53968 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53968 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,121, 100% | 2,635,602 | 132,741,033 |
1 Room | 22, 1.96%, see rank | 1.60% | 1.95% |
2 Rooms | 4, 0.36%, see rank | 2.32% | 2.48% |
3 Rooms | 57, 5.08%, see rank | 8.42% | 9.13% |
4 Rooms | 161, 14.36%, see rank | 16.51% | 16.60% |
5 Rooms | 259, 23.10%, see rank | 20.77% | 20.41% |
6 Rooms | 215, 19.18%, see rank | 17.70% | 18.06% |
7 Rooms | 144, 12.85%, see rank | 12.69% | 12.27% |
8 Rooms | 121, 10.79%, see rank | 8.89% | 8.48% |
9 Rooms or More | 138, 12.31%, see rank | 11.10% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53968 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,102, 100% | 2,620,401 | 131,642,457 |
1 Room | 12, 1.09%, see rank | 1.62% | 1.95% |
2 Rooms | 5, 0.45%, see rank | 2.17% | 2.36% |
3 Rooms | 46, 4.17%, see rank | 8.33% | 8.97% |
4 Rooms | 143, 12.98%, see rank | 16.46% | 16.57% |
5 Rooms | 242, 21.96%, see rank | 20.74% | 20.41% |
6 Rooms | 226, 20.51%, see rank | 17.92% | 18.25% |
7 Rooms | 166, 15.06%, see rank | 12.78% | 12.38% |
8 Rooms | 119, 10.80%, see rank | 8.94% | 8.59% |
9 Rooms or More | 143, 12.98%, see rank | 11.03% | 10.52% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53968 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,033, 100% | 2,321,144 | 115,904,641 |
1 Room | 5, 0.48%, see rank | 1.43% | 2.20% |
2 Rooms | 14, 1.36%, see rank | 3.23% | 4.81% |
3 Rooms | 84, 8.13%, see rank | 8.01% | 9.84% |
4 Rooms | 121, 11.71%, see rank | 16.62% | 15.97% |
5 Rooms | 218, 21.10%, see rank | 22.65% | 20.89% |
6 Rooms | 232, 22.46%, see rank | 19.16% | 18.45% |
7 Rooms | 177, 17.13%, see rank | 12.91% | 12.06% |
8 Rooms | 105, 10.16%, see rank | 8.44% | 8.06% |
9 Rooms or More | 77, 7.45%, see rank | 7.56% | 7.70% |
Median Rooms | 5.80, 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.