49727 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49727 Zip Code | Michigan | U.S. |
Total Housing Units | 4,203, 100% | 4,532,719 | 132,741,033 |
1 Room | 91, 2.17%, see rank | 1.24% | 1.95% |
2 Rooms | 137, 3.26%, see rank | 1.78% | 2.48% |
3 Rooms | 318, 7.57%, see rank | 7.14% | 9.13% |
4 Rooms | 711, 16.92%, see rank | 14.38% | 16.60% |
5 Rooms | 912, 21.70%, see rank | 21.00% | 20.41% |
6 Rooms | 816, 19.41%, see rank | 20.07% | 18.06% |
7 Rooms | 475, 11.30%, see rank | 13.45% | 12.27% |
8 Rooms | 379, 9.02%, see rank | 9.27% | 8.48% |
9 Rooms or More | 364, 8.66%, see rank | 11.67% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49727 Zip Code | Michigan | U.S. |
Total Housing Units | 4,300, 100% | 4,531,958 | 131,642,457 |
1 Room | 72, 1.67%, see rank | 1.23% | 1.95% |
2 Rooms | 99, 2.30%, see rank | 1.68% | 2.36% |
3 Rooms | 269, 6.26%, see rank | 6.94% | 8.97% |
4 Rooms | 827, 19.23%, see rank | 14.40% | 16.57% |
5 Rooms | 851, 19.79%, see rank | 21.17% | 20.41% |
6 Rooms | 853, 19.84%, see rank | 20.13% | 18.25% |
7 Rooms | 509, 11.84%, see rank | 13.55% | 12.38% |
8 Rooms | 416, 9.67%, see rank | 9.29% | 8.59% |
9 Rooms or More | 404, 9.40%, see rank | 11.61% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49727 Zip Code | Michigan | U.S. |
Total Housing Units | 3,684, 100% | 4,234,279 | 115,904,641 |
1 Room | 33, 0.90%, see rank | 1.18% | 2.20% |
2 Rooms | 97, 2.63%, see rank | 3.20% | 4.81% |
3 Rooms | 258, 7.00%, see rank | 7.87% | 9.84% |
4 Rooms | 572, 15.53%, see rank | 14.15% | 15.97% |
5 Rooms | 827, 22.45%, see rank | 22.63% | 20.89% |
6 Rooms | 794, 21.55%, see rank | 20.84% | 18.45% |
7 Rooms | 537, 14.58%, see rank | 13.27% | 12.06% |
8 Rooms | 292, 7.93%, see rank | 8.62% | 8.06% |
9 Rooms or More | 274, 7.44%, see rank | 8.24% | 7.70% |
Median Rooms | 5.60, 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.