49635 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49635 Zip Code | Michigan | U.S. |
Total Housing Units | 3,358, 100% | 4,532,719 | 132,741,033 |
1 Room | 46, 1.37%, see rank | 1.24% | 1.95% |
2 Rooms | 110, 3.28%, see rank | 1.78% | 2.48% |
3 Rooms | 260, 7.74%, see rank | 7.14% | 9.13% |
4 Rooms | 686, 20.43%, see rank | 14.38% | 16.60% |
5 Rooms | 807, 24.03%, see rank | 21.00% | 20.41% |
6 Rooms | 552, 16.44%, see rank | 20.07% | 18.06% |
7 Rooms | 303, 9.02%, see rank | 13.45% | 12.27% |
8 Rooms | 264, 7.86%, see rank | 9.27% | 8.48% |
9 Rooms or More | 330, 9.83%, see rank | 11.67% | 10.60% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49635 Zip Code | Michigan | U.S. |
Total Housing Units | 3,262, 100% | 4,531,958 | 131,642,457 |
1 Room | 48, 1.47%, see rank | 1.23% | 1.95% |
2 Rooms | 118, 3.62%, see rank | 1.68% | 2.36% |
3 Rooms | 244, 7.48%, see rank | 6.94% | 8.97% |
4 Rooms | 679, 20.82%, see rank | 14.40% | 16.57% |
5 Rooms | 736, 22.56%, see rank | 21.17% | 20.41% |
6 Rooms | 546, 16.74%, see rank | 20.13% | 18.25% |
7 Rooms | 353, 10.82%, see rank | 13.55% | 12.38% |
8 Rooms | 224, 6.87%, see rank | 9.29% | 8.59% |
9 Rooms or More | 314, 9.63%, see rank | 11.61% | 10.52% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49635 Zip Code | Michigan | U.S. |
Total Housing Units | 2,953, 100% | 4,234,279 | 115,904,641 |
1 Room | 24, 0.81%, see rank | 1.18% | 2.20% |
2 Rooms | 56, 1.90%, see rank | 3.20% | 4.81% |
3 Rooms | 143, 4.84%, see rank | 7.87% | 9.84% |
4 Rooms | 479, 16.22%, see rank | 14.15% | 15.97% |
5 Rooms | 749, 25.36%, see rank | 22.63% | 20.89% |
6 Rooms | 668, 22.62%, see rank | 20.84% | 18.45% |
7 Rooms | 334, 11.31%, see rank | 13.27% | 12.06% |
8 Rooms | 262, 8.87%, see rank | 8.62% | 8.06% |
9 Rooms or More | 238, 8.06%, see rank | 8.24% | 7.70% |
Median Rooms | 5.50, 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.