54736 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54736 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,751, 100% | 2,635,602 | 132,741,033 |
1 Room | 5, 0.29%, see rank | 1.60% | 1.95% |
2 Rooms | 23, 1.31%, see rank | 2.32% | 2.48% |
3 Rooms | 73, 4.17%, see rank | 8.42% | 9.13% |
4 Rooms | 165, 9.42%, see rank | 16.51% | 16.60% |
5 Rooms | 385, 21.99%, see rank | 20.77% | 20.41% |
6 Rooms | 278, 15.88%, see rank | 17.70% | 18.06% |
7 Rooms | 323, 18.45%, see rank | 12.69% | 12.27% |
8 Rooms | 194, 11.08%, see rank | 8.89% | 8.48% |
9 Rooms or More | 305, 17.42%, see rank | 11.10% | 10.60% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54736 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,748, 100% | 2,620,401 | 131,642,457 |
1 Room | 23, 1.32%, see rank | 1.62% | 1.95% |
2 Rooms | 15, 0.86%, see rank | 2.17% | 2.36% |
3 Rooms | 76, 4.35%, see rank | 8.33% | 8.97% |
4 Rooms | 179, 10.24%, see rank | 16.46% | 16.57% |
5 Rooms | 347, 19.85%, see rank | 20.74% | 20.41% |
6 Rooms | 307, 17.56%, see rank | 17.92% | 18.25% |
7 Rooms | 281, 16.08%, see rank | 12.78% | 12.38% |
8 Rooms | 193, 11.04%, see rank | 8.94% | 8.59% |
9 Rooms or More | 327, 18.71%, see rank | 11.03% | 10.52% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54736 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,580, 100% | 2,321,144 | 115,904,641 |
1 Room | 5, 0.32%, see rank | 1.43% | 2.20% |
2 Rooms | 27, 1.71%, see rank | 3.23% | 4.81% |
3 Rooms | 80, 5.06%, see rank | 8.01% | 9.84% |
4 Rooms | 157, 9.94%, see rank | 16.62% | 15.97% |
5 Rooms | 313, 19.81%, see rank | 22.65% | 20.89% |
6 Rooms | 278, 17.59%, see rank | 19.16% | 18.45% |
7 Rooms | 286, 18.10%, see rank | 12.91% | 12.06% |
8 Rooms | 201, 12.72%, see rank | 8.44% | 8.06% |
9 Rooms or More | 233, 14.75%, see rank | 7.56% | 7.70% |
Median Rooms | 6.20, 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.