49663 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49663 Zip Code | Michigan | U.S. |
Total Housing Units | 2,913, 100% | 4,532,719 | 132,741,033 |
1 Room | 52, 1.79%, see rank | 1.24% | 1.95% |
2 Rooms | 70, 2.40%, see rank | 1.78% | 2.48% |
3 Rooms | 150, 5.15%, see rank | 7.14% | 9.13% |
4 Rooms | 515, 17.68%, see rank | 14.38% | 16.60% |
5 Rooms | 693, 23.79%, see rank | 21.00% | 20.41% |
6 Rooms | 565, 19.40%, see rank | 20.07% | 18.06% |
7 Rooms | 380, 13.04%, see rank | 13.45% | 12.27% |
8 Rooms | 237, 8.14%, see rank | 9.27% | 8.48% |
9 Rooms or More | 251, 8.62%, see rank | 11.67% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49663 Zip Code | Michigan | U.S. |
Total Housing Units | 2,888, 100% | 4,531,958 | 131,642,457 |
1 Room | 34, 1.18%, see rank | 1.23% | 1.95% |
2 Rooms | 83, 2.87%, see rank | 1.68% | 2.36% |
3 Rooms | 164, 5.68%, see rank | 6.94% | 8.97% |
4 Rooms | 593, 20.53%, see rank | 14.40% | 16.57% |
5 Rooms | 704, 24.38%, see rank | 21.17% | 20.41% |
6 Rooms | 468, 16.20%, see rank | 20.13% | 18.25% |
7 Rooms | 376, 13.02%, see rank | 13.55% | 12.38% |
8 Rooms | 243, 8.41%, see rank | 9.29% | 8.59% |
9 Rooms or More | 223, 7.72%, see rank | 11.61% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49663 Zip Code | Michigan | U.S. |
Total Housing Units | 2,687, 100% | 4,234,279 | 115,904,641 |
1 Room | 117, 4.35%, see rank | 1.18% | 2.20% |
2 Rooms | 66, 2.46%, see rank | 3.20% | 4.81% |
3 Rooms | 202, 7.52%, see rank | 7.87% | 9.84% |
4 Rooms | 444, 16.52%, see rank | 14.15% | 15.97% |
5 Rooms | 621, 23.11%, see rank | 22.63% | 20.89% |
6 Rooms | 527, 19.61%, see rank | 20.84% | 18.45% |
7 Rooms | 353, 13.14%, see rank | 13.27% | 12.06% |
8 Rooms | 176, 6.55%, see rank | 8.62% | 8.06% |
9 Rooms or More | 181, 6.74%, see rank | 8.24% | 7.70% |
Median Rooms | 5.30, 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.