49106 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49106 Zip Code | Michigan | U.S. |
Total Housing Units | 2,197, 100% | 4,532,719 | 132,741,033 |
1 Room | 36, 1.64%, see rank | 1.24% | 1.95% |
2 Rooms | 55, 2.50%, see rank | 1.78% | 2.48% |
3 Rooms | 145, 6.60%, see rank | 7.14% | 9.13% |
4 Rooms | 257, 11.70%, see rank | 14.38% | 16.60% |
5 Rooms | 456, 20.76%, see rank | 21.00% | 20.41% |
6 Rooms | 404, 18.39%, see rank | 20.07% | 18.06% |
7 Rooms | 410, 18.66%, see rank | 13.45% | 12.27% |
8 Rooms | 264, 12.02%, see rank | 9.27% | 8.48% |
9 Rooms or More | 170, 7.74%, see rank | 11.67% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49106 Zip Code | Michigan | U.S. |
Total Housing Units | 2,322, 100% | 4,531,958 | 131,642,457 |
1 Room | 24, 1.03%, see rank | 1.23% | 1.95% |
2 Rooms | 36, 1.55%, see rank | 1.68% | 2.36% |
3 Rooms | 69, 2.97%, see rank | 6.94% | 8.97% |
4 Rooms | 390, 16.80%, see rank | 14.40% | 16.57% |
5 Rooms | 391, 16.84%, see rank | 21.17% | 20.41% |
6 Rooms | 420, 18.09%, see rank | 20.13% | 18.25% |
7 Rooms | 370, 15.93%, see rank | 13.55% | 12.38% |
8 Rooms | 340, 14.64%, see rank | 9.29% | 8.59% |
9 Rooms or More | 282, 12.14%, see rank | 11.61% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49106 Zip Code | Michigan | U.S. |
Total Housing Units | 2,241, 100% | 4,234,279 | 115,904,641 |
1 Room | 40, 1.78%, see rank | 1.18% | 2.20% |
2 Rooms | 116, 5.18%, see rank | 3.20% | 4.81% |
3 Rooms | 132, 5.89%, see rank | 7.87% | 9.84% |
4 Rooms | 242, 10.80%, see rank | 14.15% | 15.97% |
5 Rooms | 430, 19.19%, see rank | 22.63% | 20.89% |
6 Rooms | 446, 19.90%, see rank | 20.84% | 18.45% |
7 Rooms | 352, 15.71%, see rank | 13.27% | 12.06% |
8 Rooms | 291, 12.99%, see rank | 8.62% | 8.06% |
9 Rooms or More | 192, 8.57%, see rank | 8.24% | 7.70% |
Median Rooms | 5.90, 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.