53090 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53090 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,076, 100% | 2,635,602 | 132,741,033 |
1 Room | 15, 0.17%, see rank | 1.60% | 1.95% |
2 Rooms | 39, 0.43%, see rank | 2.32% | 2.48% |
3 Rooms | 419, 4.62%, see rank | 8.42% | 9.13% |
4 Rooms | 1,425, 15.70%, see rank | 16.51% | 16.60% |
5 Rooms | 1,851, 20.39%, see rank | 20.77% | 20.41% |
6 Rooms | 2,045, 22.53%, see rank | 17.70% | 18.06% |
7 Rooms | 1,344, 14.81%, see rank | 12.69% | 12.27% |
8 Rooms | 1,001, 11.03%, see rank | 8.89% | 8.48% |
9 Rooms or More | 937, 10.32%, see rank | 11.10% | 10.60% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53090 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,031, 100% | 2,620,401 | 131,642,457 |
1 Room | 25, 0.28%, see rank | 1.62% | 1.95% |
2 Rooms | 35, 0.39%, see rank | 2.17% | 2.36% |
3 Rooms | 467, 5.17%, see rank | 8.33% | 8.97% |
4 Rooms | 1,299, 14.38%, see rank | 16.46% | 16.57% |
5 Rooms | 1,899, 21.03%, see rank | 20.74% | 20.41% |
6 Rooms | 2,251, 24.93%, see rank | 17.92% | 18.25% |
7 Rooms | 1,387, 15.36%, see rank | 12.78% | 12.38% |
8 Rooms | 864, 9.57%, see rank | 8.94% | 8.59% |
9 Rooms or More | 804, 8.90%, see rank | 11.03% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53090 Zip Code | Wisconsin | U.S. |
Total Housing Units | 7,560, 100% | 2,321,144 | 115,904,641 |
1 Room | 30, 0.40%, see rank | 1.43% | 2.20% |
2 Rooms | 107, 1.42%, see rank | 3.23% | 4.81% |
3 Rooms | 300, 3.97%, see rank | 8.01% | 9.84% |
4 Rooms | 1,089, 14.40%, see rank | 16.62% | 15.97% |
5 Rooms | 1,954, 25.85%, see rank | 22.65% | 20.89% |
6 Rooms | 1,829, 24.19%, see rank | 19.16% | 18.45% |
7 Rooms | 1,218, 16.11%, see rank | 12.91% | 12.06% |
8 Rooms | 706, 9.34%, see rank | 8.44% | 8.06% |
9 Rooms or More | 327, 4.33%, see rank | 7.56% | 7.70% |
Median Rooms | 5.70, 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.