53563 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53563 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,518, 100% | 2,635,602 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 86, 1.90%, see rank | 2.32% | 2.48% |
3 Rooms | 295, 6.53%, see rank | 8.42% | 9.13% |
4 Rooms | 338, 7.48%, see rank | 16.51% | 16.60% |
5 Rooms | 875, 19.37%, see rank | 20.77% | 20.41% |
6 Rooms | 760, 16.82%, see rank | 17.70% | 18.06% |
7 Rooms | 621, 13.75%, see rank | 12.69% | 12.27% |
8 Rooms | 703, 15.56%, see rank | 8.89% | 8.48% |
9 Rooms or More | 840, 18.59%, see rank | 11.10% | 10.60% |
Median Rooms | 6.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53563 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,649, 100% | 2,620,401 | 131,642,457 |
1 Room | 10, 0.22%, see rank | 1.62% | 1.95% |
2 Rooms | 34, 0.73%, see rank | 2.17% | 2.36% |
3 Rooms | 368, 7.92%, see rank | 8.33% | 8.97% |
4 Rooms | 381, 8.20%, see rank | 16.46% | 16.57% |
5 Rooms | 909, 19.55%, see rank | 20.74% | 20.41% |
6 Rooms | 677, 14.56%, see rank | 17.92% | 18.25% |
7 Rooms | 802, 17.25%, see rank | 12.78% | 12.38% |
8 Rooms | 743, 15.98%, see rank | 8.94% | 8.59% |
9 Rooms or More | 725, 15.59%, see rank | 11.03% | 10.52% |
Median Rooms | 6.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53563 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,761, 100% | 2,321,144 | 115,904,641 |
1 Room | 14, 0.37%, see rank | 1.43% | 2.20% |
2 Rooms | 54, 1.44%, see rank | 3.23% | 4.81% |
3 Rooms | 230, 6.12%, see rank | 8.01% | 9.84% |
4 Rooms | 497, 13.21%, see rank | 16.62% | 15.97% |
5 Rooms | 711, 18.90%, see rank | 22.65% | 20.89% |
6 Rooms | 708, 18.82%, see rank | 19.16% | 18.45% |
7 Rooms | 707, 18.80%, see rank | 12.91% | 12.06% |
8 Rooms | 405, 10.77%, see rank | 8.44% | 8.06% |
9 Rooms or More | 435, 11.57%, see rank | 7.56% | 7.70% |
Median Rooms | 6.00, see rank | 5.40 | 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.