54406 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54406 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,451, 100% | 2,635,602 | 132,741,033 |
1 Room | 3, 0.21%, see rank | 1.60% | 1.95% |
2 Rooms | 18, 1.24%, see rank | 2.32% | 2.48% |
3 Rooms | 37, 2.55%, see rank | 8.42% | 9.13% |
4 Rooms | 192, 13.23%, see rank | 16.51% | 16.60% |
5 Rooms | 292, 20.12%, see rank | 20.77% | 20.41% |
6 Rooms | 283, 19.50%, see rank | 17.70% | 18.06% |
7 Rooms | 198, 13.65%, see rank | 12.69% | 12.27% |
8 Rooms | 180, 12.41%, see rank | 8.89% | 8.48% |
9 Rooms or More | 248, 17.09%, see rank | 11.10% | 10.60% |
Median Rooms | 6.10, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54406 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,520, 100% | 2,620,401 | 131,642,457 |
1 Room | 25, 1.64%, see rank | 1.62% | 1.95% |
2 Rooms | 28, 1.84%, see rank | 2.17% | 2.36% |
3 Rooms | 44, 2.89%, see rank | 8.33% | 8.97% |
4 Rooms | 179, 11.78%, see rank | 16.46% | 16.57% |
5 Rooms | 272, 17.89%, see rank | 20.74% | 20.41% |
6 Rooms | 340, 22.37%, see rank | 17.92% | 18.25% |
7 Rooms | 236, 15.53%, see rank | 12.78% | 12.38% |
8 Rooms | 150, 9.87%, see rank | 8.94% | 8.59% |
9 Rooms or More | 246, 16.18%, see rank | 11.03% | 10.52% |
Median Rooms | 6.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54406 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,360, 100% | 2,321,144 | 115,904,641 |
1 Room | 9, 0.66%, see rank | 1.43% | 2.20% |
2 Rooms | 13, 0.96%, see rank | 3.23% | 4.81% |
3 Rooms | 78, 5.74%, see rank | 8.01% | 9.84% |
4 Rooms | 180, 13.24%, see rank | 16.62% | 15.97% |
5 Rooms | 271, 19.93%, see rank | 22.65% | 20.89% |
6 Rooms | 292, 21.47%, see rank | 19.16% | 18.45% |
7 Rooms | 208, 15.29%, see rank | 12.91% | 12.06% |
8 Rooms | 159, 11.69%, see rank | 8.44% | 8.06% |
9 Rooms or More | 150, 11.03%, see rank | 7.56% | 7.70% |
Median Rooms | 5.90, 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.