Oakley, ID Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Oakley, ID | Idaho | U.S. |
Occupied Housing Units | 289, 100% | 585,259 | 116,211,092 |
No Vehicles Available | 12, 4.15%, see rank | 4.57% | 9.12% |
1 Vehicles Available | 48, 16.61%, see rank | 27.69% | 33.80% |
2 Vehicles Available | 114, 39.45%, see rank | 39.70% | 37.48% |
3 or More Vehicles Available | 115, 39.79%, see rank | 28.04% | 19.61% |
ACS 2008-2012 data
| Oakley, ID | Idaho | U.S. |
Occupied Housing Units | 281, 100% | 577,648 | 115,226,802 |
No Vehicles Available | 24, 8.54%, see rank | 4.26% | 9.03% |
1 Vehicles Available | 56, 19.93%, see rank | 27.27% | 33.67% |
2 Vehicles Available | 85, 30.25%, see rank | 40.07% | 37.64% |
3 or More Vehicles Available | 116, 41.28%, see rank | 28.40% | 19.66% |
ACS 2006-2010 data
| Oakley, ID | Idaho | U.S. |
Occupied Housing Units | 274, 100% | 570,283 | 114,235,996 |
No Vehicles Available | 10, 3.65%, see rank | 3.93% | 8.85% |
1 Vehicles Available | 54, 19.71%, see rank | 26.51% | 33.28% |
2 Vehicles Available | 112, 40.88%, see rank | 40.58% | 37.87% |
3 or More Vehicles Available | 98, 35.77%, see rank | 28.99% | 20.00% |
ACS 2005-2009 data
| Oakley, ID | Idaho | U.S. |
Occupied Housing Units | 273, 100% | 552,726 | 112,611,029 |
No Vehicles Available | 11, 4.03%, see rank | 3.85% | 8.80% |
1 Vehicles Available | 81, 29.67%, see rank | 26.30% | 33.21% |
2 Vehicles Available | 97, 35.53%, see rank | 40.77% | 37.98% |
3 or More Vehicles Available | 84, 30.77%, see rank | 29.07% | 20.01% |
US Census 2000 data
| Oakley, ID | Idaho | U.S. |
Occupied Housing Units | 220, 100% | 469,645 | 105,480,101 |
No Vehicles Available | 4, 1.82%, see rank | 4.67% | 10.30% |
1 Vehicles Available | 49, 22.27%, see rank | 27.73% | 34.25% |
2 Vehicles Available | 69, 31.36%, see rank | 41.88% | 38.36% |
3 or More Vehicles Available | 98, 44.55%, see rank | 25.72% | 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.