53038 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53038 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,655, 100% | 2,635,602 | 132,741,033 |
1 Room | 24, 1.45%, see rank | 1.60% | 1.95% |
2 Rooms | 5, 0.30%, see rank | 2.32% | 2.48% |
3 Rooms | 94, 5.68%, see rank | 8.42% | 9.13% |
4 Rooms | 285, 17.22%, see rank | 16.51% | 16.60% |
5 Rooms | 358, 21.63%, see rank | 20.77% | 20.41% |
6 Rooms | 275, 16.62%, see rank | 17.70% | 18.06% |
7 Rooms | 188, 11.36%, see rank | 12.69% | 12.27% |
8 Rooms | 206, 12.45%, see rank | 8.89% | 8.48% |
9 Rooms or More | 220, 13.29%, see rank | 11.10% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53038 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,543, 100% | 2,620,401 | 131,642,457 |
1 Room | 13, 0.84%, see rank | 1.62% | 1.95% |
2 Rooms | 7, 0.45%, see rank | 2.17% | 2.36% |
3 Rooms | 71, 4.60%, see rank | 8.33% | 8.97% |
4 Rooms | 266, 17.24%, see rank | 16.46% | 16.57% |
5 Rooms | 360, 23.33%, see rank | 20.74% | 20.41% |
6 Rooms | 253, 16.40%, see rank | 17.92% | 18.25% |
7 Rooms | 180, 11.67%, see rank | 12.78% | 12.38% |
8 Rooms | 192, 12.44%, see rank | 8.94% | 8.59% |
9 Rooms or More | 201, 13.03%, see rank | 11.03% | 10.52% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53038 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,185, 100% | 2,321,144 | 115,904,641 |
1 Room | 1, 0.08%, see rank | 1.43% | 2.20% |
2 Rooms | 17, 1.43%, see rank | 3.23% | 4.81% |
3 Rooms | 35, 2.95%, see rank | 8.01% | 9.84% |
4 Rooms | 271, 22.87%, see rank | 16.62% | 15.97% |
5 Rooms | 270, 22.78%, see rank | 22.65% | 20.89% |
6 Rooms | 198, 16.71%, see rank | 19.16% | 18.45% |
7 Rooms | 189, 15.95%, see rank | 12.91% | 12.06% |
8 Rooms | 133, 11.22%, see rank | 8.44% | 8.06% |
9 Rooms or More | 71, 5.99%, see rank | 7.56% | 7.70% |
Median Rooms | 5.50, 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.