49404 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49404 Zip Code | Michigan | U.S. |
Total Housing Units | 3,363, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 53, 1.58%, see rank | 1.78% | 2.48% |
3 Rooms | 200, 5.95%, see rank | 7.14% | 9.13% |
4 Rooms | 346, 10.29%, see rank | 14.38% | 16.60% |
5 Rooms | 605, 17.99%, see rank | 21.00% | 20.41% |
6 Rooms | 637, 18.94%, see rank | 20.07% | 18.06% |
7 Rooms | 586, 17.42%, see rank | 13.45% | 12.27% |
8 Rooms | 312, 9.28%, see rank | 9.27% | 8.48% |
9 Rooms or More | 624, 18.55%, see rank | 11.67% | 10.60% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49404 Zip Code | Michigan | U.S. |
Total Housing Units | 3,258, 100% | 4,531,958 | 131,642,457 |
1 Room | 38, 1.17%, see rank | 1.23% | 1.95% |
2 Rooms | 43, 1.32%, see rank | 1.68% | 2.36% |
3 Rooms | 153, 4.70%, see rank | 6.94% | 8.97% |
4 Rooms | 335, 10.28%, see rank | 14.40% | 16.57% |
5 Rooms | 436, 13.38%, see rank | 21.17% | 20.41% |
6 Rooms | 567, 17.40%, see rank | 20.13% | 18.25% |
7 Rooms | 793, 24.34%, see rank | 13.55% | 12.38% |
8 Rooms | 334, 10.25%, see rank | 9.29% | 8.59% |
9 Rooms or More | 559, 17.16%, see rank | 11.61% | 10.52% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49404 Zip Code | Michigan | U.S. |
Total Housing Units | 2,888, 100% | 4,234,279 | 115,904,641 |
1 Room | 6, 0.21%, see rank | 1.18% | 2.20% |
2 Rooms | 37, 1.28%, see rank | 3.20% | 4.81% |
3 Rooms | 177, 6.13%, see rank | 7.87% | 9.84% |
4 Rooms | 354, 12.26%, see rank | 14.15% | 15.97% |
5 Rooms | 659, 22.82%, see rank | 22.63% | 20.89% |
6 Rooms | 585, 20.26%, see rank | 20.84% | 18.45% |
7 Rooms | 461, 15.96%, see rank | 13.27% | 12.06% |
8 Rooms | 322, 11.15%, see rank | 8.62% | 8.06% |
9 Rooms or More | 287, 9.94%, 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.