28017 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 28017 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 181, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 26, 14.36%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 4, 2.21%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 127, 70.17%, see rank | 1.78% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.31% | 1.79% |
| Worked at Home | 24, 13.26%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| 28017 Zip Code | 9.6 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 28017 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 | 30, 15.08%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 150, 75.38%, see rank | 1.79% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.28% | 1.76% |
| Worked at Home | 19, 9.55%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| 28017 Zip Code | 6.7 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 28017 Zip Code | North Carolina | U.S. |
| Workers 16 Years and Over | 830, 100% | 3,837,773 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 529, 63.73%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 69, 8.31%, see rank | 14.03% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.91% | 4.73% |
| Walked | 191, 23.01%, see rank | 1.93% | 2.93% |
| Other Means | 33, 3.98%, see rank | 1.07% | 1.19% |
| Worked at Home | 8, 0.96%, see rank | 2.68% | 3.26% |
Mean Travel Time to Work, see rank| 28017 Zip Code | 14.8 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.
