53150 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53150 Zip Code | Wisconsin | U.S. |
Total Housing Units | 10,206, 100% | 2,635,602 | 132,741,033 |
1 Room | 75, 0.73%, see rank | 1.60% | 1.95% |
2 Rooms | 132, 1.29%, see rank | 2.32% | 2.48% |
3 Rooms | 479, 4.69%, see rank | 8.42% | 9.13% |
4 Rooms | 900, 8.82%, see rank | 16.51% | 16.60% |
5 Rooms | 1,703, 16.69%, see rank | 20.77% | 20.41% |
6 Rooms | 2,147, 21.04%, see rank | 17.70% | 18.06% |
7 Rooms | 1,816, 17.79%, see rank | 12.69% | 12.27% |
8 Rooms | 1,423, 13.94%, see rank | 8.89% | 8.48% |
9 Rooms or More | 1,531, 15.00%, see rank | 11.10% | 10.60% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53150 Zip Code | Wisconsin | U.S. |
Total Housing Units | 10,056, 100% | 2,620,401 | 131,642,457 |
1 Room | 35, 0.35%, see rank | 1.62% | 1.95% |
2 Rooms | 105, 1.04%, see rank | 2.17% | 2.36% |
3 Rooms | 398, 3.96%, see rank | 8.33% | 8.97% |
4 Rooms | 898, 8.93%, see rank | 16.46% | 16.57% |
5 Rooms | 1,580, 15.71%, see rank | 20.74% | 20.41% |
6 Rooms | 2,532, 25.18%, see rank | 17.92% | 18.25% |
7 Rooms | 1,720, 17.10%, see rank | 12.78% | 12.38% |
8 Rooms | 1,387, 13.79%, see rank | 8.94% | 8.59% |
9 Rooms or More | 1,401, 13.93%, see rank | 11.03% | 10.52% |
Median Rooms | 6.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53150 Zip Code | Wisconsin | U.S. |
Total Housing Units | 7,799, 100% | 2,321,144 | 115,904,641 |
1 Room | 23, 0.29%, see rank | 1.43% | 2.20% |
2 Rooms | 132, 1.69%, see rank | 3.23% | 4.81% |
3 Rooms | 209, 2.68%, see rank | 8.01% | 9.84% |
4 Rooms | 899, 11.53%, see rank | 16.62% | 15.97% |
5 Rooms | 1,443, 18.50%, see rank | 22.65% | 20.89% |
6 Rooms | 2,018, 25.88%, see rank | 19.16% | 18.45% |
7 Rooms | 1,619, 20.76%, see rank | 12.91% | 12.06% |
8 Rooms | 874, 11.21%, see rank | 8.44% | 8.06% |
9 Rooms or More | 582, 7.46%, see rank | 7.56% | 7.70% |
Median Rooms | 6.10, 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.