53949 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 53949 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,145, 100% | 2,635,602 | 132,741,033 |
1 Room | 60, 1.45%, see rank | 1.60% | 1.95% |
2 Rooms | 73, 1.76%, see rank | 2.32% | 2.48% |
3 Rooms | 291, 7.02%, see rank | 8.42% | 9.13% |
4 Rooms | 718, 17.32%, see rank | 16.51% | 16.60% |
5 Rooms | 1,078, 26.01%, see rank | 20.77% | 20.41% |
6 Rooms | 896, 21.62%, see rank | 17.70% | 18.06% |
7 Rooms | 394, 9.51%, see rank | 12.69% | 12.27% |
8 Rooms | 335, 8.08%, see rank | 8.89% | 8.48% |
9 Rooms or More | 300, 7.24%, see rank | 11.10% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 53949 Zip Code | Wisconsin | U.S. |
Total Housing Units | 4,113, 100% | 2,620,401 | 131,642,457 |
1 Room | 41, 1.00%, see rank | 1.62% | 1.95% |
2 Rooms | 77, 1.87%, see rank | 2.17% | 2.36% |
3 Rooms | 247, 6.01%, see rank | 8.33% | 8.97% |
4 Rooms | 730, 17.75%, see rank | 16.46% | 16.57% |
5 Rooms | 1,038, 25.24%, see rank | 20.74% | 20.41% |
6 Rooms | 866, 21.06%, see rank | 17.92% | 18.25% |
7 Rooms | 434, 10.55%, see rank | 12.78% | 12.38% |
8 Rooms | 333, 8.10%, see rank | 8.94% | 8.59% |
9 Rooms or More | 347, 8.44%, see rank | 11.03% | 10.52% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
US Census 2000 data
| 53949 Zip Code | Wisconsin | U.S. |
Total Housing Units | 3,717, 100% | 2,321,144 | 115,904,641 |
1 Room | 40, 1.08%, see rank | 1.43% | 2.20% |
2 Rooms | 47, 1.26%, see rank | 3.23% | 4.81% |
3 Rooms | 254, 6.83%, see rank | 8.01% | 9.84% |
4 Rooms | 788, 21.20%, see rank | 16.62% | 15.97% |
5 Rooms | 1,017, 27.36%, see rank | 22.65% | 20.89% |
6 Rooms | 739, 19.88%, see rank | 19.16% | 18.45% |
7 Rooms | 352, 9.47%, see rank | 12.91% | 12.06% |
8 Rooms | 281, 7.56%, see rank | 8.44% | 8.06% |
9 Rooms or More | 199, 5.35%, 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.