Uintah, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Uintah, UT | Utah | U.S. |
Occupied Housing Units | 391, 100% | 896,194 | 116,211,092 |
No Vehicles Available | 2, 0.51%, see rank | 4.60% | 9.12% |
1 Vehicles Available | 71, 18.16%, see rank | 26.26% | 33.80% |
2 Vehicles Available | 172, 43.99%, see rank | 41.80% | 37.48% |
3 or More Vehicles Available | 146, 37.34%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| Uintah, UT | Utah | U.S. |
Occupied Housing Units | 434, 100% | 880,873 | 115,226,802 |
No Vehicles Available | 3, 0.69%, see rank | 4.52% | 9.03% |
1 Vehicles Available | 79, 18.20%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 185, 42.63%, see rank | 41.75% | 37.64% |
3 or More Vehicles Available | 167, 38.48%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| Uintah, UT | Utah | U.S. |
Occupied Housing Units | 498, 100% | 859,158 | 114,235,996 |
No Vehicles Available | 14, 2.81%, see rank | 4.24% | 8.85% |
1 Vehicles Available | 86, 17.27%, see rank | 25.50% | 33.28% |
2 Vehicles Available | 204, 40.96%, see rank | 42.03% | 37.87% |
3 or More Vehicles Available | 194, 38.96%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| Uintah, UT | Utah | U.S. |
Occupied Housing Units | 482, 100% | 831,563 | 112,611,029 |
No Vehicles Available | 3, 0.62%, see rank | 4.17% | 8.80% |
1 Vehicles Available | 103, 21.37%, see rank | 25.36% | 33.21% |
2 Vehicles Available | 203, 42.12%, see rank | 41.90% | 37.98% |
3 or More Vehicles Available | 173, 35.89%, see rank | 28.57% | 20.01% |
US Census 2000 data
| Uintah, UT | Utah | U.S. |
Occupied Housing Units | 378, 100% | 701,281 | 105,480,101 |
No Vehicles Available | 11, 2.91%, see rank | 5.08% | 10.30% |
1 Vehicles Available | 85, 22.49%, see rank | 26.94% | 34.25% |
2 Vehicles Available | 133, 35.19%, see rank | 41.89% | 38.36% |
3 or More Vehicles Available | 149, 39.42%, see rank | 26.10% | 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.