84065 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 84065 Zip Code | Utah | U.S. |
Total Housing Units | 10,893, 100% | 999,734 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.32% | 1.95% |
2 Rooms | 40, 0.37%, see rank | 2.17% | 2.48% |
3 Rooms | 182, 1.67%, see rank | 6.41% | 9.13% |
4 Rooms | 404, 3.71%, see rank | 13.89% | 16.60% |
5 Rooms | 1,000, 9.18%, see rank | 15.67% | 20.41% |
6 Rooms | 1,419, 13.03%, see rank | 13.45% | 18.06% |
7 Rooms | 1,640, 15.06%, see rank | 12.35% | 12.27% |
8 Rooms | 1,636, 15.02%, see rank | 11.52% | 8.48% |
9 Rooms or More | 4,572, 41.97%, see rank | 23.22% | 10.60% |
Median Rooms | 8.00, see rank | 6.30 | 5.50 |
ACS 2008-2012 data
| 84065 Zip Code | Utah | U.S. |
Total Housing Units | 9,941, 100% | 979,848 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
2 Rooms | 24, 0.24%, see rank | 2.07% | 2.36% |
3 Rooms | 165, 1.66%, see rank | 6.46% | 8.97% |
4 Rooms | 457, 4.60%, see rank | 14.15% | 16.57% |
5 Rooms | 902, 9.07%, see rank | 15.83% | 20.41% |
6 Rooms | 1,236, 12.43%, see rank | 13.54% | 18.25% |
7 Rooms | 1,392, 14.00%, see rank | 12.33% | 12.38% |
8 Rooms | 1,676, 16.86%, see rank | 11.59% | 8.59% |
9 Rooms or More | 4,089, 41.13%, see rank | 22.86% | 10.52% |
Median Rooms | 8.00, see rank | 6.30 | 5.50 |
US Census 2000 data
| 84065 Zip Code | Utah | U.S. |
Total Housing Units | 8,685, 100% | 768,594 | 115,904,641 |
1 Room | 10, 0.12%, see rank | 1.45% | 2.20% |
2 Rooms | 56, 0.64%, see rank | 4.23% | 4.81% |
3 Rooms | 150, 1.73%, see rank | 7.73% | 9.84% |
4 Rooms | 389, 4.48%, see rank | 14.74% | 15.97% |
5 Rooms | 1,090, 12.55%, see rank | 15.57% | 20.89% |
6 Rooms | 1,564, 18.01%, see rank | 13.22% | 18.45% |
7 Rooms | 1,346, 15.50%, see rank | 12.41% | 12.06% |
8 Rooms | 1,426, 16.42%, see rank | 11.87% | 8.06% |
9 Rooms or More | 2,654, 30.56%, see rank | 18.77% | 7.70% |
Median Rooms | 7.30, see rank | 6.00 | 5.30 |
* 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.