Vina, AL Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Vina, AL | Alabama | U.S. |
Occupied Housing Units | 155, 100% | 1,842,174 | 116,211,092 |
No Vehicles Available | 36, 23.23%, see rank | 6.48% | 9.12% |
1 Vehicles Available | 46, 29.68%, see rank | 32.94% | 33.80% |
2 Vehicles Available | 46, 29.68%, see rank | 37.28% | 37.48% |
3 or More Vehicles Available | 27, 17.42%, see rank | 23.30% | 19.61% |
ACS 2008-2012 data
| Vina, AL | Alabama | U.S. |
Occupied Housing Units | 141, 100% | 1,837,576 | 115,226,802 |
No Vehicles Available | 33, 23.40%, see rank | 6.46% | 9.03% |
1 Vehicles Available | 34, 24.11%, see rank | 32.58% | 33.67% |
2 Vehicles Available | 49, 34.75%, see rank | 37.42% | 37.64% |
3 or More Vehicles Available | 25, 17.73%, see rank | 23.54% | 19.66% |
ACS 2006-2010 data
| Vina, AL | Alabama | U.S. |
Occupied Housing Units | 151, 100% | 1,821,210 | 114,235,996 |
No Vehicles Available | 31, 20.53%, see rank | 6.45% | 8.85% |
1 Vehicles Available | 46, 30.46%, see rank | 31.95% | 33.28% |
2 Vehicles Available | 48, 31.79%, see rank | 37.55% | 37.87% |
3 or More Vehicles Available | 26, 17.22%, see rank | 24.04% | 20.00% |
ACS 2005-2009 data
| Vina, AL | Alabama | U.S. |
Occupied Housing Units | 154, 100% | 1,819,441 | 112,611,029 |
No Vehicles Available | 26, 16.88%, see rank | 6.63% | 8.80% |
1 Vehicles Available | 60, 38.96%, see rank | 32.04% | 33.21% |
2 Vehicles Available | 47, 30.52%, see rank | 37.52% | 37.98% |
3 or More Vehicles Available | 21, 13.64%, see rank | 23.80% | 20.01% |
US Census 2000 data
| Vina, AL | Alabama | U.S. |
Occupied Housing Units | 147, 100% | 1,737,080 | 105,480,101 |
No Vehicles Available | 19, 12.93%, see rank | 8.27% | 10.30% |
1 Vehicles Available | 56, 38.10%, see rank | 32.28% | 34.25% |
2 Vehicles Available | 58, 39.46%, see rank | 38.18% | 38.36% |
3 or More Vehicles Available | 14, 9.52%, see rank | 21.27% | 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.