20169 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20169 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 10,648, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,549, 80.29%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 973, 9.14%, see rank | 9.56% | 9.59% |
| Public Transportation | 370, 3.47%, see rank | 4.50% | 5.06% |
| Walked | 51, 0.48%, see rank | 2.38% | 2.78% |
| Other Means | 109, 1.02%, see rank | 1.51% | 1.79% |
| Worked at Home | 596, 5.60%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 20169 Zip Code | 45.0 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20169 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 9,471, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,736, 81.68%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 816, 8.62%, see rank | 10.18% | 10.03% |
| Public Transportation | 288, 3.04%, see rank | 4.43% | 4.98% |
| Walked | 28, 0.30%, see rank | 2.30% | 2.82% |
| Other Means | 80, 0.84%, see rank | 1.41% | 1.76% |
| Worked at Home | 523, 5.52%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 20169 Zip Code | 44.2 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20169 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 3,286, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,677, 81.47%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 350, 10.65%, see rank | 12.67% | 12.19% |
| Public Transportation | 36, 1.10%, see rank | 3.57% | 4.73% |
| Walked | 61, 1.86%, see rank | 2.31% | 2.93% |
| Other Means | 24, 0.73%, see rank | 1.15% | 1.19% |
| Worked at Home | 138, 4.20%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 20169 Zip Code | 38.5 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.
