57555 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57555 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,338, 100% | 369,186 | 132,741,033 |
1 Room | 49, 3.66%, see rank | 1.34% | 1.95% |
2 Rooms | 44, 3.29%, see rank | 2.62% | 2.48% |
3 Rooms | 205, 15.32%, see rank | 8.18% | 9.13% |
4 Rooms | 320, 23.92%, see rank | 16.39% | 16.60% |
5 Rooms | 386, 28.85%, see rank | 17.57% | 20.41% |
6 Rooms | 115, 8.59%, see rank | 14.84% | 18.06% |
7 Rooms | 117, 8.74%, see rank | 12.44% | 12.27% |
8 Rooms | 53, 3.96%, see rank | 10.74% | 8.48% |
9 Rooms or More | 49, 3.66%, see rank | 15.89% | 10.60% |
Median Rooms | 4.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57555 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,251, 100% | 363,793 | 131,642,457 |
1 Room | 45, 3.60%, see rank | 1.36% | 1.95% |
2 Rooms | 32, 2.56%, see rank | 2.55% | 2.36% |
3 Rooms | 204, 16.31%, see rank | 7.91% | 8.97% |
4 Rooms | 273, 21.82%, see rank | 16.44% | 16.57% |
5 Rooms | 321, 25.66%, see rank | 17.97% | 20.41% |
6 Rooms | 174, 13.91%, see rank | 15.05% | 18.25% |
7 Rooms | 88, 7.03%, see rank | 12.84% | 12.38% |
8 Rooms | 62, 4.96%, see rank | 10.43% | 8.59% |
9 Rooms or More | 52, 4.16%, see rank | 15.45% | 10.52% |
Median Rooms | 4.70, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57555 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,210, 100% | 323,208 | 115,904,641 |
1 Room | 13, 1.07%, see rank | 1.23% | 2.20% |
2 Rooms | 85, 7.02%, see rank | 4.06% | 4.81% |
3 Rooms | 124, 10.25%, see rank | 8.62% | 9.84% |
4 Rooms | 348, 28.76%, see rank | 16.53% | 15.97% |
5 Rooms | 323, 26.69%, see rank | 20.54% | 20.89% |
6 Rooms | 114, 9.42%, see rank | 15.72% | 18.45% |
7 Rooms | 108, 8.93%, see rank | 12.46% | 12.06% |
8 Rooms | 74, 6.12%, see rank | 9.99% | 8.06% |
9 Rooms or More | 21, 1.74%, see rank | 10.85% | 7.70% |
Median Rooms | 4.60, 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.