Pennsylvania Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| | Pennsylvania | % | U.S. |
| Occupied Housing Units | 4,957,736 | 100% | 116,211,092 |
| No Vehicles Available | 571,206 | 11.52%, see rank | 9.12% |
| 1 Vehicles Available | 1,695,029 | 34.19%, see rank | 33.80% |
| 2 Vehicles Available | 1,808,129 | 36.47%, see rank | 37.48% |
| 3 or More Vehicles Available | 883,372 | 17.82%, see rank | 19.61% |
ACS 2008-2012 data
| | Pennsylvania | % | U.S. |
| Occupied Housing Units | 4,959,633 | 100% | 115,226,802 |
| No Vehicles Available | 575,274 | 11.60%, see rank | 9.03% |
| 1 Vehicles Available | 1,688,235 | 34.04%, see rank | 33.67% |
| 2 Vehicles Available | 1,819,178 | 36.68%, see rank | 37.64% |
| 3 or More Vehicles Available | 876,946 | 17.68%, see rank | 19.66% |
ACS 2006-2010 data
| | Pennsylvania | % | U.S. |
| Occupied Housing Units | 4,940,581 | 100% | 114,235,996 |
| No Vehicles Available | 561,878 | 11.37%, see rank | 8.85% |
| 1 Vehicles Available | 1,670,106 | 33.80%, see rank | 33.28% |
| 2 Vehicles Available | 1,828,956 | 37.02%, see rank | 37.87% |
| 3 or More Vehicles Available | 879,641 | 17.80%, see rank | 20.00% |
ACS 2005-2009 data
| | Pennsylvania | % | U.S. |
| Occupied Housing Units | 4,893,127 | 100% | 112,611,029 |
| No Vehicles Available | 547,836 | 11.20%, see rank | 8.80% |
| 1 Vehicles Available | 1,650,293 | 33.73%, see rank | 33.21% |
| 2 Vehicles Available | 1,819,346 | 37.18%, see rank | 37.98% |
| 3 or More Vehicles Available | 875,652 | 17.90%, see rank | 20.01% |
US Census 2000 data
| | Pennsylvania | % | U.S. |
| Occupied Housing Units | 4,777,003 | 100% | 105,480,101 |
| No Vehicles Available | 613,249 | 12.84%, see rank | 10.30% |
| 1 Vehicles Available | 1,667,535 | 34.91%, see rank | 34.25% |
| 2 Vehicles Available | 1,791,526 | 37.50%, see rank | 38.36% |
| 3 or More Vehicles Available | 704,693 | 14.75%, see rank | 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.
