53210 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53210 Zip Code | Wisconsin | U.S. |
Total Housing Units | 11,755, 100% | 2,635,602 | 132,741,033 |
1 Room | 128, 1.09%, see rank | 1.60% | 1.95% |
2 Rooms | 84, 0.71%, see rank | 2.32% | 2.48% |
3 Rooms | 695, 5.91%, see rank | 8.42% | 9.13% |
4 Rooms | 1,453, 12.36%, see rank | 16.51% | 16.60% |
5 Rooms | 3,980, 33.86%, see rank | 20.77% | 20.41% |
6 Rooms | 2,729, 23.22%, see rank | 17.70% | 18.06% |
7 Rooms | 1,284, 10.92%, see rank | 12.69% | 12.27% |
8 Rooms | 888, 7.55%, see rank | 8.89% | 8.48% |
9 Rooms or More | 514, 4.37%, see rank | 11.10% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53210 Zip Code | Wisconsin | U.S. |
Total Housing Units | 11,770, 100% | 2,620,401 | 131,642,457 |
1 Room | 342, 2.91%, see rank | 1.62% | 1.95% |
2 Rooms | 57, 0.48%, see rank | 2.17% | 2.36% |
3 Rooms | 683, 5.80%, see rank | 8.33% | 8.97% |
4 Rooms | 1,614, 13.71%, see rank | 16.46% | 16.57% |
5 Rooms | 3,612, 30.69%, see rank | 20.74% | 20.41% |
6 Rooms | 2,334, 19.83%, see rank | 17.92% | 18.25% |
7 Rooms | 1,609, 13.67%, see rank | 12.78% | 12.38% |
8 Rooms | 882, 7.49%, see rank | 8.94% | 8.59% |
9 Rooms or More | 637, 5.41%, see rank | 11.03% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53210 Zip Code | Wisconsin | U.S. |
Total Housing Units | 11,410, 100% | 2,321,144 | 115,904,641 |
1 Room | 94, 0.82%, see rank | 1.43% | 2.20% |
2 Rooms | 229, 2.01%, see rank | 3.23% | 4.81% |
3 Rooms | 707, 6.20%, see rank | 8.01% | 9.84% |
4 Rooms | 1,251, 10.96%, see rank | 16.62% | 15.97% |
5 Rooms | 3,598, 31.53%, see rank | 22.65% | 20.89% |
6 Rooms | 2,712, 23.77%, see rank | 19.16% | 18.45% |
7 Rooms | 1,337, 11.72%, see rank | 12.91% | 12.06% |
8 Rooms | 756, 6.63%, see rank | 8.44% | 8.06% |
9 Rooms or More | 726, 6.36%, 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.