21015 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 21015 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 14,359, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,956, 83.26%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,121, 7.81%, see rank | 9.81% | 9.59% |
| Public Transportation | 236, 1.64%, see rank | 8.93% | 5.06% |
| Walked | 209, 1.46%, see rank | 2.34% | 2.78% |
| Other Means | 126, 0.88%, see rank | 1.18% | 1.79% |
| Worked at Home | 711, 4.95%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 21015 Zip Code | 31.7 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 21015 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 14,255, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,742, 82.37%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,243, 8.72%, see rank | 10.41% | 10.03% |
| Public Transportation | 201, 1.41%, see rank | 8.83% | 4.98% |
| Walked | 313, 2.20%, see rank | 2.36% | 2.82% |
| Other Means | 124, 0.87%, see rank | 1.15% | 1.76% |
| Worked at Home | 632, 4.43%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 21015 Zip Code | 31.8 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 21015 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 12,883, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,070, 85.93%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 986, 7.65%, see rank | 12.39% | 12.19% |
| Public Transportation | 84, 0.65%, see rank | 7.22% | 4.73% |
| Walked | 144, 1.12%, see rank | 2.50% | 2.93% |
| Other Means | 72, 0.56%, see rank | 0.81% | 1.19% |
| Worked at Home | 527, 4.09%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 21015 Zip Code | 31.4 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.
