54629 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 54629 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,275, 100% | 2,635,602 | 132,741,033 |
1 Room | 36, 2.82%, see rank | 1.60% | 1.95% |
2 Rooms | 20, 1.57%, see rank | 2.32% | 2.48% |
3 Rooms | 93, 7.29%, see rank | 8.42% | 9.13% |
4 Rooms | 141, 11.06%, see rank | 16.51% | 16.60% |
5 Rooms | 208, 16.31%, see rank | 20.77% | 20.41% |
6 Rooms | 208, 16.31%, see rank | 17.70% | 18.06% |
7 Rooms | 195, 15.29%, see rank | 12.69% | 12.27% |
8 Rooms | 108, 8.47%, see rank | 8.89% | 8.48% |
9 Rooms or More | 266, 20.86%, see rank | 11.10% | 10.60% |
Median Rooms | 6.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 54629 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,238, 100% | 2,620,401 | 131,642,457 |
1 Room | 35, 2.83%, see rank | 1.62% | 1.95% |
2 Rooms | 6, 0.48%, see rank | 2.17% | 2.36% |
3 Rooms | 74, 5.98%, see rank | 8.33% | 8.97% |
4 Rooms | 152, 12.28%, see rank | 16.46% | 16.57% |
5 Rooms | 227, 18.34%, see rank | 20.74% | 20.41% |
6 Rooms | 201, 16.24%, see rank | 17.92% | 18.25% |
7 Rooms | 194, 15.67%, see rank | 12.78% | 12.38% |
8 Rooms | 84, 6.79%, see rank | 8.94% | 8.59% |
9 Rooms or More | 265, 21.41%, see rank | 11.03% | 10.52% |
Median Rooms | 6.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 54629 Zip Code | Wisconsin | U.S. |
Total Housing Units | 1,140, 100% | 2,321,144 | 115,904,641 |
1 Room | 2, 0.18%, see rank | 1.43% | 2.20% |
2 Rooms | 39, 3.42%, see rank | 3.23% | 4.81% |
3 Rooms | 77, 6.75%, see rank | 8.01% | 9.84% |
4 Rooms | 169, 14.82%, see rank | 16.62% | 15.97% |
5 Rooms | 244, 21.40%, see rank | 22.65% | 20.89% |
6 Rooms | 186, 16.32%, see rank | 19.16% | 18.45% |
7 Rooms | 191, 16.75%, see rank | 12.91% | 12.06% |
8 Rooms | 115, 10.09%, see rank | 8.44% | 8.06% |
9 Rooms or More | 117, 10.26%, 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.