Lincolnton Micro Area Historical Commuting to Work Data
ACS 2008-2012 data
| Lincolnton Area | North Carolina | U.S. |
Workers 16 Years and Over | 34,837, 100% | 4,237,689 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 29,222, 83.88%, see rank | 80.88% | 76.14% |
Car, Truck, or Van—Carpooled | 3,626, 10.41%, see rank | 10.70% | 10.03% |
Public Transportation | 105, 0.30%, see rank | 1.09% | 4.98% |
Walked | 270, 0.78%, see rank | 1.79% | 2.82% |
Other Means | 328, 0.94%, see rank | 1.28% | 1.76% |
Worked at Home | 1,286, 3.69%, see rank | 4.26% | 4.27% |
Mean Travel Time to Work, see rankLincolnton Area | 29.3 minutes |
North Carolina | 23.2 minutes |
U.S. | 25.4 minutes |
ACS 2006-2010 data
| Lincolnton Area | North Carolina | U.S. |
Workers 16 Years and Over | 33,923, 100% | 4,205,946 | 139,255,035 |
Car, Truck, or Van—Drove Alone | 28,458, 83.89%, see rank | 80.50% | 76.00% |
Car, Truck, or Van—Carpooled | 3,725, 10.98%, see rank | 11.44% | 10.35% |
Public Transportation | 94, 0.28%, see rank | 1.02% | 4.94% |
Walked | 246, 0.73%, see rank | 1.79% | 2.85% |
Other Means | 379, 1.12%, see rank | 1.31% | 1.72% |
Worked at Home | 1,021, 3.01%, see rank | 3.94% | 4.14% |
Mean Travel Time to Work, see rankLincolnton Area | 29.4 minutes |
North Carolina | 23.1 minutes |
U.S. | 25.3 minutes |
ACS 2005-2009 data
| Lincolnton Area | North Carolina | U.S. |
Workers 16 Years and Over | 32,649, 100% | 4,145,113 | 138,541,405 |
Car, Truck, or Van—Drove Alone | 27,503, 84.24%, see rank | 80.16% | 75.92% |
Car, Truck, or Van—Carpooled | 3,388, 10.38%, see rank | 11.67% | 10.52% |
Public Transportation | 87, 0.27%, see rank | 1.00% | 4.95% |
Walked | 360, 1.10%, see rank | 1.84% | 2.86% |
Other Means | 410, 1.26%, see rank | 1.34% | 1.72% |
Worked at Home | 901, 2.76%, see rank | 3.98% | 4.02% |
Mean Travel Time to Work, see rankLincolnton Area | 28.7 minutes |
North Carolina | 23.0 minutes |
U.S. | 25.2 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.