57030 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57030 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,275, 100% | 369,186 | 132,741,033 |
1 Room | 11, 0.86%, see rank | 1.34% | 1.95% |
2 Rooms | 22, 1.73%, see rank | 2.62% | 2.48% |
3 Rooms | 72, 5.65%, see rank | 8.18% | 9.13% |
4 Rooms | 129, 10.12%, see rank | 16.39% | 16.60% |
5 Rooms | 116, 9.10%, see rank | 17.57% | 20.41% |
6 Rooms | 202, 15.84%, see rank | 14.84% | 18.06% |
7 Rooms | 192, 15.06%, see rank | 12.44% | 12.27% |
8 Rooms | 279, 21.88%, see rank | 10.74% | 8.48% |
9 Rooms or More | 252, 19.76%, see rank | 15.89% | 10.60% |
Median Rooms | 6.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57030 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,321, 100% | 363,793 | 131,642,457 |
1 Room | 12, 0.91%, see rank | 1.36% | 1.95% |
2 Rooms | 31, 2.35%, see rank | 2.55% | 2.36% |
3 Rooms | 74, 5.60%, see rank | 7.91% | 8.97% |
4 Rooms | 149, 11.28%, see rank | 16.44% | 16.57% |
5 Rooms | 135, 10.22%, see rank | 17.97% | 20.41% |
6 Rooms | 207, 15.67%, see rank | 15.05% | 18.25% |
7 Rooms | 248, 18.77%, see rank | 12.84% | 12.38% |
8 Rooms | 190, 14.38%, see rank | 10.43% | 8.59% |
9 Rooms or More | 275, 20.82%, see rank | 15.45% | 10.52% |
Median Rooms | 6.70, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57030 Zip Code | South Dakota | U.S. |
Total Housing Units | 945, 100% | 323,208 | 115,904,641 |
1 Room | 6, 0.63%, see rank | 1.23% | 2.20% |
2 Rooms | 19, 2.01%, see rank | 4.06% | 4.81% |
3 Rooms | 25, 2.65%, see rank | 8.62% | 9.84% |
4 Rooms | 120, 12.70%, see rank | 16.53% | 15.97% |
5 Rooms | 170, 17.99%, see rank | 20.54% | 20.89% |
6 Rooms | 168, 17.78%, see rank | 15.72% | 18.45% |
7 Rooms | 176, 18.62%, see rank | 12.46% | 12.06% |
8 Rooms | 135, 14.29%, see rank | 9.99% | 8.06% |
9 Rooms or More | 126, 13.33%, see rank | 10.85% | 7.70% |
Median Rooms | 6.30, 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.