53964 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53964 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,126, 100% | 2,635,602 | 132,741,033 |
1 Room | 6, 0.28%, see rank | 1.60% | 1.95% |
2 Rooms | 5, 0.24%, see rank | 2.32% | 2.48% |
3 Rooms | 121, 5.69%, see rank | 8.42% | 9.13% |
4 Rooms | 387, 18.20%, see rank | 16.51% | 16.60% |
5 Rooms | 484, 22.77%, see rank | 20.77% | 20.41% |
6 Rooms | 434, 20.41%, see rank | 17.70% | 18.06% |
7 Rooms | 311, 14.63%, see rank | 12.69% | 12.27% |
8 Rooms | 176, 8.28%, see rank | 8.89% | 8.48% |
9 Rooms or More | 202, 9.50%, see rank | 11.10% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53964 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,064, 100% | 2,620,401 | 131,642,457 |
1 Room | 6, 0.29%, see rank | 1.62% | 1.95% |
2 Rooms | 13, 0.63%, see rank | 2.17% | 2.36% |
3 Rooms | 127, 6.15%, see rank | 8.33% | 8.97% |
4 Rooms | 276, 13.37%, see rank | 16.46% | 16.57% |
5 Rooms | 448, 21.71%, see rank | 20.74% | 20.41% |
6 Rooms | 476, 23.06%, see rank | 17.92% | 18.25% |
7 Rooms | 308, 14.92%, see rank | 12.78% | 12.38% |
8 Rooms | 235, 11.39%, see rank | 8.94% | 8.59% |
9 Rooms or More | 175, 8.48%, see rank | 11.03% | 10.52% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53964 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,792, 100% | 2,321,144 | 115,904,641 |
1 Room | 15, 0.84%, see rank | 1.43% | 2.20% |
2 Rooms | 32, 1.79%, see rank | 3.23% | 4.81% |
3 Rooms | 121, 6.75%, see rank | 8.01% | 9.84% |
4 Rooms | 363, 20.26%, see rank | 16.62% | 15.97% |
5 Rooms | 377, 21.04%, see rank | 22.65% | 20.89% |
6 Rooms | 373, 20.81%, see rank | 19.16% | 18.45% |
7 Rooms | 247, 13.78%, see rank | 12.91% | 12.06% |
8 Rooms | 159, 8.87%, see rank | 8.44% | 8.06% |
9 Rooms or More | 105, 5.86%, see rank | 7.56% | 7.70% |
Median Rooms | 5.50, 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.