27885 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 27885 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 444, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 282, 63.51%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 87, 19.59%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 13, 2.93%, see rank | 1.78% | 2.78% |
| Other Means | 62, 13.96%, see rank | 1.31% | 1.79% |
| Worked at Home | 0, 0.00%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 27885 Zip Code | 16.7 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 27885 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 574, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 350, 60.98%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 167, 29.09%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 21, 3.66%, see rank | 1.79% | 2.82% |
| Other Means | 31, 5.40%, see rank | 1.28% | 1.76% |
| Worked at Home | 5, 0.87%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 27885 Zip Code | 19.0 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 27885 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 467, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 411, 88.01%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 34, 7.28%, see rank | 14.03% | 12.19% |
| Public Transportation | 7, 1.50%, see rank | 0.91% | 4.73% |
| Walked | 6, 1.28%, see rank | 1.93% | 2.93% |
| Other Means | 9, 1.93%, see rank | 1.07% | 1.19% |
| Worked at Home | 0, 0.00%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 27885 Zip Code | 16.6 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.
