49765 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49765 Zip Code | Michigan | U.S. |
Total Housing Units | 2,896, 100% | 4,532,719 | 132,741,033 |
1 Room | 63, 2.18%, see rank | 1.24% | 1.95% |
2 Rooms | 104, 3.59%, see rank | 1.78% | 2.48% |
3 Rooms | 231, 7.98%, see rank | 7.14% | 9.13% |
4 Rooms | 645, 22.27%, see rank | 14.38% | 16.60% |
5 Rooms | 591, 20.41%, see rank | 21.00% | 20.41% |
6 Rooms | 593, 20.48%, see rank | 20.07% | 18.06% |
7 Rooms | 337, 11.64%, see rank | 13.45% | 12.27% |
8 Rooms | 157, 5.42%, see rank | 9.27% | 8.48% |
9 Rooms or More | 175, 6.04%, see rank | 11.67% | 10.60% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49765 Zip Code | Michigan | U.S. |
Total Housing Units | 2,953, 100% | 4,531,958 | 131,642,457 |
1 Room | 46, 1.56%, see rank | 1.23% | 1.95% |
2 Rooms | 143, 4.84%, see rank | 1.68% | 2.36% |
3 Rooms | 308, 10.43%, see rank | 6.94% | 8.97% |
4 Rooms | 581, 19.67%, see rank | 14.40% | 16.57% |
5 Rooms | 659, 22.32%, see rank | 21.17% | 20.41% |
6 Rooms | 555, 18.79%, see rank | 20.13% | 18.25% |
7 Rooms | 315, 10.67%, see rank | 13.55% | 12.38% |
8 Rooms | 163, 5.52%, see rank | 9.29% | 8.59% |
9 Rooms or More | 183, 6.20%, see rank | 11.61% | 10.52% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49765 Zip Code | Michigan | U.S. |
Total Housing Units | 2,909, 100% | 4,234,279 | 115,904,641 |
1 Room | 38, 1.31%, see rank | 1.18% | 2.20% |
2 Rooms | 123, 4.23%, see rank | 3.20% | 4.81% |
3 Rooms | 346, 11.89%, see rank | 7.87% | 9.84% |
4 Rooms | 620, 21.31%, see rank | 14.15% | 15.97% |
5 Rooms | 665, 22.86%, see rank | 22.63% | 20.89% |
6 Rooms | 538, 18.49%, see rank | 20.84% | 18.45% |
7 Rooms | 272, 9.35%, see rank | 13.27% | 12.06% |
8 Rooms | 168, 5.78%, see rank | 8.62% | 8.06% |
9 Rooms or More | 139, 4.78%, see rank | 8.24% | 7.70% |
Median Rooms | 5.00, 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.