48315 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48315 Zip Code | Michigan | U.S. |
Total Housing Units | 10,581, 100% | 4,532,719 | 132,741,033 |
1 Room | 21, 0.20%, see rank | 1.24% | 1.95% |
2 Rooms | 77, 0.73%, see rank | 1.78% | 2.48% |
3 Rooms | 425, 4.02%, see rank | 7.14% | 9.13% |
4 Rooms | 743, 7.02%, see rank | 14.38% | 16.60% |
5 Rooms | 1,877, 17.74%, see rank | 21.00% | 20.41% |
6 Rooms | 2,067, 19.54%, see rank | 20.07% | 18.06% |
7 Rooms | 1,178, 11.13%, see rank | 13.45% | 12.27% |
8 Rooms | 1,463, 13.83%, see rank | 9.27% | 8.48% |
9 Rooms or More | 2,730, 25.80%, see rank | 11.67% | 10.60% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48315 Zip Code | Michigan | U.S. |
Total Housing Units | 10,388, 100% | 4,531,958 | 131,642,457 |
1 Room | 25, 0.24%, see rank | 1.23% | 1.95% |
2 Rooms | 72, 0.69%, see rank | 1.68% | 2.36% |
3 Rooms | 361, 3.48%, see rank | 6.94% | 8.97% |
4 Rooms | 855, 8.23%, see rank | 14.40% | 16.57% |
5 Rooms | 1,760, 16.94%, see rank | 21.17% | 20.41% |
6 Rooms | 1,809, 17.41%, see rank | 20.13% | 18.25% |
7 Rooms | 1,463, 14.08%, see rank | 13.55% | 12.38% |
8 Rooms | 1,489, 14.33%, see rank | 9.29% | 8.59% |
9 Rooms or More | 2,554, 24.59%, see rank | 11.61% | 10.52% |
Median Rooms | 6.70, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48315 Zip Code | Michigan | U.S. |
Total Housing Units | 8,334, 100% | 4,234,279 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.18% | 2.20% |
2 Rooms | 70, 0.84%, see rank | 3.20% | 4.81% |
3 Rooms | 368, 4.42%, see rank | 7.87% | 9.84% |
4 Rooms | 767, 9.20%, see rank | 14.15% | 15.97% |
5 Rooms | 1,438, 17.25%, see rank | 22.63% | 20.89% |
6 Rooms | 1,537, 18.44%, see rank | 20.84% | 18.45% |
7 Rooms | 1,198, 14.37%, see rank | 13.27% | 12.06% |
8 Rooms | 1,188, 14.25%, see rank | 8.62% | 8.06% |
9 Rooms or More | 1,768, 21.21%, see rank | 8.24% | 7.70% |
Median Rooms | 6.50, 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.