54534 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54534 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,831, 100% | 2,635,602 | 132,741,033 |
1 Room | 70, 3.82%, see rank | 1.60% | 1.95% |
2 Rooms | 113, 6.17%, see rank | 2.32% | 2.48% |
3 Rooms | 195, 10.65%, see rank | 8.42% | 9.13% |
4 Rooms | 378, 20.64%, see rank | 16.51% | 16.60% |
5 Rooms | 439, 23.98%, see rank | 20.77% | 20.41% |
6 Rooms | 299, 16.33%, see rank | 17.70% | 18.06% |
7 Rooms | 184, 10.05%, see rank | 12.69% | 12.27% |
8 Rooms | 103, 5.63%, see rank | 8.89% | 8.48% |
9 Rooms or More | 50, 2.73%, see rank | 11.10% | 10.60% |
Median Rooms | 4.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54534 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,808, 100% | 2,620,401 | 131,642,457 |
1 Room | 56, 3.10%, see rank | 1.62% | 1.95% |
2 Rooms | 101, 5.59%, see rank | 2.17% | 2.36% |
3 Rooms | 174, 9.62%, see rank | 8.33% | 8.97% |
4 Rooms | 291, 16.10%, see rank | 16.46% | 16.57% |
5 Rooms | 552, 30.53%, see rank | 20.74% | 20.41% |
6 Rooms | 306, 16.92%, see rank | 17.92% | 18.25% |
7 Rooms | 151, 8.35%, see rank | 12.78% | 12.38% |
8 Rooms | 134, 7.41%, see rank | 8.94% | 8.59% |
9 Rooms or More | 43, 2.38%, see rank | 11.03% | 10.52% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54534 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,902, 100% | 2,321,144 | 115,904,641 |
1 Room | 29, 1.52%, see rank | 1.43% | 2.20% |
2 Rooms | 144, 7.57%, see rank | 3.23% | 4.81% |
3 Rooms | 264, 13.88%, see rank | 8.01% | 9.84% |
4 Rooms | 318, 16.72%, see rank | 16.62% | 15.97% |
5 Rooms | 406, 21.35%, see rank | 22.65% | 20.89% |
6 Rooms | 334, 17.56%, see rank | 19.16% | 18.45% |
7 Rooms | 212, 11.15%, see rank | 12.91% | 12.06% |
8 Rooms | 127, 6.68%, see rank | 8.44% | 8.06% |
9 Rooms or More | 68, 3.58%, see rank | 7.56% | 7.70% |
Median Rooms | 5.00, 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.