Maalaea, HI Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Maalaea, HI | Hawaii | U.S. |
Occupied Housing Units | 205, 100% | 450,299 | 116,211,092 |
No Vehicles Available | 13, 6.34%, see rank | 8.66% | 9.12% |
1 Vehicles Available | 147, 71.71%, see rank | 34.43% | 33.80% |
2 Vehicles Available | 41, 20.00%, see rank | 36.26% | 37.48% |
3 or More Vehicles Available | 4, 1.95%, see rank | 20.65% | 19.61% |
ACS 2008-2012 data
| Maalaea, HI | Hawaii | U.S. |
Occupied Housing Units | 268, 100% | 447,453 | 115,226,802 |
No Vehicles Available | 13, 4.85%, see rank | 8.73% | 9.03% |
1 Vehicles Available | 185, 69.03%, see rank | 34.18% | 33.67% |
2 Vehicles Available | 56, 20.90%, see rank | 36.16% | 37.64% |
3 or More Vehicles Available | 14, 5.22%, see rank | 20.93% | 19.66% |
ACS 2006-2010 data
| Maalaea, HI | Hawaii | U.S. |
Occupied Housing Units | 237, 100% | 442,267 | 114,235,996 |
No Vehicles Available | 8, 3.38%, see rank | 8.65% | 8.85% |
1 Vehicles Available | 174, 73.42%, see rank | 33.37% | 33.28% |
2 Vehicles Available | 46, 19.41%, see rank | 36.57% | 37.87% |
3 or More Vehicles Available | 9, 3.80%, see rank | 21.42% | 20.00% |
ACS 2005-2009 data
| Maalaea, HI | Hawaii | U.S. |
Occupied Housing Units | 257, 100% | 437,976 | 112,611,029 |
No Vehicles Available | 2, 0.78%, see rank | 8.66% | 8.80% |
1 Vehicles Available | 176, 68.48%, see rank | 33.82% | 33.21% |
2 Vehicles Available | 71, 27.63%, see rank | 36.36% | 37.98% |
3 or More Vehicles Available | 8, 3.11%, see rank | 21.16% | 20.01% |
US Census 2000 data
| Maalaea, HI | Hawaii | U.S. |
Occupied Housing Units | 261, 100% | 403,240 | 105,480,101 |
No Vehicles Available | 23, 8.81%, see rank | 10.98% | 10.30% |
1 Vehicles Available | 156, 59.77%, see rank | 37.04% | 34.25% |
2 Vehicles Available | 76, 29.12%, see rank | 35.69% | 38.36% |
3 or More Vehicles Available | 6, 2.30%, see rank | 16.29% | 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.