48817 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48817 Zip Code | Michigan | U.S. |
Total Housing Units | 2,619, 100% | 4,532,719 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.24% | 1.95% |
2 Rooms | 17, 0.65%, see rank | 1.78% | 2.48% |
3 Rooms | 198, 7.56%, see rank | 7.14% | 9.13% |
4 Rooms | 370, 14.13%, see rank | 14.38% | 16.60% |
5 Rooms | 503, 19.21%, see rank | 21.00% | 20.41% |
6 Rooms | 476, 18.17%, see rank | 20.07% | 18.06% |
7 Rooms | 424, 16.19%, see rank | 13.45% | 12.27% |
8 Rooms | 346, 13.21%, see rank | 9.27% | 8.48% |
9 Rooms or More | 285, 10.88%, see rank | 11.67% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48817 Zip Code | Michigan | U.S. |
Total Housing Units | 2,690, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 17, 0.63%, see rank | 1.68% | 2.36% |
3 Rooms | 166, 6.17%, see rank | 6.94% | 8.97% |
4 Rooms | 353, 13.12%, see rank | 14.40% | 16.57% |
5 Rooms | 596, 22.16%, see rank | 21.17% | 20.41% |
6 Rooms | 587, 21.82%, see rank | 20.13% | 18.25% |
7 Rooms | 422, 15.69%, see rank | 13.55% | 12.38% |
8 Rooms | 232, 8.62%, see rank | 9.29% | 8.59% |
9 Rooms or More | 317, 11.78%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48817 Zip Code | Michigan | U.S. |
Total Housing Units | 2,582, 100% | 4,234,279 | 115,904,641 |
1 Room | 31, 1.20%, see rank | 1.18% | 2.20% |
2 Rooms | 31, 1.20%, see rank | 3.20% | 4.81% |
3 Rooms | 167, 6.47%, see rank | 7.87% | 9.84% |
4 Rooms | 427, 16.54%, see rank | 14.15% | 15.97% |
5 Rooms | 584, 22.62%, see rank | 22.63% | 20.89% |
6 Rooms | 627, 24.28%, see rank | 20.84% | 18.45% |
7 Rooms | 319, 12.35%, see rank | 13.27% | 12.06% |
8 Rooms | 148, 5.73%, see rank | 8.62% | 8.06% |
9 Rooms or More | 248, 9.60%, 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.