Monroe, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Monroe, UT | Utah | U.S. |
Occupied Housing Units | 864, 100% | 896,194 | 116,211,092 |
No Vehicles Available | 29, 3.36%, see rank | 4.60% | 9.12% |
1 Vehicles Available | 140, 16.20%, see rank | 26.26% | 33.80% |
2 Vehicles Available | 372, 43.06%, see rank | 41.80% | 37.48% |
3 or More Vehicles Available | 323, 37.38%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| Monroe, UT | Utah | U.S. |
Occupied Housing Units | 852, 100% | 880,873 | 115,226,802 |
No Vehicles Available | 16, 1.88%, see rank | 4.52% | 9.03% |
1 Vehicles Available | 166, 19.48%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 308, 36.15%, see rank | 41.75% | 37.64% |
3 or More Vehicles Available | 362, 42.49%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| Monroe, UT | Utah | U.S. |
Occupied Housing Units | 908, 100% | 859,158 | 114,235,996 |
No Vehicles Available | 22, 2.42%, see rank | 4.24% | 8.85% |
1 Vehicles Available | 186, 20.48%, see rank | 25.50% | 33.28% |
2 Vehicles Available | 360, 39.65%, see rank | 42.03% | 37.87% |
3 or More Vehicles Available | 340, 37.44%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| Monroe, UT | Utah | U.S. |
Occupied Housing Units | 867, 100% | 831,563 | 112,611,029 |
No Vehicles Available | 20, 2.31%, see rank | 4.17% | 8.80% |
1 Vehicles Available | 179, 20.65%, see rank | 25.36% | 33.21% |
2 Vehicles Available | 333, 38.41%, see rank | 41.90% | 37.98% |
3 or More Vehicles Available | 335, 38.64%, see rank | 28.57% | 20.01% |
US Census 2000 data
| Monroe, UT | Utah | U.S. |
Occupied Housing Units | 636, 100% | 701,281 | 105,480,101 |
No Vehicles Available | 19, 2.99%, see rank | 5.08% | 10.30% |
1 Vehicles Available | 144, 22.64%, see rank | 26.94% | 34.25% |
2 Vehicles Available | 238, 37.42%, see rank | 41.89% | 38.36% |
3 or More Vehicles Available | 235, 36.95%, 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.