57747 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57747 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,127, 100% | 369,186 | 132,741,033 |
1 Room | 114, 3.65%, see rank | 1.34% | 1.95% |
2 Rooms | 204, 6.52%, see rank | 2.62% | 2.48% |
3 Rooms | 205, 6.56%, see rank | 8.18% | 9.13% |
4 Rooms | 710, 22.71%, see rank | 16.39% | 16.60% |
5 Rooms | 663, 21.20%, see rank | 17.57% | 20.41% |
6 Rooms | 352, 11.26%, see rank | 14.84% | 18.06% |
7 Rooms | 363, 11.61%, see rank | 12.44% | 12.27% |
8 Rooms | 282, 9.02%, see rank | 10.74% | 8.48% |
9 Rooms or More | 234, 7.48%, see rank | 15.89% | 10.60% |
Median Rooms | 5.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57747 Zip Code | South Dakota | U.S. |
Total Housing Units | 3,115, 100% | 363,793 | 131,642,457 |
1 Room | 107, 3.43%, see rank | 1.36% | 1.95% |
2 Rooms | 237, 7.61%, see rank | 2.55% | 2.36% |
3 Rooms | 227, 7.29%, see rank | 7.91% | 8.97% |
4 Rooms | 581, 18.65%, see rank | 16.44% | 16.57% |
5 Rooms | 803, 25.78%, see rank | 17.97% | 20.41% |
6 Rooms | 352, 11.30%, see rank | 15.05% | 18.25% |
7 Rooms | 300, 9.63%, see rank | 12.84% | 12.38% |
8 Rooms | 258, 8.28%, see rank | 10.43% | 8.59% |
9 Rooms or More | 250, 8.03%, see rank | 15.45% | 10.52% |
Median Rooms | 5.00, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57747 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,953, 100% | 323,208 | 115,904,641 |
1 Room | 70, 2.37%, see rank | 1.23% | 2.20% |
2 Rooms | 198, 6.71%, see rank | 4.06% | 4.81% |
3 Rooms | 336, 11.38%, see rank | 8.62% | 9.84% |
4 Rooms | 707, 23.94%, see rank | 16.53% | 15.97% |
5 Rooms | 739, 25.03%, see rank | 20.54% | 20.89% |
6 Rooms | 309, 10.46%, see rank | 15.72% | 18.45% |
7 Rooms | 258, 8.74%, see rank | 12.46% | 12.06% |
8 Rooms | 211, 7.15%, see rank | 9.99% | 8.06% |
9 Rooms or More | 125, 4.23%, see rank | 10.85% | 7.70% |
Median Rooms | 4.70, 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.