54495 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54495 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,782, 100% | 2,635,602 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 87, 2.30%, see rank | 2.32% | 2.48% |
3 Rooms | 294, 7.77%, see rank | 8.42% | 9.13% |
4 Rooms | 703, 18.59%, see rank | 16.51% | 16.60% |
5 Rooms | 924, 24.43%, see rank | 20.77% | 20.41% |
6 Rooms | 696, 18.40%, see rank | 17.70% | 18.06% |
7 Rooms | 499, 13.19%, see rank | 12.69% | 12.27% |
8 Rooms | 328, 8.67%, see rank | 8.89% | 8.48% |
9 Rooms or More | 251, 6.64%, see rank | 11.10% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54495 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,794, 100% | 2,620,401 | 131,642,457 |
1 Room | 33, 0.87%, see rank | 1.62% | 1.95% |
2 Rooms | 62, 1.63%, see rank | 2.17% | 2.36% |
3 Rooms | 325, 8.57%, see rank | 8.33% | 8.97% |
4 Rooms | 756, 19.93%, see rank | 16.46% | 16.57% |
5 Rooms | 804, 21.19%, see rank | 20.74% | 20.41% |
6 Rooms | 623, 16.42%, see rank | 17.92% | 18.25% |
7 Rooms | 614, 16.18%, see rank | 12.78% | 12.38% |
8 Rooms | 277, 7.30%, see rank | 8.94% | 8.59% |
9 Rooms or More | 300, 7.91%, see rank | 11.03% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54495 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,521, 100% | 2,321,144 | 115,904,641 |
1 Room | 11, 0.31%, see rank | 1.43% | 2.20% |
2 Rooms | 125, 3.55%, see rank | 3.23% | 4.81% |
3 Rooms | 304, 8.63%, see rank | 8.01% | 9.84% |
4 Rooms | 767, 21.78%, see rank | 16.62% | 15.97% |
5 Rooms | 895, 25.42%, see rank | 22.65% | 20.89% |
6 Rooms | 671, 19.06%, see rank | 19.16% | 18.45% |
7 Rooms | 347, 9.86%, see rank | 12.91% | 12.06% |
8 Rooms | 212, 6.02%, see rank | 8.44% | 8.06% |
9 Rooms or More | 189, 5.37%, see rank | 7.56% | 7.70% |
Median Rooms | 5.10, 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.