57442 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57442 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,233, 100% | 369,186 | 132,741,033 |
1 Room | 28, 2.27%, see rank | 1.34% | 1.95% |
2 Rooms | 12, 0.97%, see rank | 2.62% | 2.48% |
3 Rooms | 52, 4.22%, see rank | 8.18% | 9.13% |
4 Rooms | 236, 19.14%, see rank | 16.39% | 16.60% |
5 Rooms | 287, 23.28%, see rank | 17.57% | 20.41% |
6 Rooms | 192, 15.57%, see rank | 14.84% | 18.06% |
7 Rooms | 127, 10.30%, see rank | 12.44% | 12.27% |
8 Rooms | 123, 9.98%, see rank | 10.74% | 8.48% |
9 Rooms or More | 176, 14.27%, see rank | 15.89% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57442 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,223, 100% | 363,793 | 131,642,457 |
1 Room | 29, 2.37%, see rank | 1.36% | 1.95% |
2 Rooms | 11, 0.90%, see rank | 2.55% | 2.36% |
3 Rooms | 58, 4.74%, see rank | 7.91% | 8.97% |
4 Rooms | 186, 15.21%, see rank | 16.44% | 16.57% |
5 Rooms | 318, 26.00%, see rank | 17.97% | 20.41% |
6 Rooms | 210, 17.17%, see rank | 15.05% | 18.25% |
7 Rooms | 79, 6.46%, see rank | 12.84% | 12.38% |
8 Rooms | 131, 10.71%, see rank | 10.43% | 8.59% |
9 Rooms or More | 201, 16.43%, see rank | 15.45% | 10.52% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57442 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,249, 100% | 323,208 | 115,904,641 |
1 Room | 43, 3.44%, see rank | 1.23% | 2.20% |
2 Rooms | 47, 3.76%, see rank | 4.06% | 4.81% |
3 Rooms | 83, 6.65%, see rank | 8.62% | 9.84% |
4 Rooms | 257, 20.58%, see rank | 16.53% | 15.97% |
5 Rooms | 298, 23.86%, see rank | 20.54% | 20.89% |
6 Rooms | 259, 20.74%, see rank | 15.72% | 18.45% |
7 Rooms | 96, 7.69%, see rank | 12.46% | 12.06% |
8 Rooms | 81, 6.49%, see rank | 9.99% | 8.06% |
9 Rooms or More | 85, 6.81%, see rank | 10.85% | 7.70% |
Median Rooms | 5.20, see rank | 5.50 | 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.