56256 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 56256 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,361, 100% | 2,364,149 | 132,741,033 |
1 Room | 17, 1.25%, see rank | 1.54% | 1.95% |
2 Rooms | 35, 2.57%, see rank | 2.83% | 2.48% |
3 Rooms | 82, 6.02%, see rank | 9.20% | 9.13% |
4 Rooms | 71, 5.22%, see rank | 14.05% | 16.60% |
5 Rooms | 173, 12.71%, see rank | 15.52% | 20.41% |
6 Rooms | 220, 16.16%, see rank | 14.98% | 18.06% |
7 Rooms | 251, 18.44%, see rank | 12.86% | 12.27% |
8 Rooms | 222, 16.31%, see rank | 11.01% | 8.48% |
9 Rooms or More | 290, 21.31%, see rank | 18.01% | 10.60% |
Median Rooms | 6.80, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 56256 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,401, 100% | 2,347,928 | 131,642,457 |
1 Room | 19, 1.36%, see rank | 1.44% | 1.95% |
2 Rooms | 28, 2.00%, see rank | 2.60% | 2.36% |
3 Rooms | 96, 6.85%, see rank | 9.21% | 8.97% |
4 Rooms | 77, 5.50%, see rank | 14.15% | 16.57% |
5 Rooms | 161, 11.49%, see rank | 15.77% | 20.41% |
6 Rooms | 284, 20.27%, see rank | 15.21% | 18.25% |
7 Rooms | 229, 16.35%, see rank | 12.97% | 12.38% |
8 Rooms | 182, 12.99%, see rank | 11.07% | 8.59% |
9 Rooms or More | 325, 23.20%, see rank | 17.58% | 10.52% |
Median Rooms | 6.70, see rank | 5.90 | 5.50 |
US Census 2000 data
| 56256 Zip Code | Minnesota | U.S. |
Total Housing Units | 1,373, 100% | 2,065,946 | 115,904,641 |
1 Room | 6, 0.44%, see rank | 1.90% | 2.20% |
2 Rooms | 32, 2.33%, see rank | 4.23% | 4.81% |
3 Rooms | 83, 6.05%, see rank | 9.22% | 9.84% |
4 Rooms | 134, 9.76%, see rank | 13.84% | 15.97% |
5 Rooms | 186, 13.55%, see rank | 17.26% | 20.89% |
6 Rooms | 274, 19.96%, see rank | 15.51% | 18.45% |
7 Rooms | 258, 18.79%, see rank | 13.15% | 12.06% |
8 Rooms | 205, 14.93%, see rank | 11.42% | 8.06% |
9 Rooms or More | 195, 14.20%, see rank | 13.46% | 7.70% |
Median Rooms | 6.40, 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.