22209 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 22209 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 8,309, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,030, 36.47%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 373, 4.49%, see rank | 9.56% | 9.59% |
| Public Transportation | 3,528, 42.46%, see rank | 4.50% | 5.06% |
| Walked | 799, 9.62%, see rank | 2.38% | 2.78% |
| Other Means | 165, 1.99%, see rank | 1.51% | 1.79% |
| Worked at Home | 414, 4.98%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 22209 Zip Code | 26.0 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 22209 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 8,914, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,462, 38.84%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 382, 4.29%, see rank | 10.18% | 10.03% |
| Public Transportation | 3,828, 42.94%, see rank | 4.43% | 4.98% |
| Walked | 712, 7.99%, see rank | 2.30% | 2.82% |
| Other Means | 210, 2.36%, see rank | 1.41% | 1.76% |
| Worked at Home | 320, 3.59%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 22209 Zip Code | 26.3 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 22209 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 8,098, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,134, 38.70%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 651, 8.04%, see rank | 12.67% | 12.19% |
| Public Transportation | 3,139, 38.76%, see rank | 3.57% | 4.73% |
| Walked | 925, 11.42%, see rank | 2.31% | 2.93% |
| Other Means | 85, 1.05%, see rank | 1.15% | 1.19% |
| Worked at Home | 164, 2.03%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 22209 Zip Code | 26.2 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.
