48467 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48467 Zip Code | Michigan | U.S. |
Total Housing Units | 2,951, 100% | 4,532,719 | 132,741,033 |
1 Room | 108, 3.66%, see rank | 1.24% | 1.95% |
2 Rooms | 30, 1.02%, see rank | 1.78% | 2.48% |
3 Rooms | 240, 8.13%, see rank | 7.14% | 9.13% |
4 Rooms | 437, 14.81%, see rank | 14.38% | 16.60% |
5 Rooms | 666, 22.57%, see rank | 21.00% | 20.41% |
6 Rooms | 508, 17.21%, see rank | 20.07% | 18.06% |
7 Rooms | 422, 14.30%, see rank | 13.45% | 12.27% |
8 Rooms | 296, 10.03%, see rank | 9.27% | 8.48% |
9 Rooms or More | 244, 8.27%, see rank | 11.67% | 10.60% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48467 Zip Code | Michigan | U.S. |
Total Housing Units | 2,942, 100% | 4,531,958 | 131,642,457 |
1 Room | 76, 2.58%, see rank | 1.23% | 1.95% |
2 Rooms | 10, 0.34%, see rank | 1.68% | 2.36% |
3 Rooms | 193, 6.56%, see rank | 6.94% | 8.97% |
4 Rooms | 472, 16.04%, see rank | 14.40% | 16.57% |
5 Rooms | 689, 23.42%, see rank | 21.17% | 20.41% |
6 Rooms | 565, 19.20%, see rank | 20.13% | 18.25% |
7 Rooms | 435, 14.79%, see rank | 13.55% | 12.38% |
8 Rooms | 280, 9.52%, see rank | 9.29% | 8.59% |
9 Rooms or More | 222, 7.55%, see rank | 11.61% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48467 Zip Code | Michigan | U.S. |
Total Housing Units | 2,831, 100% | 4,234,279 | 115,904,641 |
1 Room | 59, 2.08%, see rank | 1.18% | 2.20% |
2 Rooms | 65, 2.30%, see rank | 3.20% | 4.81% |
3 Rooms | 213, 7.52%, see rank | 7.87% | 9.84% |
4 Rooms | 692, 24.44%, see rank | 14.15% | 15.97% |
5 Rooms | 731, 25.82%, see rank | 22.63% | 20.89% |
6 Rooms | 475, 16.78%, see rank | 20.84% | 18.45% |
7 Rooms | 305, 10.77%, see rank | 13.27% | 12.06% |
8 Rooms | 170, 6.00%, see rank | 8.62% | 8.06% |
9 Rooms or More | 121, 4.27%, see rank | 8.24% | 7.70% |
Median Rooms | 5.00, 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.