48734 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 48734 Zip Code | Michigan | U.S. |
Total Housing Units | 3,487, 100% | 4,532,719 | 132,741,033 |
1 Room | 67, 1.92%, see rank | 1.24% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.78% | 2.48% |
3 Rooms | 178, 5.10%, see rank | 7.14% | 9.13% |
4 Rooms | 448, 12.85%, see rank | 14.38% | 16.60% |
5 Rooms | 532, 15.26%, see rank | 21.00% | 20.41% |
6 Rooms | 673, 19.30%, see rank | 20.07% | 18.06% |
7 Rooms | 507, 14.54%, see rank | 13.45% | 12.27% |
8 Rooms | 443, 12.70%, see rank | 9.27% | 8.48% |
9 Rooms or More | 639, 18.33%, see rank | 11.67% | 10.60% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 48734 Zip Code | Michigan | U.S. |
Total Housing Units | 3,294, 100% | 4,531,958 | 131,642,457 |
1 Room | 30, 0.91%, see rank | 1.23% | 1.95% |
2 Rooms | 17, 0.52%, see rank | 1.68% | 2.36% |
3 Rooms | 227, 6.89%, see rank | 6.94% | 8.97% |
4 Rooms | 329, 9.99%, see rank | 14.40% | 16.57% |
5 Rooms | 464, 14.09%, see rank | 21.17% | 20.41% |
6 Rooms | 485, 14.72%, see rank | 20.13% | 18.25% |
7 Rooms | 721, 21.89%, see rank | 13.55% | 12.38% |
8 Rooms | 464, 14.09%, see rank | 9.29% | 8.59% |
9 Rooms or More | 557, 16.91%, see rank | 11.61% | 10.52% |
Median Rooms | 6.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 48734 Zip Code | Michigan | U.S. |
Total Housing Units | 3,136, 100% | 4,234,279 | 115,904,641 |
1 Room | 14, 0.45%, see rank | 1.18% | 2.20% |
2 Rooms | 55, 1.75%, see rank | 3.20% | 4.81% |
3 Rooms | 308, 9.82%, see rank | 7.87% | 9.84% |
4 Rooms | 337, 10.75%, see rank | 14.15% | 15.97% |
5 Rooms | 498, 15.88%, see rank | 22.63% | 20.89% |
6 Rooms | 628, 20.03%, see rank | 20.84% | 18.45% |
7 Rooms | 610, 19.45%, see rank | 13.27% | 12.06% |
8 Rooms | 362, 11.54%, see rank | 8.62% | 8.06% |
9 Rooms or More | 324, 10.33%, see rank | 8.24% | 7.70% |
Median Rooms | 6.10, 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.