Summerfield, MD Historical Commuting to Work Data
ACS 2010-2014 data
| | Summerfield, MD | Maryland | U.S. |
| Workers 16 Years and Over | 5,950, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,920, 65.88%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 340, 5.71%, see rank | 9.81% | 9.59% |
| Public Transportation | 1,547, 26.00%, see rank | 8.93% | 5.06% |
| Walked | 29, 0.49%, see rank | 2.34% | 2.78% |
| Other Means | 50, 0.84%, see rank | 1.18% | 1.79% |
| Worked at Home | 64, 1.08%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| Summerfield, MD | 36.8 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Summerfield, MD | Maryland | U.S. |
| Workers 16 Years and Over | 6,206, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,124, 66.45%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 308, 4.96%, see rank | 10.41% | 10.03% |
| Public Transportation | 1,579, 25.44%, see rank | 8.83% | 4.98% |
| Walked | 58, 0.93%, see rank | 2.36% | 2.82% |
| Other Means | 14, 0.23%, see rank | 1.15% | 1.76% |
| Worked at Home | 123, 1.98%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| Summerfield, MD | 35.6 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Summerfield, MD | Maryland | U.S. |
| Workers 16 Years and Over | 5,558, 100% | 2,855,936 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 3,796, 68.30%, see rank | 73.17% | 76.00% |
| Car, Truck, or Van—Carpooled | 500, 9.00%, see rank | 10.61% | 10.35% |
| Public Transportation | 1,074, 19.32%, see rank | 8.70% | 4.94% |
| Walked | 88, 1.58%, see rank | 2.50% | 2.85% |
| Other Means | 10, 0.18%, see rank | 1.16% | 1.72% |
| Worked at Home | 90, 1.62%, see rank | 3.87% | 4.14% |
Mean Travel Time to Work, see rank| Summerfield, MD | 33.8 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.
