49107 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49107 Zip Code | Michigan | U.S. |
Total Housing Units | 4,930, 100% | 4,532,719 | 132,741,033 |
1 Room | 57, 1.16%, see rank | 1.24% | 1.95% |
2 Rooms | 201, 4.08%, see rank | 1.78% | 2.48% |
3 Rooms | 298, 6.04%, see rank | 7.14% | 9.13% |
4 Rooms | 899, 18.24%, see rank | 14.38% | 16.60% |
5 Rooms | 911, 18.48%, see rank | 21.00% | 20.41% |
6 Rooms | 959, 19.45%, see rank | 20.07% | 18.06% |
7 Rooms | 629, 12.76%, see rank | 13.45% | 12.27% |
8 Rooms | 494, 10.02%, see rank | 9.27% | 8.48% |
9 Rooms or More | 482, 9.78%, see rank | 11.67% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49107 Zip Code | Michigan | U.S. |
Total Housing Units | 4,932, 100% | 4,531,958 | 131,642,457 |
1 Room | 94, 1.91%, see rank | 1.23% | 1.95% |
2 Rooms | 244, 4.95%, see rank | 1.68% | 2.36% |
3 Rooms | 306, 6.20%, see rank | 6.94% | 8.97% |
4 Rooms | 996, 20.19%, see rank | 14.40% | 16.57% |
5 Rooms | 792, 16.06%, see rank | 21.17% | 20.41% |
6 Rooms | 928, 18.82%, see rank | 20.13% | 18.25% |
7 Rooms | 722, 14.64%, see rank | 13.55% | 12.38% |
8 Rooms | 423, 8.58%, see rank | 9.29% | 8.59% |
9 Rooms or More | 427, 8.66%, see rank | 11.61% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49107 Zip Code | Michigan | U.S. |
Total Housing Units | 4,634, 100% | 4,234,279 | 115,904,641 |
1 Room | 40, 0.86%, see rank | 1.18% | 2.20% |
2 Rooms | 133, 2.87%, see rank | 3.20% | 4.81% |
3 Rooms | 316, 6.82%, see rank | 7.87% | 9.84% |
4 Rooms | 815, 17.59%, see rank | 14.15% | 15.97% |
5 Rooms | 877, 18.93%, see rank | 22.63% | 20.89% |
6 Rooms | 928, 20.03%, see rank | 20.84% | 18.45% |
7 Rooms | 681, 14.70%, see rank | 13.27% | 12.06% |
8 Rooms | 437, 9.43%, see rank | 8.62% | 8.06% |
9 Rooms or More | 407, 8.78%, see rank | 8.24% | 7.70% |
Median Rooms | 5.60, 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.