20165 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20165 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 18,253, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,077, 82.60%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,108, 6.07%, see rank | 9.56% | 9.59% |
| Public Transportation | 459, 2.51%, see rank | 4.50% | 5.06% |
| Walked | 192, 1.05%, see rank | 2.38% | 2.78% |
| Other Means | 118, 0.65%, see rank | 1.51% | 1.79% |
| Worked at Home | 1,299, 7.12%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 20165 Zip Code | 33.0 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20165 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 17,670, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,447, 81.76%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,315, 7.44%, see rank | 10.18% | 10.03% |
| Public Transportation | 385, 2.18%, see rank | 4.43% | 4.98% |
| Walked | 194, 1.10%, see rank | 2.30% | 2.82% |
| Other Means | 88, 0.50%, see rank | 1.41% | 1.76% |
| Worked at Home | 1,241, 7.02%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 20165 Zip Code | 33.8 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20165 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 15,174, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,635, 83.27%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,424, 9.38%, see rank | 12.67% | 12.19% |
| Public Transportation | 237, 1.56%, see rank | 3.57% | 4.73% |
| Walked | 153, 1.01%, see rank | 2.31% | 2.93% |
| Other Means | 64, 0.42%, see rank | 1.15% | 1.19% |
| Worked at Home | 661, 4.36%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 20165 Zip Code | 34.3 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.
