48509 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48509 Zip Code | Michigan | U.S. |
Total Housing Units | 3,995, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 6, 0.15%, see rank | 1.78% | 2.48% |
3 Rooms | 62, 1.55%, see rank | 7.14% | 9.13% |
4 Rooms | 304, 7.61%, see rank | 14.38% | 16.60% |
5 Rooms | 861, 21.55%, see rank | 21.00% | 20.41% |
6 Rooms | 1,196, 29.94%, see rank | 20.07% | 18.06% |
7 Rooms | 685, 17.15%, see rank | 13.45% | 12.27% |
8 Rooms | 445, 11.14%, see rank | 9.27% | 8.48% |
9 Rooms or More | 436, 10.91%, see rank | 11.67% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48509 Zip Code | Michigan | U.S. |
Total Housing Units | 4,255, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.68% | 2.36% |
3 Rooms | 80, 1.88%, see rank | 6.94% | 8.97% |
4 Rooms | 418, 9.82%, see rank | 14.40% | 16.57% |
5 Rooms | 1,145, 26.91%, see rank | 21.17% | 20.41% |
6 Rooms | 1,243, 29.21%, see rank | 20.13% | 18.25% |
7 Rooms | 594, 13.96%, see rank | 13.55% | 12.38% |
8 Rooms | 412, 9.68%, see rank | 9.29% | 8.59% |
9 Rooms or More | 363, 8.53%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48509 Zip Code | Michigan | U.S. |
Total Housing Units | 3,959, 100% | 4,234,279 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.18% | 2.20% |
2 Rooms | 26, 0.66%, see rank | 3.20% | 4.81% |
3 Rooms | 130, 3.28%, see rank | 7.87% | 9.84% |
4 Rooms | 403, 10.18%, see rank | 14.15% | 15.97% |
5 Rooms | 968, 24.45%, see rank | 22.63% | 20.89% |
6 Rooms | 1,264, 31.93%, see rank | 20.84% | 18.45% |
7 Rooms | 641, 16.19%, see rank | 13.27% | 12.06% |
8 Rooms | 303, 7.65%, see rank | 8.62% | 8.06% |
9 Rooms or More | 224, 5.66%, see rank | 8.24% | 7.70% |
Median Rooms | 5.90, 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.