48173 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48173 Zip Code | Michigan | U.S. |
Total Housing Units | 5,255, 100% | 4,532,719 | 132,741,033 |
1 Room | 15, 0.29%, see rank | 1.24% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.78% | 2.48% |
3 Rooms | 213, 4.05%, see rank | 7.14% | 9.13% |
4 Rooms | 653, 12.43%, see rank | 14.38% | 16.60% |
5 Rooms | 926, 17.62%, see rank | 21.00% | 20.41% |
6 Rooms | 1,202, 22.87%, see rank | 20.07% | 18.06% |
7 Rooms | 929, 17.68%, see rank | 13.45% | 12.27% |
8 Rooms | 682, 12.98%, see rank | 9.27% | 8.48% |
9 Rooms or More | 635, 12.08%, see rank | 11.67% | 10.60% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48173 Zip Code | Michigan | U.S. |
Total Housing Units | 5,294, 100% | 4,531,958 | 131,642,457 |
1 Room | 15, 0.28%, see rank | 1.23% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.68% | 2.36% |
3 Rooms | 216, 4.08%, see rank | 6.94% | 8.97% |
4 Rooms | 508, 9.60%, see rank | 14.40% | 16.57% |
5 Rooms | 898, 16.96%, see rank | 21.17% | 20.41% |
6 Rooms | 1,195, 22.57%, see rank | 20.13% | 18.25% |
7 Rooms | 1,093, 20.65%, see rank | 13.55% | 12.38% |
8 Rooms | 707, 13.35%, see rank | 9.29% | 8.59% |
9 Rooms or More | 662, 12.50%, see rank | 11.61% | 10.52% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48173 Zip Code | Michigan | U.S. |
Total Housing Units | 4,252, 100% | 4,234,279 | 115,904,641 |
1 Room | 20, 0.47%, see rank | 1.18% | 2.20% |
2 Rooms | 52, 1.22%, see rank | 3.20% | 4.81% |
3 Rooms | 266, 6.26%, see rank | 7.87% | 9.84% |
4 Rooms | 546, 12.84%, see rank | 14.15% | 15.97% |
5 Rooms | 954, 22.44%, see rank | 22.63% | 20.89% |
6 Rooms | 1,032, 24.27%, see rank | 20.84% | 18.45% |
7 Rooms | 676, 15.90%, see rank | 13.27% | 12.06% |
8 Rooms | 473, 11.12%, see rank | 8.62% | 8.06% |
9 Rooms or More | 233, 5.48%, 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.