49453 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49453 Zip Code | Michigan | U.S. |
Total Housing Units | 1,611, 100% | 4,532,719 | 132,741,033 |
1 Room | 25, 1.55%, see rank | 1.24% | 1.95% |
2 Rooms | 46, 2.86%, see rank | 1.78% | 2.48% |
3 Rooms | 163, 10.12%, see rank | 7.14% | 9.13% |
4 Rooms | 181, 11.24%, see rank | 14.38% | 16.60% |
5 Rooms | 301, 18.68%, see rank | 21.00% | 20.41% |
6 Rooms | 271, 16.82%, see rank | 20.07% | 18.06% |
7 Rooms | 139, 8.63%, see rank | 13.45% | 12.27% |
8 Rooms | 193, 11.98%, see rank | 9.27% | 8.48% |
9 Rooms or More | 292, 18.13%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49453 Zip Code | Michigan | U.S. |
Total Housing Units | 1,723, 100% | 4,531,958 | 131,642,457 |
1 Room | 25, 1.45%, see rank | 1.23% | 1.95% |
2 Rooms | 22, 1.28%, see rank | 1.68% | 2.36% |
3 Rooms | 184, 10.68%, see rank | 6.94% | 8.97% |
4 Rooms | 220, 12.77%, see rank | 14.40% | 16.57% |
5 Rooms | 286, 16.60%, see rank | 21.17% | 20.41% |
6 Rooms | 255, 14.80%, see rank | 20.13% | 18.25% |
7 Rooms | 178, 10.33%, see rank | 13.55% | 12.38% |
8 Rooms | 230, 13.35%, see rank | 9.29% | 8.59% |
9 Rooms or More | 323, 18.75%, see rank | 11.61% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49453 Zip Code | Michigan | U.S. |
Total Housing Units | 1,710, 100% | 4,234,279 | 115,904,641 |
1 Room | 8, 0.47%, see rank | 1.18% | 2.20% |
2 Rooms | 83, 4.85%, see rank | 3.20% | 4.81% |
3 Rooms | 119, 6.96%, see rank | 7.87% | 9.84% |
4 Rooms | 300, 17.54%, see rank | 14.15% | 15.97% |
5 Rooms | 375, 21.93%, see rank | 22.63% | 20.89% |
6 Rooms | 320, 18.71%, see rank | 20.84% | 18.45% |
7 Rooms | 214, 12.51%, see rank | 13.27% | 12.06% |
8 Rooms | 199, 11.64%, see rank | 8.62% | 8.06% |
9 Rooms or More | 92, 5.38%, see rank | 8.24% | 7.70% |
Median Rooms | 5.40, 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.