Swanquarter, NC Historical Commuting to Work Data
ACS 2010-2014 data
| | Swanquarter, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 147, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 72, 48.98%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 13, 8.84%, see rank | 1.78% | 2.78% |
| Other Means | 62, 42.18%, 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| Swanquarter, NC | 9.1 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Swanquarter, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 184, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 107, 58.15%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 25, 13.59%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 21, 11.41%, see rank | 1.79% | 2.82% |
| Other Means | 31, 16.85%, 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| Swanquarter, NC | 23.7 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Swanquarter, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 248, 100% | 4,205,946 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 209, 84.27%, see rank | 80.50% | 76.00% |
| Car, Truck, or Van—Carpooled | 17, 6.85%, see rank | 11.44% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 1.02% | 4.94% |
| Walked | 22, 8.87%, see rank | 1.79% | 2.85% |
| Other Means | 0, 0.00%, see rank | 1.31% | 1.72% |
| Worked at Home | 0, 0.00%, see rank | 3.94% | 4.14% |
Mean Travel Time to Work, see rank| Swanquarter, NC | 15.1 minutes |
| North Carolina | 23.1 minutes |
| U.S. | 25.3 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.
