Urbanna, VA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Urbanna, VA | Virginia | U.S. |
Occupied Housing Units | 244, 100% | 3,041,710 | 116,211,092 |
No Vehicles Available | 18, 7.38%, see rank | 6.38% | 9.12% |
1 Vehicles Available | 90, 36.89%, see rank | 30.54% | 33.80% |
2 Vehicles Available | 80, 32.79%, see rank | 38.24% | 37.48% |
3 or More Vehicles Available | 56, 22.95%, see rank | 24.84% | 19.61% |
ACS 2008-2012 data
| Urbanna, VA | Virginia | U.S. |
Occupied Housing Units | 251, 100% | 3,006,219 | 115,226,802 |
No Vehicles Available | 15, 5.98%, see rank | 6.31% | 9.03% |
1 Vehicles Available | 73, 29.08%, see rank | 30.35% | 33.67% |
2 Vehicles Available | 98, 39.04%, see rank | 38.32% | 37.64% |
3 or More Vehicles Available | 65, 25.90%, see rank | 25.03% | 19.66% |
ACS 2006-2010 data
| Urbanna, VA | Virginia | U.S. |
Occupied Housing Units | 287, 100% | 2,974,481 | 114,235,996 |
No Vehicles Available | 17, 5.92%, see rank | 6.26% | 8.85% |
1 Vehicles Available | 73, 25.44%, see rank | 30.28% | 33.28% |
2 Vehicles Available | 112, 39.02%, see rank | 38.24% | 37.87% |
3 or More Vehicles Available | 85, 29.62%, see rank | 25.22% | 20.00% |
ACS 2005-2009 data
| Urbanna, VA | Virginia | U.S. |
Occupied Housing Units | 291, 100% | 2,936,634 | 112,611,029 |
No Vehicles Available | 19, 6.53%, see rank | 6.27% | 8.80% |
1 Vehicles Available | 92, 31.62%, see rank | 30.20% | 33.21% |
2 Vehicles Available | 110, 37.80%, see rank | 38.21% | 37.98% |
3 or More Vehicles Available | 70, 24.05%, see rank | 25.32% | 20.01% |
US Census 2000 data
| Urbanna, VA | Virginia | U.S. |
Occupied Housing Units | 265, 100% | 2,699,173 | 105,480,101 |
No Vehicles Available | 12, 4.53%, see rank | 7.65% | 10.30% |
1 Vehicles Available | 105, 39.62%, see rank | 31.61% | 34.25% |
2 Vehicles Available | 99, 37.36%, see rank | 39.57% | 38.36% |
3 or More Vehicles Available | 49, 18.49%, see rank | 21.17% | 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.