20011 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| 20011 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 32,050, 100% | 323,242 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 14,417, 44.98%, see rank | 33.98% | 76.41% |
Car, Truck, or Van—Carpooled | 2,086, 6.51%, see rank | 5.83% | 9.59% |
Public Transportation | 12,832, 40.04%, see rank | 38.04% | 5.06% |
Walked | 650, 2.03%, see rank | 12.38% | 2.78% |
Other Means | 1,179, 3.68%, see rank | 5.04% | 1.79% |
Worked at Home | 886, 2.76%, see rank | 4.74% | 4.37% |
Mean Travel Time to Work, see rank20011 Zip Code | 34.5 minutes |
District of Columbia | 30.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| 20011 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 28,054, 100% | 306,336 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 12,310, 43.88%, see rank | 34.73% | 76.14% |
Car, Truck, or Van—Carpooled | 2,138, 7.62%, see rank | 6.24% | 10.03% |
Public Transportation | 11,306, 40.30%, see rank | 37.80% | 4.98% |
Walked | 600, 2.14%, see rank | 12.10% | 2.82% |
Other Means | 842, 3.00%, see rank | 4.26% | 1.76% |
Worked at Home | 858, 3.06%, see rank | 4.88% | 4.27% |
Mean Travel Time to Work, see rank20011 Zip Code | 34.7 minutes |
District of Columbia | 30.3 minutes |
U.S. | 25.4 minutes |
US Census 2000 data
| 20011 Zip Code | District of Columbia | U.S. |
Workers 16 Years and Over | 24,572, 100% | 260,884 | 128,279,228 |
Car, Truck, or Van—Drove Alone | 11,972, 48.72%, see rank | 38.40% | 75.70% |
Car, Truck, or Van—Carpooled | 3,555, 14.47%, see rank | 10.97% | 12.19% |
Public Transportation | 7,795, 31.72%, see rank | 33.15% | 4.73% |
Walked | 592, 2.41%, see rank | 11.80% | 2.93% |
Other Means | 200, 0.81%, see rank | 1.88% | 1.19% |
Worked at Home | 458, 1.86%, see rank | 3.81% | 3.26% |
Mean Travel Time to Work, see rank20011 Zip Code | 34.6 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.