54817 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54817 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,277, 100% | 2,635,602 | 132,741,033 |
1 Room | 49, 2.15%, see rank | 1.60% | 1.95% |
2 Rooms | 91, 4.00%, see rank | 2.32% | 2.48% |
3 Rooms | 306, 13.44%, see rank | 8.42% | 9.13% |
4 Rooms | 447, 19.63%, see rank | 16.51% | 16.60% |
5 Rooms | 528, 23.19%, see rank | 20.77% | 20.41% |
6 Rooms | 311, 13.66%, see rank | 17.70% | 18.06% |
7 Rooms | 207, 9.09%, see rank | 12.69% | 12.27% |
8 Rooms | 149, 6.54%, see rank | 8.89% | 8.48% |
9 Rooms or More | 189, 8.30%, see rank | 11.10% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54817 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,217, 100% | 2,620,401 | 131,642,457 |
1 Room | 88, 3.97%, see rank | 1.62% | 1.95% |
2 Rooms | 95, 4.29%, see rank | 2.17% | 2.36% |
3 Rooms | 291, 13.13%, see rank | 8.33% | 8.97% |
4 Rooms | 522, 23.55%, see rank | 16.46% | 16.57% |
5 Rooms | 429, 19.35%, see rank | 20.74% | 20.41% |
6 Rooms | 291, 13.13%, see rank | 17.92% | 18.25% |
7 Rooms | 181, 8.16%, see rank | 12.78% | 12.38% |
8 Rooms | 159, 7.17%, see rank | 8.94% | 8.59% |
9 Rooms or More | 161, 7.26%, see rank | 11.03% | 10.52% |
Median Rooms | 4.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54817 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,778, 100% | 2,321,144 | 115,904,641 |
1 Room | 24, 1.35%, see rank | 1.43% | 2.20% |
2 Rooms | 76, 4.27%, see rank | 3.23% | 4.81% |
3 Rooms | 203, 11.42%, see rank | 8.01% | 9.84% |
4 Rooms | 397, 22.33%, see rank | 16.62% | 15.97% |
5 Rooms | 398, 22.38%, see rank | 22.65% | 20.89% |
6 Rooms | 371, 20.87%, see rank | 19.16% | 18.45% |
7 Rooms | 137, 7.71%, see rank | 12.91% | 12.06% |
8 Rooms | 101, 5.68%, see rank | 8.44% | 8.06% |
9 Rooms or More | 71, 3.99%, see rank | 7.56% | 7.70% |
Median Rooms | 5.00, 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.