20817 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20817 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 17,468, 100% | 2,913,869 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,708, 67.03%, see rank | 73.56% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,285, 7.36%, see rank | 9.81% | 9.59% |
| Public Transportation | 1,926, 11.03%, see rank | 8.93% | 5.06% |
| Walked | 484, 2.77%, see rank | 2.34% | 2.78% |
| Other Means | 379, 2.17%, see rank | 1.18% | 1.79% |
| Worked at Home | 1,686, 9.65%, see rank | 4.19% | 4.37% |
Mean Travel Time to Work, see rank| 20817 Zip Code | 30.3 minutes |
| Maryland | 32.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20817 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 17,675, 100% | 2,889,278 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,710, 66.25%, see rank | 73.18% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,406, 7.95%, see rank | 10.41% | 10.03% |
| Public Transportation | 1,767, 10.00%, see rank | 8.83% | 4.98% |
| Walked | 402, 2.27%, see rank | 2.36% | 2.82% |
| Other Means | 375, 2.12%, see rank | 1.15% | 1.76% |
| Worked at Home | 2,015, 11.40%, see rank | 4.07% | 4.27% |
Mean Travel Time to Work, see rank| 20817 Zip Code | 30.2 minutes |
| Maryland | 32.4 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20817 Zip Code | Maryland | U.S. |
| Workers 16 Years and Over | 17,531, 100% | 2,591,670 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,889, 67.82%, see rank | 73.73% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,613, 9.20%, see rank | 12.39% | 12.19% |
| Public Transportation | 1,680, 9.58%, see rank | 7.22% | 4.73% |
| Walked | 285, 1.63%, see rank | 2.50% | 2.93% |
| Other Means | 263, 1.50%, see rank | 0.81% | 1.19% |
| Worked at Home | 1,801, 10.27%, see rank | 3.35% | 3.26% |
Mean Travel Time to Work, see rank| 20817 Zip Code | 29.2 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.
