20874 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20874 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 32,243, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 23,680, 73.44%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 3,462, 10.74%, see rank | 9.81% | 9.59% |
| Public Transportation | 3,369, 10.45%, see rank | 8.93% | 5.06% |
| Walked | 303, 0.94%, see rank | 2.34% | 2.78% |
| Other Means | 189, 0.59%, see rank | 1.18% | 1.79% |
| Worked at Home | 1,240, 3.85%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20874 Zip Code | 36.5 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20874 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 33,183, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 23,855, 71.89%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,974, 11.98%, see rank | 10.41% | 10.03% |
| Public Transportation | 3,782, 11.40%, see rank | 8.83% | 4.98% |
| Walked | 274, 0.83%, see rank | 2.36% | 2.82% |
| Other Means | 263, 0.79%, see rank | 1.15% | 1.76% |
| Worked at Home | 1,035, 3.12%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20874 Zip Code | 36.1 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20874 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 28,728, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 21,896, 76.22%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,542, 12.33%, see rank | 12.39% | 12.19% |
| Public Transportation | 1,833, 6.38%, see rank | 7.22% | 4.73% |
| Walked | 329, 1.15%, see rank | 2.50% | 2.93% |
| Other Means | 210, 0.73%, see rank | 0.81% | 1.19% |
| Worked at Home | 918, 3.20%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20874 Zip Code | 34.9 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.
