25159 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 25159 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 2,228, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,081, 93.40%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 100, 4.49%, see rank | 10.25% | 9.59% |
| Public Transportation | 2, 0.09%, see rank | 0.75% | 5.06% |
| Walked | 16, 0.72%, see rank | 2.85% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.01% | 1.79% |
| Worked at Home | 29, 1.30%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| 25159 Zip Code | 24.7 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 25159 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 1,852, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,662, 89.74%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 80, 4.32%, see rank | 10.41% | 10.03% |
| Public Transportation | 3, 0.16%, 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 | 107, 5.78%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 25159 Zip Code | 27.1 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 25159 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 2,114, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,792, 84.77%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 212, 10.03%, see rank | 12.69% | 12.19% |
| Public Transportation | 2, 0.09%, see rank | 0.80% | 4.73% |
| Walked | 14, 0.66%, see rank | 2.93% | 2.93% |
| Other Means | 12, 0.57%, see rank | 0.89% | 1.19% |
| Worked at Home | 82, 3.88%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 25159 Zip Code | 24.5 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.
