48062 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48062 Zip Code | Michigan | U.S. |
Total Housing Units | 3,858, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 32, 0.83%, see rank | 1.78% | 2.48% |
3 Rooms | 305, 7.91%, see rank | 7.14% | 9.13% |
4 Rooms | 579, 15.01%, see rank | 14.38% | 16.60% |
5 Rooms | 761, 19.73%, see rank | 21.00% | 20.41% |
6 Rooms | 845, 21.90%, see rank | 20.07% | 18.06% |
7 Rooms | 573, 14.85%, see rank | 13.45% | 12.27% |
8 Rooms | 430, 11.15%, see rank | 9.27% | 8.48% |
9 Rooms or More | 333, 8.63%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48062 Zip Code | Michigan | U.S. |
Total Housing Units | 3,821, 100% | 4,531,958 | 131,642,457 |
1 Room | 15, 0.39%, see rank | 1.23% | 1.95% |
2 Rooms | 46, 1.20%, see rank | 1.68% | 2.36% |
3 Rooms | 231, 6.05%, see rank | 6.94% | 8.97% |
4 Rooms | 568, 14.87%, see rank | 14.40% | 16.57% |
5 Rooms | 660, 17.27%, see rank | 21.17% | 20.41% |
6 Rooms | 776, 20.31%, see rank | 20.13% | 18.25% |
7 Rooms | 689, 18.03%, see rank | 13.55% | 12.38% |
8 Rooms | 405, 10.60%, see rank | 9.29% | 8.59% |
9 Rooms or More | 431, 11.28%, see rank | 11.61% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48062 Zip Code | Michigan | U.S. |
Total Housing Units | 3,131, 100% | 4,234,279 | 115,904,641 |
1 Room | 12, 0.38%, see rank | 1.18% | 2.20% |
2 Rooms | 45, 1.44%, see rank | 3.20% | 4.81% |
3 Rooms | 184, 5.88%, see rank | 7.87% | 9.84% |
4 Rooms | 457, 14.60%, see rank | 14.15% | 15.97% |
5 Rooms | 691, 22.07%, see rank | 22.63% | 20.89% |
6 Rooms | 611, 19.51%, see rank | 20.84% | 18.45% |
7 Rooms | 571, 18.24%, see rank | 13.27% | 12.06% |
8 Rooms | 293, 9.36%, see rank | 8.62% | 8.06% |
9 Rooms or More | 267, 8.53%, 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.