28373 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 28373 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 1,104, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 969, 87.77%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 75, 6.79%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 19, 1.72%, see rank | 1.78% | 2.78% |
| Other Means | 13, 1.18%, see rank | 1.31% | 1.79% |
| Worked at Home | 28, 2.54%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 28373 Zip Code | 18.4 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 28373 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 999, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 881, 88.19%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 51, 5.11%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 25, 2.50%, see rank | 1.79% | 2.82% |
| Other Means | 14, 1.40%, see rank | 1.28% | 1.76% |
| Worked at Home | 28, 2.80%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 28373 Zip Code | 17.7 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 28373 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 548, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 402, 73.36%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 90, 16.42%, see rank | 14.03% | 12.19% |
| Public Transportation | 2, 0.36%, see rank | 0.91% | 4.73% |
| Walked | 3, 0.55%, see rank | 1.93% | 2.93% |
| Other Means | 5, 0.91%, see rank | 1.07% | 1.19% |
| Worked at Home | 46, 8.39%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 28373 Zip Code | 19.3 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.
