49329 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 49329 Zip Code | Michigan | U.S. |
Total Housing Units | 3,575, 100% | 4,532,719 | 132,741,033 |
1 Room | 37, 1.03%, see rank | 1.24% | 1.95% |
2 Rooms | 29, 0.81%, see rank | 1.78% | 2.48% |
3 Rooms | 254, 7.10%, see rank | 7.14% | 9.13% |
4 Rooms | 407, 11.38%, see rank | 14.38% | 16.60% |
5 Rooms | 887, 24.81%, see rank | 21.00% | 20.41% |
6 Rooms | 786, 21.99%, see rank | 20.07% | 18.06% |
7 Rooms | 537, 15.02%, see rank | 13.45% | 12.27% |
8 Rooms | 282, 7.89%, see rank | 9.27% | 8.48% |
9 Rooms or More | 356, 9.96%, see rank | 11.67% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 49329 Zip Code | Michigan | U.S. |
Total Housing Units | 3,484, 100% | 4,531,958 | 131,642,457 |
1 Room | 29, 0.83%, see rank | 1.23% | 1.95% |
2 Rooms | 24, 0.69%, see rank | 1.68% | 2.36% |
3 Rooms | 187, 5.37%, see rank | 6.94% | 8.97% |
4 Rooms | 415, 11.91%, see rank | 14.40% | 16.57% |
5 Rooms | 683, 19.60%, see rank | 21.17% | 20.41% |
6 Rooms | 916, 26.29%, see rank | 20.13% | 18.25% |
7 Rooms | 536, 15.38%, see rank | 13.55% | 12.38% |
8 Rooms | 267, 7.66%, see rank | 9.29% | 8.59% |
9 Rooms or More | 427, 12.26%, see rank | 11.61% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 49329 Zip Code | Michigan | U.S. |
Total Housing Units | 2,734, 100% | 4,234,279 | 115,904,641 |
1 Room | 11, 0.40%, see rank | 1.18% | 2.20% |
2 Rooms | 35, 1.28%, see rank | 3.20% | 4.81% |
3 Rooms | 113, 4.13%, see rank | 7.87% | 9.84% |
4 Rooms | 360, 13.17%, see rank | 14.15% | 15.97% |
5 Rooms | 774, 28.31%, see rank | 22.63% | 20.89% |
6 Rooms | 566, 20.70%, see rank | 20.84% | 18.45% |
7 Rooms | 404, 14.78%, see rank | 13.27% | 12.06% |
8 Rooms | 234, 8.56%, see rank | 8.62% | 8.06% |
9 Rooms or More | 237, 8.67%, see rank | 8.24% | 7.70% |
Median Rooms | 5.60, 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.