54888 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54888 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,424, 100% | 2,635,602 | 132,741,033 |
1 Room | 31, 2.18%, see rank | 1.60% | 1.95% |
2 Rooms | 47, 3.30%, see rank | 2.32% | 2.48% |
3 Rooms | 167, 11.73%, see rank | 8.42% | 9.13% |
4 Rooms | 271, 19.03%, see rank | 16.51% | 16.60% |
5 Rooms | 259, 18.19%, see rank | 20.77% | 20.41% |
6 Rooms | 302, 21.21%, see rank | 17.70% | 18.06% |
7 Rooms | 114, 8.01%, see rank | 12.69% | 12.27% |
8 Rooms | 130, 9.13%, see rank | 8.89% | 8.48% |
9 Rooms or More | 103, 7.23%, see rank | 11.10% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54888 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,350, 100% | 2,620,401 | 131,642,457 |
1 Room | 28, 2.07%, see rank | 1.62% | 1.95% |
2 Rooms | 55, 4.07%, see rank | 2.17% | 2.36% |
3 Rooms | 182, 13.48%, see rank | 8.33% | 8.97% |
4 Rooms | 277, 20.52%, see rank | 16.46% | 16.57% |
5 Rooms | 274, 20.30%, see rank | 20.74% | 20.41% |
6 Rooms | 258, 19.11%, see rank | 17.92% | 18.25% |
7 Rooms | 91, 6.74%, see rank | 12.78% | 12.38% |
8 Rooms | 112, 8.30%, see rank | 8.94% | 8.59% |
9 Rooms or More | 73, 5.41%, see rank | 11.03% | 10.52% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54888 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,155, 100% | 2,321,144 | 115,904,641 |
1 Room | 80, 6.93%, see rank | 1.43% | 2.20% |
2 Rooms | 57, 4.94%, see rank | 3.23% | 4.81% |
3 Rooms | 152, 13.16%, see rank | 8.01% | 9.84% |
4 Rooms | 246, 21.30%, see rank | 16.62% | 15.97% |
5 Rooms | 255, 22.08%, see rank | 22.65% | 20.89% |
6 Rooms | 181, 15.67%, see rank | 19.16% | 18.45% |
7 Rooms | 81, 7.01%, see rank | 12.91% | 12.06% |
8 Rooms | 49, 4.24%, see rank | 8.44% | 8.06% |
9 Rooms or More | 54, 4.68%, 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.