Sun, LA Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Sun, LA | Louisiana | U.S. |
Occupied Housing Units | 131, 100% | 1,718,876 | 116,211,092 |
No Vehicles Available | 6, 4.58%, see rank | 8.59% | 9.12% |
1 Vehicles Available | 49, 37.40%, see rank | 37.07% | 33.80% |
2 Vehicles Available | 51, 38.93%, see rank | 37.93% | 37.48% |
3 or More Vehicles Available | 25, 19.08%, see rank | 16.42% | 19.61% |
ACS 2008-2012 data
| Sun, LA | Louisiana | U.S. |
Occupied Housing Units | 125, 100% | 1,696,499 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 8.48% | 9.03% |
1 Vehicles Available | 55, 44.00%, see rank | 36.88% | 33.67% |
2 Vehicles Available | 67, 53.60%, see rank | 38.10% | 37.64% |
3 or More Vehicles Available | 3, 2.40%, see rank | 16.54% | 19.66% |
ACS 2006-2010 data
| Sun, LA | Louisiana | U.S. |
Occupied Housing Units | 146, 100% | 1,641,165 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 8.47% | 8.85% |
1 Vehicles Available | 48, 32.88%, see rank | 36.07% | 33.28% |
2 Vehicles Available | 87, 59.59%, see rank | 38.56% | 37.87% |
3 or More Vehicles Available | 11, 7.53%, see rank | 16.91% | 20.00% |
ACS 2005-2009 data
| Sun, LA | Louisiana | U.S. |
Occupied Housing Units | 139, 100% | 1,644,094 | 112,611,029 |
No Vehicles Available | 7, 5.04%, see rank | 8.65% | 8.80% |
1 Vehicles Available | 50, 35.97%, see rank | 35.99% | 33.21% |
2 Vehicles Available | 70, 50.36%, see rank | 38.70% | 37.98% |
3 or More Vehicles Available | 12, 8.63%, see rank | 16.66% | 20.01% |
US Census 2000 data
| Sun, LA | Louisiana | U.S. |
Occupied Housing Units | 193, 100% | 1,656,053 | 105,480,101 |
No Vehicles Available | 13, 6.74%, see rank | 11.85% | 10.30% |
1 Vehicles Available | 67, 34.72%, see rank | 37.03% | 34.25% |
2 Vehicles Available | 82, 42.49%, see rank | 38.00% | 38.36% |
3 or More Vehicles Available | 31, 16.06%, see rank | 13.11% | 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.