48604 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48604 Zip Code | Michigan | U.S. |
Total Housing Units | 4,630, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 70, 1.51%, see rank | 1.78% | 2.48% |
3 Rooms | 84, 1.81%, see rank | 7.14% | 9.13% |
4 Rooms | 600, 12.96%, see rank | 14.38% | 16.60% |
5 Rooms | 1,053, 22.74%, see rank | 21.00% | 20.41% |
6 Rooms | 1,335, 28.83%, see rank | 20.07% | 18.06% |
7 Rooms | 659, 14.23%, see rank | 13.45% | 12.27% |
8 Rooms | 283, 6.11%, see rank | 9.27% | 8.48% |
9 Rooms or More | 546, 11.79%, see rank | 11.67% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48604 Zip Code | Michigan | U.S. |
Total Housing Units | 5,018, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 30, 0.60%, see rank | 1.68% | 2.36% |
3 Rooms | 191, 3.81%, see rank | 6.94% | 8.97% |
4 Rooms | 585, 11.66%, see rank | 14.40% | 16.57% |
5 Rooms | 1,201, 23.93%, see rank | 21.17% | 20.41% |
6 Rooms | 1,364, 27.18%, see rank | 20.13% | 18.25% |
7 Rooms | 659, 13.13%, see rank | 13.55% | 12.38% |
8 Rooms | 471, 9.39%, see rank | 9.29% | 8.59% |
9 Rooms or More | 517, 10.30%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48604 Zip Code | Michigan | U.S. |
Total Housing Units | 4,482, 100% | 4,234,279 | 115,904,641 |
1 Room | 13, 0.29%, see rank | 1.18% | 2.20% |
2 Rooms | 23, 0.51%, see rank | 3.20% | 4.81% |
3 Rooms | 309, 6.89%, see rank | 7.87% | 9.84% |
4 Rooms | 545, 12.16%, see rank | 14.15% | 15.97% |
5 Rooms | 1,292, 28.83%, see rank | 22.63% | 20.89% |
6 Rooms | 1,272, 28.38%, see rank | 20.84% | 18.45% |
7 Rooms | 505, 11.27%, see rank | 13.27% | 12.06% |
8 Rooms | 311, 6.94%, see rank | 8.62% | 8.06% |
9 Rooms or More | 212, 4.73%, see rank | 8.24% | 7.70% |
Median Rooms | 5.50, 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.