57748 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 57748 Zip Code | South Dakota | U.S. |
| Total Housing Units | 133, 100% | 369,186 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.34% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.62% | 2.48% |
| 3 Rooms | 12, 9.02%, see rank | 8.18% | 9.13% |
| 4 Rooms | 29, 21.80%, see rank | 16.39% | 16.60% |
| 5 Rooms | 39, 29.32%, see rank | 17.57% | 20.41% |
| 6 Rooms | 35, 26.32%, see rank | 14.84% | 18.06% |
| 7 Rooms | 4, 3.01%, see rank | 12.44% | 12.27% |
| 8 Rooms | 6, 4.51%, see rank | 10.74% | 8.48% |
| 9 Rooms or More | 8, 6.02%, see rank | 15.89% | 10.60% |
| Median Rooms | 5.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| | 57748 Zip Code | South Dakota | U.S. |
| Total Housing Units | 111, 100% | 363,793 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
| 2 Rooms | 5, 4.50%, see rank | 2.55% | 2.36% |
| 3 Rooms | 8, 7.21%, see rank | 7.91% | 8.97% |
| 4 Rooms | 29, 26.13%, see rank | 16.44% | 16.57% |
| 5 Rooms | 20, 18.02%, see rank | 17.97% | 20.41% |
| 6 Rooms | 40, 36.04%, see rank | 15.05% | 18.25% |
| 7 Rooms | 3, 2.70%, see rank | 12.84% | 12.38% |
| 8 Rooms | 6, 5.41%, see rank | 10.43% | 8.59% |
| 9 Rooms or More | 0, 0.00%, see rank | 15.45% | 10.52% |
| Median Rooms | 5.20, see rank | 5.80 | 5.50 |
US Census 2000 data
| | 57748 Zip Code | South Dakota | U.S. |
| Total Housing Units | 149, 100% | 323,208 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 1.23% | 2.20% |
| 2 Rooms | 2, 1.34%, see rank | 4.06% | 4.81% |
| 3 Rooms | 12, 8.05%, see rank | 8.62% | 9.84% |
| 4 Rooms | 14, 9.40%, see rank | 16.53% | 15.97% |
| 5 Rooms | 73, 48.99%, see rank | 20.54% | 20.89% |
| 6 Rooms | 36, 24.16%, see rank | 15.72% | 18.45% |
| 7 Rooms | 7, 4.70%, see rank | 12.46% | 12.06% |
| 8 Rooms | 5, 3.36%, see rank | 9.99% | 8.06% |
| 9 Rooms or More | 0, 0.00%, see rank | 10.85% | 7.70% |
| Median Rooms | 5.10, 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.
