57580 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57580 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,228, 100% | 369,186 | 132,741,033 |
1 Room | 27, 1.21%, see rank | 1.34% | 1.95% |
2 Rooms | 42, 1.89%, see rank | 2.62% | 2.48% |
3 Rooms | 146, 6.55%, see rank | 8.18% | 9.13% |
4 Rooms | 218, 9.78%, see rank | 16.39% | 16.60% |
5 Rooms | 508, 22.80%, see rank | 17.57% | 20.41% |
6 Rooms | 540, 24.24%, see rank | 14.84% | 18.06% |
7 Rooms | 224, 10.05%, see rank | 12.44% | 12.27% |
8 Rooms | 186, 8.35%, see rank | 10.74% | 8.48% |
9 Rooms or More | 337, 15.13%, see rank | 15.89% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57580 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,304, 100% | 363,793 | 131,642,457 |
1 Room | 34, 1.48%, see rank | 1.36% | 1.95% |
2 Rooms | 34, 1.48%, see rank | 2.55% | 2.36% |
3 Rooms | 211, 9.16%, see rank | 7.91% | 8.97% |
4 Rooms | 410, 17.80%, see rank | 16.44% | 16.57% |
5 Rooms | 466, 20.23%, see rank | 17.97% | 20.41% |
6 Rooms | 468, 20.31%, see rank | 15.05% | 18.25% |
7 Rooms | 284, 12.33%, see rank | 12.84% | 12.38% |
8 Rooms | 142, 6.16%, see rank | 10.43% | 8.59% |
9 Rooms or More | 255, 11.07%, see rank | 15.45% | 10.52% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57580 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,218, 100% | 323,208 | 115,904,641 |
1 Room | 14, 0.63%, see rank | 1.23% | 2.20% |
2 Rooms | 49, 2.21%, see rank | 4.06% | 4.81% |
3 Rooms | 221, 9.96%, see rank | 8.62% | 9.84% |
4 Rooms | 343, 15.46%, see rank | 16.53% | 15.97% |
5 Rooms | 551, 24.84%, see rank | 20.54% | 20.89% |
6 Rooms | 374, 16.86%, see rank | 15.72% | 18.45% |
7 Rooms | 263, 11.86%, see rank | 12.46% | 12.06% |
8 Rooms | 163, 7.35%, see rank | 9.99% | 8.06% |
9 Rooms or More | 240, 10.82%, see rank | 10.85% | 7.70% |
Median Rooms | 5.40, 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.