57730 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57730 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,238, 100% | 369,186 | 132,741,033 |
1 Room | 35, 1.08%, see rank | 1.34% | 1.95% |
2 Rooms | 73, 2.25%, see rank | 2.62% | 2.48% |
3 Rooms | 216, 6.67%, see rank | 8.18% | 9.13% |
4 Rooms | 361, 11.15%, see rank | 16.39% | 16.60% |
5 Rooms | 789, 24.37%, see rank | 17.57% | 20.41% |
6 Rooms | 533, 16.46%, see rank | 14.84% | 18.06% |
7 Rooms | 570, 17.60%, see rank | 12.44% | 12.27% |
8 Rooms | 312, 9.64%, see rank | 10.74% | 8.48% |
9 Rooms or More | 349, 10.78%, see rank | 15.89% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57730 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,282, 100% | 363,793 | 131,642,457 |
1 Room | 60, 1.83%, see rank | 1.36% | 1.95% |
2 Rooms | 108, 3.29%, see rank | 2.55% | 2.36% |
3 Rooms | 254, 7.74%, see rank | 7.91% | 8.97% |
4 Rooms | 300, 9.14%, see rank | 16.44% | 16.57% |
5 Rooms | 833, 25.38%, see rank | 17.97% | 20.41% |
6 Rooms | 572, 17.43%, see rank | 15.05% | 18.25% |
7 Rooms | 572, 17.43%, see rank | 12.84% | 12.38% |
8 Rooms | 261, 7.95%, see rank | 10.43% | 8.59% |
9 Rooms or More | 322, 9.81%, see rank | 15.45% | 10.52% |
Median Rooms | 5.70, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57730 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,551, 100% | 323,208 | 115,904,641 |
1 Room | 61, 2.39%, see rank | 1.23% | 2.20% |
2 Rooms | 139, 5.45%, see rank | 4.06% | 4.81% |
3 Rooms | 269, 10.54%, see rank | 8.62% | 9.84% |
4 Rooms | 476, 18.66%, see rank | 16.53% | 15.97% |
5 Rooms | 530, 20.78%, see rank | 20.54% | 20.89% |
6 Rooms | 412, 16.15%, see rank | 15.72% | 18.45% |
7 Rooms | 332, 13.01%, see rank | 12.46% | 12.06% |
8 Rooms | 165, 6.47%, see rank | 9.99% | 8.06% |
9 Rooms or More | 167, 6.55%, 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.