54872 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54872 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,220, 100% | 2,635,602 | 132,741,033 |
1 Room | 48, 2.16%, see rank | 1.60% | 1.95% |
2 Rooms | 101, 4.55%, see rank | 2.32% | 2.48% |
3 Rooms | 377, 16.98%, see rank | 8.42% | 9.13% |
4 Rooms | 480, 21.62%, see rank | 16.51% | 16.60% |
5 Rooms | 555, 25.00%, see rank | 20.77% | 20.41% |
6 Rooms | 320, 14.41%, see rank | 17.70% | 18.06% |
7 Rooms | 164, 7.39%, see rank | 12.69% | 12.27% |
8 Rooms | 107, 4.82%, see rank | 8.89% | 8.48% |
9 Rooms or More | 68, 3.06%, see rank | 11.10% | 10.60% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54872 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,172, 100% | 2,620,401 | 131,642,457 |
1 Room | 31, 1.43%, see rank | 1.62% | 1.95% |
2 Rooms | 61, 2.81%, see rank | 2.17% | 2.36% |
3 Rooms | 332, 15.29%, see rank | 8.33% | 8.97% |
4 Rooms | 467, 21.50%, see rank | 16.46% | 16.57% |
5 Rooms | 527, 24.26%, see rank | 20.74% | 20.41% |
6 Rooms | 297, 13.67%, see rank | 17.92% | 18.25% |
7 Rooms | 226, 10.41%, see rank | 12.78% | 12.38% |
8 Rooms | 157, 7.23%, see rank | 8.94% | 8.59% |
9 Rooms or More | 74, 3.41%, see rank | 11.03% | 10.52% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54872 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,934, 100% | 2,321,144 | 115,904,641 |
1 Room | 39, 2.02%, see rank | 1.43% | 2.20% |
2 Rooms | 62, 3.21%, see rank | 3.23% | 4.81% |
3 Rooms | 247, 12.77%, see rank | 8.01% | 9.84% |
4 Rooms | 537, 27.77%, see rank | 16.62% | 15.97% |
5 Rooms | 507, 26.22%, see rank | 22.65% | 20.89% |
6 Rooms | 249, 12.87%, see rank | 19.16% | 18.45% |
7 Rooms | 134, 6.93%, see rank | 12.91% | 12.06% |
8 Rooms | 86, 4.45%, see rank | 8.44% | 8.06% |
9 Rooms or More | 73, 3.77%, see rank | 7.56% | 7.70% |
Median Rooms | 4.70, 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.