Fidelis, FL Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | Fidelis, FL | Florida | U.S. |
| Total Housing Units | 19, 100% | 9,051,851 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.16% | 2.48% |
| 3 Rooms | 0, 0.00%, see rank | 10.38% | 9.13% |
| 4 Rooms | 0, 0.00%, see rank | 21.92% | 16.60% |
| 5 Rooms | 10, 52.63%, see rank | 23.70% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 17.82% | 18.06% |
| 7 Rooms | 0, 0.00%, see rank | 10.59% | 12.27% |
| 8 Rooms | 9, 47.37%, see rank | 6.13% | 8.48% |
| 9 Rooms or More | 0, 0.00%, see rank | 5.66% | 10.60% |
| Median Rooms | 0.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| | Fidelis, FL | Florida | U.S. |
| Total Housing Units | 50, 100% | 8,983,414 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.07% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 10.10% | 8.97% |
| 4 Rooms | 0, 0.00%, see rank | 21.59% | 16.57% |
| 5 Rooms | 27, 54.00%, see rank | 23.45% | 20.41% |
| 6 Rooms | 16, 32.00%, see rank | 18.16% | 18.25% |
| 7 Rooms | 0, 0.00%, see rank | 10.93% | 12.38% |
| 8 Rooms | 7, 14.00%, see rank | 6.37% | 8.59% |
| 9 Rooms or More | 0, 0.00%, see rank | 5.73% | 10.52% |
| Median Rooms | 5.40, see rank | 5.10 | 5.50 |
ACS 2006-2010 data
| | Fidelis, FL | Florida | U.S. |
| Total Housing Units | 103, 100% | 8,863,057 | 130,038,080 |
| 1 Room | 0, 0.00%, see rank | 1.24% | 1.59% |
| 2 Rooms | 0, 0.00%, see rank | 2.38% | 2.62% |
| 3 Rooms | 0, 0.00%, see rank | 9.95% | 9.02% |
| 4 Rooms | 6, 5.83%, see rank | 21.68% | 16.85% |
| 5 Rooms | 32, 31.07%, see rank | 23.45% | 20.93% |
| 6 Rooms | 21, 20.39%, see rank | 18.57% | 18.56% |
| 7 Rooms | 32, 31.07%, see rank | 11.22% | 12.38% |
| 8 Rooms | 12, 11.65%, see rank | 6.29% | 8.39% |
| 9 Rooms or More | 0, 0.00%, see rank | 5.21% | 9.65% |
| Median Rooms | 6.10, see rank | 5.10 | 5.50 |
* 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.
