53156 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53156 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,400, 100% | 2,635,602 | 132,741,033 |
1 Room | 15, 1.07%, see rank | 1.60% | 1.95% |
2 Rooms | 7, 0.50%, see rank | 2.32% | 2.48% |
3 Rooms | 114, 8.14%, see rank | 8.42% | 9.13% |
4 Rooms | 193, 13.79%, see rank | 16.51% | 16.60% |
5 Rooms | 344, 24.57%, see rank | 20.77% | 20.41% |
6 Rooms | 279, 19.93%, see rank | 17.70% | 18.06% |
7 Rooms | 185, 13.21%, see rank | 12.69% | 12.27% |
8 Rooms | 140, 10.00%, see rank | 8.89% | 8.48% |
9 Rooms or More | 123, 8.79%, see rank | 11.10% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53156 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,419, 100% | 2,620,401 | 131,642,457 |
1 Room | 32, 2.26%, see rank | 1.62% | 1.95% |
2 Rooms | 5, 0.35%, see rank | 2.17% | 2.36% |
3 Rooms | 121, 8.53%, see rank | 8.33% | 8.97% |
4 Rooms | 147, 10.36%, see rank | 16.46% | 16.57% |
5 Rooms | 386, 27.20%, see rank | 20.74% | 20.41% |
6 Rooms | 291, 20.51%, see rank | 17.92% | 18.25% |
7 Rooms | 158, 11.13%, see rank | 12.78% | 12.38% |
8 Rooms | 135, 9.51%, see rank | 8.94% | 8.59% |
9 Rooms or More | 144, 10.15%, see rank | 11.03% | 10.52% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53156 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,241, 100% | 2,321,144 | 115,904,641 |
1 Room | 5, 0.40%, see rank | 1.43% | 2.20% |
2 Rooms | 18, 1.45%, see rank | 3.23% | 4.81% |
3 Rooms | 82, 6.61%, see rank | 8.01% | 9.84% |
4 Rooms | 157, 12.65%, see rank | 16.62% | 15.97% |
5 Rooms | 307, 24.74%, see rank | 22.65% | 20.89% |
6 Rooms | 285, 22.97%, see rank | 19.16% | 18.45% |
7 Rooms | 195, 15.71%, see rank | 12.91% | 12.06% |
8 Rooms | 117, 9.43%, see rank | 8.44% | 8.06% |
9 Rooms or More | 75, 6.04%, see rank | 7.56% | 7.70% |
Median Rooms | 5.70, 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.