Fruitland, NC Historical Commuting to Work Data
ACS 2010-2014 data
| | Fruitland, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 1,024, 100% | 4,280,414 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 750, 73.24%, see rank | 81.16% | 76.41% |
| Car, Truck, or Van—Carpooled | 147, 14.36%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.12% | 5.06% |
| Walked | 50, 4.88%, see rank | 1.78% | 2.78% |
| Other Means | 20, 1.95%, see rank | 1.31% | 1.79% |
| Worked at Home | 57, 5.57%, see rank | 4.48% | 4.37% |
Mean Travel Time to Work, see rank| Fruitland, NC | 25.9 minutes |
| North Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Fruitland, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 757, 100% | 4,237,689 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 498, 65.79%, see rank | 80.88% | 76.14% |
| Car, Truck, or Van—Carpooled | 170, 22.46%, see rank | 10.70% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.09% | 4.98% |
| Walked | 55, 7.27%, see rank | 1.79% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.28% | 1.76% |
| Worked at Home | 34, 4.49%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rank| Fruitland, NC | 26.7 minutes |
| North Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Fruitland, NC | North Carolina | U.S. |
| Workers 16 Years and Over | 679, 100% | 4,205,946 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 494, 72.75%, see rank | 80.50% | 76.00% |
| Car, Truck, or Van—Carpooled | 75, 11.05%, see rank | 11.44% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 1.02% | 4.94% |
| Walked | 46, 6.77%, see rank | 1.79% | 2.85% |
| Other Means | 20, 2.95%, see rank | 1.31% | 1.72% |
| Worked at Home | 44, 6.48%, see rank | 3.94% | 4.14% |
Mean Travel Time to Work, see rank| Fruitland, NC | 26.2 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.
