Lyman, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| | Lyman, UT | Utah | U.S. |
| Occupied Housing Units | 91, 100% | 896,194 | 116,211,092 |
| No Vehicles Available | 0, 0.00%, see rank | 4.60% | 9.12% |
| 1 Vehicles Available | 4, 4.40%, see rank | 26.26% | 33.80% |
| 2 Vehicles Available | 38, 41.76%, see rank | 41.80% | 37.48% |
| 3 or More Vehicles Available | 49, 53.85%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| | Lyman, UT | Utah | U.S. |
| Occupied Housing Units | 112, 100% | 880,873 | 115,226,802 |
| No Vehicles Available | 0, 0.00%, see rank | 4.52% | 9.03% |
| 1 Vehicles Available | 13, 11.61%, see rank | 26.09% | 33.67% |
| 2 Vehicles Available | 52, 46.43%, see rank | 41.75% | 37.64% |
| 3 or More Vehicles Available | 47, 41.96%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| | Lyman, UT | Utah | U.S. |
| Occupied Housing Units | 95, 100% | 859,158 | 114,235,996 |
| No Vehicles Available | 8, 8.42%, see rank | 4.24% | 8.85% |
| 1 Vehicles Available | 6, 6.32%, see rank | 25.50% | 33.28% |
| 2 Vehicles Available | 26, 27.37%, see rank | 42.03% | 37.87% |
| 3 or More Vehicles Available | 55, 57.89%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| | Lyman, UT | Utah | U.S. |
| Occupied Housing Units | 96, 100% | 831,563 | 112,611,029 |
| No Vehicles Available | 5, 5.21%, see rank | 4.17% | 8.80% |
| 1 Vehicles Available | 8, 8.33%, see rank | 25.36% | 33.21% |
| 2 Vehicles Available | 26, 27.08%, see rank | 41.90% | 37.98% |
| 3 or More Vehicles Available | 57, 59.38%, see rank | 28.57% | 20.01% |
US Census 2000 data
| | Lyman, UT | Utah | U.S. |
| Occupied Housing Units | 84, 100% | 701,281 | 105,480,101 |
| No Vehicles Available | 0, 0.00%, see rank | 5.08% | 10.30% |
| 1 Vehicles Available | 22, 26.19%, see rank | 26.94% | 34.25% |
| 2 Vehicles Available | 16, 19.05%, see rank | 41.89% | 38.36% |
| 3 or More Vehicles Available | 46, 54.76%, 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.
