49082 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49082 Zip Code | Michigan | U.S. |
Total Housing Units | 3,223, 100% | 4,532,719 | 132,741,033 |
1 Room | 10, 0.31%, see rank | 1.24% | 1.95% |
2 Rooms | 49, 1.52%, see rank | 1.78% | 2.48% |
3 Rooms | 148, 4.59%, see rank | 7.14% | 9.13% |
4 Rooms | 380, 11.79%, see rank | 14.38% | 16.60% |
5 Rooms | 785, 24.36%, see rank | 21.00% | 20.41% |
6 Rooms | 749, 23.24%, see rank | 20.07% | 18.06% |
7 Rooms | 438, 13.59%, see rank | 13.45% | 12.27% |
8 Rooms | 288, 8.94%, see rank | 9.27% | 8.48% |
9 Rooms or More | 376, 11.67%, see rank | 11.67% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49082 Zip Code | Michigan | U.S. |
Total Housing Units | 3,356, 100% | 4,531,958 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.23% | 1.95% |
2 Rooms | 42, 1.25%, see rank | 1.68% | 2.36% |
3 Rooms | 159, 4.74%, see rank | 6.94% | 8.97% |
4 Rooms | 417, 12.43%, see rank | 14.40% | 16.57% |
5 Rooms | 795, 23.69%, see rank | 21.17% | 20.41% |
6 Rooms | 775, 23.09%, see rank | 20.13% | 18.25% |
7 Rooms | 438, 13.05%, see rank | 13.55% | 12.38% |
8 Rooms | 319, 9.51%, see rank | 9.29% | 8.59% |
9 Rooms or More | 411, 12.25%, see rank | 11.61% | 10.52% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49082 Zip Code | Michigan | U.S. |
Total Housing Units | 2,786, 100% | 4,234,279 | 115,904,641 |
1 Room | 7, 0.25%, see rank | 1.18% | 2.20% |
2 Rooms | 44, 1.58%, see rank | 3.20% | 4.81% |
3 Rooms | 148, 5.31%, see rank | 7.87% | 9.84% |
4 Rooms | 471, 16.91%, see rank | 14.15% | 15.97% |
5 Rooms | 472, 16.94%, see rank | 22.63% | 20.89% |
6 Rooms | 561, 20.14%, see rank | 20.84% | 18.45% |
7 Rooms | 467, 16.76%, see rank | 13.27% | 12.06% |
8 Rooms | 293, 10.52%, see rank | 8.62% | 8.06% |
9 Rooms or More | 323, 11.59%, 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.