54873 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54873 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,961, 100% | 2,635,602 | 132,741,033 |
1 Room | 98, 3.31%, see rank | 1.60% | 1.95% |
2 Rooms | 152, 5.13%, see rank | 2.32% | 2.48% |
3 Rooms | 469, 15.84%, see rank | 8.42% | 9.13% |
4 Rooms | 635, 21.45%, see rank | 16.51% | 16.60% |
5 Rooms | 702, 23.71%, see rank | 20.77% | 20.41% |
6 Rooms | 441, 14.89%, see rank | 17.70% | 18.06% |
7 Rooms | 231, 7.80%, see rank | 12.69% | 12.27% |
8 Rooms | 97, 3.28%, see rank | 8.89% | 8.48% |
9 Rooms or More | 136, 4.59%, see rank | 11.10% | 10.60% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54873 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,974, 100% | 2,620,401 | 131,642,457 |
1 Room | 139, 4.67%, see rank | 1.62% | 1.95% |
2 Rooms | 165, 5.55%, see rank | 2.17% | 2.36% |
3 Rooms | 465, 15.64%, see rank | 8.33% | 8.97% |
4 Rooms | 580, 19.50%, see rank | 16.46% | 16.57% |
5 Rooms | 657, 22.09%, see rank | 20.74% | 20.41% |
6 Rooms | 481, 16.17%, see rank | 17.92% | 18.25% |
7 Rooms | 277, 9.31%, see rank | 12.78% | 12.38% |
8 Rooms | 77, 2.59%, see rank | 8.94% | 8.59% |
9 Rooms or More | 133, 4.47%, see rank | 11.03% | 10.52% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54873 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,285, 100% | 2,321,144 | 115,904,641 |
1 Room | 69, 3.02%, see rank | 1.43% | 2.20% |
2 Rooms | 49, 2.14%, see rank | 3.23% | 4.81% |
3 Rooms | 239, 10.46%, see rank | 8.01% | 9.84% |
4 Rooms | 638, 27.92%, see rank | 16.62% | 15.97% |
5 Rooms | 531, 23.24%, see rank | 22.65% | 20.89% |
6 Rooms | 333, 14.57%, see rank | 19.16% | 18.45% |
7 Rooms | 214, 9.37%, see rank | 12.91% | 12.06% |
8 Rooms | 110, 4.81%, see rank | 8.44% | 8.06% |
9 Rooms or More | 102, 4.46%, 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.