Cross Anchor, SC Historical Commuting to Work Data
ACS 2010-2014 data
| | Cross Anchor, SC | South Carolina | U.S. |
| Workers 16 Years and Over | 78, 100% | 2,022,019 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 78, 100.00%, see rank | 82.69% | 76.41% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 9.32% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.61% | 5.06% |
| Walked | 0, 0.00%, see rank | 2.10% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.66% | 1.79% |
| Worked at Home | 0, 0.00%, see rank | 3.61% | 4.37% |
Mean Travel Time to Work, see rank| Cross Anchor, SC | 23.7 minutes |
| South Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Cross Anchor, SC | South Carolina | U.S. |
| Workers 16 Years and Over | 45, 100% | 1,988,444 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 45, 100.00%, see rank | 82.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 9.91% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.60% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.03% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.62% | 1.76% |
| Worked at Home | 0, 0.00%, see rank | 3.65% | 4.27% |
Mean Travel Time to Work, see rank| Cross Anchor, SC | 29.3 minutes |
| South Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Cross Anchor, SC | South Carolina | U.S. |
| Workers 16 Years and Over | 66, 100% | 1,989,319 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 66, 100.00%, see rank | 81.57% | 76.00% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 10.57% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 0.64% | 4.94% |
| Walked | 0, 0.00%, see rank | 1.86% | 2.85% |
| Other Means | 0, 0.00%, see rank | 1.59% | 1.72% |
| Worked at Home | 0, 0.00%, see rank | 3.77% | 4.14% |
Mean Travel Time to Work, see rank| Cross Anchor, SC | 22.1 minutes |
| South Carolina | 23.0 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.
