20155 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20155 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 15,985, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,788, 80.00%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,520, 9.51%, see rank | 9.56% | 9.59% |
| Public Transportation | 411, 2.57%, see rank | 4.50% | 5.06% |
| Walked | 86, 0.54%, see rank | 2.38% | 2.78% |
| Other Means | 98, 0.61%, see rank | 1.51% | 1.79% |
| Worked at Home | 1,082, 6.77%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 20155 Zip Code | 44.0 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20155 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 14,853, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,577, 77.94%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,468, 9.88%, see rank | 10.18% | 10.03% |
| Public Transportation | 582, 3.92%, see rank | 4.43% | 4.98% |
| Walked | 48, 0.32%, see rank | 2.30% | 2.82% |
| Other Means | 158, 1.06%, see rank | 1.41% | 1.76% |
| Worked at Home | 1,020, 6.87%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 20155 Zip Code | 43.6 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20155 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 3,562, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,769, 77.74%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 446, 12.52%, see rank | 12.67% | 12.19% |
| Public Transportation | 57, 1.60%, see rank | 3.57% | 4.73% |
| Walked | 25, 0.70%, see rank | 2.31% | 2.93% |
| Other Means | 23, 0.65%, see rank | 1.15% | 1.19% |
| Worked at Home | 242, 6.79%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 20155 Zip Code | 38.9 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.
