Chula, MO Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Chula, MO | Missouri | U.S. |
Occupied Housing Units | 68, 100% | 2,361,232 | 116,211,092 |
No Vehicles Available | 3, 4.41%, see rank | 7.36% | 9.12% |
1 Vehicles Available | 11, 16.18%, see rank | 33.45% | 33.80% |
2 Vehicles Available | 36, 52.94%, see rank | 38.38% | 37.48% |
3 or More Vehicles Available | 18, 26.47%, see rank | 20.81% | 19.61% |
ACS 2008-2012 data
| Chula, MO | Missouri | U.S. |
Occupied Housing Units | 89, 100% | 2,358,270 | 115,226,802 |
No Vehicles Available | 3, 3.37%, see rank | 7.26% | 9.03% |
1 Vehicles Available | 29, 32.58%, see rank | 33.24% | 33.67% |
2 Vehicles Available | 36, 40.45%, see rank | 38.83% | 37.64% |
3 or More Vehicles Available | 21, 23.60%, see rank | 20.68% | 19.66% |
ACS 2006-2010 data
| Chula, MO | Missouri | U.S. |
Occupied Housing Units | 81, 100% | 2,349,955 | 114,235,996 |
No Vehicles Available | 2, 2.47%, see rank | 7.02% | 8.85% |
1 Vehicles Available | 34, 41.98%, see rank | 33.02% | 33.28% |
2 Vehicles Available | 19, 23.46%, see rank | 39.16% | 37.87% |
3 or More Vehicles Available | 26, 32.10%, see rank | 20.80% | 20.00% |
ACS 2005-2009 data
| Chula, MO | Missouri | U.S. |
Occupied Housing Units | 84, 100% | 2,322,238 | 112,611,029 |
No Vehicles Available | 1, 1.19%, see rank | 6.94% | 8.80% |
1 Vehicles Available | 34, 40.48%, see rank | 32.89% | 33.21% |
2 Vehicles Available | 13, 15.48%, see rank | 39.35% | 37.98% |
3 or More Vehicles Available | 36, 42.86%, see rank | 20.82% | 20.01% |
US Census 2000 data
| Chula, MO | Missouri | U.S. |
Occupied Housing Units | 70, 100% | 2,194,594 | 105,480,101 |
No Vehicles Available | 4, 5.71%, see rank | 8.25% | 10.30% |
1 Vehicles Available | 25, 35.71%, see rank | 34.09% | 34.25% |
2 Vehicles Available | 32, 45.71%, see rank | 39.76% | 38.36% |
3 or More Vehicles Available | 9, 12.86%, 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.