48809 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48809 Zip Code | Michigan | U.S. |
Total Housing Units | 4,494, 100% | 4,532,719 | 132,741,033 |
1 Room | 36, 0.80%, see rank | 1.24% | 1.95% |
2 Rooms | 53, 1.18%, see rank | 1.78% | 2.48% |
3 Rooms | 336, 7.48%, see rank | 7.14% | 9.13% |
4 Rooms | 516, 11.48%, see rank | 14.38% | 16.60% |
5 Rooms | 761, 16.93%, see rank | 21.00% | 20.41% |
6 Rooms | 914, 20.34%, see rank | 20.07% | 18.06% |
7 Rooms | 656, 14.60%, see rank | 13.45% | 12.27% |
8 Rooms | 556, 12.37%, see rank | 9.27% | 8.48% |
9 Rooms or More | 666, 14.82%, see rank | 11.67% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48809 Zip Code | Michigan | U.S. |
Total Housing Units | 4,579, 100% | 4,531,958 | 131,642,457 |
1 Room | 43, 0.94%, see rank | 1.23% | 1.95% |
2 Rooms | 53, 1.16%, see rank | 1.68% | 2.36% |
3 Rooms | 345, 7.53%, see rank | 6.94% | 8.97% |
4 Rooms | 708, 15.46%, see rank | 14.40% | 16.57% |
5 Rooms | 772, 16.86%, see rank | 21.17% | 20.41% |
6 Rooms | 942, 20.57%, see rank | 20.13% | 18.25% |
7 Rooms | 658, 14.37%, see rank | 13.55% | 12.38% |
8 Rooms | 502, 10.96%, see rank | 9.29% | 8.59% |
9 Rooms or More | 556, 12.14%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48809 Zip Code | Michigan | U.S. |
Total Housing Units | 4,274, 100% | 4,234,279 | 115,904,641 |
1 Room | 20, 0.47%, see rank | 1.18% | 2.20% |
2 Rooms | 93, 2.18%, see rank | 3.20% | 4.81% |
3 Rooms | 263, 6.15%, see rank | 7.87% | 9.84% |
4 Rooms | 596, 13.94%, see rank | 14.15% | 15.97% |
5 Rooms | 903, 21.13%, see rank | 22.63% | 20.89% |
6 Rooms | 793, 18.55%, see rank | 20.84% | 18.45% |
7 Rooms | 570, 13.34%, see rank | 13.27% | 12.06% |
8 Rooms | 429, 10.04%, see rank | 8.62% | 8.06% |
9 Rooms or More | 607, 14.20%, 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.