Pasadena Hills, FL Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| Pasadena Hills, FL | Florida | U.S. |
Total Housing Units | 4,014, 100% | 9,051,851 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 26, 0.65%, see rank | 2.16% | 2.48% |
3 Rooms | 329, 8.20%, see rank | 10.38% | 9.13% |
4 Rooms | 1,225, 30.52%, see rank | 21.92% | 16.60% |
5 Rooms | 914, 22.77%, see rank | 23.70% | 20.41% |
6 Rooms | 628, 15.65%, see rank | 17.82% | 18.06% |
7 Rooms | 469, 11.68%, see rank | 10.59% | 12.27% |
8 Rooms | 183, 4.56%, see rank | 6.13% | 8.48% |
9 Rooms or More | 240, 5.98%, see rank | 5.66% | 10.60% |
Median Rooms | 5.00, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| Pasadena Hills, FL | Florida | U.S. |
Total Housing Units | 3,895, 100% | 8,983,414 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 90, 2.31%, see rank | 2.07% | 2.36% |
3 Rooms | 415, 10.65%, see rank | 10.10% | 8.97% |
4 Rooms | 1,086, 27.88%, see rank | 21.59% | 16.57% |
5 Rooms | 793, 20.36%, see rank | 23.45% | 20.41% |
6 Rooms | 641, 16.46%, see rank | 18.16% | 18.25% |
7 Rooms | 437, 11.22%, see rank | 10.93% | 12.38% |
8 Rooms | 179, 4.60%, see rank | 6.37% | 8.59% |
9 Rooms or More | 254, 6.52%, see rank | 5.73% | 10.52% |
Median Rooms | 4.90, see rank | 5.10 | 5.50 |
ACS 2006-2010 data
| Pasadena Hills, FL | Florida | U.S. |
Total Housing Units | 3,561, 100% | 8,863,057 | 130,038,080 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.59% |
2 Rooms | 89, 2.50%, see rank | 2.38% | 2.62% |
3 Rooms | 298, 8.37%, see rank | 9.95% | 9.02% |
4 Rooms | 809, 22.72%, see rank | 21.68% | 16.85% |
5 Rooms | 819, 23.00%, see rank | 23.45% | 20.93% |
6 Rooms | 704, 19.77%, see rank | 18.57% | 18.56% |
7 Rooms | 437, 12.27%, see rank | 11.22% | 12.38% |
8 Rooms | 242, 6.80%, see rank | 6.29% | 8.39% |
9 Rooms or More | 163, 4.58%, see rank | 5.21% | 9.65% |
Median Rooms | 5.20, 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.