27596 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 27596 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 7,697, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,357, 82.59%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 661, 8.59%, see rank | 10.15% | 9.59% |
| Public Transportation | 18, 0.23%, see rank | 1.12% | 5.06% |
| Walked | 45, 0.58%, see rank | 1.78% | 2.78% |
| Other Means | 56, 0.73%, see rank | 1.31% | 1.79% |
| Worked at Home | 560, 7.28%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 27596 Zip Code | 32.0 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 27596 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 7,229, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,790, 80.09%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 842, 11.65%, see rank | 10.70% | 10.03% |
| Public Transportation | 16, 0.22%, see rank | 1.09% | 4.98% |
| Walked | 40, 0.55%, see rank | 1.79% | 2.82% |
| Other Means | 32, 0.44%, see rank | 1.28% | 1.76% |
| Worked at Home | 509, 7.04%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 27596 Zip Code | 31.9 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 27596 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 4,727, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,910, 82.72%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 662, 14.00%, see rank | 14.03% | 12.19% |
| Public Transportation | 6, 0.13%, see rank | 0.91% | 4.73% |
| Walked | 22, 0.47%, see rank | 1.93% | 2.93% |
| Other Means | 33, 0.70%, see rank | 1.07% | 1.19% |
| Worked at Home | 94, 1.99%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 27596 Zip Code | 34.8 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.
