53149 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53149 Zip Code | Wisconsin | U.S. |
Total Housing Units | 7,572, 100% | 2,635,602 | 132,741,033 |
1 Room | 78, 1.03%, see rank | 1.60% | 1.95% |
2 Rooms | 106, 1.40%, see rank | 2.32% | 2.48% |
3 Rooms | 203, 2.68%, see rank | 8.42% | 9.13% |
4 Rooms | 540, 7.13%, see rank | 16.51% | 16.60% |
5 Rooms | 1,222, 16.14%, see rank | 20.77% | 20.41% |
6 Rooms | 1,589, 20.99%, see rank | 17.70% | 18.06% |
7 Rooms | 1,394, 18.41%, see rank | 12.69% | 12.27% |
8 Rooms | 1,199, 15.83%, see rank | 8.89% | 8.48% |
9 Rooms or More | 1,241, 16.39%, see rank | 11.10% | 10.60% |
Median Rooms | 6.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53149 Zip Code | Wisconsin | U.S. |
Total Housing Units | 7,493, 100% | 2,620,401 | 131,642,457 |
1 Room | 70, 0.93%, see rank | 1.62% | 1.95% |
2 Rooms | 83, 1.11%, see rank | 2.17% | 2.36% |
3 Rooms | 303, 4.04%, see rank | 8.33% | 8.97% |
4 Rooms | 594, 7.93%, see rank | 16.46% | 16.57% |
5 Rooms | 1,375, 18.35%, see rank | 20.74% | 20.41% |
6 Rooms | 1,521, 20.30%, see rank | 17.92% | 18.25% |
7 Rooms | 1,400, 18.68%, see rank | 12.78% | 12.38% |
8 Rooms | 1,052, 14.04%, see rank | 8.94% | 8.59% |
9 Rooms or More | 1,095, 14.61%, see rank | 11.03% | 10.52% |
Median Rooms | 6.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53149 Zip Code | Wisconsin | U.S. |
Total Housing Units | 6,214, 100% | 2,321,144 | 115,904,641 |
1 Room | 70, 1.13%, see rank | 1.43% | 2.20% |
2 Rooms | 124, 2.00%, see rank | 3.23% | 4.81% |
3 Rooms | 257, 4.14%, see rank | 8.01% | 9.84% |
4 Rooms | 637, 10.25%, see rank | 16.62% | 15.97% |
5 Rooms | 1,154, 18.57%, see rank | 22.65% | 20.89% |
6 Rooms | 1,387, 22.32%, see rank | 19.16% | 18.45% |
7 Rooms | 1,131, 18.20%, see rank | 12.91% | 12.06% |
8 Rooms | 836, 13.45%, see rank | 8.44% | 8.06% |
9 Rooms or More | 618, 9.95%, 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.