24018 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 24018 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 18,040, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,836, 87.78%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,189, 6.59%, see rank | 9.56% | 9.59% |
| Public Transportation | 16, 0.09%, see rank | 4.50% | 5.06% |
| Walked | 71, 0.39%, see rank | 2.38% | 2.78% |
| Other Means | 101, 0.56%, see rank | 1.51% | 1.79% |
| Worked at Home | 827, 4.58%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 24018 Zip Code | 19.8 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 24018 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 18,356, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,975, 87.03%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,383, 7.53%, see rank | 10.18% | 10.03% |
| Public Transportation | 1, 0.01%, see rank | 4.43% | 4.98% |
| Walked | 157, 0.86%, see rank | 2.30% | 2.82% |
| Other Means | 120, 0.65%, see rank | 1.41% | 1.76% |
| Worked at Home | 720, 3.92%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 24018 Zip Code | 19.4 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 24018 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 14,735, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,162, 89.32%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 782, 5.31%, see rank | 12.67% | 12.19% |
| Public Transportation | 51, 0.35%, see rank | 3.57% | 4.73% |
| Walked | 62, 0.42%, see rank | 2.31% | 2.93% |
| Other Means | 59, 0.40%, see rank | 1.15% | 1.19% |
| Worked at Home | 619, 4.20%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 24018 Zip Code | 18.7 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.
