20319 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 20319 Zip Code | District of Columbia | U.S. |
| Workers 16 Years and Over | 89, 100% | 323,242 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 0, 0.00%, see rank | 33.98% | 76.41% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 5.83% | 9.59% |
| Public Transportation | 4, 4.49%, see rank | 38.04% | 5.06% |
| Walked | 41, 46.07%, see rank | 12.38% | 2.78% |
| Other Means | 0, 0.00%, see rank | 5.04% | 1.79% |
| Worked at Home | 44, 49.44%, see rank | 4.74% | 4.37% |
Mean Travel Time to Work, see rank| 20319 Zip Code | 5.0 minutes |
| District of Columbia | 30.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 20319 Zip Code | District of Columbia | U.S. |
| Workers 16 Years and Over | 101, 100% | 306,336 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9, 8.91%, see rank | 34.73% | 76.14% |
| Car, Truck, or Van—Carpooled | 0, 0.00%, see rank | 6.24% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 37.80% | 4.98% |
| Walked | 31, 30.69%, see rank | 12.10% | 2.82% |
| Other Means | 0, 0.00%, see rank | 4.26% | 1.76% |
| Worked at Home | 61, 60.40%, see rank | 4.88% | 4.27% |
Mean Travel Time to Work, see rank| 20319 Zip Code | 6.4 minutes |
| District of Columbia | 30.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 20319 Zip Code | District of Columbia | U.S. |
| Workers 16 Years and Over | 45, 100% | 260,884 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 35, 77.78%, see rank | 38.40% | 75.70% |
| Car, Truck, or Van—Carpooled | 10, 22.22%, see rank | 10.97% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 33.15% | 4.73% |
| Walked | 0, 0.00%, see rank | 11.80% | 2.93% |
| Other Means | 0, 0.00%, see rank | 1.88% | 1.19% |
| Worked at Home | 0, 0.00%, see rank | 3.81% | 3.26% |
Mean Travel Time to Work, see rank| 20319 Zip Code | 15.8 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.
