Graham, MO Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Graham, MO | Missouri | U.S. |
Occupied Housing Units | 73, 100% | 2,361,232 | 116,211,092 |
No Vehicles Available | 7, 9.59%, see rank | 7.36% | 9.12% |
1 Vehicles Available | 26, 35.62%, see rank | 33.45% | 33.80% |
2 Vehicles Available | 27, 36.99%, see rank | 38.38% | 37.48% |
3 or More Vehicles Available | 13, 17.81%, see rank | 20.81% | 19.61% |
ACS 2008-2012 data
| Graham, MO | Missouri | U.S. |
Occupied Housing Units | 68, 100% | 2,358,270 | 115,226,802 |
No Vehicles Available | 8, 11.76%, see rank | 7.26% | 9.03% |
1 Vehicles Available | 26, 38.24%, see rank | 33.24% | 33.67% |
2 Vehicles Available | 21, 30.88%, see rank | 38.83% | 37.64% |
3 or More Vehicles Available | 13, 19.12%, see rank | 20.68% | 19.66% |
ACS 2006-2010 data
| Graham, MO | Missouri | U.S. |
Occupied Housing Units | 81, 100% | 2,349,955 | 114,235,996 |
No Vehicles Available | 8, 9.88%, see rank | 7.02% | 8.85% |
1 Vehicles Available | 24, 29.63%, see rank | 33.02% | 33.28% |
2 Vehicles Available | 22, 27.16%, see rank | 39.16% | 37.87% |
3 or More Vehicles Available | 27, 33.33%, see rank | 20.80% | 20.00% |
ACS 2005-2009 data
| Graham, MO | Missouri | U.S. |
Occupied Housing Units | 95, 100% | 2,322,238 | 112,611,029 |
No Vehicles Available | 4, 4.21%, see rank | 6.94% | 8.80% |
1 Vehicles Available | 33, 34.74%, see rank | 32.89% | 33.21% |
2 Vehicles Available | 35, 36.84%, see rank | 39.35% | 37.98% |
3 or More Vehicles Available | 23, 24.21%, see rank | 20.82% | 20.01% |
US Census 2000 data
| Graham, MO | Missouri | U.S. |
Occupied Housing Units | 79, 100% | 2,194,594 | 105,480,101 |
No Vehicles Available | 16, 20.25%, see rank | 8.25% | 10.30% |
1 Vehicles Available | 21, 26.58%, see rank | 34.09% | 34.25% |
2 Vehicles Available | 32, 40.51%, see rank | 39.76% | 38.36% |
3 or More Vehicles Available | 10, 12.66%, see rank | 17.90% | 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.