29474 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 29474 Zip Code | South Carolina | U.S. |
| Workers 16 Years and Over | 889, 100% | 2,022,019 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 684, 76.94%, see rank | 82.69% | 76.41% |
| Car, Truck, or Van—Carpooled | 164, 18.45%, see rank | 9.32% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.61% | 5.06% |
| Walked | 21, 2.36%, see rank | 2.10% | 2.78% |
| Other Means | 8, 0.90%, see rank | 1.66% | 1.79% |
| Worked at Home | 12, 1.35%, see rank | 3.61% | 4.37% |
Mean Travel Time to Work, see rank| 29474 Zip Code | 42.8 minutes |
| South Carolina | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 29474 Zip Code | South Carolina | U.S. |
| Workers 16 Years and Over | 855, 100% | 1,988,444 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 711, 83.16%, see rank | 82.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 92, 10.76%, see rank | 9.91% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.60% | 4.98% |
| Walked | 24, 2.81%, see rank | 2.03% | 2.82% |
| Other Means | 4, 0.47%, see rank | 1.62% | 1.76% |
| Worked at Home | 24, 2.81%, see rank | 3.65% | 4.27% |
Mean Travel Time to Work, see rank| 29474 Zip Code | 49.6 minutes |
| South Carolina | 23.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 29474 Zip Code | South Carolina | U.S. |
| Workers 16 Years and Over | 570, 100% | 1,822,969 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 449, 78.77%, see rank | 79.39% | 75.70% |
| Car, Truck, or Van—Carpooled | 100, 17.54%, see rank | 14.04% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.85% | 4.73% |
| Walked | 8, 1.40%, see rank | 2.34% | 2.93% |
| Other Means | 7, 1.23%, see rank | 1.29% | 1.19% |
| Worked at Home | 6, 1.05%, see rank | 2.10% | 3.26% |
Mean Travel Time to Work, see rank| 29474 Zip Code | 32.2 minutes |
| South Carolina | 23.5 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.
