54162 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54162 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,629, 100% | 2,635,602 | 132,741,033 |
1 Room | 51, 1.41%, see rank | 1.60% | 1.95% |
2 Rooms | 31, 0.85%, see rank | 2.32% | 2.48% |
3 Rooms | 299, 8.24%, see rank | 8.42% | 9.13% |
4 Rooms | 413, 11.38%, see rank | 16.51% | 16.60% |
5 Rooms | 838, 23.09%, see rank | 20.77% | 20.41% |
6 Rooms | 642, 17.69%, see rank | 17.70% | 18.06% |
7 Rooms | 503, 13.86%, see rank | 12.69% | 12.27% |
8 Rooms | 380, 10.47%, see rank | 8.89% | 8.48% |
9 Rooms or More | 472, 13.01%, see rank | 11.10% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54162 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,706, 100% | 2,620,401 | 131,642,457 |
1 Room | 47, 1.27%, see rank | 1.62% | 1.95% |
2 Rooms | 37, 1.00%, see rank | 2.17% | 2.36% |
3 Rooms | 255, 6.88%, see rank | 8.33% | 8.97% |
4 Rooms | 416, 11.23%, see rank | 16.46% | 16.57% |
5 Rooms | 838, 22.61%, see rank | 20.74% | 20.41% |
6 Rooms | 730, 19.70%, see rank | 17.92% | 18.25% |
7 Rooms | 538, 14.52%, see rank | 12.78% | 12.38% |
8 Rooms | 438, 11.82%, see rank | 8.94% | 8.59% |
9 Rooms or More | 407, 10.98%, see rank | 11.03% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54162 Zip Code | Wisconsin | U.S. |
Total Housing Units | 2,735, 100% | 2,321,144 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.43% | 2.20% |
2 Rooms | 68, 2.49%, see rank | 3.23% | 4.81% |
3 Rooms | 169, 6.18%, see rank | 8.01% | 9.84% |
4 Rooms | 326, 11.92%, see rank | 16.62% | 15.97% |
5 Rooms | 666, 24.35%, see rank | 22.65% | 20.89% |
6 Rooms | 701, 25.63%, see rank | 19.16% | 18.45% |
7 Rooms | 424, 15.50%, see rank | 12.91% | 12.06% |
8 Rooms | 227, 8.30%, see rank | 8.44% | 8.06% |
9 Rooms or More | 154, 5.63%, 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.