Laupahoehoe, HI Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Laupahoehoe, HI | Hawaii | U.S. |
Occupied Housing Units | 223, 100% | 450,299 | 116,211,092 |
No Vehicles Available | 2, 0.90%, see rank | 8.66% | 9.12% |
1 Vehicles Available | 88, 39.46%, see rank | 34.43% | 33.80% |
2 Vehicles Available | 101, 45.29%, see rank | 36.26% | 37.48% |
3 or More Vehicles Available | 32, 14.35%, see rank | 20.65% | 19.61% |
ACS 2008-2012 data
| Laupahoehoe, HI | Hawaii | U.S. |
Occupied Housing Units | 190, 100% | 447,453 | 115,226,802 |
No Vehicles Available | 4, 2.11%, see rank | 8.73% | 9.03% |
1 Vehicles Available | 24, 12.63%, see rank | 34.18% | 33.67% |
2 Vehicles Available | 127, 66.84%, see rank | 36.16% | 37.64% |
3 or More Vehicles Available | 35, 18.42%, see rank | 20.93% | 19.66% |
ACS 2006-2010 data
| Laupahoehoe, HI | Hawaii | U.S. |
Occupied Housing Units | 166, 100% | 442,267 | 114,235,996 |
No Vehicles Available | 4, 2.41%, see rank | 8.65% | 8.85% |
1 Vehicles Available | 23, 13.86%, see rank | 33.37% | 33.28% |
2 Vehicles Available | 107, 64.46%, see rank | 36.57% | 37.87% |
3 or More Vehicles Available | 32, 19.28%, see rank | 21.42% | 20.00% |
ACS 2005-2009 data
| Laupahoehoe, HI | Hawaii | U.S. |
Occupied Housing Units | 192, 100% | 437,976 | 112,611,029 |
No Vehicles Available | 3, 1.56%, see rank | 8.66% | 8.80% |
1 Vehicles Available | 19, 9.90%, see rank | 33.82% | 33.21% |
2 Vehicles Available | 125, 65.10%, see rank | 36.36% | 37.98% |
3 or More Vehicles Available | 45, 23.44%, see rank | 21.16% | 20.01% |
US Census 2000 data
| Laupahoehoe, HI | Hawaii | U.S. |
Occupied Housing Units | 171, 100% | 403,240 | 105,480,101 |
No Vehicles Available | 15, 8.77%, see rank | 10.98% | 10.30% |
1 Vehicles Available | 50, 29.24%, see rank | 37.04% | 34.25% |
2 Vehicles Available | 72, 42.11%, see rank | 35.69% | 38.36% |
3 or More Vehicles Available | 34, 19.88%, 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.