53528 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53528 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,355, 100% | 2,635,602 | 132,741,033 |
1 Room | 24, 1.02%, see rank | 1.60% | 1.95% |
2 Rooms | 11, 0.47%, see rank | 2.32% | 2.48% |
3 Rooms | 158, 6.71%, see rank | 8.42% | 9.13% |
4 Rooms | 216, 9.17%, see rank | 16.51% | 16.60% |
5 Rooms | 248, 10.53%, see rank | 20.77% | 20.41% |
6 Rooms | 425, 18.05%, see rank | 17.70% | 18.06% |
7 Rooms | 389, 16.52%, see rank | 12.69% | 12.27% |
8 Rooms | 329, 13.97%, see rank | 8.89% | 8.48% |
9 Rooms or More | 555, 23.57%, see rank | 11.10% | 10.60% |
Median Rooms | 6.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53528 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,401, 100% | 2,620,401 | 131,642,457 |
1 Room | 18, 0.75%, see rank | 1.62% | 1.95% |
2 Rooms | 37, 1.54%, see rank | 2.17% | 2.36% |
3 Rooms | 158, 6.58%, see rank | 8.33% | 8.97% |
4 Rooms | 206, 8.58%, see rank | 16.46% | 16.57% |
5 Rooms | 332, 13.83%, see rank | 20.74% | 20.41% |
6 Rooms | 363, 15.12%, see rank | 17.92% | 18.25% |
7 Rooms | 341, 14.20%, see rank | 12.78% | 12.38% |
8 Rooms | 310, 12.91%, see rank | 8.94% | 8.59% |
9 Rooms or More | 636, 26.49%, see rank | 11.03% | 10.52% |
Median Rooms | 6.80, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53528 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,959, 100% | 2,321,144 | 115,904,641 |
1 Room | 20, 1.02%, see rank | 1.43% | 2.20% |
2 Rooms | 52, 2.65%, see rank | 3.23% | 4.81% |
3 Rooms | 81, 4.13%, see rank | 8.01% | 9.84% |
4 Rooms | 226, 11.54%, see rank | 16.62% | 15.97% |
5 Rooms | 301, 15.36%, see rank | 22.65% | 20.89% |
6 Rooms | 390, 19.91%, see rank | 19.16% | 18.45% |
7 Rooms | 360, 18.38%, see rank | 12.91% | 12.06% |
8 Rooms | 245, 12.51%, see rank | 8.44% | 8.06% |
9 Rooms or More | 284, 14.50%, 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.