Clayton, IN Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Clayton, IN | Indiana | U.S. |
Occupied Housing Units | 384, 100% | 2,492,183 | 116,211,092 |
No Vehicles Available | 7, 1.82%, see rank | 6.86% | 9.12% |
1 Vehicles Available | 125, 32.55%, see rank | 32.87% | 33.80% |
2 Vehicles Available | 154, 40.10%, see rank | 38.90% | 37.48% |
3 or More Vehicles Available | 98, 25.52%, see rank | 21.37% | 19.61% |
ACS 2008-2012 data
| Clayton, IN | Indiana | U.S. |
Occupied Housing Units | 365, 100% | 2,478,846 | 115,226,802 |
No Vehicles Available | 11, 3.01%, see rank | 6.63% | 9.03% |
1 Vehicles Available | 116, 31.78%, see rank | 32.72% | 33.67% |
2 Vehicles Available | 150, 41.10%, see rank | 39.24% | 37.64% |
3 or More Vehicles Available | 88, 24.11%, see rank | 21.41% | 19.66% |
ACS 2006-2010 data
| Clayton, IN | Indiana | U.S. |
Occupied Housing Units | 335, 100% | 2,465,402 | 114,235,996 |
No Vehicles Available | 15, 4.48%, see rank | 6.24% | 8.85% |
1 Vehicles Available | 80, 23.88%, see rank | 32.36% | 33.28% |
2 Vehicles Available | 127, 37.91%, see rank | 39.43% | 37.87% |
3 or More Vehicles Available | 113, 33.73%, see rank | 21.97% | 20.00% |
ACS 2005-2009 data
| Clayton, IN | Indiana | U.S. |
Occupied Housing Units | 416, 100% | 2,468,006 | 112,611,029 |
No Vehicles Available | 25, 6.01%, see rank | 6.32% | 8.80% |
1 Vehicles Available | 116, 27.88%, see rank | 32.01% | 33.21% |
2 Vehicles Available | 158, 37.98%, see rank | 39.56% | 37.98% |
3 or More Vehicles Available | 117, 28.13%, see rank | 22.11% | 20.01% |
US Census 2000 data
| Clayton, IN | Indiana | U.S. |
Occupied Housing Units | 271, 100% | 2,336,306 | 105,480,101 |
No Vehicles Available | 6, 2.21%, see rank | 7.19% | 10.30% |
1 Vehicles Available | 79, 29.15%, see rank | 32.39% | 34.25% |
2 Vehicles Available | 104, 38.38%, see rank | 40.29% | 38.36% |
3 or More Vehicles Available | 82, 30.26%, see rank | 20.13% | 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.