53950 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53950 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,983, 100% | 2,635,602 | 132,741,033 |
1 Room | 26, 0.87%, see rank | 1.60% | 1.95% |
2 Rooms | 81, 2.72%, see rank | 2.32% | 2.48% |
3 Rooms | 268, 8.98%, see rank | 8.42% | 9.13% |
4 Rooms | 558, 18.71%, see rank | 16.51% | 16.60% |
5 Rooms | 813, 27.25%, see rank | 20.77% | 20.41% |
6 Rooms | 451, 15.12%, see rank | 17.70% | 18.06% |
7 Rooms | 349, 11.70%, see rank | 12.69% | 12.27% |
8 Rooms | 178, 5.97%, see rank | 8.89% | 8.48% |
9 Rooms or More | 259, 8.68%, see rank | 11.10% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53950 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,187, 100% | 2,620,401 | 131,642,457 |
1 Room | 21, 0.66%, see rank | 1.62% | 1.95% |
2 Rooms | 69, 2.17%, see rank | 2.17% | 2.36% |
3 Rooms | 219, 6.87%, see rank | 8.33% | 8.97% |
4 Rooms | 554, 17.38%, see rank | 16.46% | 16.57% |
5 Rooms | 892, 27.99%, see rank | 20.74% | 20.41% |
6 Rooms | 488, 15.31%, see rank | 17.92% | 18.25% |
7 Rooms | 397, 12.46%, see rank | 12.78% | 12.38% |
8 Rooms | 288, 9.04%, see rank | 8.94% | 8.59% |
9 Rooms or More | 259, 8.13%, see rank | 11.03% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53950 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,506, 100% | 2,321,144 | 115,904,641 |
1 Room | 28, 1.12%, see rank | 1.43% | 2.20% |
2 Rooms | 51, 2.04%, see rank | 3.23% | 4.81% |
3 Rooms | 133, 5.31%, see rank | 8.01% | 9.84% |
4 Rooms | 563, 22.47%, see rank | 16.62% | 15.97% |
5 Rooms | 720, 28.73%, see rank | 22.65% | 20.89% |
6 Rooms | 464, 18.52%, see rank | 19.16% | 18.45% |
7 Rooms | 248, 9.90%, see rank | 12.91% | 12.06% |
8 Rooms | 184, 7.34%, see rank | 8.44% | 8.06% |
9 Rooms or More | 115, 4.59%, see rank | 7.56% | 7.70% |
Median Rooms | 5.20, 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.