Onekama, MI Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Onekama, MI | Michigan | U.S. |
Occupied Housing Units | 223, 100% | 3,827,880 | 116,211,092 |
No Vehicles Available | 22, 9.87%, see rank | 7.97% | 9.12% |
1 Vehicles Available | 96, 43.05%, see rank | 35.06% | 33.80% |
2 Vehicles Available | 70, 31.39%, see rank | 38.45% | 37.48% |
3 or More Vehicles Available | 35, 15.70%, see rank | 18.52% | 19.61% |
ACS 2008-2012 data
| Onekama, MI | Michigan | U.S. |
Occupied Housing Units | 233, 100% | 3,818,931 | 115,226,802 |
No Vehicles Available | 16, 6.87%, see rank | 7.66% | 9.03% |
1 Vehicles Available | 105, 45.06%, see rank | 34.93% | 33.67% |
2 Vehicles Available | 80, 34.33%, see rank | 38.86% | 37.64% |
3 or More Vehicles Available | 32, 13.73%, see rank | 18.54% | 19.66% |
ACS 2006-2010 data
| Onekama, MI | Michigan | U.S. |
Occupied Housing Units | 227, 100% | 3,843,997 | 114,235,996 |
No Vehicles Available | 24, 10.57%, see rank | 7.17% | 8.85% |
1 Vehicles Available | 103, 45.37%, see rank | 34.21% | 33.28% |
2 Vehicles Available | 85, 37.44%, see rank | 39.48% | 37.87% |
3 or More Vehicles Available | 15, 6.61%, see rank | 19.14% | 20.00% |
ACS 2005-2009 data
| Onekama, MI | Michigan | U.S. |
Occupied Housing Units | 269, 100% | 3,860,160 | 112,611,029 |
No Vehicles Available | 12, 4.46%, see rank | 6.96% | 8.80% |
1 Vehicles Available | 127, 47.21%, see rank | 33.64% | 33.21% |
2 Vehicles Available | 106, 39.41%, see rank | 39.88% | 37.98% |
3 or More Vehicles Available | 24, 8.92%, see rank | 19.51% | 20.01% |
US Census 2000 data
| Onekama, MI | Michigan | U.S. |
Occupied Housing Units | 231, 100% | 3,785,661 | 105,480,101 |
No Vehicles Available | 20, 8.66%, see rank | 7.67% | 10.30% |
1 Vehicles Available | 104, 45.02%, see rank | 33.75% | 34.25% |
2 Vehicles Available | 80, 34.63%, see rank | 40.72% | 38.36% |
3 or More Vehicles Available | 27, 11.69%, see rank | 17.86% | 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.