48065 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48065 Zip Code | Michigan | U.S. |
Total Housing Units | 4,180, 100% | 4,532,719 | 132,741,033 |
1 Room | 6, 0.14%, see rank | 1.24% | 1.95% |
2 Rooms | 27, 0.65%, see rank | 1.78% | 2.48% |
3 Rooms | 132, 3.16%, see rank | 7.14% | 9.13% |
4 Rooms | 416, 9.95%, see rank | 14.38% | 16.60% |
5 Rooms | 566, 13.54%, see rank | 21.00% | 20.41% |
6 Rooms | 903, 21.60%, see rank | 20.07% | 18.06% |
7 Rooms | 722, 17.27%, see rank | 13.45% | 12.27% |
8 Rooms | 461, 11.03%, see rank | 9.27% | 8.48% |
9 Rooms or More | 947, 22.66%, see rank | 11.67% | 10.60% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48065 Zip Code | Michigan | U.S. |
Total Housing Units | 4,150, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 38, 0.92%, see rank | 1.68% | 2.36% |
3 Rooms | 143, 3.45%, see rank | 6.94% | 8.97% |
4 Rooms | 452, 10.89%, see rank | 14.40% | 16.57% |
5 Rooms | 711, 17.13%, see rank | 21.17% | 20.41% |
6 Rooms | 828, 19.95%, see rank | 20.13% | 18.25% |
7 Rooms | 647, 15.59%, see rank | 13.55% | 12.38% |
8 Rooms | 458, 11.04%, see rank | 9.29% | 8.59% |
9 Rooms or More | 873, 21.04%, see rank | 11.61% | 10.52% |
Median Rooms | 6.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48065 Zip Code | Michigan | U.S. |
Total Housing Units | 3,766, 100% | 4,234,279 | 115,904,641 |
1 Room | 8, 0.21%, see rank | 1.18% | 2.20% |
2 Rooms | 77, 2.04%, see rank | 3.20% | 4.81% |
3 Rooms | 112, 2.97%, see rank | 7.87% | 9.84% |
4 Rooms | 566, 15.03%, see rank | 14.15% | 15.97% |
5 Rooms | 667, 17.71%, see rank | 22.63% | 20.89% |
6 Rooms | 760, 20.18%, see rank | 20.84% | 18.45% |
7 Rooms | 589, 15.64%, see rank | 13.27% | 12.06% |
8 Rooms | 477, 12.67%, see rank | 8.62% | 8.06% |
9 Rooms or More | 510, 13.54%, see rank | 8.24% | 7.70% |
Median Rooms | 6.10, see rank | 5.50 | 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.