20018 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| 20018 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 7,280, 100% | 323,242 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 3,634, 49.92%, see rank | 33.98% | 76.41% |
Car, Truck, or Van—Carpooled | 482, 6.62%, see rank | 5.83% | 9.59% |
Public Transportation | 2,719, 37.35%, see rank | 38.04% | 5.06% |
Walked | 202, 2.77%, see rank | 12.38% | 2.78% |
Other Means | 63, 0.87%, see rank | 5.04% | 1.79% |
Worked at Home | 180, 2.47%, see rank | 4.74% | 4.37% |
Mean Travel Time to Work, see rank20018 Zip Code | 34.3 minutes |
District of Columbia | 30.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| 20018 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 6,966, 100% | 306,336 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 3,464, 49.73%, see rank | 34.73% | 76.14% |
Car, Truck, or Van—Carpooled | 651, 9.35%, see rank | 6.24% | 10.03% |
Public Transportation | 2,391, 34.32%, see rank | 37.80% | 4.98% |
Walked | 306, 4.39%, see rank | 12.10% | 2.82% |
Other Means | 80, 1.15%, see rank | 4.26% | 1.76% |
Worked at Home | 74, 1.06%, see rank | 4.88% | 4.27% |
Mean Travel Time to Work, see rank20018 Zip Code | 32.4 minutes |
District of Columbia | 30.3 minutes |
U.S. | 25.4 minutes |
US Census 2000 data
| 20018 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 6,235, 100% | 260,884 | 128,279,228 |
Car, Truck, or Van—Drove Alone | 3,304, 52.99%, see rank | 38.40% | 75.70% |
Car, Truck, or Van—Carpooled | 926, 14.85%, see rank | 10.97% | 12.19% |
Public Transportation | 1,758, 28.20%, see rank | 33.15% | 4.73% |
Walked | 73, 1.17%, see rank | 11.80% | 2.93% |
Other Means | 46, 0.74%, see rank | 1.88% | 1.19% |
Worked at Home | 128, 2.05%, see rank | 3.81% | 3.26% |
Mean Travel Time to Work, see rank20018 Zip Code | 30.8 minutes |
District of Columbia | 29.7 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.