57212 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57212 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,085, 100% | 369,186 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.34% | 1.95% |
2 Rooms | 21, 1.94%, see rank | 2.62% | 2.48% |
3 Rooms | 143, 13.18%, see rank | 8.18% | 9.13% |
4 Rooms | 111, 10.23%, see rank | 16.39% | 16.60% |
5 Rooms | 190, 17.51%, see rank | 17.57% | 20.41% |
6 Rooms | 154, 14.19%, see rank | 14.84% | 18.06% |
7 Rooms | 175, 16.13%, see rank | 12.44% | 12.27% |
8 Rooms | 160, 14.75%, see rank | 10.74% | 8.48% |
9 Rooms or More | 131, 12.07%, see rank | 15.89% | 10.60% |
Median Rooms | 6.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57212 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,046, 100% | 363,793 | 131,642,457 |
1 Room | 30, 2.87%, see rank | 1.36% | 1.95% |
2 Rooms | 12, 1.15%, see rank | 2.55% | 2.36% |
3 Rooms | 114, 10.90%, see rank | 7.91% | 8.97% |
4 Rooms | 94, 8.99%, see rank | 16.44% | 16.57% |
5 Rooms | 194, 18.55%, see rank | 17.97% | 20.41% |
6 Rooms | 156, 14.91%, see rank | 15.05% | 18.25% |
7 Rooms | 164, 15.68%, see rank | 12.84% | 12.38% |
8 Rooms | 130, 12.43%, see rank | 10.43% | 8.59% |
9 Rooms or More | 152, 14.53%, see rank | 15.45% | 10.52% |
Median Rooms | 6.00, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57212 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,129, 100% | 323,208 | 115,904,641 |
1 Room | 3, 0.27%, see rank | 1.23% | 2.20% |
2 Rooms | 35, 3.10%, see rank | 4.06% | 4.81% |
3 Rooms | 100, 8.86%, see rank | 8.62% | 9.84% |
4 Rooms | 166, 14.70%, see rank | 16.53% | 15.97% |
5 Rooms | 259, 22.94%, see rank | 20.54% | 20.89% |
6 Rooms | 181, 16.03%, see rank | 15.72% | 18.45% |
7 Rooms | 158, 13.99%, see rank | 12.46% | 12.06% |
8 Rooms | 101, 8.95%, see rank | 9.99% | 8.06% |
9 Rooms or More | 126, 11.16%, see rank | 10.85% | 7.70% |
Median Rooms | 5.50, 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.