54853 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54853 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,723, 100% | 2,635,602 | 132,741,033 |
1 Room | 33, 1.21%, see rank | 1.60% | 1.95% |
2 Rooms | 130, 4.77%, see rank | 2.32% | 2.48% |
3 Rooms | 267, 9.81%, see rank | 8.42% | 9.13% |
4 Rooms | 482, 17.70%, see rank | 16.51% | 16.60% |
5 Rooms | 571, 20.97%, see rank | 20.77% | 20.41% |
6 Rooms | 467, 17.15%, see rank | 17.70% | 18.06% |
7 Rooms | 360, 13.22%, see rank | 12.69% | 12.27% |
8 Rooms | 218, 8.01%, see rank | 8.89% | 8.48% |
9 Rooms or More | 195, 7.16%, see rank | 11.10% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54853 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,694, 100% | 2,620,401 | 131,642,457 |
1 Room | 25, 0.93%, see rank | 1.62% | 1.95% |
2 Rooms | 129, 4.79%, see rank | 2.17% | 2.36% |
3 Rooms | 260, 9.65%, see rank | 8.33% | 8.97% |
4 Rooms | 453, 16.82%, see rank | 16.46% | 16.57% |
5 Rooms | 593, 22.01%, see rank | 20.74% | 20.41% |
6 Rooms | 504, 18.71%, see rank | 17.92% | 18.25% |
7 Rooms | 295, 10.95%, see rank | 12.78% | 12.38% |
8 Rooms | 198, 7.35%, see rank | 8.94% | 8.59% |
9 Rooms or More | 237, 8.80%, see rank | 11.03% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54853 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,137, 100% | 2,321,144 | 115,904,641 |
1 Room | 15, 0.70%, see rank | 1.43% | 2.20% |
2 Rooms | 49, 2.29%, see rank | 3.23% | 4.81% |
3 Rooms | 158, 7.39%, see rank | 8.01% | 9.84% |
4 Rooms | 454, 21.24%, see rank | 16.62% | 15.97% |
5 Rooms | 452, 21.15%, see rank | 22.65% | 20.89% |
6 Rooms | 462, 21.62%, see rank | 19.16% | 18.45% |
7 Rooms | 267, 12.49%, see rank | 12.91% | 12.06% |
8 Rooms | 170, 7.96%, see rank | 8.44% | 8.06% |
9 Rooms or More | 110, 5.15%, see rank | 7.56% | 7.70% |
Median Rooms | 5.40, 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.