20186 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20186 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 7,235, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,683, 78.55%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 782, 10.81%, see rank | 9.56% | 9.59% |
| Public Transportation | 77, 1.06%, see rank | 4.50% | 5.06% |
| Walked | 216, 2.99%, see rank | 2.38% | 2.78% |
| Other Means | 76, 1.05%, see rank | 1.51% | 1.79% |
| Worked at Home | 401, 5.54%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 20186 Zip Code | 37.0 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20186 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 7,122, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,593, 78.53%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 775, 10.88%, see rank | 10.18% | 10.03% |
| Public Transportation | 89, 1.25%, see rank | 4.43% | 4.98% |
| Walked | 256, 3.59%, see rank | 2.30% | 2.82% |
| Other Means | 92, 1.29%, see rank | 1.41% | 1.76% |
| Worked at Home | 317, 4.45%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 20186 Zip Code | 35.8 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20186 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 5,308, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,211, 79.33%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 525, 9.89%, see rank | 12.67% | 12.19% |
| Public Transportation | 38, 0.72%, see rank | 3.57% | 4.73% |
| Walked | 282, 5.31%, see rank | 2.31% | 2.93% |
| Other Means | 21, 0.40%, see rank | 1.15% | 1.19% |
| Worked at Home | 231, 4.35%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 20186 Zip Code | 31.8 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.
