20855 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20855 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 6,998, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,808, 68.71%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 841, 12.02%, see rank | 9.81% | 9.59% |
| Public Transportation | 793, 11.33%, see rank | 8.93% | 5.06% |
| Walked | 19, 0.27%, see rank | 2.34% | 2.78% |
| Other Means | 42, 0.60%, see rank | 1.18% | 1.79% |
| Worked at Home | 495, 7.07%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20855 Zip Code | 36.1 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20855 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 7,467, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,175, 69.30%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 827, 11.08%, see rank | 10.41% | 10.03% |
| Public Transportation | 810, 10.85%, see rank | 8.83% | 4.98% |
| Walked | 40, 0.54%, see rank | 2.36% | 2.82% |
| Other Means | 36, 0.48%, see rank | 1.15% | 1.76% |
| Worked at Home | 579, 7.75%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20855 Zip Code | 35.8 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20855 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 8,676, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,051, 69.74%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 770, 8.88%, see rank | 12.39% | 12.19% |
| Public Transportation | 1,198, 13.81%, see rank | 7.22% | 4.73% |
| Walked | 88, 1.01%, see rank | 2.50% | 2.93% |
| Other Means | 55, 0.63%, see rank | 0.81% | 1.19% |
| Worked at Home | 514, 5.92%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20855 Zip Code | 34.7 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.
