49247 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49247 Zip Code | Michigan | U.S. |
Total Housing Units | 2,736, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 3, 0.11%, see rank | 1.78% | 2.48% |
3 Rooms | 123, 4.50%, see rank | 7.14% | 9.13% |
4 Rooms | 377, 13.78%, see rank | 14.38% | 16.60% |
5 Rooms | 447, 16.34%, see rank | 21.00% | 20.41% |
6 Rooms | 527, 19.26%, see rank | 20.07% | 18.06% |
7 Rooms | 456, 16.67%, see rank | 13.45% | 12.27% |
8 Rooms | 346, 12.65%, see rank | 9.27% | 8.48% |
9 Rooms or More | 457, 16.70%, see rank | 11.67% | 10.60% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49247 Zip Code | Michigan | U.S. |
Total Housing Units | 2,669, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 6, 0.22%, see rank | 1.68% | 2.36% |
3 Rooms | 131, 4.91%, see rank | 6.94% | 8.97% |
4 Rooms | 357, 13.38%, see rank | 14.40% | 16.57% |
5 Rooms | 417, 15.62%, see rank | 21.17% | 20.41% |
6 Rooms | 466, 17.46%, see rank | 20.13% | 18.25% |
7 Rooms | 454, 17.01%, see rank | 13.55% | 12.38% |
8 Rooms | 412, 15.44%, see rank | 9.29% | 8.59% |
9 Rooms or More | 426, 15.96%, see rank | 11.61% | 10.52% |
Median Rooms | 6.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49247 Zip Code | Michigan | U.S. |
Total Housing Units | 2,621, 100% | 4,234,279 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.18% | 2.20% |
2 Rooms | 20, 0.76%, see rank | 3.20% | 4.81% |
3 Rooms | 151, 5.76%, see rank | 7.87% | 9.84% |
4 Rooms | 312, 11.90%, see rank | 14.15% | 15.97% |
5 Rooms | 482, 18.39%, see rank | 22.63% | 20.89% |
6 Rooms | 518, 19.76%, see rank | 20.84% | 18.45% |
7 Rooms | 493, 18.81%, see rank | 13.27% | 12.06% |
8 Rooms | 305, 11.64%, see rank | 8.62% | 8.06% |
9 Rooms or More | 340, 12.97%, see rank | 8.24% | 7.70% |
Median Rooms | 6.20, 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.