Noma, FL Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Noma, FL | Florida | U.S. |
Occupied Housing Units | 89, 100% | 7,217,508 | 116,211,092 |
No Vehicles Available | 5, 5.62%, see rank | 7.09% | 9.12% |
1 Vehicles Available | 47, 52.81%, see rank | 41.49% | 33.80% |
2 Vehicles Available | 29, 32.58%, see rank | 37.93% | 37.48% |
3 or More Vehicles Available | 8, 8.99%, see rank | 13.49% | 19.61% |
ACS 2008-2012 data
| Noma, FL | Florida | U.S. |
Occupied Housing Units | 115, 100% | 7,147,013 | 115,226,802 |
No Vehicles Available | 16, 13.91%, see rank | 6.87% | 9.03% |
1 Vehicles Available | 63, 54.78%, see rank | 41.23% | 33.67% |
2 Vehicles Available | 28, 24.35%, see rank | 38.13% | 37.64% |
3 or More Vehicles Available | 8, 6.96%, see rank | 13.76% | 19.66% |
ACS 2006-2010 data
| Noma, FL | Florida | U.S. |
Occupied Housing Units | 111, 100% | 7,152,844 | 114,235,996 |
No Vehicles Available | 7, 6.31%, see rank | 6.46% | 8.85% |
1 Vehicles Available | 68, 61.26%, see rank | 40.30% | 33.28% |
2 Vehicles Available | 13, 11.71%, see rank | 38.62% | 37.87% |
3 or More Vehicles Available | 23, 20.72%, see rank | 14.62% | 20.00% |
ACS 2005-2009 data
| Noma, FL | Florida | U.S. |
Occupied Housing Units | 117, 100% | 7,076,539 | 112,611,029 |
No Vehicles Available | 11, 9.40%, see rank | 6.45% | 8.80% |
1 Vehicles Available | 51, 43.59%, see rank | 40.06% | 33.21% |
2 Vehicles Available | 20, 17.09%, see rank | 38.84% | 37.98% |
3 or More Vehicles Available | 35, 29.91%, see rank | 14.64% | 20.01% |
US Census 2000 data
| Noma, FL | Florida | U.S. |
Occupied Housing Units | 100, 100% | 6,337,929 | 105,480,101 |
No Vehicles Available | 12, 12.00%, see rank | 8.13% | 10.30% |
1 Vehicles Available | 41, 41.00%, see rank | 41.44% | 34.25% |
2 Vehicles Available | 34, 34.00%, see rank | 38.18% | 38.36% |
3 or More Vehicles Available | 13, 13.00%, see rank | 12.25% | 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.