20685 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20685 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 3,302, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,719, 82.34%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 336, 10.18%, see rank | 9.81% | 9.59% |
| Public Transportation | 70, 2.12%, see rank | 8.93% | 5.06% |
| Walked | 21, 0.64%, see rank | 2.34% | 2.78% |
| Other Means | 19, 0.58%, see rank | 1.18% | 1.79% |
| Worked at Home | 137, 4.15%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20685 Zip Code | 41.8 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20685 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 3,607, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,927, 81.15%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 528, 14.64%, see rank | 10.41% | 10.03% |
| Public Transportation | 36, 1.00%, see rank | 8.83% | 4.98% |
| Walked | 23, 0.64%, see rank | 2.36% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.15% | 1.76% |
| Worked at Home | 93, 2.58%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20685 Zip Code | 40.4 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20685 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 2,907, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,361, 81.22%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 400, 13.76%, see rank | 12.39% | 12.19% |
| Public Transportation | 21, 0.72%, see rank | 7.22% | 4.73% |
| Walked | 0, 0.00%, see rank | 2.50% | 2.93% |
| Other Means | 22, 0.76%, see rank | 0.81% | 1.19% |
| Worked at Home | 103, 3.54%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20685 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.
