Seabrook, MD Historical Commuting to Work Data
ACS 2010-2014 data
| | Seabrook, MD | Maryland | U.S. |
| Workers 16 Years and Over | 8,471, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,137, 72.45%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 892, 10.53%, see rank | 9.81% | 9.59% |
| Public Transportation | 1,048, 12.37%, see rank | 8.93% | 5.06% |
| Walked | 124, 1.46%, see rank | 2.34% | 2.78% |
| Other Means | 114, 1.35%, see rank | 1.18% | 1.79% |
| Worked at Home | 156, 1.84%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| Seabrook, MD | 36.1 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Seabrook, MD | Maryland | U.S. |
| Workers 16 Years and Over | 8,128, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,821, 71.62%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 746, 9.18%, see rank | 10.41% | 10.03% |
| Public Transportation | 1,129, 13.89%, see rank | 8.83% | 4.98% |
| Walked | 151, 1.86%, see rank | 2.36% | 2.82% |
| Other Means | 64, 0.79%, see rank | 1.15% | 1.76% |
| Worked at Home | 217, 2.67%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| Seabrook, MD | 35.5 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Seabrook, MD | Maryland | U.S. |
| Workers 16 Years and Over | 7,892, 100% | 2,855,936 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 5,580, 70.70%, see rank | 73.17% | 76.00% |
| Car, Truck, or Van—Carpooled | 894, 11.33%, see rank | 10.61% | 10.35% |
| Public Transportation | 991, 12.56%, see rank | 8.70% | 4.94% |
| Walked | 203, 2.57%, see rank | 2.50% | 2.85% |
| Other Means | 14, 0.18%, see rank | 1.16% | 1.72% |
| Worked at Home | 210, 2.66%, see rank | 3.87% | 4.14% |
Mean Travel Time to Work, see rank| Seabrook, MD | 34.4 minutes |
| Maryland | 31.9 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.
