48739 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48739 Zip Code | Michigan | U.S. |
Total Housing Units | 4,288, 100% | 4,532,719 | 132,741,033 |
1 Room | 103, 2.40%, see rank | 1.24% | 1.95% |
2 Rooms | 181, 4.22%, see rank | 1.78% | 2.48% |
3 Rooms | 715, 16.67%, see rank | 7.14% | 9.13% |
4 Rooms | 796, 18.56%, see rank | 14.38% | 16.60% |
5 Rooms | 1,024, 23.88%, see rank | 21.00% | 20.41% |
6 Rooms | 655, 15.28%, see rank | 20.07% | 18.06% |
7 Rooms | 321, 7.49%, see rank | 13.45% | 12.27% |
8 Rooms | 319, 7.44%, see rank | 9.27% | 8.48% |
9 Rooms or More | 174, 4.06%, see rank | 11.67% | 10.60% |
Median Rooms | 4.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48739 Zip Code | Michigan | U.S. |
Total Housing Units | 4,228, 100% | 4,531,958 | 131,642,457 |
1 Room | 114, 2.70%, see rank | 1.23% | 1.95% |
2 Rooms | 95, 2.25%, see rank | 1.68% | 2.36% |
3 Rooms | 566, 13.39%, see rank | 6.94% | 8.97% |
4 Rooms | 688, 16.27%, see rank | 14.40% | 16.57% |
5 Rooms | 1,306, 30.89%, see rank | 21.17% | 20.41% |
6 Rooms | 655, 15.49%, see rank | 20.13% | 18.25% |
7 Rooms | 276, 6.53%, see rank | 13.55% | 12.38% |
8 Rooms | 264, 6.24%, see rank | 9.29% | 8.59% |
9 Rooms or More | 264, 6.24%, see rank | 11.61% | 10.52% |
Median Rooms | 5.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48739 Zip Code | Michigan | U.S. |
Total Housing Units | 4,415, 100% | 4,234,279 | 115,904,641 |
1 Room | 68, 1.54%, see rank | 1.18% | 2.20% |
2 Rooms | 163, 3.69%, see rank | 3.20% | 4.81% |
3 Rooms | 504, 11.42%, see rank | 7.87% | 9.84% |
4 Rooms | 1,403, 31.78%, see rank | 14.15% | 15.97% |
5 Rooms | 1,129, 25.57%, see rank | 22.63% | 20.89% |
6 Rooms | 676, 15.31%, see rank | 20.84% | 18.45% |
7 Rooms | 260, 5.89%, see rank | 13.27% | 12.06% |
8 Rooms | 147, 3.33%, see rank | 8.62% | 8.06% |
9 Rooms or More | 65, 1.47%, see rank | 8.24% | 7.70% |
Median Rooms | 4.60, 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.