48001 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48001 Zip Code | Michigan | U.S. |
Total Housing Units | 6,212, 100% | 4,532,719 | 132,741,033 |
1 Room | 31, 0.50%, see rank | 1.24% | 1.95% |
2 Rooms | 89, 1.43%, see rank | 1.78% | 2.48% |
3 Rooms | 323, 5.20%, see rank | 7.14% | 9.13% |
4 Rooms | 803, 12.93%, see rank | 14.38% | 16.60% |
5 Rooms | 1,435, 23.10%, see rank | 21.00% | 20.41% |
6 Rooms | 1,478, 23.79%, see rank | 20.07% | 18.06% |
7 Rooms | 857, 13.80%, see rank | 13.45% | 12.27% |
8 Rooms | 703, 11.32%, see rank | 9.27% | 8.48% |
9 Rooms or More | 493, 7.94%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48001 Zip Code | Michigan | U.S. |
Total Housing Units | 6,059, 100% | 4,531,958 | 131,642,457 |
1 Room | 36, 0.59%, see rank | 1.23% | 1.95% |
2 Rooms | 26, 0.43%, see rank | 1.68% | 2.36% |
3 Rooms | 289, 4.77%, see rank | 6.94% | 8.97% |
4 Rooms | 711, 11.73%, see rank | 14.40% | 16.57% |
5 Rooms | 1,402, 23.14%, see rank | 21.17% | 20.41% |
6 Rooms | 1,565, 25.83%, see rank | 20.13% | 18.25% |
7 Rooms | 806, 13.30%, see rank | 13.55% | 12.38% |
8 Rooms | 725, 11.97%, see rank | 9.29% | 8.59% |
9 Rooms or More | 499, 8.24%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48001 Zip Code | Michigan | U.S. |
Total Housing Units | 5,896, 100% | 4,234,279 | 115,904,641 |
1 Room | 29, 0.49%, see rank | 1.18% | 2.20% |
2 Rooms | 70, 1.19%, see rank | 3.20% | 4.81% |
3 Rooms | 378, 6.41%, see rank | 7.87% | 9.84% |
4 Rooms | 654, 11.09%, see rank | 14.15% | 15.97% |
5 Rooms | 1,574, 26.70%, see rank | 22.63% | 20.89% |
6 Rooms | 1,500, 25.44%, see rank | 20.84% | 18.45% |
7 Rooms | 905, 15.35%, see rank | 13.27% | 12.06% |
8 Rooms | 439, 7.45%, see rank | 8.62% | 8.06% |
9 Rooms or More | 347, 5.89%, 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.