54767 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54767 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,431, 100% | 2,635,602 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 46, 3.21%, see rank | 2.32% | 2.48% |
3 Rooms | 92, 6.43%, see rank | 8.42% | 9.13% |
4 Rooms | 135, 9.43%, see rank | 16.51% | 16.60% |
5 Rooms | 261, 18.24%, see rank | 20.77% | 20.41% |
6 Rooms | 269, 18.80%, see rank | 17.70% | 18.06% |
7 Rooms | 246, 17.19%, see rank | 12.69% | 12.27% |
8 Rooms | 146, 10.20%, see rank | 8.89% | 8.48% |
9 Rooms or More | 236, 16.49%, see rank | 11.10% | 10.60% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54767 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,396, 100% | 2,620,401 | 131,642,457 |
1 Room | 19, 1.36%, see rank | 1.62% | 1.95% |
2 Rooms | 28, 2.01%, see rank | 2.17% | 2.36% |
3 Rooms | 96, 6.88%, see rank | 8.33% | 8.97% |
4 Rooms | 138, 9.89%, see rank | 16.46% | 16.57% |
5 Rooms | 198, 14.18%, see rank | 20.74% | 20.41% |
6 Rooms | 245, 17.55%, see rank | 17.92% | 18.25% |
7 Rooms | 219, 15.69%, see rank | 12.78% | 12.38% |
8 Rooms | 171, 12.25%, see rank | 8.94% | 8.59% |
9 Rooms or More | 282, 20.20%, see rank | 11.03% | 10.52% |
Median Rooms | 6.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54767 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,052, 100% | 2,321,144 | 115,904,641 |
1 Room | 2, 0.19%, see rank | 1.43% | 2.20% |
2 Rooms | 25, 2.38%, see rank | 3.23% | 4.81% |
3 Rooms | 74, 7.03%, see rank | 8.01% | 9.84% |
4 Rooms | 102, 9.70%, see rank | 16.62% | 15.97% |
5 Rooms | 208, 19.77%, see rank | 22.65% | 20.89% |
6 Rooms | 200, 19.01%, see rank | 19.16% | 18.45% |
7 Rooms | 179, 17.02%, see rank | 12.91% | 12.06% |
8 Rooms | 149, 14.16%, see rank | 8.44% | 8.06% |
9 Rooms or More | 113, 10.74%, see rank | 7.56% | 7.70% |
Median Rooms | 6.10, 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.