53933 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53933 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,664, 100% | 2,635,602 | 132,741,033 |
1 Room | 25, 1.50%, see rank | 1.60% | 1.95% |
2 Rooms | 28, 1.68%, see rank | 2.32% | 2.48% |
3 Rooms | 112, 6.73%, see rank | 8.42% | 9.13% |
4 Rooms | 279, 16.77%, see rank | 16.51% | 16.60% |
5 Rooms | 353, 21.21%, see rank | 20.77% | 20.41% |
6 Rooms | 307, 18.45%, see rank | 17.70% | 18.06% |
7 Rooms | 254, 15.26%, see rank | 12.69% | 12.27% |
8 Rooms | 147, 8.83%, see rank | 8.89% | 8.48% |
9 Rooms or More | 159, 9.56%, see rank | 11.10% | 10.60% |
Median Rooms | 5.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53933 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,650, 100% | 2,620,401 | 131,642,457 |
1 Room | 16, 0.97%, see rank | 1.62% | 1.95% |
2 Rooms | 28, 1.70%, see rank | 2.17% | 2.36% |
3 Rooms | 134, 8.12%, see rank | 8.33% | 8.97% |
4 Rooms | 223, 13.52%, see rank | 16.46% | 16.57% |
5 Rooms | 423, 25.64%, see rank | 20.74% | 20.41% |
6 Rooms | 264, 16.00%, see rank | 17.92% | 18.25% |
7 Rooms | 255, 15.45%, see rank | 12.78% | 12.38% |
8 Rooms | 142, 8.61%, see rank | 8.94% | 8.59% |
9 Rooms or More | 165, 10.00%, see rank | 11.03% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53933 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,623, 100% | 2,321,144 | 115,904,641 |
1 Room | 22, 1.36%, see rank | 1.43% | 2.20% |
2 Rooms | 19, 1.17%, see rank | 3.23% | 4.81% |
3 Rooms | 176, 10.84%, see rank | 8.01% | 9.84% |
4 Rooms | 333, 20.52%, see rank | 16.62% | 15.97% |
5 Rooms | 320, 19.72%, see rank | 22.65% | 20.89% |
6 Rooms | 308, 18.98%, see rank | 19.16% | 18.45% |
7 Rooms | 174, 10.72%, see rank | 12.91% | 12.06% |
8 Rooms | 165, 10.17%, see rank | 8.44% | 8.06% |
9 Rooms or More | 106, 6.53%, see rank | 7.56% | 7.70% |
Median Rooms | 5.30, 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.