48906 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48906 Zip Code | Michigan | U.S. |
Total Housing Units | 11,707, 100% | 4,532,719 | 132,741,033 |
1 Room | 98, 0.84%, see rank | 1.24% | 1.95% |
2 Rooms | 394, 3.37%, see rank | 1.78% | 2.48% |
3 Rooms | 690, 5.89%, see rank | 7.14% | 9.13% |
4 Rooms | 1,900, 16.23%, see rank | 14.38% | 16.60% |
5 Rooms | 2,673, 22.83%, see rank | 21.00% | 20.41% |
6 Rooms | 2,337, 19.96%, see rank | 20.07% | 18.06% |
7 Rooms | 1,756, 15.00%, see rank | 13.45% | 12.27% |
8 Rooms | 788, 6.73%, see rank | 9.27% | 8.48% |
9 Rooms or More | 1,071, 9.15%, see rank | 11.67% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48906 Zip Code | Michigan | U.S. |
Total Housing Units | 11,783, 100% | 4,531,958 | 131,642,457 |
1 Room | 267, 2.27%, see rank | 1.23% | 1.95% |
2 Rooms | 443, 3.76%, see rank | 1.68% | 2.36% |
3 Rooms | 738, 6.26%, see rank | 6.94% | 8.97% |
4 Rooms | 2,137, 18.14%, see rank | 14.40% | 16.57% |
5 Rooms | 2,451, 20.80%, see rank | 21.17% | 20.41% |
6 Rooms | 2,263, 19.21%, see rank | 20.13% | 18.25% |
7 Rooms | 1,701, 14.44%, see rank | 13.55% | 12.38% |
8 Rooms | 825, 7.00%, see rank | 9.29% | 8.59% |
9 Rooms or More | 958, 8.13%, see rank | 11.61% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48906 Zip Code | Michigan | U.S. |
Total Housing Units | 11,254, 100% | 4,234,279 | 115,904,641 |
1 Room | 158, 1.40%, see rank | 1.18% | 2.20% |
2 Rooms | 364, 3.23%, see rank | 3.20% | 4.81% |
3 Rooms | 724, 6.43%, see rank | 7.87% | 9.84% |
4 Rooms | 1,845, 16.39%, see rank | 14.15% | 15.97% |
5 Rooms | 2,678, 23.80%, see rank | 22.63% | 20.89% |
6 Rooms | 2,332, 20.72%, see rank | 20.84% | 18.45% |
7 Rooms | 1,428, 12.69%, see rank | 13.27% | 12.06% |
8 Rooms | 879, 7.81%, see rank | 8.62% | 8.06% |
9 Rooms or More | 846, 7.52%, see rank | 8.24% | 7.70% |
Median Rooms | 5.40, 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.