District of Columbia Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| | District of Columbia | % | U.S. |
| Occupied Housing Units | 267,415 | 100% | 116,211,092 |
| No Vehicles Available | 96,855 | 36.22%, see rank | 9.12% |
| 1 Vehicles Available | 118,803 | 44.43%, see rank | 33.80% |
| 2 Vehicles Available | 41,487 | 15.51%, see rank | 37.48% |
| 3 or More Vehicles Available | 10,270 | 3.84%, see rank | 19.61% |
ACS 2008-2012 data
| | District of Columbia | % | U.S. |
| Occupied Housing Units | 261,192 | 100% | 115,226,802 |
| No Vehicles Available | 95,206 | 36.45%, see rank | 9.03% |
| 1 Vehicles Available | 116,302 | 44.53%, see rank | 33.67% |
| 2 Vehicles Available | 39,654 | 15.18%, see rank | 37.64% |
| 3 or More Vehicles Available | 10,030 | 3.84%, see rank | 19.66% |
ACS 2006-2010 data
| | District of Columbia | % | U.S. |
| Occupied Housing Units | 257,317 | 100% | 114,235,996 |
| No Vehicles Available | 91,935 | 35.73%, see rank | 8.85% |
| 1 Vehicles Available | 113,182 | 43.99%, see rank | 33.28% |
| 2 Vehicles Available | 41,968 | 16.31%, see rank | 37.87% |
| 3 or More Vehicles Available | 10,232 | 3.98%, see rank | 20.00% |
ACS 2005-2009 data
| | District of Columbia | % | U.S. |
| Occupied Housing Units | 250,723 | 100% | 112,611,029 |
| No Vehicles Available | 89,049 | 35.52%, see rank | 8.80% |
| 1 Vehicles Available | 109,518 | 43.68%, see rank | 33.21% |
| 2 Vehicles Available | 41,887 | 16.71%, see rank | 37.98% |
| 3 or More Vehicles Available | 10,269 | 4.10%, see rank | 20.01% |
US Census 2000 data
| | District of Columbia | % | U.S. |
| Occupied Housing Units | 248,338 | 100% | 105,480,101 |
| No Vehicles Available | 91,699 | 36.93%, see rank | 10.30% |
| 1 Vehicles Available | 108,151 | 43.55%, see rank | 34.25% |
| 2 Vehicles Available | 38,395 | 15.46%, see rank | 38.36% |
| 3 or More Vehicles Available | 10,093 | 4.06%, see rank | 17.10% |
* 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.
