57533 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57533 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,122, 100% | 369,186 | 132,741,033 |
1 Room | 9, 0.80%, see rank | 1.34% | 1.95% |
2 Rooms | 9, 0.80%, see rank | 2.62% | 2.48% |
3 Rooms | 54, 4.81%, see rank | 8.18% | 9.13% |
4 Rooms | 192, 17.11%, see rank | 16.39% | 16.60% |
5 Rooms | 237, 21.12%, see rank | 17.57% | 20.41% |
6 Rooms | 204, 18.18%, see rank | 14.84% | 18.06% |
7 Rooms | 140, 12.48%, see rank | 12.44% | 12.27% |
8 Rooms | 140, 12.48%, see rank | 10.74% | 8.48% |
9 Rooms or More | 137, 12.21%, see rank | 15.89% | 10.60% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57533 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,162, 100% | 363,793 | 131,642,457 |
1 Room | 7, 0.60%, see rank | 1.36% | 1.95% |
2 Rooms | 31, 2.67%, see rank | 2.55% | 2.36% |
3 Rooms | 57, 4.91%, see rank | 7.91% | 8.97% |
4 Rooms | 216, 18.59%, see rank | 16.44% | 16.57% |
5 Rooms | 254, 21.86%, see rank | 17.97% | 20.41% |
6 Rooms | 169, 14.54%, see rank | 15.05% | 18.25% |
7 Rooms | 105, 9.04%, see rank | 12.84% | 12.38% |
8 Rooms | 173, 14.89%, see rank | 10.43% | 8.59% |
9 Rooms or More | 150, 12.91%, see rank | 15.45% | 10.52% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57533 Zip Code | South Dakota | U.S. |
Total Housing Units | 984, 100% | 323,208 | 115,904,641 |
1 Room | 10, 1.02%, see rank | 1.23% | 2.20% |
2 Rooms | 30, 3.05%, see rank | 4.06% | 4.81% |
3 Rooms | 51, 5.18%, see rank | 8.62% | 9.84% |
4 Rooms | 222, 22.56%, see rank | 16.53% | 15.97% |
5 Rooms | 224, 22.76%, see rank | 20.54% | 20.89% |
6 Rooms | 159, 16.16%, see rank | 15.72% | 18.45% |
7 Rooms | 87, 8.84%, see rank | 12.46% | 12.06% |
8 Rooms | 80, 8.13%, see rank | 9.99% | 8.06% |
9 Rooms or More | 121, 12.30%, see rank | 10.85% | 7.70% |
Median Rooms | 5.30, 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.