Salem, GA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Salem, GA | Georgia | U.S. |
Occupied Housing Units | 154, 100% | 3,540,690 | 116,211,092 |
No Vehicles Available | 8, 5.19%, see rank | 6.87% | 9.12% |
1 Vehicles Available | 52, 33.77%, see rank | 34.11% | 33.80% |
2 Vehicles Available | 36, 23.38%, see rank | 38.56% | 37.48% |
3 or More Vehicles Available | 58, 37.66%, see rank | 20.46% | 19.61% |
ACS 2008-2012 data
| Salem, GA | Georgia | U.S. |
Occupied Housing Units | 100, 100% | 3,508,477 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 6.74% | 9.03% |
1 Vehicles Available | 37, 37.00%, see rank | 33.90% | 33.67% |
2 Vehicles Available | 4, 4.00%, see rank | 38.72% | 37.64% |
3 or More Vehicles Available | 59, 59.00%, see rank | 20.64% | 19.66% |
ACS 2006-2010 data
| Salem, GA | Georgia | U.S. |
Occupied Housing Units | 130, 100% | 3,468,704 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 6.71% | 8.85% |
1 Vehicles Available | 32, 24.62%, see rank | 33.19% | 33.28% |
2 Vehicles Available | 9, 6.92%, see rank | 38.86% | 37.87% |
3 or More Vehicles Available | 89, 68.46%, see rank | 21.24% | 20.00% |
ACS 2005-2009 data
| Salem, GA | Georgia | U.S. |
Occupied Housing Units | 145, 100% | 3,417,298 | 112,611,029 |
No Vehicles Available | 0, 0.00%, see rank | 6.70% | 8.80% |
1 Vehicles Available | 41, 28.28%, see rank | 33.09% | 33.21% |
2 Vehicles Available | 42, 28.97%, see rank | 38.84% | 37.98% |
3 or More Vehicles Available | 62, 42.76%, see rank | 21.37% | 20.01% |
US Census 2000 data
| Salem, GA | Georgia | U.S. |
Occupied Housing Units | 126, 100% | 3,006,369 | 105,480,101 |
No Vehicles Available | 0, 0.00%, see rank | 8.27% | 10.30% |
1 Vehicles Available | 31, 24.60%, see rank | 32.31% | 34.25% |
2 Vehicles Available | 47, 37.30%, see rank | 39.78% | 38.36% |
3 or More Vehicles Available | 48, 38.10%, 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.