49746 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49746 Zip Code | Michigan | U.S. |
Total Housing Units | 2,806, 100% | 4,532,719 | 132,741,033 |
1 Room | 105, 3.74%, see rank | 1.24% | 1.95% |
2 Rooms | 104, 3.71%, see rank | 1.78% | 2.48% |
3 Rooms | 272, 9.69%, see rank | 7.14% | 9.13% |
4 Rooms | 662, 23.59%, see rank | 14.38% | 16.60% |
5 Rooms | 547, 19.49%, see rank | 21.00% | 20.41% |
6 Rooms | 469, 16.71%, see rank | 20.07% | 18.06% |
7 Rooms | 303, 10.80%, see rank | 13.45% | 12.27% |
8 Rooms | 156, 5.56%, see rank | 9.27% | 8.48% |
9 Rooms or More | 188, 6.70%, see rank | 11.67% | 10.60% |
Median Rooms | 5.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49746 Zip Code | Michigan | U.S. |
Total Housing Units | 2,750, 100% | 4,531,958 | 131,642,457 |
1 Room | 81, 2.95%, see rank | 1.23% | 1.95% |
2 Rooms | 110, 4.00%, see rank | 1.68% | 2.36% |
3 Rooms | 271, 9.85%, see rank | 6.94% | 8.97% |
4 Rooms | 543, 19.75%, see rank | 14.40% | 16.57% |
5 Rooms | 602, 21.89%, see rank | 21.17% | 20.41% |
6 Rooms | 478, 17.38%, see rank | 20.13% | 18.25% |
7 Rooms | 352, 12.80%, see rank | 13.55% | 12.38% |
8 Rooms | 192, 6.98%, see rank | 9.29% | 8.59% |
9 Rooms or More | 121, 4.40%, see rank | 11.61% | 10.52% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49746 Zip Code | Michigan | U.S. |
Total Housing Units | 2,652, 100% | 4,234,279 | 115,904,641 |
1 Room | 53, 2.00%, see rank | 1.18% | 2.20% |
2 Rooms | 65, 2.45%, see rank | 3.20% | 4.81% |
3 Rooms | 194, 7.32%, see rank | 7.87% | 9.84% |
4 Rooms | 636, 23.98%, see rank | 14.15% | 15.97% |
5 Rooms | 658, 24.81%, see rank | 22.63% | 20.89% |
6 Rooms | 457, 17.23%, see rank | 20.84% | 18.45% |
7 Rooms | 314, 11.84%, see rank | 13.27% | 12.06% |
8 Rooms | 164, 6.18%, see rank | 8.62% | 8.06% |
9 Rooms or More | 111, 4.19%, see rank | 8.24% | 7.70% |
Median Rooms | 5.10, 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.