49509 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49509 Zip Code | Michigan | U.S. |
Total Housing Units | 10,408, 100% | 4,532,719 | 132,741,033 |
1 Room | 98, 0.94%, see rank | 1.24% | 1.95% |
2 Rooms | 181, 1.74%, see rank | 1.78% | 2.48% |
3 Rooms | 913, 8.77%, see rank | 7.14% | 9.13% |
4 Rooms | 1,577, 15.15%, see rank | 14.38% | 16.60% |
5 Rooms | 2,641, 25.37%, see rank | 21.00% | 20.41% |
6 Rooms | 2,053, 19.73%, see rank | 20.07% | 18.06% |
7 Rooms | 998, 9.59%, see rank | 13.45% | 12.27% |
8 Rooms | 1,040, 9.99%, see rank | 9.27% | 8.48% |
9 Rooms or More | 907, 8.71%, see rank | 11.67% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49509 Zip Code | Michigan | U.S. |
Total Housing Units | 10,551, 100% | 4,531,958 | 131,642,457 |
1 Room | 79, 0.75%, see rank | 1.23% | 1.95% |
2 Rooms | 179, 1.70%, see rank | 1.68% | 2.36% |
3 Rooms | 987, 9.35%, see rank | 6.94% | 8.97% |
4 Rooms | 1,621, 15.36%, see rank | 14.40% | 16.57% |
5 Rooms | 2,487, 23.57%, see rank | 21.17% | 20.41% |
6 Rooms | 2,189, 20.75%, see rank | 20.13% | 18.25% |
7 Rooms | 1,313, 12.44%, see rank | 13.55% | 12.38% |
8 Rooms | 905, 8.58%, see rank | 9.29% | 8.59% |
9 Rooms or More | 791, 7.50%, see rank | 11.61% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49509 Zip Code | Michigan | U.S. |
Total Housing Units | 23,455, 100% | 4,234,279 | 115,904,641 |
1 Room | 484, 2.06%, see rank | 1.18% | 2.20% |
2 Rooms | 855, 3.65%, see rank | 3.20% | 4.81% |
3 Rooms | 2,622, 11.18%, see rank | 7.87% | 9.84% |
4 Rooms | 3,988, 17.00%, see rank | 14.15% | 15.97% |
5 Rooms | 5,130, 21.87%, see rank | 22.63% | 20.89% |
6 Rooms | 3,940, 16.80%, see rank | 20.84% | 18.45% |
7 Rooms | 3,106, 13.24%, see rank | 13.27% | 12.06% |
8 Rooms | 1,880, 8.02%, see rank | 8.62% | 8.06% |
9 Rooms or More | 1,450, 6.18%, see rank | 8.24% | 7.70% |
Median Rooms | 5.20, 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.