Granite, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Granite, UT | Utah | U.S. |
Occupied Housing Units | 607, 100% | 896,194 | 116,211,092 |
No Vehicles Available | 9, 1.48%, see rank | 4.60% | 9.12% |
1 Vehicles Available | 55, 9.06%, see rank | 26.26% | 33.80% |
2 Vehicles Available | 227, 37.40%, see rank | 41.80% | 37.48% |
3 or More Vehicles Available | 316, 52.06%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| Granite, UT | Utah | U.S. |
Occupied Housing Units | 727, 100% | 880,873 | 115,226,802 |
No Vehicles Available | 7, 0.96%, see rank | 4.52% | 9.03% |
1 Vehicles Available | 60, 8.25%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 332, 45.67%, see rank | 41.75% | 37.64% |
3 or More Vehicles Available | 328, 45.12%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| Granite, UT | Utah | U.S. |
Occupied Housing Units | 654, 100% | 859,158 | 114,235,996 |
No Vehicles Available | 9, 1.38%, see rank | 4.24% | 8.85% |
1 Vehicles Available | 51, 7.80%, see rank | 25.50% | 33.28% |
2 Vehicles Available | 284, 43.43%, see rank | 42.03% | 37.87% |
3 or More Vehicles Available | 310, 47.40%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| Granite, UT | Utah | U.S. |
Occupied Housing Units | 533, 100% | 831,563 | 112,611,029 |
No Vehicles Available | 0, 0.00%, see rank | 4.17% | 8.80% |
1 Vehicles Available | 23, 4.32%, see rank | 25.36% | 33.21% |
2 Vehicles Available | 249, 46.72%, see rank | 41.90% | 37.98% |
3 or More Vehicles Available | 261, 48.97%, see rank | 28.57% | 20.01% |
US Census 2000 data
| Granite, UT | Utah | U.S. |
Occupied Housing Units | 635, 100% | 701,281 | 105,480,101 |
No Vehicles Available | 15, 2.36%, see rank | 5.08% | 10.30% |
1 Vehicles Available | 58, 9.13%, see rank | 26.94% | 34.25% |
2 Vehicles Available | 258, 40.63%, see rank | 41.89% | 38.36% |
3 or More Vehicles Available | 304, 47.87%, 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.