48306 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48306 Zip Code | Michigan | U.S. |
Total Housing Units | 9,816, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 6, 0.06%, see rank | 1.78% | 2.48% |
3 Rooms | 195, 1.99%, see rank | 7.14% | 9.13% |
4 Rooms | 465, 4.74%, see rank | 14.38% | 16.60% |
5 Rooms | 767, 7.81%, see rank | 21.00% | 20.41% |
6 Rooms | 937, 9.55%, see rank | 20.07% | 18.06% |
7 Rooms | 1,252, 12.75%, see rank | 13.45% | 12.27% |
8 Rooms | 1,468, 14.96%, see rank | 9.27% | 8.48% |
9 Rooms or More | 4,726, 48.15%, see rank | 11.67% | 10.60% |
Median Rooms | 8.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48306 Zip Code | Michigan | U.S. |
Total Housing Units | 9,741, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.68% | 2.36% |
3 Rooms | 250, 2.57%, see rank | 6.94% | 8.97% |
4 Rooms | 534, 5.48%, see rank | 14.40% | 16.57% |
5 Rooms | 721, 7.40%, see rank | 21.17% | 20.41% |
6 Rooms | 928, 9.53%, see rank | 20.13% | 18.25% |
7 Rooms | 1,317, 13.52%, see rank | 13.55% | 12.38% |
8 Rooms | 1,442, 14.80%, see rank | 9.29% | 8.59% |
9 Rooms or More | 4,549, 46.70%, see rank | 11.61% | 10.52% |
Median Rooms | 8.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48306 Zip Code | Michigan | U.S. |
Total Housing Units | 8,048, 100% | 4,234,279 | 115,904,641 |
1 Room | 6, 0.07%, see rank | 1.18% | 2.20% |
2 Rooms | 25, 0.31%, see rank | 3.20% | 4.81% |
3 Rooms | 219, 2.72%, see rank | 7.87% | 9.84% |
4 Rooms | 323, 4.01%, see rank | 14.15% | 15.97% |
5 Rooms | 581, 7.22%, see rank | 22.63% | 20.89% |
6 Rooms | 836, 10.39%, see rank | 20.84% | 18.45% |
7 Rooms | 904, 11.23%, see rank | 13.27% | 12.06% |
8 Rooms | 1,681, 20.89%, see rank | 8.62% | 8.06% |
9 Rooms or More | 3,473, 43.15%, see rank | 8.24% | 7.70% |
Median Rooms | 8.20, 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.