53143 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53143 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,731, 100% | 2,635,602 | 132,741,033 |
1 Room | 106, 1.09%, see rank | 1.60% | 1.95% |
2 Rooms | 164, 1.69%, see rank | 2.32% | 2.48% |
3 Rooms | 532, 5.47%, see rank | 8.42% | 9.13% |
4 Rooms | 1,865, 19.17%, see rank | 16.51% | 16.60% |
5 Rooms | 2,707, 27.82%, see rank | 20.77% | 20.41% |
6 Rooms | 2,103, 21.61%, see rank | 17.70% | 18.06% |
7 Rooms | 1,147, 11.79%, see rank | 12.69% | 12.27% |
8 Rooms | 590, 6.06%, see rank | 8.89% | 8.48% |
9 Rooms or More | 517, 5.31%, see rank | 11.10% | 10.60% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53143 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,656, 100% | 2,620,401 | 131,642,457 |
1 Room | 114, 1.18%, see rank | 1.62% | 1.95% |
2 Rooms | 164, 1.70%, see rank | 2.17% | 2.36% |
3 Rooms | 751, 7.78%, see rank | 8.33% | 8.97% |
4 Rooms | 1,675, 17.35%, see rank | 16.46% | 16.57% |
5 Rooms | 2,832, 29.33%, see rank | 20.74% | 20.41% |
6 Rooms | 1,906, 19.74%, see rank | 17.92% | 18.25% |
7 Rooms | 1,133, 11.73%, see rank | 12.78% | 12.38% |
8 Rooms | 526, 5.45%, see rank | 8.94% | 8.59% |
9 Rooms or More | 555, 5.75%, see rank | 11.03% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53143 Zip Code | Wisconsin | U.S. |
Total Housing Units | 9,694, 100% | 2,321,144 | 115,904,641 |
1 Room | 106, 1.09%, see rank | 1.43% | 2.20% |
2 Rooms | 270, 2.79%, see rank | 3.23% | 4.81% |
3 Rooms | 855, 8.82%, see rank | 8.01% | 9.84% |
4 Rooms | 1,665, 17.18%, see rank | 16.62% | 15.97% |
5 Rooms | 2,712, 27.98%, see rank | 22.65% | 20.89% |
6 Rooms | 1,990, 20.53%, see rank | 19.16% | 18.45% |
7 Rooms | 1,079, 11.13%, see rank | 12.91% | 12.06% |
8 Rooms | 621, 6.41%, see rank | 8.44% | 8.06% |
9 Rooms or More | 396, 4.09%, see rank | 7.56% | 7.70% |
Median Rooms | 5.20, 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.