57745 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57745 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,529, 100% | 369,186 | 132,741,033 |
1 Room | 72, 4.71%, see rank | 1.34% | 1.95% |
2 Rooms | 86, 5.62%, see rank | 2.62% | 2.48% |
3 Rooms | 108, 7.06%, see rank | 8.18% | 9.13% |
4 Rooms | 371, 24.26%, see rank | 16.39% | 16.60% |
5 Rooms | 240, 15.70%, see rank | 17.57% | 20.41% |
6 Rooms | 307, 20.08%, see rank | 14.84% | 18.06% |
7 Rooms | 147, 9.61%, see rank | 12.44% | 12.27% |
8 Rooms | 87, 5.69%, see rank | 10.74% | 8.48% |
9 Rooms or More | 111, 7.26%, see rank | 15.89% | 10.60% |
Median Rooms | 5.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57745 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,453, 100% | 363,793 | 131,642,457 |
1 Room | 77, 5.30%, see rank | 1.36% | 1.95% |
2 Rooms | 71, 4.89%, see rank | 2.55% | 2.36% |
3 Rooms | 100, 6.88%, see rank | 7.91% | 8.97% |
4 Rooms | 304, 20.92%, see rank | 16.44% | 16.57% |
5 Rooms | 262, 18.03%, see rank | 17.97% | 20.41% |
6 Rooms | 262, 18.03%, see rank | 15.05% | 18.25% |
7 Rooms | 169, 11.63%, see rank | 12.84% | 12.38% |
8 Rooms | 105, 7.23%, see rank | 10.43% | 8.59% |
9 Rooms or More | 103, 7.09%, see rank | 15.45% | 10.52% |
Median Rooms | 5.20, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57745 Zip Code | South Dakota | U.S. |
Total Housing Units | 947, 100% | 323,208 | 115,904,641 |
1 Room | 22, 2.32%, see rank | 1.23% | 2.20% |
2 Rooms | 24, 2.53%, see rank | 4.06% | 4.81% |
3 Rooms | 69, 7.29%, see rank | 8.62% | 9.84% |
4 Rooms | 196, 20.70%, see rank | 16.53% | 15.97% |
5 Rooms | 215, 22.70%, see rank | 20.54% | 20.89% |
6 Rooms | 153, 16.16%, see rank | 15.72% | 18.45% |
7 Rooms | 128, 13.52%, see rank | 12.46% | 12.06% |
8 Rooms | 72, 7.60%, see rank | 9.99% | 8.06% |
9 Rooms or More | 68, 7.18%, see rank | 10.85% | 7.70% |
Median Rooms | 5.30, 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.