48768 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48768 Zip Code | Michigan | U.S. |
Total Housing Units | 4,058, 100% | 4,532,719 | 132,741,033 |
1 Room | 32, 0.79%, see rank | 1.24% | 1.95% |
2 Rooms | 29, 0.71%, see rank | 1.78% | 2.48% |
3 Rooms | 242, 5.96%, see rank | 7.14% | 9.13% |
4 Rooms | 585, 14.42%, see rank | 14.38% | 16.60% |
5 Rooms | 904, 22.28%, see rank | 21.00% | 20.41% |
6 Rooms | 959, 23.63%, see rank | 20.07% | 18.06% |
7 Rooms | 563, 13.87%, see rank | 13.45% | 12.27% |
8 Rooms | 345, 8.50%, see rank | 9.27% | 8.48% |
9 Rooms or More | 399, 9.83%, see rank | 11.67% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48768 Zip Code | Michigan | U.S. |
Total Housing Units | 4,192, 100% | 4,531,958 | 131,642,457 |
1 Room | 23, 0.55%, see rank | 1.23% | 1.95% |
2 Rooms | 23, 0.55%, see rank | 1.68% | 2.36% |
3 Rooms | 174, 4.15%, see rank | 6.94% | 8.97% |
4 Rooms | 619, 14.77%, see rank | 14.40% | 16.57% |
5 Rooms | 971, 23.16%, see rank | 21.17% | 20.41% |
6 Rooms | 947, 22.59%, see rank | 20.13% | 18.25% |
7 Rooms | 558, 13.31%, see rank | 13.55% | 12.38% |
8 Rooms | 400, 9.54%, see rank | 9.29% | 8.59% |
9 Rooms or More | 477, 11.38%, see rank | 11.61% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48768 Zip Code | Michigan | U.S. |
Total Housing Units | 3,843, 100% | 4,234,279 | 115,904,641 |
1 Room | 7, 0.18%, see rank | 1.18% | 2.20% |
2 Rooms | 58, 1.51%, see rank | 3.20% | 4.81% |
3 Rooms | 145, 3.77%, see rank | 7.87% | 9.84% |
4 Rooms | 500, 13.01%, see rank | 14.15% | 15.97% |
5 Rooms | 839, 21.83%, see rank | 22.63% | 20.89% |
6 Rooms | 1,062, 27.63%, see rank | 20.84% | 18.45% |
7 Rooms | 630, 16.39%, see rank | 13.27% | 12.06% |
8 Rooms | 283, 7.36%, see rank | 8.62% | 8.06% |
9 Rooms or More | 319, 8.30%, see rank | 8.24% | 7.70% |
Median Rooms | 5.90, 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.