54667 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54667 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,971, 100% | 2,635,602 | 132,741,033 |
1 Room | 43, 2.18%, see rank | 1.60% | 1.95% |
2 Rooms | 30, 1.52%, see rank | 2.32% | 2.48% |
3 Rooms | 122, 6.19%, see rank | 8.42% | 9.13% |
4 Rooms | 268, 13.60%, see rank | 16.51% | 16.60% |
5 Rooms | 366, 18.57%, see rank | 20.77% | 20.41% |
6 Rooms | 437, 22.17%, see rank | 17.70% | 18.06% |
7 Rooms | 327, 16.59%, see rank | 12.69% | 12.27% |
8 Rooms | 143, 7.26%, see rank | 8.89% | 8.48% |
9 Rooms or More | 235, 11.92%, see rank | 11.10% | 10.60% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54667 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,915, 100% | 2,620,401 | 131,642,457 |
1 Room | 34, 1.78%, see rank | 1.62% | 1.95% |
2 Rooms | 19, 0.99%, see rank | 2.17% | 2.36% |
3 Rooms | 97, 5.07%, see rank | 8.33% | 8.97% |
4 Rooms | 261, 13.63%, see rank | 16.46% | 16.57% |
5 Rooms | 391, 20.42%, see rank | 20.74% | 20.41% |
6 Rooms | 405, 21.15%, see rank | 17.92% | 18.25% |
7 Rooms | 291, 15.20%, see rank | 12.78% | 12.38% |
8 Rooms | 129, 6.74%, see rank | 8.94% | 8.59% |
9 Rooms or More | 288, 15.04%, see rank | 11.03% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54667 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,561, 100% | 2,321,144 | 115,904,641 |
1 Room | 23, 1.47%, see rank | 1.43% | 2.20% |
2 Rooms | 27, 1.73%, see rank | 3.23% | 4.81% |
3 Rooms | 79, 5.06%, see rank | 8.01% | 9.84% |
4 Rooms | 187, 11.98%, see rank | 16.62% | 15.97% |
5 Rooms | 395, 25.30%, see rank | 22.65% | 20.89% |
6 Rooms | 351, 22.49%, see rank | 19.16% | 18.45% |
7 Rooms | 275, 17.62%, see rank | 12.91% | 12.06% |
8 Rooms | 119, 7.62%, see rank | 8.44% | 8.06% |
9 Rooms or More | 105, 6.73%, see rank | 7.56% | 7.70% |
Median Rooms | 5.70, 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.