Tignall, GA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Tignall, GA | Georgia | U.S. |
Occupied Housing Units | 203, 100% | 3,540,690 | 116,211,092 |
No Vehicles Available | 24, 11.82%, see rank | 6.87% | 9.12% |
1 Vehicles Available | 88, 43.35%, see rank | 34.11% | 33.80% |
2 Vehicles Available | 44, 21.67%, see rank | 38.56% | 37.48% |
3 or More Vehicles Available | 47, 23.15%, see rank | 20.46% | 19.61% |
ACS 2008-2012 data
| Tignall, GA | Georgia | U.S. |
Occupied Housing Units | 287, 100% | 3,508,477 | 115,226,802 |
No Vehicles Available | 56, 19.51%, see rank | 6.74% | 9.03% |
1 Vehicles Available | 91, 31.71%, see rank | 33.90% | 33.67% |
2 Vehicles Available | 70, 24.39%, see rank | 38.72% | 37.64% |
3 or More Vehicles Available | 70, 24.39%, see rank | 20.64% | 19.66% |
ACS 2006-2010 data
| Tignall, GA | Georgia | U.S. |
Occupied Housing Units | 362, 100% | 3,468,704 | 114,235,996 |
No Vehicles Available | 81, 22.38%, see rank | 6.71% | 8.85% |
1 Vehicles Available | 115, 31.77%, see rank | 33.19% | 33.28% |
2 Vehicles Available | 99, 27.35%, see rank | 38.86% | 37.87% |
3 or More Vehicles Available | 67, 18.51%, see rank | 21.24% | 20.00% |
ACS 2005-2009 data
| Tignall, GA | Georgia | U.S. |
Occupied Housing Units | 304, 100% | 3,417,298 | 112,611,029 |
No Vehicles Available | 77, 25.33%, see rank | 6.70% | 8.80% |
1 Vehicles Available | 60, 19.74%, see rank | 33.09% | 33.21% |
2 Vehicles Available | 111, 36.51%, see rank | 38.84% | 37.98% |
3 or More Vehicles Available | 56, 18.42%, see rank | 21.37% | 20.01% |
US Census 2000 data
| Tignall, GA | Georgia | U.S. |
Occupied Housing Units | 276, 100% | 3,006,369 | 105,480,101 |
No Vehicles Available | 53, 19.20%, see rank | 8.27% | 10.30% |
1 Vehicles Available | 100, 36.23%, see rank | 32.31% | 34.25% |
2 Vehicles Available | 70, 25.36%, see rank | 39.78% | 38.36% |
3 or More Vehicles Available | 53, 19.20%, 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.