20008 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| 20008 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 18,938, 100% | 323,242 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 5,298, 27.98%, see rank | 33.98% | 76.41% |
Car, Truck, or Van—Carpooled | 945, 4.99%, see rank | 5.83% | 9.59% |
Public Transportation | 9,449, 49.89%, see rank | 38.04% | 5.06% |
Walked | 1,625, 8.58%, see rank | 12.38% | 2.78% |
Other Means | 501, 2.65%, see rank | 5.04% | 1.79% |
Worked at Home | 1,120, 5.91%, see rank | 4.74% | 4.37% |
Mean Travel Time to Work, see rank20008 Zip Code | 28.5 minutes |
District of Columbia | 30.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| 20008 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 18,361, 100% | 306,336 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 4,703, 25.61%, see rank | 34.73% | 76.14% |
Car, Truck, or Van—Carpooled | 837, 4.56%, see rank | 6.24% | 10.03% |
Public Transportation | 9,318, 50.75%, see rank | 37.80% | 4.98% |
Walked | 1,762, 9.60%, see rank | 12.10% | 2.82% |
Other Means | 557, 3.03%, see rank | 4.26% | 1.76% |
Worked at Home | 1,184, 6.45%, see rank | 4.88% | 4.27% |
Mean Travel Time to Work, see rank20008 Zip Code | 27.8 minutes |
District of Columbia | 30.3 minutes |
U.S. | 25.4 minutes |
US Census 2000 data
| 20008 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 18,228, 100% | 260,884 | 128,279,228 |
Car, Truck, or Van—Drove Alone | 6,222, 34.13%, see rank | 38.40% | 75.70% |
Car, Truck, or Van—Carpooled | 1,139, 6.25%, see rank | 10.97% | 12.19% |
Public Transportation | 7,973, 43.74%, see rank | 33.15% | 4.73% |
Walked | 1,460, 8.01%, see rank | 11.80% | 2.93% |
Other Means | 245, 1.34%, see rank | 1.88% | 1.19% |
Worked at Home | 1,189, 6.52%, see rank | 3.81% | 3.26% |
Mean Travel Time to Work, see rank20008 Zip Code | 26.1 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.