53530 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53530 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,946, 100% | 2,635,602 | 132,741,033 |
1 Room | 4, 0.21%, see rank | 1.60% | 1.95% |
2 Rooms | 6, 0.31%, see rank | 2.32% | 2.48% |
3 Rooms | 124, 6.37%, see rank | 8.42% | 9.13% |
4 Rooms | 252, 12.95%, see rank | 16.51% | 16.60% |
5 Rooms | 362, 18.60%, see rank | 20.77% | 20.41% |
6 Rooms | 321, 16.50%, see rank | 17.70% | 18.06% |
7 Rooms | 321, 16.50%, see rank | 12.69% | 12.27% |
8 Rooms | 265, 13.62%, see rank | 8.89% | 8.48% |
9 Rooms or More | 291, 14.95%, see rank | 11.10% | 10.60% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53530 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,875, 100% | 2,620,401 | 131,642,457 |
1 Room | 4, 0.21%, see rank | 1.62% | 1.95% |
2 Rooms | 13, 0.69%, see rank | 2.17% | 2.36% |
3 Rooms | 72, 3.84%, see rank | 8.33% | 8.97% |
4 Rooms | 276, 14.72%, see rank | 16.46% | 16.57% |
5 Rooms | 327, 17.44%, see rank | 20.74% | 20.41% |
6 Rooms | 344, 18.35%, see rank | 17.92% | 18.25% |
7 Rooms | 297, 15.84%, see rank | 12.78% | 12.38% |
8 Rooms | 252, 13.44%, see rank | 8.94% | 8.59% |
9 Rooms or More | 290, 15.47%, see rank | 11.03% | 10.52% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53530 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,816, 100% | 2,321,144 | 115,904,641 |
1 Room | 7, 0.39%, see rank | 1.43% | 2.20% |
2 Rooms | 7, 0.39%, see rank | 3.23% | 4.81% |
3 Rooms | 95, 5.23%, see rank | 8.01% | 9.84% |
4 Rooms | 264, 14.54%, see rank | 16.62% | 15.97% |
5 Rooms | 277, 15.25%, see rank | 22.65% | 20.89% |
6 Rooms | 347, 19.11%, see rank | 19.16% | 18.45% |
7 Rooms | 367, 20.21%, see rank | 12.91% | 12.06% |
8 Rooms | 251, 13.82%, see rank | 8.44% | 8.06% |
9 Rooms or More | 201, 11.07%, see rank | 7.56% | 7.70% |
Median Rooms | 6.20, 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.