28460 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 28460 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 4,464, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,425, 76.72%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 620, 13.89%, see rank | 10.15% | 9.59% |
| Public Transportation | 3, 0.07%, see rank | 1.12% | 5.06% |
| Walked | 79, 1.77%, see rank | 1.78% | 2.78% |
| Other Means | 54, 1.21%, see rank | 1.31% | 1.79% |
| Worked at Home | 283, 6.34%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 28460 Zip Code | 21.8 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 28460 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 3,689, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,634, 71.40%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 534, 14.48%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 65, 1.76%, see rank | 1.79% | 2.82% |
| Other Means | 234, 6.34%, see rank | 1.28% | 1.76% |
| Worked at Home | 222, 6.02%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 28460 Zip Code | 25.2 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 28460 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 2,316, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,962, 84.72%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 242, 10.45%, see rank | 14.03% | 12.19% |
| Public Transportation | 2, 0.09%, see rank | 0.91% | 4.73% |
| Walked | 51, 2.20%, see rank | 1.93% | 2.93% |
| Other Means | 34, 1.47%, see rank | 1.07% | 1.19% |
| Worked at Home | 25, 1.08%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 28460 Zip Code | 28.5 minutes |
| North Carolina | 23.2 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.
