Paisley, FL Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Paisley, FL | Florida | U.S. |
Occupied Housing Units | 272, 100% | 7,217,508 | 116,211,092 |
No Vehicles Available | 28, 10.29%, see rank | 7.09% | 9.12% |
1 Vehicles Available | 76, 27.94%, see rank | 41.49% | 33.80% |
2 Vehicles Available | 144, 52.94%, see rank | 37.93% | 37.48% |
3 or More Vehicles Available | 24, 8.82%, see rank | 13.49% | 19.61% |
ACS 2008-2012 data
| Paisley, FL | Florida | U.S. |
Occupied Housing Units | 250, 100% | 7,147,013 | 115,226,802 |
No Vehicles Available | 11, 4.40%, see rank | 6.87% | 9.03% |
1 Vehicles Available | 79, 31.60%, see rank | 41.23% | 33.67% |
2 Vehicles Available | 152, 60.80%, see rank | 38.13% | 37.64% |
3 or More Vehicles Available | 8, 3.20%, see rank | 13.76% | 19.66% |
ACS 2006-2010 data
| Paisley, FL | Florida | U.S. |
Occupied Housing Units | 326, 100% | 7,152,844 | 114,235,996 |
No Vehicles Available | 20, 6.13%, see rank | 6.46% | 8.85% |
1 Vehicles Available | 179, 54.91%, see rank | 40.30% | 33.28% |
2 Vehicles Available | 109, 33.44%, see rank | 38.62% | 37.87% |
3 or More Vehicles Available | 18, 5.52%, see rank | 14.62% | 20.00% |
ACS 2005-2009 data
| Paisley, FL | Florida | U.S. |
Occupied Housing Units | 409, 100% | 7,076,539 | 112,611,029 |
No Vehicles Available | 41, 10.02%, see rank | 6.45% | 8.80% |
1 Vehicles Available | 191, 46.70%, see rank | 40.06% | 33.21% |
2 Vehicles Available | 118, 28.85%, see rank | 38.84% | 37.98% |
3 or More Vehicles Available | 59, 14.43%, see rank | 14.64% | 20.01% |
US Census 2000 data
| Paisley, FL | Florida | U.S. |
Occupied Housing Units | 310, 100% | 6,337,929 | 105,480,101 |
No Vehicles Available | 0, 0.00%, see rank | 8.13% | 10.30% |
1 Vehicles Available | 119, 38.39%, see rank | 41.44% | 34.25% |
2 Vehicles Available | 134, 43.23%, see rank | 38.18% | 38.36% |
3 or More Vehicles Available | 57, 18.39%, see rank | 12.25% | 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.