54876 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54876 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,175, 100% | 2,635,602 | 132,741,033 |
1 Room | 16, 0.74%, see rank | 1.60% | 1.95% |
2 Rooms | 116, 5.33%, see rank | 2.32% | 2.48% |
3 Rooms | 310, 14.25%, see rank | 8.42% | 9.13% |
4 Rooms | 503, 23.13%, see rank | 16.51% | 16.60% |
5 Rooms | 585, 26.90%, see rank | 20.77% | 20.41% |
6 Rooms | 255, 11.72%, see rank | 17.70% | 18.06% |
7 Rooms | 190, 8.74%, see rank | 12.69% | 12.27% |
8 Rooms | 127, 5.84%, see rank | 8.89% | 8.48% |
9 Rooms or More | 73, 3.36%, see rank | 11.10% | 10.60% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54876 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,982, 100% | 2,620,401 | 131,642,457 |
1 Room | 11, 0.55%, see rank | 1.62% | 1.95% |
2 Rooms | 132, 6.66%, see rank | 2.17% | 2.36% |
3 Rooms | 290, 14.63%, see rank | 8.33% | 8.97% |
4 Rooms | 464, 23.41%, see rank | 16.46% | 16.57% |
5 Rooms | 488, 24.62%, see rank | 20.74% | 20.41% |
6 Rooms | 254, 12.82%, see rank | 17.92% | 18.25% |
7 Rooms | 156, 7.87%, see rank | 12.78% | 12.38% |
8 Rooms | 109, 5.50%, see rank | 8.94% | 8.59% |
9 Rooms or More | 78, 3.94%, see rank | 11.03% | 10.52% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54876 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,895, 100% | 2,321,144 | 115,904,641 |
1 Room | 49, 2.59%, see rank | 1.43% | 2.20% |
2 Rooms | 53, 2.80%, see rank | 3.23% | 4.81% |
3 Rooms | 143, 7.55%, see rank | 8.01% | 9.84% |
4 Rooms | 390, 20.58%, see rank | 16.62% | 15.97% |
5 Rooms | 495, 26.12%, see rank | 22.65% | 20.89% |
6 Rooms | 406, 21.42%, see rank | 19.16% | 18.45% |
7 Rooms | 153, 8.07%, see rank | 12.91% | 12.06% |
8 Rooms | 111, 5.86%, see rank | 8.44% | 8.06% |
9 Rooms or More | 95, 5.01%, see rank | 7.56% | 7.70% |
Median Rooms | 5.10, 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.