Onaka, SD Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Onaka, SD | South Dakota | U.S. |
Occupied Housing Units | 9, 100% | 327,101 | 116,211,092 |
No Vehicles Available | 0, 0.00%, see rank | 5.30% | 9.12% |
1 Vehicles Available | 5, 55.56%, see rank | 28.60% | 33.80% |
2 Vehicles Available | 1, 11.11%, see rank | 37.24% | 37.48% |
3 or More Vehicles Available | 3, 33.33%, see rank | 28.87% | 19.61% |
ACS 2008-2012 data
| Onaka, SD | South Dakota | U.S. |
Occupied Housing Units | 14, 100% | 320,467 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 5.35% | 9.03% |
1 Vehicles Available | 11, 78.57%, see rank | 28.28% | 33.67% |
2 Vehicles Available | 1, 7.14%, see rank | 37.61% | 37.64% |
3 or More Vehicles Available | 2, 14.29%, see rank | 28.77% | 19.66% |
ACS 2006-2010 data
| Onaka, SD | South Dakota | U.S. |
Occupied Housing Units | 22, 100% | 315,468 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 5.40% | 8.85% |
1 Vehicles Available | 17, 77.27%, see rank | 27.78% | 33.28% |
2 Vehicles Available | 4, 18.18%, see rank | 38.12% | 37.87% |
3 or More Vehicles Available | 1, 4.55%, see rank | 28.70% | 20.00% |
ACS 2005-2009 data
| Onaka, SD | South Dakota | U.S. |
Occupied Housing Units | 22, 100% | 314,674 | 112,611,029 |
No Vehicles Available | 0, 0.00%, see rank | 5.04% | 8.80% |
1 Vehicles Available | 13, 59.09%, see rank | 28.07% | 33.21% |
2 Vehicles Available | 4, 18.18%, see rank | 38.45% | 37.98% |
3 or More Vehicles Available | 5, 22.73%, see rank | 28.44% | 20.01% |
US Census 2000 data
| Onaka, SD | South Dakota | U.S. |
Occupied Housing Units | 17, 100% | 290,245 | 105,480,101 |
No Vehicles Available | 0, 0.00%, see rank | 6.11% | 10.30% |
1 Vehicles Available | 11, 64.71%, see rank | 29.89% | 34.25% |
2 Vehicles Available | 2, 11.76%, see rank | 38.66% | 38.36% |
3 or More Vehicles Available | 4, 23.53%, see rank | 25.34% | 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.