Mullen, NE Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Mullen, NE | Nebraska | U.S. |
Occupied Housing Units | 196, 100% | 731,347 | 116,211,092 |
No Vehicles Available | 0, 0.00%, see rank | 5.65% | 9.12% |
1 Vehicles Available | 49, 25.00%, see rank | 30.01% | 33.80% |
2 Vehicles Available | 89, 45.41%, see rank | 39.57% | 37.48% |
3 or More Vehicles Available | 58, 29.59%, see rank | 24.77% | 19.61% |
ACS 2008-2012 data
| Mullen, NE | Nebraska | U.S. |
Occupied Housing Units | 216, 100% | 721,026 | 115,226,802 |
No Vehicles Available | 0, 0.00%, see rank | 5.79% | 9.03% |
1 Vehicles Available | 73, 33.80%, see rank | 29.90% | 33.67% |
2 Vehicles Available | 88, 40.74%, see rank | 39.71% | 37.64% |
3 or More Vehicles Available | 55, 25.46%, see rank | 24.59% | 19.66% |
ACS 2006-2010 data
| Mullen, NE | Nebraska | U.S. |
Occupied Housing Units | 226, 100% | 711,771 | 114,235,996 |
No Vehicles Available | 0, 0.00%, see rank | 5.54% | 8.85% |
1 Vehicles Available | 80, 35.40%, see rank | 29.84% | 33.28% |
2 Vehicles Available | 63, 27.88%, see rank | 39.68% | 37.87% |
3 or More Vehicles Available | 83, 36.73%, see rank | 24.94% | 20.00% |
ACS 2005-2009 data
| Mullen, NE | Nebraska | U.S. |
Occupied Housing Units | 238, 100% | 702,637 | 112,611,029 |
No Vehicles Available | 0, 0.00%, see rank | 5.53% | 8.80% |
1 Vehicles Available | 90, 37.82%, see rank | 30.09% | 33.21% |
2 Vehicles Available | 62, 26.05%, see rank | 39.53% | 37.98% |
3 or More Vehicles Available | 86, 36.13%, see rank | 24.85% | 20.01% |
US Census 2000 data
| Mullen, NE | Nebraska | U.S. |
Occupied Housing Units | 238, 100% | 666,184 | 105,480,101 |
No Vehicles Available | 13, 5.46%, see rank | 6.28% | 10.30% |
1 Vehicles Available | 57, 23.95%, see rank | 31.05% | 34.25% |
2 Vehicles Available | 106, 44.54%, see rank | 40.39% | 38.36% |
3 or More Vehicles Available | 62, 26.05%, see rank | 22.28% | 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.