53182 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53182 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,483, 100% | 2,635,602 | 132,741,033 |
1 Room | 45, 1.29%, see rank | 1.60% | 1.95% |
2 Rooms | 89, 2.56%, see rank | 2.32% | 2.48% |
3 Rooms | 152, 4.36%, see rank | 8.42% | 9.13% |
4 Rooms | 477, 13.70%, see rank | 16.51% | 16.60% |
5 Rooms | 586, 16.82%, see rank | 20.77% | 20.41% |
6 Rooms | 822, 23.60%, see rank | 17.70% | 18.06% |
7 Rooms | 579, 16.62%, see rank | 12.69% | 12.27% |
8 Rooms | 400, 11.48%, see rank | 8.89% | 8.48% |
9 Rooms or More | 333, 9.56%, see rank | 11.10% | 10.60% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53182 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,408, 100% | 2,620,401 | 131,642,457 |
1 Room | 33, 0.97%, see rank | 1.62% | 1.95% |
2 Rooms | 80, 2.35%, see rank | 2.17% | 2.36% |
3 Rooms | 189, 5.55%, see rank | 8.33% | 8.97% |
4 Rooms | 465, 13.64%, see rank | 16.46% | 16.57% |
5 Rooms | 778, 22.83%, see rank | 20.74% | 20.41% |
6 Rooms | 769, 22.56%, see rank | 17.92% | 18.25% |
7 Rooms | 500, 14.67%, see rank | 12.78% | 12.38% |
8 Rooms | 341, 10.01%, see rank | 8.94% | 8.59% |
9 Rooms or More | 253, 7.42%, see rank | 11.03% | 10.52% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53182 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,927, 100% | 2,321,144 | 115,904,641 |
1 Room | 16, 0.55%, see rank | 1.43% | 2.20% |
2 Rooms | 68, 2.32%, see rank | 3.23% | 4.81% |
3 Rooms | 172, 5.88%, see rank | 8.01% | 9.84% |
4 Rooms | 505, 17.25%, see rank | 16.62% | 15.97% |
5 Rooms | 673, 22.99%, see rank | 22.65% | 20.89% |
6 Rooms | 696, 23.78%, see rank | 19.16% | 18.45% |
7 Rooms | 355, 12.13%, see rank | 12.91% | 12.06% |
8 Rooms | 286, 9.77%, see rank | 8.44% | 8.06% |
9 Rooms or More | 156, 5.33%, 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.