20712 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20712 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 5,114, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,450, 47.91%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 573, 11.20%, see rank | 9.81% | 9.59% |
| Public Transportation | 1,717, 33.57%, see rank | 8.93% | 5.06% |
| Walked | 124, 2.42%, see rank | 2.34% | 2.78% |
| Other Means | 101, 1.97%, see rank | 1.18% | 1.79% |
| Worked at Home | 149, 2.91%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20712 Zip Code | 37.9 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20712 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 5,201, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,655, 51.05%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 592, 11.38%, see rank | 10.41% | 10.03% |
| Public Transportation | 1,618, 31.11%, see rank | 8.83% | 4.98% |
| Walked | 157, 3.02%, see rank | 2.36% | 2.82% |
| Other Means | 82, 1.58%, see rank | 1.15% | 1.76% |
| Worked at Home | 97, 1.87%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20712 Zip Code | 35.8 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20712 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 4,369, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,173, 49.74%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 615, 14.08%, see rank | 12.39% | 12.19% |
| Public Transportation | 1,315, 30.10%, see rank | 7.22% | 4.73% |
| Walked | 208, 4.76%, see rank | 2.50% | 2.93% |
| Other Means | 41, 0.94%, see rank | 0.81% | 1.19% |
| Worked at Home | 17, 0.39%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20712 Zip Code | 35.3 minutes |
| Maryland | 31.2 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.
