Lingle, WY Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Lingle, WY | Wyoming | U.S. |
Occupied Housing Units | 188, 100% | 225,514 | 116,211,092 |
No Vehicles Available | 1, 0.53%, see rank | 3.83% | 9.12% |
1 Vehicles Available | 34, 18.09%, see rank | 26.63% | 33.80% |
2 Vehicles Available | 76, 40.43%, see rank | 37.89% | 37.48% |
3 or More Vehicles Available | 77, 40.96%, see rank | 31.66% | 19.61% |
ACS 2008-2012 data
| Lingle, WY | Wyoming | U.S. |
Occupied Housing Units | 214, 100% | 221,479 | 115,226,802 |
No Vehicles Available | 1, 0.47%, see rank | 3.57% | 9.03% |
1 Vehicles Available | 61, 28.50%, see rank | 26.09% | 33.67% |
2 Vehicles Available | 87, 40.65%, see rank | 38.18% | 37.64% |
3 or More Vehicles Available | 65, 30.37%, see rank | 32.15% | 19.66% |
ACS 2006-2010 data
| Lingle, WY | Wyoming | U.S. |
Occupied Housing Units | 237, 100% | 217,688 | 114,235,996 |
No Vehicles Available | 7, 2.95%, see rank | 3.47% | 8.85% |
1 Vehicles Available | 61, 25.74%, see rank | 26.29% | 33.28% |
2 Vehicles Available | 117, 49.37%, see rank | 37.37% | 37.87% |
3 or More Vehicles Available | 52, 21.94%, see rank | 32.87% | 20.00% |
ACS 2005-2009 data
| Lingle, WY | Wyoming | U.S. |
Occupied Housing Units | 254, 100% | 208,269 | 112,611,029 |
No Vehicles Available | 5, 1.97%, see rank | 3.66% | 8.80% |
1 Vehicles Available | 75, 29.53%, see rank | 26.44% | 33.21% |
2 Vehicles Available | 103, 40.55%, see rank | 37.54% | 37.98% |
3 or More Vehicles Available | 71, 27.95%, see rank | 32.36% | 20.01% |
US Census 2000 data
| Lingle, WY | Wyoming | U.S. |
Occupied Housing Units | 215, 100% | 193,608 | 105,480,101 |
No Vehicles Available | 8, 3.72%, see rank | 4.57% | 10.30% |
1 Vehicles Available | 64, 29.77%, see rank | 29.23% | 34.25% |
2 Vehicles Available | 79, 36.74%, see rank | 38.70% | 38.36% |
3 or More Vehicles Available | 64, 29.77%, see rank | 27.50% | 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.