21009 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 21009 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 16,002, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,593, 84.95%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,452, 9.07%, see rank | 9.81% | 9.59% |
| Public Transportation | 317, 1.98%, see rank | 8.93% | 5.06% |
| Walked | 93, 0.58%, see rank | 2.34% | 2.78% |
| Other Means | 39, 0.24%, see rank | 1.18% | 1.79% |
| Worked at Home | 508, 3.17%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 21009 Zip Code | 33.4 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 21009 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 16,205, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,019, 86.51%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,371, 8.46%, see rank | 10.41% | 10.03% |
| Public Transportation | 264, 1.63%, see rank | 8.83% | 4.98% |
| Walked | 106, 0.65%, see rank | 2.36% | 2.82% |
| Other Means | 17, 0.10%, see rank | 1.15% | 1.76% |
| Worked at Home | 428, 2.64%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 21009 Zip Code | 32.7 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 21009 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 13,007, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,294, 86.83%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,043, 8.02%, see rank | 12.39% | 12.19% |
| Public Transportation | 194, 1.49%, see rank | 7.22% | 4.73% |
| Walked | 43, 0.33%, see rank | 2.50% | 2.93% |
| Other Means | 118, 0.91%, see rank | 0.81% | 1.19% |
| Worked at Home | 315, 2.42%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 21009 Zip Code | 34.0 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.
