49953 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49953 Zip Code | Michigan | U.S. |
Total Housing Units | 2,134, 100% | 4,532,719 | 132,741,033 |
1 Room | 39, 1.83%, see rank | 1.24% | 1.95% |
2 Rooms | 114, 5.34%, see rank | 1.78% | 2.48% |
3 Rooms | 233, 10.92%, see rank | 7.14% | 9.13% |
4 Rooms | 387, 18.13%, see rank | 14.38% | 16.60% |
5 Rooms | 463, 21.70%, see rank | 21.00% | 20.41% |
6 Rooms | 371, 17.39%, see rank | 20.07% | 18.06% |
7 Rooms | 197, 9.23%, see rank | 13.45% | 12.27% |
8 Rooms | 206, 9.65%, see rank | 9.27% | 8.48% |
9 Rooms or More | 124, 5.81%, see rank | 11.67% | 10.60% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49953 Zip Code | Michigan | U.S. |
Total Housing Units | 2,029, 100% | 4,531,958 | 131,642,457 |
1 Room | 45, 2.22%, see rank | 1.23% | 1.95% |
2 Rooms | 151, 7.44%, see rank | 1.68% | 2.36% |
3 Rooms | 223, 10.99%, see rank | 6.94% | 8.97% |
4 Rooms | 272, 13.41%, see rank | 14.40% | 16.57% |
5 Rooms | 457, 22.52%, see rank | 21.17% | 20.41% |
6 Rooms | 333, 16.41%, see rank | 20.13% | 18.25% |
7 Rooms | 230, 11.34%, see rank | 13.55% | 12.38% |
8 Rooms | 166, 8.18%, see rank | 9.29% | 8.59% |
9 Rooms or More | 152, 7.49%, see rank | 11.61% | 10.52% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49953 Zip Code | Michigan | U.S. |
Total Housing Units | 1,951, 100% | 4,234,279 | 115,904,641 |
1 Room | 50, 2.56%, see rank | 1.18% | 2.20% |
2 Rooms | 97, 4.97%, see rank | 3.20% | 4.81% |
3 Rooms | 211, 10.81%, see rank | 7.87% | 9.84% |
4 Rooms | 347, 17.79%, see rank | 14.15% | 15.97% |
5 Rooms | 396, 20.30%, see rank | 22.63% | 20.89% |
6 Rooms | 342, 17.53%, see rank | 20.84% | 18.45% |
7 Rooms | 257, 13.17%, see rank | 13.27% | 12.06% |
8 Rooms | 127, 6.51%, see rank | 8.62% | 8.06% |
9 Rooms or More | 124, 6.36%, see rank | 8.24% | 7.70% |
Median Rooms | 5.20, 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.