22960 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 22960 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 4,520, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,483, 77.06%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 536, 11.86%, see rank | 9.56% | 9.59% |
| Public Transportation | 18, 0.40%, see rank | 4.50% | 5.06% |
| Walked | 158, 3.50%, see rank | 2.38% | 2.78% |
| Other Means | 52, 1.15%, see rank | 1.51% | 1.79% |
| Worked at Home | 273, 6.04%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 22960 Zip Code | 29.3 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 22960 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 4,756, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,821, 80.34%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 431, 9.06%, see rank | 10.18% | 10.03% |
| Public Transportation | 34, 0.71%, see rank | 4.43% | 4.98% |
| Walked | 154, 3.24%, see rank | 2.30% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.41% | 1.76% |
| Worked at Home | 316, 6.64%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 22960 Zip Code | 26.9 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 22960 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 4,570, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,688, 80.70%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 498, 10.90%, see rank | 12.67% | 12.19% |
| Public Transportation | 11, 0.24%, see rank | 3.57% | 4.73% |
| Walked | 172, 3.76%, see rank | 2.31% | 2.93% |
| Other Means | 37, 0.81%, see rank | 1.15% | 1.19% |
| Worked at Home | 164, 3.59%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 22960 Zip Code | 25.2 minutes |
| Virginia | 26.6 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.
