54538 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54538 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,215, 100% | 2,635,602 | 132,741,033 |
1 Room | 40, 1.24%, see rank | 1.60% | 1.95% |
2 Rooms | 79, 2.46%, see rank | 2.32% | 2.48% |
3 Rooms | 294, 9.14%, see rank | 8.42% | 9.13% |
4 Rooms | 815, 25.35%, see rank | 16.51% | 16.60% |
5 Rooms | 1,102, 34.28%, see rank | 20.77% | 20.41% |
6 Rooms | 473, 14.71%, see rank | 17.70% | 18.06% |
7 Rooms | 200, 6.22%, see rank | 12.69% | 12.27% |
8 Rooms | 89, 2.77%, see rank | 8.89% | 8.48% |
9 Rooms or More | 123, 3.83%, see rank | 11.10% | 10.60% |
Median Rooms | 4.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54538 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,109, 100% | 2,620,401 | 131,642,457 |
1 Room | 44, 1.42%, see rank | 1.62% | 1.95% |
2 Rooms | 77, 2.48%, see rank | 2.17% | 2.36% |
3 Rooms | 320, 10.29%, see rank | 8.33% | 8.97% |
4 Rooms | 619, 19.91%, see rank | 16.46% | 16.57% |
5 Rooms | 997, 32.07%, see rank | 20.74% | 20.41% |
6 Rooms | 515, 16.56%, see rank | 17.92% | 18.25% |
7 Rooms | 271, 8.72%, see rank | 12.78% | 12.38% |
8 Rooms | 121, 3.89%, see rank | 8.94% | 8.59% |
9 Rooms or More | 145, 4.66%, see rank | 11.03% | 10.52% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54538 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,378, 100% | 2,321,144 | 115,904,641 |
1 Room | 22, 0.93%, see rank | 1.43% | 2.20% |
2 Rooms | 36, 1.51%, see rank | 3.23% | 4.81% |
3 Rooms | 273, 11.48%, see rank | 8.01% | 9.84% |
4 Rooms | 483, 20.31%, see rank | 16.62% | 15.97% |
5 Rooms | 713, 29.98%, see rank | 22.65% | 20.89% |
6 Rooms | 436, 18.33%, see rank | 19.16% | 18.45% |
7 Rooms | 229, 9.63%, see rank | 12.91% | 12.06% |
8 Rooms | 99, 4.16%, see rank | 8.44% | 8.06% |
9 Rooms or More | 87, 3.66%, 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.