54484 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54484 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,988, 100% | 2,635,602 | 132,741,033 |
1 Room | 6, 0.30%, see rank | 1.60% | 1.95% |
2 Rooms | 30, 1.51%, see rank | 2.32% | 2.48% |
3 Rooms | 61, 3.07%, see rank | 8.42% | 9.13% |
4 Rooms | 107, 5.38%, see rank | 16.51% | 16.60% |
5 Rooms | 494, 24.85%, see rank | 20.77% | 20.41% |
6 Rooms | 416, 20.93%, see rank | 17.70% | 18.06% |
7 Rooms | 299, 15.04%, see rank | 12.69% | 12.27% |
8 Rooms | 269, 13.53%, see rank | 8.89% | 8.48% |
9 Rooms or More | 306, 15.39%, see rank | 11.10% | 10.60% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54484 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,020, 100% | 2,620,401 | 131,642,457 |
1 Room | 6, 0.30%, see rank | 1.62% | 1.95% |
2 Rooms | 34, 1.68%, see rank | 2.17% | 2.36% |
3 Rooms | 59, 2.92%, see rank | 8.33% | 8.97% |
4 Rooms | 165, 8.17%, see rank | 16.46% | 16.57% |
5 Rooms | 432, 21.39%, see rank | 20.74% | 20.41% |
6 Rooms | 421, 20.84%, see rank | 17.92% | 18.25% |
7 Rooms | 327, 16.19%, see rank | 12.78% | 12.38% |
8 Rooms | 272, 13.47%, see rank | 8.94% | 8.59% |
9 Rooms or More | 304, 15.05%, see rank | 11.03% | 10.52% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54484 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,728, 100% | 2,321,144 | 115,904,641 |
1 Room | 11, 0.64%, see rank | 1.43% | 2.20% |
2 Rooms | 18, 1.04%, see rank | 3.23% | 4.81% |
3 Rooms | 72, 4.17%, see rank | 8.01% | 9.84% |
4 Rooms | 217, 12.56%, see rank | 16.62% | 15.97% |
5 Rooms | 406, 23.50%, see rank | 22.65% | 20.89% |
6 Rooms | 413, 23.90%, see rank | 19.16% | 18.45% |
7 Rooms | 249, 14.41%, see rank | 12.91% | 12.06% |
8 Rooms | 182, 10.53%, see rank | 8.44% | 8.06% |
9 Rooms or More | 160, 9.26%, see rank | 7.56% | 7.70% |
Median Rooms | 5.80, 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.