54568 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54568 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,177, 100% | 2,635,602 | 132,741,033 |
1 Room | 82, 1.96%, see rank | 1.60% | 1.95% |
2 Rooms | 118, 2.82%, see rank | 2.32% | 2.48% |
3 Rooms | 642, 15.37%, see rank | 8.42% | 9.13% |
4 Rooms | 716, 17.14%, see rank | 16.51% | 16.60% |
5 Rooms | 1,141, 27.32%, see rank | 20.77% | 20.41% |
6 Rooms | 558, 13.36%, see rank | 17.70% | 18.06% |
7 Rooms | 460, 11.01%, see rank | 12.69% | 12.27% |
8 Rooms | 228, 5.46%, see rank | 8.89% | 8.48% |
9 Rooms or More | 232, 5.55%, see rank | 11.10% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54568 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,945, 100% | 2,620,401 | 131,642,457 |
1 Room | 105, 2.66%, see rank | 1.62% | 1.95% |
2 Rooms | 100, 2.53%, see rank | 2.17% | 2.36% |
3 Rooms | 610, 15.46%, see rank | 8.33% | 8.97% |
4 Rooms | 754, 19.11%, see rank | 16.46% | 16.57% |
5 Rooms | 1,046, 26.51%, see rank | 20.74% | 20.41% |
6 Rooms | 477, 12.09%, see rank | 17.92% | 18.25% |
7 Rooms | 375, 9.51%, see rank | 12.78% | 12.38% |
8 Rooms | 197, 4.99%, see rank | 8.94% | 8.59% |
9 Rooms or More | 281, 7.12%, see rank | 11.03% | 10.52% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54568 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,485, 100% | 2,321,144 | 115,904,641 |
1 Room | 7, 0.20%, see rank | 1.43% | 2.20% |
2 Rooms | 185, 5.31%, see rank | 3.23% | 4.81% |
3 Rooms | 379, 10.88%, see rank | 8.01% | 9.84% |
4 Rooms | 857, 24.59%, see rank | 16.62% | 15.97% |
5 Rooms | 912, 26.17%, see rank | 22.65% | 20.89% |
6 Rooms | 533, 15.29%, see rank | 19.16% | 18.45% |
7 Rooms | 255, 7.32%, see rank | 12.91% | 12.06% |
8 Rooms | 200, 5.74%, see rank | 8.44% | 8.06% |
9 Rooms or More | 157, 4.51%, see rank | 7.56% | 7.70% |
Median Rooms | 4.80, 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.