55768 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 55768 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,448, 100% | 2,364,149 | 132,741,033 |
1 Room | 73, 5.04%, see rank | 1.54% | 1.95% |
2 Rooms | 32, 2.21%, see rank | 2.83% | 2.48% |
3 Rooms | 87, 6.01%, see rank | 9.20% | 9.13% |
4 Rooms | 333, 23.00%, see rank | 14.05% | 16.60% |
5 Rooms | 376, 25.97%, see rank | 15.52% | 20.41% |
6 Rooms | 210, 14.50%, see rank | 14.98% | 18.06% |
7 Rooms | 114, 7.87%, see rank | 12.86% | 12.27% |
8 Rooms | 107, 7.39%, see rank | 11.01% | 8.48% |
9 Rooms or More | 116, 8.01%, see rank | 18.01% | 10.60% |
Median Rooms | 5.00, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 55768 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,490, 100% | 2,347,928 | 131,642,457 |
1 Room | 32, 2.15%, see rank | 1.44% | 1.95% |
2 Rooms | 19, 1.28%, see rank | 2.60% | 2.36% |
3 Rooms | 89, 5.97%, see rank | 9.21% | 8.97% |
4 Rooms | 313, 21.01%, see rank | 14.15% | 16.57% |
5 Rooms | 341, 22.89%, see rank | 15.77% | 20.41% |
6 Rooms | 183, 12.28%, see rank | 15.21% | 18.25% |
7 Rooms | 149, 10.00%, see rank | 12.97% | 12.38% |
8 Rooms | 232, 15.57%, see rank | 11.07% | 8.59% |
9 Rooms or More | 132, 8.86%, see rank | 17.58% | 10.52% |
Median Rooms | 5.40, see rank | 5.90 | 5.50 |
US Census 2000 data
| 55768 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,287, 100% | 2,065,946 | 115,904,641 |
1 Room | 12, 0.93%, see rank | 1.90% | 2.20% |
2 Rooms | 24, 1.86%, see rank | 4.23% | 4.81% |
3 Rooms | 132, 10.26%, see rank | 9.22% | 9.84% |
4 Rooms | 262, 20.36%, see rank | 13.84% | 15.97% |
5 Rooms | 350, 27.20%, see rank | 17.26% | 20.89% |
6 Rooms | 258, 20.05%, see rank | 15.51% | 18.45% |
7 Rooms | 131, 10.18%, see rank | 13.15% | 12.06% |
8 Rooms | 45, 3.50%, see rank | 11.42% | 8.06% |
9 Rooms or More | 73, 5.67%, see rank | 13.46% | 7.70% |
Median Rooms | 5.10, see rank | 5.70 | 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.