48015 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48015 Zip Code | Michigan | U.S. |
Total Housing Units | 3,979, 100% | 4,532,719 | 132,741,033 |
1 Room | 107, 2.69%, see rank | 1.24% | 1.95% |
2 Rooms | 152, 3.82%, see rank | 1.78% | 2.48% |
3 Rooms | 569, 14.30%, see rank | 7.14% | 9.13% |
4 Rooms | 480, 12.06%, see rank | 14.38% | 16.60% |
5 Rooms | 1,094, 27.49%, see rank | 21.00% | 20.41% |
6 Rooms | 892, 22.42%, see rank | 20.07% | 18.06% |
7 Rooms | 366, 9.20%, see rank | 13.45% | 12.27% |
8 Rooms | 180, 4.52%, see rank | 9.27% | 8.48% |
9 Rooms or More | 139, 3.49%, see rank | 11.67% | 10.60% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48015 Zip Code | Michigan | U.S. |
Total Housing Units | 3,952, 100% | 4,531,958 | 131,642,457 |
1 Room | 69, 1.75%, see rank | 1.23% | 1.95% |
2 Rooms | 189, 4.78%, see rank | 1.68% | 2.36% |
3 Rooms | 516, 13.06%, see rank | 6.94% | 8.97% |
4 Rooms | 625, 15.81%, see rank | 14.40% | 16.57% |
5 Rooms | 1,103, 27.91%, see rank | 21.17% | 20.41% |
6 Rooms | 617, 15.61%, see rank | 20.13% | 18.25% |
7 Rooms | 496, 12.55%, see rank | 13.55% | 12.38% |
8 Rooms | 118, 2.99%, see rank | 9.29% | 8.59% |
9 Rooms or More | 219, 5.54%, see rank | 11.61% | 10.52% |
Median Rooms | 5.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48015 Zip Code | Michigan | U.S. |
Total Housing Units | 4,022, 100% | 4,234,279 | 115,904,641 |
1 Room | 81, 2.01%, see rank | 1.18% | 2.20% |
2 Rooms | 196, 4.87%, see rank | 3.20% | 4.81% |
3 Rooms | 623, 15.49%, see rank | 7.87% | 9.84% |
4 Rooms | 816, 20.29%, see rank | 14.15% | 15.97% |
5 Rooms | 1,034, 25.71%, see rank | 22.63% | 20.89% |
6 Rooms | 727, 18.08%, see rank | 20.84% | 18.45% |
7 Rooms | 307, 7.63%, see rank | 13.27% | 12.06% |
8 Rooms | 115, 2.86%, see rank | 8.62% | 8.06% |
9 Rooms or More | 123, 3.06%, see rank | 8.24% | 7.70% |
Median Rooms | 4.80, 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.