54023 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54023 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,462, 100% | 2,635,602 | 132,741,033 |
1 Room | 4, 0.27%, see rank | 1.60% | 1.95% |
2 Rooms | 11, 0.75%, see rank | 2.32% | 2.48% |
3 Rooms | 92, 6.29%, see rank | 8.42% | 9.13% |
4 Rooms | 154, 10.53%, see rank | 16.51% | 16.60% |
5 Rooms | 185, 12.65%, see rank | 20.77% | 20.41% |
6 Rooms | 243, 16.62%, see rank | 17.70% | 18.06% |
7 Rooms | 294, 20.11%, see rank | 12.69% | 12.27% |
8 Rooms | 193, 13.20%, see rank | 8.89% | 8.48% |
9 Rooms or More | 286, 19.56%, see rank | 11.10% | 10.60% |
Median Rooms | 6.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54023 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,405, 100% | 2,620,401 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.62% | 1.95% |
2 Rooms | 17, 1.21%, see rank | 2.17% | 2.36% |
3 Rooms | 63, 4.48%, see rank | 8.33% | 8.97% |
4 Rooms | 148, 10.53%, see rank | 16.46% | 16.57% |
5 Rooms | 250, 17.79%, see rank | 20.74% | 20.41% |
6 Rooms | 240, 17.08%, see rank | 17.92% | 18.25% |
7 Rooms | 248, 17.65%, see rank | 12.78% | 12.38% |
8 Rooms | 214, 15.23%, see rank | 8.94% | 8.59% |
9 Rooms or More | 225, 16.01%, see rank | 11.03% | 10.52% |
Median Rooms | 6.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54023 Zip Code | Wisconsin | U.S. |
Total Housing Units | 969, 100% | 2,321,144 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.43% | 2.20% |
2 Rooms | 22, 2.27%, see rank | 3.23% | 4.81% |
3 Rooms | 40, 4.13%, see rank | 8.01% | 9.84% |
4 Rooms | 106, 10.94%, see rank | 16.62% | 15.97% |
5 Rooms | 179, 18.47%, see rank | 22.65% | 20.89% |
6 Rooms | 178, 18.37%, see rank | 19.16% | 18.45% |
7 Rooms | 152, 15.69%, see rank | 12.91% | 12.06% |
8 Rooms | 149, 15.38%, see rank | 8.44% | 8.06% |
9 Rooms or More | 143, 14.76%, see rank | 7.56% | 7.70% |
Median Rooms | 6.30, 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.