48730 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48730 Zip Code | Michigan | U.S. |
Total Housing Units | 3,394, 100% | 4,532,719 | 132,741,033 |
1 Room | 111, 3.27%, see rank | 1.24% | 1.95% |
2 Rooms | 80, 2.36%, see rank | 1.78% | 2.48% |
3 Rooms | 240, 7.07%, see rank | 7.14% | 9.13% |
4 Rooms | 554, 16.32%, see rank | 14.38% | 16.60% |
5 Rooms | 875, 25.78%, see rank | 21.00% | 20.41% |
6 Rooms | 626, 18.44%, see rank | 20.07% | 18.06% |
7 Rooms | 385, 11.34%, see rank | 13.45% | 12.27% |
8 Rooms | 252, 7.42%, see rank | 9.27% | 8.48% |
9 Rooms or More | 271, 7.98%, see rank | 11.67% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48730 Zip Code | Michigan | U.S. |
Total Housing Units | 3,606, 100% | 4,531,958 | 131,642,457 |
1 Room | 39, 1.08%, see rank | 1.23% | 1.95% |
2 Rooms | 79, 2.19%, see rank | 1.68% | 2.36% |
3 Rooms | 216, 5.99%, see rank | 6.94% | 8.97% |
4 Rooms | 642, 17.80%, see rank | 14.40% | 16.57% |
5 Rooms | 1,022, 28.34%, see rank | 21.17% | 20.41% |
6 Rooms | 586, 16.25%, see rank | 20.13% | 18.25% |
7 Rooms | 495, 13.73%, see rank | 13.55% | 12.38% |
8 Rooms | 296, 8.21%, see rank | 9.29% | 8.59% |
9 Rooms or More | 231, 6.41%, see rank | 11.61% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48730 Zip Code | Michigan | U.S. |
Total Housing Units | 3,173, 100% | 4,234,279 | 115,904,641 |
1 Room | 93, 2.93%, see rank | 1.18% | 2.20% |
2 Rooms | 80, 2.52%, see rank | 3.20% | 4.81% |
3 Rooms | 313, 9.86%, see rank | 7.87% | 9.84% |
4 Rooms | 639, 20.14%, see rank | 14.15% | 15.97% |
5 Rooms | 798, 25.15%, see rank | 22.63% | 20.89% |
6 Rooms | 556, 17.52%, see rank | 20.84% | 18.45% |
7 Rooms | 298, 9.39%, see rank | 13.27% | 12.06% |
8 Rooms | 193, 6.08%, see rank | 8.62% | 8.06% |
9 Rooms or More | 203, 6.40%, see rank | 8.24% | 7.70% |
Median Rooms | 5.10, 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.