57236 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 57236 Zip Code | South Dakota | U.S. |
| Total Housing Units | 27, 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 | 0, 0.00%, see rank | 8.18% | 9.13% |
| 4 Rooms | 3, 11.11%, see rank | 16.39% | 16.60% |
| 5 Rooms | 1, 3.70%, see rank | 17.57% | 20.41% |
| 6 Rooms | 13, 48.15%, see rank | 14.84% | 18.06% |
| 7 Rooms | 7, 25.93%, see rank | 12.44% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 10.74% | 8.48% |
| 9 Rooms or More | 3, 11.11%, see rank | 15.89% | 10.60% |
| Median Rooms | 6.20, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| | 57236 Zip Code | South Dakota | U.S. |
| Total Housing Units | 49, 100% | 363,793 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
| 2 Rooms | 3, 6.12%, see rank | 2.55% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 7.91% | 8.97% |
| 4 Rooms | 8, 16.33%, see rank | 16.44% | 16.57% |
| 5 Rooms | 5, 10.20%, see rank | 17.97% | 20.41% |
| 6 Rooms | 17, 34.69%, see rank | 15.05% | 18.25% |
| 7 Rooms | 8, 16.33%, see rank | 12.84% | 12.38% |
| 8 Rooms | 7, 14.29%, see rank | 10.43% | 8.59% |
| 9 Rooms or More | 1, 2.04%, see rank | 15.45% | 10.52% |
| Median Rooms | 6.00, see rank | 5.80 | 5.50 |
US Census 2000 data
| | 57236 Zip Code | South Dakota | U.S. |
| Total Housing Units | 156, 100% | 323,208 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 1.23% | 2.20% |
| 2 Rooms | 3, 1.92%, see rank | 4.06% | 4.81% |
| 3 Rooms | 6, 3.85%, see rank | 8.62% | 9.84% |
| 4 Rooms | 12, 7.69%, see rank | 16.53% | 15.97% |
| 5 Rooms | 29, 18.59%, see rank | 20.54% | 20.89% |
| 6 Rooms | 46, 29.49%, see rank | 15.72% | 18.45% |
| 7 Rooms | 15, 9.62%, see rank | 12.46% | 12.06% |
| 8 Rooms | 29, 18.59%, see rank | 9.99% | 8.06% |
| 9 Rooms or More | 16, 10.26%, see rank | 10.85% | 7.70% |
| Median Rooms | 6.10, 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.
