54870 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54870 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,497, 100% | 2,635,602 | 132,741,033 |
1 Room | 13, 0.87%, see rank | 1.60% | 1.95% |
2 Rooms | 15, 1.00%, see rank | 2.32% | 2.48% |
3 Rooms | 114, 7.62%, see rank | 8.42% | 9.13% |
4 Rooms | 324, 21.64%, see rank | 16.51% | 16.60% |
5 Rooms | 283, 18.90%, see rank | 20.77% | 20.41% |
6 Rooms | 289, 19.31%, see rank | 17.70% | 18.06% |
7 Rooms | 148, 9.89%, see rank | 12.69% | 12.27% |
8 Rooms | 170, 11.36%, see rank | 8.89% | 8.48% |
9 Rooms or More | 141, 9.42%, see rank | 11.10% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54870 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,515, 100% | 2,620,401 | 131,642,457 |
1 Room | 15, 0.99%, see rank | 1.62% | 1.95% |
2 Rooms | 34, 2.24%, see rank | 2.17% | 2.36% |
3 Rooms | 155, 10.23%, see rank | 8.33% | 8.97% |
4 Rooms | 313, 20.66%, see rank | 16.46% | 16.57% |
5 Rooms | 253, 16.70%, see rank | 20.74% | 20.41% |
6 Rooms | 295, 19.47%, see rank | 17.92% | 18.25% |
7 Rooms | 202, 13.33%, see rank | 12.78% | 12.38% |
8 Rooms | 130, 8.58%, see rank | 8.94% | 8.59% |
9 Rooms or More | 118, 7.79%, see rank | 11.03% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54870 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,333, 100% | 2,321,144 | 115,904,641 |
1 Room | 22, 1.65%, see rank | 1.43% | 2.20% |
2 Rooms | 40, 3.00%, see rank | 3.23% | 4.81% |
3 Rooms | 183, 13.73%, see rank | 8.01% | 9.84% |
4 Rooms | 307, 23.03%, see rank | 16.62% | 15.97% |
5 Rooms | 266, 19.95%, see rank | 22.65% | 20.89% |
6 Rooms | 181, 13.58%, see rank | 19.16% | 18.45% |
7 Rooms | 143, 10.73%, see rank | 12.91% | 12.06% |
8 Rooms | 107, 8.03%, see rank | 8.44% | 8.06% |
9 Rooms or More | 84, 6.30%, see rank | 7.56% | 7.70% |
Median Rooms | 4.90, 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.