48097 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48097 Zip Code | Michigan | U.S. |
Total Housing Units | 2,237, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 53, 2.37%, see rank | 1.78% | 2.48% |
3 Rooms | 136, 6.08%, see rank | 7.14% | 9.13% |
4 Rooms | 237, 10.59%, see rank | 14.38% | 16.60% |
5 Rooms | 402, 17.97%, see rank | 21.00% | 20.41% |
6 Rooms | 497, 22.22%, see rank | 20.07% | 18.06% |
7 Rooms | 331, 14.80%, see rank | 13.45% | 12.27% |
8 Rooms | 301, 13.46%, see rank | 9.27% | 8.48% |
9 Rooms or More | 280, 12.52%, see rank | 11.67% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48097 Zip Code | Michigan | U.S. |
Total Housing Units | 2,122, 100% | 4,531,958 | 131,642,457 |
1 Room | 2, 0.09%, see rank | 1.23% | 1.95% |
2 Rooms | 45, 2.12%, see rank | 1.68% | 2.36% |
3 Rooms | 116, 5.47%, see rank | 6.94% | 8.97% |
4 Rooms | 228, 10.74%, see rank | 14.40% | 16.57% |
5 Rooms | 447, 21.07%, see rank | 21.17% | 20.41% |
6 Rooms | 488, 23.00%, see rank | 20.13% | 18.25% |
7 Rooms | 357, 16.82%, see rank | 13.55% | 12.38% |
8 Rooms | 226, 10.65%, see rank | 9.29% | 8.59% |
9 Rooms or More | 213, 10.04%, see rank | 11.61% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48097 Zip Code | Michigan | U.S. |
Total Housing Units | 1,988, 100% | 4,234,279 | 115,904,641 |
1 Room | 3, 0.15%, see rank | 1.18% | 2.20% |
2 Rooms | 28, 1.41%, see rank | 3.20% | 4.81% |
3 Rooms | 87, 4.38%, see rank | 7.87% | 9.84% |
4 Rooms | 229, 11.52%, see rank | 14.15% | 15.97% |
5 Rooms | 412, 20.72%, see rank | 22.63% | 20.89% |
6 Rooms | 507, 25.50%, see rank | 20.84% | 18.45% |
7 Rooms | 351, 17.66%, see rank | 13.27% | 12.06% |
8 Rooms | 225, 11.32%, see rank | 8.62% | 8.06% |
9 Rooms or More | 146, 7.34%, see rank | 8.24% | 7.70% |
Median Rooms | 6.00, 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.