26032 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 26032 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 512, 100% | 736,438 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 304, 59.38%, see rank | 82.32% | 76.41% |
| Car, Truck, or Van—Carpooled | 36, 7.03%, see rank | 10.25% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.75% | 5.06% |
| Walked | 98, 19.14%, see rank | 2.85% | 2.78% |
| Other Means | 2, 0.39%, see rank | 1.01% | 1.79% |
| Worked at Home | 72, 14.06%, see rank | 2.84% | 4.37% |
Mean Travel Time to Work, see rank| 26032 Zip Code | 21.3 minutes |
| West Virginia | 25.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 26032 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 514, 100% | 743,046 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 254, 49.42%, see rank | 81.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 53, 10.31%, see rank | 10.41% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.81% | 4.98% |
| Walked | 81, 15.76%, see rank | 2.89% | 2.82% |
| Other Means | 2, 0.39%, see rank | 1.01% | 1.76% |
| Worked at Home | 124, 24.12%, see rank | 3.01% | 4.27% |
Mean Travel Time to Work, see rank| 26032 Zip Code | 18.4 minutes |
| West Virginia | 25.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 26032 Zip Code | West Virginia | U.S. |
| Workers 16 Years and Over | 688, 100% | 718,106 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 427, 62.06%, see rank | 80.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 58, 8.43%, see rank | 12.69% | 12.19% |
| Public Transportation | 8, 1.16%, see rank | 0.80% | 4.73% |
| Walked | 170, 24.71%, see rank | 2.93% | 2.93% |
| Other Means | 13, 1.89%, see rank | 0.89% | 1.19% |
| Worked at Home | 12, 1.74%, see rank | 2.43% | 3.26% |
Mean Travel Time to Work, see rank| 26032 Zip Code | 15.9 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.
