49304 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49304 Zip Code | Michigan | U.S. |
Total Housing Units | 6,367, 100% | 4,532,719 | 132,741,033 |
1 Room | 221, 3.47%, see rank | 1.24% | 1.95% |
2 Rooms | 455, 7.15%, see rank | 1.78% | 2.48% |
3 Rooms | 786, 12.34%, see rank | 7.14% | 9.13% |
4 Rooms | 2,994, 47.02%, see rank | 14.38% | 16.60% |
5 Rooms | 1,021, 16.04%, see rank | 21.00% | 20.41% |
6 Rooms | 428, 6.72%, see rank | 20.07% | 18.06% |
7 Rooms | 207, 3.25%, see rank | 13.45% | 12.27% |
8 Rooms | 106, 1.66%, see rank | 9.27% | 8.48% |
9 Rooms or More | 149, 2.34%, see rank | 11.67% | 10.60% |
Median Rooms | 4.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49304 Zip Code | Michigan | U.S. |
Total Housing Units | 6,353, 100% | 4,531,958 | 131,642,457 |
1 Room | 287, 4.52%, see rank | 1.23% | 1.95% |
2 Rooms | 377, 5.93%, see rank | 1.68% | 2.36% |
3 Rooms | 672, 10.58%, see rank | 6.94% | 8.97% |
4 Rooms | 3,342, 52.61%, see rank | 14.40% | 16.57% |
5 Rooms | 942, 14.83%, see rank | 21.17% | 20.41% |
6 Rooms | 340, 5.35%, see rank | 20.13% | 18.25% |
7 Rooms | 176, 2.77%, see rank | 13.55% | 12.38% |
8 Rooms | 114, 1.79%, see rank | 9.29% | 8.59% |
9 Rooms or More | 103, 1.62%, see rank | 11.61% | 10.52% |
Median Rooms | 4.10, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49304 Zip Code | Michigan | U.S. |
Total Housing Units | 5,992, 100% | 4,234,279 | 115,904,641 |
1 Room | 117, 1.95%, see rank | 1.18% | 2.20% |
2 Rooms | 256, 4.27%, see rank | 3.20% | 4.81% |
3 Rooms | 811, 13.53%, see rank | 7.87% | 9.84% |
4 Rooms | 1,905, 31.79%, see rank | 14.15% | 15.97% |
5 Rooms | 1,493, 24.92%, see rank | 22.63% | 20.89% |
6 Rooms | 745, 12.43%, see rank | 20.84% | 18.45% |
7 Rooms | 359, 5.99%, see rank | 13.27% | 12.06% |
8 Rooms | 188, 3.14%, see rank | 8.62% | 8.06% |
9 Rooms or More | 118, 1.97%, see rank | 8.24% | 7.70% |
Median Rooms | 4.50, 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.