48622 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48622 Zip Code | Michigan | U.S. |
Total Housing Units | 3,493, 100% | 4,532,719 | 132,741,033 |
1 Room | 63, 1.80%, see rank | 1.24% | 1.95% |
2 Rooms | 45, 1.29%, see rank | 1.78% | 2.48% |
3 Rooms | 229, 6.56%, see rank | 7.14% | 9.13% |
4 Rooms | 522, 14.94%, see rank | 14.38% | 16.60% |
5 Rooms | 931, 26.65%, see rank | 21.00% | 20.41% |
6 Rooms | 638, 18.27%, see rank | 20.07% | 18.06% |
7 Rooms | 428, 12.25%, see rank | 13.45% | 12.27% |
8 Rooms | 283, 8.10%, see rank | 9.27% | 8.48% |
9 Rooms or More | 354, 10.13%, see rank | 11.67% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48622 Zip Code | Michigan | U.S. |
Total Housing Units | 3,500, 100% | 4,531,958 | 131,642,457 |
1 Room | 34, 0.97%, see rank | 1.23% | 1.95% |
2 Rooms | 83, 2.37%, see rank | 1.68% | 2.36% |
3 Rooms | 179, 5.11%, see rank | 6.94% | 8.97% |
4 Rooms | 568, 16.23%, see rank | 14.40% | 16.57% |
5 Rooms | 940, 26.86%, see rank | 21.17% | 20.41% |
6 Rooms | 697, 19.91%, see rank | 20.13% | 18.25% |
7 Rooms | 404, 11.54%, see rank | 13.55% | 12.38% |
8 Rooms | 267, 7.63%, see rank | 9.29% | 8.59% |
9 Rooms or More | 328, 9.37%, see rank | 11.61% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48622 Zip Code | Michigan | U.S. |
Total Housing Units | 3,177, 100% | 4,234,279 | 115,904,641 |
1 Room | 44, 1.38%, see rank | 1.18% | 2.20% |
2 Rooms | 130, 4.09%, see rank | 3.20% | 4.81% |
3 Rooms | 246, 7.74%, see rank | 7.87% | 9.84% |
4 Rooms | 511, 16.08%, see rank | 14.15% | 15.97% |
5 Rooms | 807, 25.40%, see rank | 22.63% | 20.89% |
6 Rooms | 679, 21.37%, see rank | 20.84% | 18.45% |
7 Rooms | 414, 13.03%, see rank | 13.27% | 12.06% |
8 Rooms | 183, 5.76%, see rank | 8.62% | 8.06% |
9 Rooms or More | 163, 5.13%, see rank | 8.24% | 7.70% |
Median Rooms | 5.30, 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.