20833 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20833 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 4,318, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,186, 73.78%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 443, 10.26%, see rank | 9.81% | 9.59% |
| Public Transportation | 223, 5.16%, see rank | 8.93% | 5.06% |
| Walked | 32, 0.74%, see rank | 2.34% | 2.78% |
| Other Means | 18, 0.42%, see rank | 1.18% | 1.79% |
| Worked at Home | 416, 9.63%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20833 Zip Code | 37.0 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20833 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 3,973, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,940, 74.00%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 420, 10.57%, see rank | 10.41% | 10.03% |
| Public Transportation | 231, 5.81%, see rank | 8.83% | 4.98% |
| Walked | 10, 0.25%, see rank | 2.36% | 2.82% |
| Other Means | 24, 0.60%, see rank | 1.15% | 1.76% |
| Worked at Home | 348, 8.76%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20833 Zip Code | 38.0 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20833 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 3,331, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,803, 84.15%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 299, 8.98%, see rank | 12.39% | 12.19% |
| Public Transportation | 76, 2.28%, see rank | 7.22% | 4.73% |
| Walked | 36, 1.08%, see rank | 2.50% | 2.93% |
| Other Means | 14, 0.42%, see rank | 0.81% | 1.19% |
| Worked at Home | 103, 3.09%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20833 Zip Code | 37.4 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.
