Oxford, GA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Oxford, GA | Georgia | U.S. |
Occupied Housing Units | 656, 100% | 3,540,690 | 116,211,092 |
No Vehicles Available | 29, 4.42%, see rank | 6.87% | 9.12% |
1 Vehicles Available | 272, 41.46%, see rank | 34.11% | 33.80% |
2 Vehicles Available | 245, 37.35%, see rank | 38.56% | 37.48% |
3 or More Vehicles Available | 110, 16.77%, see rank | 20.46% | 19.61% |
ACS 2008-2012 data
| Oxford, GA | Georgia | U.S. |
Occupied Housing Units | 620, 100% | 3,508,477 | 115,226,802 |
No Vehicles Available | 34, 5.48%, see rank | 6.74% | 9.03% |
1 Vehicles Available | 220, 35.48%, see rank | 33.90% | 33.67% |
2 Vehicles Available | 230, 37.10%, see rank | 38.72% | 37.64% |
3 or More Vehicles Available | 136, 21.94%, see rank | 20.64% | 19.66% |
ACS 2006-2010 data
| Oxford, GA | Georgia | U.S. |
Occupied Housing Units | 570, 100% | 3,468,704 | 114,235,996 |
No Vehicles Available | 39, 6.84%, see rank | 6.71% | 8.85% |
1 Vehicles Available | 190, 33.33%, see rank | 33.19% | 33.28% |
2 Vehicles Available | 211, 37.02%, see rank | 38.86% | 37.87% |
3 or More Vehicles Available | 130, 22.81%, see rank | 21.24% | 20.00% |
ACS 2005-2009 data
| Oxford, GA | Georgia | U.S. |
Occupied Housing Units | 557, 100% | 3,417,298 | 112,611,029 |
No Vehicles Available | 33, 5.92%, see rank | 6.70% | 8.80% |
1 Vehicles Available | 240, 43.09%, see rank | 33.09% | 33.21% |
2 Vehicles Available | 186, 33.39%, see rank | 38.84% | 37.98% |
3 or More Vehicles Available | 98, 17.59%, see rank | 21.37% | 20.01% |
US Census 2000 data
| Oxford, GA | Georgia | U.S. |
Occupied Housing Units | 521, 100% | 3,006,369 | 105,480,101 |
No Vehicles Available | 47, 9.02%, see rank | 8.27% | 10.30% |
1 Vehicles Available | 167, 32.05%, see rank | 32.31% | 34.25% |
2 Vehicles Available | 200, 38.39%, see rank | 39.78% | 38.36% |
3 or More Vehicles Available | 107, 20.54%, see rank | 19.64% | 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.