48915 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48915 Zip Code | Michigan | U.S. |
Total Housing Units | 4,279, 100% | 4,532,719 | 132,741,033 |
1 Room | 45, 1.05%, see rank | 1.24% | 1.95% |
2 Rooms | 32, 0.75%, see rank | 1.78% | 2.48% |
3 Rooms | 250, 5.84%, see rank | 7.14% | 9.13% |
4 Rooms | 622, 14.54%, see rank | 14.38% | 16.60% |
5 Rooms | 901, 21.06%, see rank | 21.00% | 20.41% |
6 Rooms | 1,042, 24.35%, see rank | 20.07% | 18.06% |
7 Rooms | 550, 12.85%, see rank | 13.45% | 12.27% |
8 Rooms | 430, 10.05%, see rank | 9.27% | 8.48% |
9 Rooms or More | 407, 9.51%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48915 Zip Code | Michigan | U.S. |
Total Housing Units | 4,325, 100% | 4,531,958 | 131,642,457 |
1 Room | 43, 0.99%, see rank | 1.23% | 1.95% |
2 Rooms | 13, 0.30%, see rank | 1.68% | 2.36% |
3 Rooms | 157, 3.63%, see rank | 6.94% | 8.97% |
4 Rooms | 519, 12.00%, see rank | 14.40% | 16.57% |
5 Rooms | 1,006, 23.26%, see rank | 21.17% | 20.41% |
6 Rooms | 1,100, 25.43%, see rank | 20.13% | 18.25% |
7 Rooms | 629, 14.54%, see rank | 13.55% | 12.38% |
8 Rooms | 413, 9.55%, see rank | 9.29% | 8.59% |
9 Rooms or More | 445, 10.29%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48915 Zip Code | Michigan | U.S. |
Total Housing Units | 4,467, 100% | 4,234,279 | 115,904,641 |
1 Room | 55, 1.23%, see rank | 1.18% | 2.20% |
2 Rooms | 195, 4.37%, see rank | 3.20% | 4.81% |
3 Rooms | 268, 6.00%, see rank | 7.87% | 9.84% |
4 Rooms | 639, 14.30%, see rank | 14.15% | 15.97% |
5 Rooms | 899, 20.13%, see rank | 22.63% | 20.89% |
6 Rooms | 1,162, 26.01%, see rank | 20.84% | 18.45% |
7 Rooms | 554, 12.40%, see rank | 13.27% | 12.06% |
8 Rooms | 377, 8.44%, see rank | 8.62% | 8.06% |
9 Rooms or More | 318, 7.12%, see rank | 8.24% | 7.70% |
Median Rooms | 5.70, 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.