Winona, TX Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Winona, TX | Texas | U.S. |
Occupied Housing Units | 255, 100% | 9,013,582 | 116,211,092 |
No Vehicles Available | 33, 12.94%, see rank | 5.88% | 9.12% |
1 Vehicles Available | 53, 20.78%, see rank | 34.31% | 33.80% |
2 Vehicles Available | 138, 54.12%, see rank | 40.44% | 37.48% |
3 or More Vehicles Available | 31, 12.16%, see rank | 19.37% | 19.61% |
ACS 2008-2012 data
| Winona, TX | Texas | U.S. |
Occupied Housing Units | 260, 100% | 8,782,598 | 115,226,802 |
No Vehicles Available | 24, 9.23%, see rank | 5.92% | 9.03% |
1 Vehicles Available | 72, 27.69%, see rank | 34.52% | 33.67% |
2 Vehicles Available | 123, 47.31%, see rank | 40.57% | 37.64% |
3 or More Vehicles Available | 41, 15.77%, see rank | 18.98% | 19.66% |
ACS 2006-2010 data
| Winona, TX | Texas | U.S. |
Occupied Housing Units | 242, 100% | 8,539,206 | 114,235,996 |
No Vehicles Available | 8, 3.31%, see rank | 6.02% | 8.85% |
1 Vehicles Available | 83, 34.30%, see rank | 34.60% | 33.28% |
2 Vehicles Available | 88, 36.36%, see rank | 40.77% | 37.87% |
3 or More Vehicles Available | 63, 26.03%, see rank | 18.61% | 20.00% |
ACS 2005-2009 data
| Winona, TX | Texas | U.S. |
Occupied Housing Units | 226, 100% | 8,269,046 | 112,611,029 |
No Vehicles Available | 5, 2.21%, see rank | 6.14% | 8.80% |
1 Vehicles Available | 110, 48.67%, see rank | 34.99% | 33.21% |
2 Vehicles Available | 76, 33.63%, see rank | 40.74% | 37.98% |
3 or More Vehicles Available | 35, 15.49%, see rank | 18.14% | 20.01% |
US Census 2000 data
| Winona, TX | Texas | U.S. |
Occupied Housing Units | 212, 100% | 7,393,354 | 105,480,101 |
No Vehicles Available | 8, 3.77%, see rank | 7.41% | 10.30% |
1 Vehicles Available | 80, 37.74%, see rank | 35.96% | 34.25% |
2 Vehicles Available | 87, 41.04%, see rank | 40.91% | 38.36% |
3 or More Vehicles Available | 37, 17.45%, see rank | 15.72% | 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.