54140 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54140 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,811, 100% | 2,635,602 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.60% | 1.95% |
2 Rooms | 41, 1.08%, see rank | 2.32% | 2.48% |
3 Rooms | 193, 5.06%, see rank | 8.42% | 9.13% |
4 Rooms | 730, 19.16%, see rank | 16.51% | 16.60% |
5 Rooms | 910, 23.88%, see rank | 20.77% | 20.41% |
6 Rooms | 975, 25.58%, see rank | 17.70% | 18.06% |
7 Rooms | 370, 9.71%, see rank | 12.69% | 12.27% |
8 Rooms | 220, 5.77%, see rank | 8.89% | 8.48% |
9 Rooms or More | 372, 9.76%, see rank | 11.10% | 10.60% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54140 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,730, 100% | 2,620,401 | 131,642,457 |
1 Room | 19, 0.51%, see rank | 1.62% | 1.95% |
2 Rooms | 16, 0.43%, see rank | 2.17% | 2.36% |
3 Rooms | 272, 7.29%, see rank | 8.33% | 8.97% |
4 Rooms | 698, 18.71%, see rank | 16.46% | 16.57% |
5 Rooms | 980, 26.27%, see rank | 20.74% | 20.41% |
6 Rooms | 714, 19.14%, see rank | 17.92% | 18.25% |
7 Rooms | 432, 11.58%, see rank | 12.78% | 12.38% |
8 Rooms | 221, 5.92%, see rank | 8.94% | 8.59% |
9 Rooms or More | 378, 10.13%, see rank | 11.03% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54140 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,226, 100% | 2,321,144 | 115,904,641 |
1 Room | 7, 0.22%, see rank | 1.43% | 2.20% |
2 Rooms | 47, 1.46%, see rank | 3.23% | 4.81% |
3 Rooms | 156, 4.84%, see rank | 8.01% | 9.84% |
4 Rooms | 735, 22.78%, see rank | 16.62% | 15.97% |
5 Rooms | 855, 26.50%, see rank | 22.65% | 20.89% |
6 Rooms | 696, 21.57%, see rank | 19.16% | 18.45% |
7 Rooms | 379, 11.75%, see rank | 12.91% | 12.06% |
8 Rooms | 184, 5.70%, see rank | 8.44% | 8.06% |
9 Rooms or More | 167, 5.18%, see rank | 7.56% | 7.70% |
Median Rooms | 5.30, 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.