54986 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54986 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,531, 100% | 2,635,602 | 132,741,033 |
1 Room | 48, 1.90%, see rank | 1.60% | 1.95% |
2 Rooms | 20, 0.79%, see rank | 2.32% | 2.48% |
3 Rooms | 110, 4.35%, see rank | 8.42% | 9.13% |
4 Rooms | 515, 20.35%, see rank | 16.51% | 16.60% |
5 Rooms | 481, 19.00%, see rank | 20.77% | 20.41% |
6 Rooms | 476, 18.81%, see rank | 17.70% | 18.06% |
7 Rooms | 296, 11.69%, see rank | 12.69% | 12.27% |
8 Rooms | 283, 11.18%, see rank | 8.89% | 8.48% |
9 Rooms or More | 302, 11.93%, see rank | 11.10% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54986 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,424, 100% | 2,620,401 | 131,642,457 |
1 Room | 35, 1.44%, see rank | 1.62% | 1.95% |
2 Rooms | 35, 1.44%, see rank | 2.17% | 2.36% |
3 Rooms | 129, 5.32%, see rank | 8.33% | 8.97% |
4 Rooms | 523, 21.58%, see rank | 16.46% | 16.57% |
5 Rooms | 454, 18.73%, see rank | 20.74% | 20.41% |
6 Rooms | 438, 18.07%, see rank | 17.92% | 18.25% |
7 Rooms | 310, 12.79%, see rank | 12.78% | 12.38% |
8 Rooms | 239, 9.86%, see rank | 8.94% | 8.59% |
9 Rooms or More | 261, 10.77%, see rank | 11.03% | 10.52% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54986 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,146, 100% | 2,321,144 | 115,904,641 |
1 Room | 20, 0.93%, see rank | 1.43% | 2.20% |
2 Rooms | 44, 2.05%, see rank | 3.23% | 4.81% |
3 Rooms | 201, 9.37%, see rank | 8.01% | 9.84% |
4 Rooms | 336, 15.66%, see rank | 16.62% | 15.97% |
5 Rooms | 555, 25.86%, see rank | 22.65% | 20.89% |
6 Rooms | 418, 19.48%, see rank | 19.16% | 18.45% |
7 Rooms | 244, 11.37%, see rank | 12.91% | 12.06% |
8 Rooms | 184, 8.57%, see rank | 8.44% | 8.06% |
9 Rooms or More | 144, 6.71%, 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.