49057 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49057 Zip Code | Michigan | U.S. |
Total Housing Units | 2,772, 100% | 4,532,719 | 132,741,033 |
1 Room | 16, 0.58%, see rank | 1.24% | 1.95% |
2 Rooms | 29, 1.05%, see rank | 1.78% | 2.48% |
3 Rooms | 237, 8.55%, see rank | 7.14% | 9.13% |
4 Rooms | 409, 14.75%, see rank | 14.38% | 16.60% |
5 Rooms | 591, 21.32%, see rank | 21.00% | 20.41% |
6 Rooms | 524, 18.90%, see rank | 20.07% | 18.06% |
7 Rooms | 530, 19.12%, see rank | 13.45% | 12.27% |
8 Rooms | 155, 5.59%, see rank | 9.27% | 8.48% |
9 Rooms or More | 281, 10.14%, see rank | 11.67% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49057 Zip Code | Michigan | U.S. |
Total Housing Units | 2,650, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 25, 0.94%, see rank | 1.68% | 2.36% |
3 Rooms | 158, 5.96%, see rank | 6.94% | 8.97% |
4 Rooms | 469, 17.70%, see rank | 14.40% | 16.57% |
5 Rooms | 686, 25.89%, see rank | 21.17% | 20.41% |
6 Rooms | 491, 18.53%, see rank | 20.13% | 18.25% |
7 Rooms | 356, 13.43%, see rank | 13.55% | 12.38% |
8 Rooms | 189, 7.13%, see rank | 9.29% | 8.59% |
9 Rooms or More | 276, 10.42%, see rank | 11.61% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49057 Zip Code | Michigan | U.S. |
Total Housing Units | 2,566, 100% | 4,234,279 | 115,904,641 |
1 Room | 14, 0.55%, see rank | 1.18% | 2.20% |
2 Rooms | 93, 3.62%, see rank | 3.20% | 4.81% |
3 Rooms | 189, 7.37%, see rank | 7.87% | 9.84% |
4 Rooms | 441, 17.19%, see rank | 14.15% | 15.97% |
5 Rooms | 683, 26.62%, see rank | 22.63% | 20.89% |
6 Rooms | 460, 17.93%, see rank | 20.84% | 18.45% |
7 Rooms | 326, 12.70%, see rank | 13.27% | 12.06% |
8 Rooms | 199, 7.76%, see rank | 8.62% | 8.06% |
9 Rooms or More | 161, 6.27%, 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.