26059 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 26059 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 1,206, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 994, 82.42%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 89, 7.38%, see rank | 10.25% | 9.59% |
| Public Transportation | 13, 1.08%, see rank | 0.75% | 5.06% |
| Walked | 49, 4.06%, see rank | 2.85% | 2.78% |
| Other Means | 17, 1.41%, see rank | 1.01% | 1.79% |
| Worked at Home | 44, 3.65%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| 26059 Zip Code | 23.8 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 26059 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 1,161, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 914, 78.73%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 136, 11.71%, see rank | 10.41% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.98% |
| Walked | 66, 5.68%, see rank | 2.89% | 2.82% |
| Other Means | 16, 1.38%, see rank | 1.01% | 1.76% |
| Worked at Home | 29, 2.50%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 26059 Zip Code | 23.8 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 26059 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 1,564, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,256, 80.31%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 200, 12.79%, see rank | 12.69% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 68, 4.35%, see rank | 2.93% | 2.93% |
| Other Means | 13, 0.83%, see rank | 0.89% | 1.19% |
| Worked at Home | 27, 1.73%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 26059 Zip Code | 19.4 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.
