53235 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53235 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,870, 100% | 2,635,602 | 132,741,033 |
1 Room | 235, 4.83%, see rank | 1.60% | 1.95% |
2 Rooms | 231, 4.74%, see rank | 2.32% | 2.48% |
3 Rooms | 909, 18.67%, see rank | 8.42% | 9.13% |
4 Rooms | 917, 18.83%, see rank | 16.51% | 16.60% |
5 Rooms | 1,161, 23.84%, see rank | 20.77% | 20.41% |
6 Rooms | 783, 16.08%, see rank | 17.70% | 18.06% |
7 Rooms | 362, 7.43%, see rank | 12.69% | 12.27% |
8 Rooms | 158, 3.24%, see rank | 8.89% | 8.48% |
9 Rooms or More | 114, 2.34%, see rank | 11.10% | 10.60% |
Median Rooms | 4.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53235 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,823, 100% | 2,620,401 | 131,642,457 |
1 Room | 197, 4.08%, see rank | 1.62% | 1.95% |
2 Rooms | 248, 5.14%, see rank | 2.17% | 2.36% |
3 Rooms | 917, 19.01%, see rank | 8.33% | 8.97% |
4 Rooms | 888, 18.41%, see rank | 16.46% | 16.57% |
5 Rooms | 1,104, 22.89%, see rank | 20.74% | 20.41% |
6 Rooms | 880, 18.25%, see rank | 17.92% | 18.25% |
7 Rooms | 341, 7.07%, see rank | 12.78% | 12.38% |
8 Rooms | 129, 2.67%, see rank | 8.94% | 8.59% |
9 Rooms or More | 119, 2.47%, see rank | 11.03% | 10.52% |
Median Rooms | 4.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53235 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,235, 100% | 2,321,144 | 115,904,641 |
1 Room | 62, 1.46%, see rank | 1.43% | 2.20% |
2 Rooms | 474, 11.19%, see rank | 3.23% | 4.81% |
3 Rooms | 656, 15.49%, see rank | 8.01% | 9.84% |
4 Rooms | 760, 17.95%, see rank | 16.62% | 15.97% |
5 Rooms | 1,176, 27.77%, see rank | 22.65% | 20.89% |
6 Rooms | 662, 15.63%, see rank | 19.16% | 18.45% |
7 Rooms | 225, 5.31%, see rank | 12.91% | 12.06% |
8 Rooms | 141, 3.33%, see rank | 8.44% | 8.06% |
9 Rooms or More | 79, 1.87%, see rank | 7.56% | 7.70% |
Median Rooms | 4.60, 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.