48422 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48422 Zip Code | Michigan | U.S. |
Total Housing Units | 2,931, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 31, 1.06%, see rank | 1.78% | 2.48% |
3 Rooms | 122, 4.16%, see rank | 7.14% | 9.13% |
4 Rooms | 455, 15.52%, see rank | 14.38% | 16.60% |
5 Rooms | 668, 22.79%, see rank | 21.00% | 20.41% |
6 Rooms | 524, 17.88%, see rank | 20.07% | 18.06% |
7 Rooms | 505, 17.23%, see rank | 13.45% | 12.27% |
8 Rooms | 308, 10.51%, see rank | 9.27% | 8.48% |
9 Rooms or More | 318, 10.85%, see rank | 11.67% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48422 Zip Code | Michigan | U.S. |
Total Housing Units | 2,856, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 51, 1.79%, see rank | 1.68% | 2.36% |
3 Rooms | 151, 5.29%, see rank | 6.94% | 8.97% |
4 Rooms | 359, 12.57%, see rank | 14.40% | 16.57% |
5 Rooms | 546, 19.12%, see rank | 21.17% | 20.41% |
6 Rooms | 540, 18.91%, see rank | 20.13% | 18.25% |
7 Rooms | 596, 20.87%, see rank | 13.55% | 12.38% |
8 Rooms | 274, 9.59%, see rank | 9.29% | 8.59% |
9 Rooms or More | 339, 11.87%, see rank | 11.61% | 10.52% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48422 Zip Code | Michigan | U.S. |
Total Housing Units | 2,521, 100% | 4,234,279 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.18% | 2.20% |
2 Rooms | 58, 2.30%, see rank | 3.20% | 4.81% |
3 Rooms | 111, 4.40%, see rank | 7.87% | 9.84% |
4 Rooms | 344, 13.65%, see rank | 14.15% | 15.97% |
5 Rooms | 543, 21.54%, see rank | 22.63% | 20.89% |
6 Rooms | 554, 21.98%, see rank | 20.84% | 18.45% |
7 Rooms | 383, 15.19%, see rank | 13.27% | 12.06% |
8 Rooms | 256, 10.15%, see rank | 8.62% | 8.06% |
9 Rooms or More | 272, 10.79%, 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.