Naples, UT Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Naples, UT | Utah | U.S. |
Occupied Housing Units | 645, 100% | 896,194 | 116,211,092 |
No Vehicles Available | 7, 1.09%, see rank | 4.60% | 9.12% |
1 Vehicles Available | 79, 12.25%, see rank | 26.26% | 33.80% |
2 Vehicles Available | 263, 40.78%, see rank | 41.80% | 37.48% |
3 or More Vehicles Available | 296, 45.89%, see rank | 27.34% | 19.61% |
ACS 2008-2012 data
| Naples, UT | Utah | U.S. |
Occupied Housing Units | 616, 100% | 880,873 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 4.52% | 9.03% |
1 Vehicles Available | 73, 11.85%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 249, 40.42%, see rank | 41.75% | 37.64% |
3 or More Vehicles Available | 294, 47.73%, see rank | 27.64% | 19.66% |
ACS 2006-2010 data
| Naples, UT | Utah | U.S. |
Occupied Housing Units | 501, 100% | 859,158 | 114,235,996 |
No Vehicles Available | 2, 0.40%, see rank | 4.24% | 8.85% |
1 Vehicles Available | 73, 14.57%, see rank | 25.50% | 33.28% |
2 Vehicles Available | 213, 42.51%, see rank | 42.03% | 37.87% |
3 or More Vehicles Available | 213, 42.51%, see rank | 28.24% | 20.00% |
ACS 2005-2009 data
| Naples, UT | Utah | U.S. |
Occupied Housing Units | 436, 100% | 831,563 | 112,611,029 |
No Vehicles Available | 11, 2.52%, see rank | 4.17% | 8.80% |
1 Vehicles Available | 69, 15.83%, see rank | 25.36% | 33.21% |
2 Vehicles Available | 185, 42.43%, see rank | 41.90% | 37.98% |
3 or More Vehicles Available | 171, 39.22%, see rank | 28.57% | 20.01% |
US Census 2000 data
| Naples, UT | Utah | U.S. |
Occupied Housing Units | 404, 100% | 701,281 | 105,480,101 |
No Vehicles Available | 14, 3.47%, see rank | 5.08% | 10.30% |
1 Vehicles Available | 80, 19.80%, see rank | 26.94% | 34.25% |
2 Vehicles Available | 171, 42.33%, see rank | 41.89% | 38.36% |
3 or More Vehicles Available | 139, 34.41%, 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.