28787 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 28787 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 8,799, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,103, 80.73%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 924, 10.50%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 73, 0.83%, see rank | 1.78% | 2.78% |
| Other Means | 60, 0.68%, see rank | 1.31% | 1.79% |
| Worked at Home | 639, 7.26%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 28787 Zip Code | 22.0 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 28787 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 8,554, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,966, 81.44%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,111, 12.99%, see rank | 10.70% | 10.03% |
| Public Transportation | 3, 0.04%, see rank | 1.09% | 4.98% |
| Walked | 133, 1.55%, see rank | 1.79% | 2.82% |
| Other Means | 15, 0.18%, see rank | 1.28% | 1.76% |
| Worked at Home | 326, 3.81%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 28787 Zip Code | 22.6 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 28787 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 8,349, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,867, 82.25%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 947, 11.34%, see rank | 14.03% | 12.19% |
| Public Transportation | 6, 0.07%, see rank | 0.91% | 4.73% |
| Walked | 84, 1.01%, see rank | 1.93% | 2.93% |
| Other Means | 43, 0.52%, see rank | 1.07% | 1.19% |
| Worked at Home | 402, 4.81%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 28787 Zip Code | 22.4 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.
