49065 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49065 Zip Code | Michigan | U.S. |
Total Housing Units | 3,122, 100% | 4,532,719 | 132,741,033 |
1 Room | 21, 0.67%, see rank | 1.24% | 1.95% |
2 Rooms | 20, 0.64%, see rank | 1.78% | 2.48% |
3 Rooms | 143, 4.58%, see rank | 7.14% | 9.13% |
4 Rooms | 545, 17.46%, see rank | 14.38% | 16.60% |
5 Rooms | 628, 20.12%, see rank | 21.00% | 20.41% |
6 Rooms | 603, 19.31%, see rank | 20.07% | 18.06% |
7 Rooms | 501, 16.05%, see rank | 13.45% | 12.27% |
8 Rooms | 297, 9.51%, see rank | 9.27% | 8.48% |
9 Rooms or More | 364, 11.66%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49065 Zip Code | Michigan | U.S. |
Total Housing Units | 3,036, 100% | 4,531,958 | 131,642,457 |
1 Room | 20, 0.66%, see rank | 1.23% | 1.95% |
2 Rooms | 27, 0.89%, see rank | 1.68% | 2.36% |
3 Rooms | 81, 2.67%, see rank | 6.94% | 8.97% |
4 Rooms | 513, 16.90%, see rank | 14.40% | 16.57% |
5 Rooms | 663, 21.84%, see rank | 21.17% | 20.41% |
6 Rooms | 601, 19.80%, see rank | 20.13% | 18.25% |
7 Rooms | 455, 14.99%, see rank | 13.55% | 12.38% |
8 Rooms | 337, 11.10%, see rank | 9.29% | 8.59% |
9 Rooms or More | 339, 11.17%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49065 Zip Code | Michigan | U.S. |
Total Housing Units | 2,752, 100% | 4,234,279 | 115,904,641 |
1 Room | 7, 0.25%, see rank | 1.18% | 2.20% |
2 Rooms | 40, 1.45%, see rank | 3.20% | 4.81% |
3 Rooms | 107, 3.89%, see rank | 7.87% | 9.84% |
4 Rooms | 313, 11.37%, see rank | 14.15% | 15.97% |
5 Rooms | 759, 27.58%, see rank | 22.63% | 20.89% |
6 Rooms | 582, 21.15%, see rank | 20.84% | 18.45% |
7 Rooms | 369, 13.41%, see rank | 13.27% | 12.06% |
8 Rooms | 258, 9.38%, see rank | 8.62% | 8.06% |
9 Rooms or More | 317, 11.52%, see rank | 8.24% | 7.70% |
Median Rooms | 5.80, 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.