28577 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 28577 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 195, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 135, 69.23%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 34, 17.44%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 20, 10.26%, see rank | 1.78% | 2.78% |
| Other Means | 6, 3.08%, 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| 28577 Zip Code | 30.1 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 28577 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 199, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 174, 87.44%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 13, 6.53%, see rank | 10.70% | 10.03% |
| Public Transportation | 8, 4.02%, see rank | 1.09% | 4.98% |
| Walked | 4, 2.01%, see rank | 1.79% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.28% | 1.76% |
| Worked at Home | 0, 0.00%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 28577 Zip Code | 41.0 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 28577 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 78, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 71, 91.03%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 14.03% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.91% | 4.73% |
| Walked | 0, 0.00%, see rank | 1.93% | 2.93% |
| Other Means | 7, 8.97%, 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| 28577 Zip Code | 48.6 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.
