49781 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49781 Zip Code | Michigan | U.S. |
Total Housing Units | 2,475, 100% | 4,532,719 | 132,741,033 |
1 Room | 83, 3.35%, see rank | 1.24% | 1.95% |
2 Rooms | 116, 4.69%, see rank | 1.78% | 2.48% |
3 Rooms | 192, 7.76%, see rank | 7.14% | 9.13% |
4 Rooms | 444, 17.94%, see rank | 14.38% | 16.60% |
5 Rooms | 531, 21.45%, see rank | 21.00% | 20.41% |
6 Rooms | 506, 20.44%, see rank | 20.07% | 18.06% |
7 Rooms | 264, 10.67%, see rank | 13.45% | 12.27% |
8 Rooms | 147, 5.94%, see rank | 9.27% | 8.48% |
9 Rooms or More | 192, 7.76%, see rank | 11.67% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49781 Zip Code | Michigan | U.S. |
Total Housing Units | 2,533, 100% | 4,531,958 | 131,642,457 |
1 Room | 41, 1.62%, see rank | 1.23% | 1.95% |
2 Rooms | 75, 2.96%, see rank | 1.68% | 2.36% |
3 Rooms | 226, 8.92%, see rank | 6.94% | 8.97% |
4 Rooms | 480, 18.95%, see rank | 14.40% | 16.57% |
5 Rooms | 495, 19.54%, see rank | 21.17% | 20.41% |
6 Rooms | 577, 22.78%, see rank | 20.13% | 18.25% |
7 Rooms | 260, 10.26%, see rank | 13.55% | 12.38% |
8 Rooms | 145, 5.72%, see rank | 9.29% | 8.59% |
9 Rooms or More | 234, 9.24%, see rank | 11.61% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49781 Zip Code | Michigan | U.S. |
Total Housing Units | 2,725, 100% | 4,234,279 | 115,904,641 |
1 Room | 38, 1.39%, see rank | 1.18% | 2.20% |
2 Rooms | 116, 4.26%, see rank | 3.20% | 4.81% |
3 Rooms | 349, 12.81%, see rank | 7.87% | 9.84% |
4 Rooms | 495, 18.17%, see rank | 14.15% | 15.97% |
5 Rooms | 634, 23.27%, see rank | 22.63% | 20.89% |
6 Rooms | 474, 17.39%, see rank | 20.84% | 18.45% |
7 Rooms | 331, 12.15%, see rank | 13.27% | 12.06% |
8 Rooms | 158, 5.80%, see rank | 8.62% | 8.06% |
9 Rooms or More | 130, 4.77%, 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.