24, 2.16%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| 25882 Zip Code | 28.7 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 25882 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 962, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 779, 80.98%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 134, 13.93%, see rank | 10.41% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.98% |
| Walked | 19, 1.98%, see rank | 2.89% | 2.82% |
| Other Means | 7, 0.73%, see rank | 1.01% | 1.76% |
| Worked at Home | 23, 2.39%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 25882 Zip Code | 32.1 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 25882 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 921, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 708, 76.87%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 162, 17.59%, see rank | 12.69% | 12.19% |
| Public Transportation | 3, 0.33%, see rank | 0.80% | 4.73% |
| Walked | 26, 2.82%, see rank | 2.93% | 2.93% |
| Other Means | 5, 0.54%, see rank | 0.89% | 1.19% |
| Worked at Home | 17, 1.85%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 25882 Zip Code | 32.3 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.
