Lexa, AR Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Lexa, AR | Arkansas | U.S. |
Occupied Housing Units | 109, 100% | 1,132,488 | 116,211,092 |
No Vehicles Available | 6, 5.50%, see rank | 6.36% | 9.12% |
1 Vehicles Available | 49, 44.95%, see rank | 34.07% | 33.80% |
2 Vehicles Available | 36, 33.03%, see rank | 39.29% | 37.48% |
3 or More Vehicles Available | 18, 16.51%, see rank | 20.28% | 19.61% |
ACS 2008-2012 data
| Lexa, AR | Arkansas | U.S. |
Occupied Housing Units | 120, 100% | 1,128,797 | 115,226,802 |
No Vehicles Available | 5, 4.17%, see rank | 6.52% | 9.03% |
1 Vehicles Available | 78, 65.00%, see rank | 34.00% | 33.67% |
2 Vehicles Available | 23, 19.17%, see rank | 39.14% | 37.64% |
3 or More Vehicles Available | 14, 11.67%, see rank | 20.34% | 19.66% |
ACS 2006-2010 data
| Lexa, AR | Arkansas | U.S. |
Occupied Housing Units | 95, 100% | 1,117,154 | 114,235,996 |
No Vehicles Available | 8, 8.42%, see rank | 6.51% | 8.85% |
1 Vehicles Available | 56, 58.95%, see rank | 33.88% | 33.28% |
2 Vehicles Available | 22, 23.16%, see rank | 39.41% | 37.87% |
3 or More Vehicles Available | 9, 9.47%, see rank | 20.19% | 20.00% |
ACS 2005-2009 data
| Lexa, AR | Arkansas | U.S. |
Occupied Housing Units | 114, 100% | 1,109,635 | 112,611,029 |
No Vehicles Available | 8, 7.02%, see rank | 6.67% | 8.80% |
1 Vehicles Available | 57, 50.00%, see rank | 33.89% | 33.21% |
2 Vehicles Available | 27, 23.68%, see rank | 39.58% | 37.98% |
3 or More Vehicles Available | 22, 19.30%, see rank | 19.87% | 20.01% |
US Census 2000 data
| Lexa, AR | Arkansas | U.S. |
Occupied Housing Units | 130, 100% | 1,042,696 | 105,480,101 |
No Vehicles Available | 18, 13.85%, see rank | 8.08% | 10.30% |
1 Vehicles Available | 44, 33.85%, see rank | 34.86% | 34.25% |
2 Vehicles Available | 57, 43.85%, see rank | 40.65% | 38.36% |
3 or More Vehicles Available | 11, 8.46%, see rank | 16.41% | 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.