57252 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57252 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,207, 100% | 369,186 | 132,741,033 |
1 Room | 14, 0.63%, see rank | 1.34% | 1.95% |
2 Rooms | 100, 4.53%, see rank | 2.62% | 2.48% |
3 Rooms | 243, 11.01%, see rank | 8.18% | 9.13% |
4 Rooms | 165, 7.48%, see rank | 16.39% | 16.60% |
5 Rooms | 430, 19.48%, see rank | 17.57% | 20.41% |
6 Rooms | 411, 18.62%, see rank | 14.84% | 18.06% |
7 Rooms | 187, 8.47%, see rank | 12.44% | 12.27% |
8 Rooms | 251, 11.37%, see rank | 10.74% | 8.48% |
9 Rooms or More | 406, 18.40%, see rank | 15.89% | 10.60% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57252 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,366, 100% | 363,793 | 131,642,457 |
1 Room | 12, 0.51%, see rank | 1.36% | 1.95% |
2 Rooms | 122, 5.16%, see rank | 2.55% | 2.36% |
3 Rooms | 275, 11.62%, see rank | 7.91% | 8.97% |
4 Rooms | 229, 9.68%, see rank | 16.44% | 16.57% |
5 Rooms | 376, 15.89%, see rank | 17.97% | 20.41% |
6 Rooms | 430, 18.17%, see rank | 15.05% | 18.25% |
7 Rooms | 207, 8.75%, see rank | 12.84% | 12.38% |
8 Rooms | 250, 10.57%, see rank | 10.43% | 8.59% |
9 Rooms or More | 465, 19.65%, see rank | 15.45% | 10.52% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57252 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,205, 100% | 323,208 | 115,904,641 |
1 Room | 52, 2.36%, see rank | 1.23% | 2.20% |
2 Rooms | 77, 3.49%, see rank | 4.06% | 4.81% |
3 Rooms | 193, 8.75%, see rank | 8.62% | 9.84% |
4 Rooms | 276, 12.52%, see rank | 16.53% | 15.97% |
5 Rooms | 445, 20.18%, see rank | 20.54% | 20.89% |
6 Rooms | 334, 15.15%, see rank | 15.72% | 18.45% |
7 Rooms | 308, 13.97%, see rank | 12.46% | 12.06% |
8 Rooms | 182, 8.25%, see rank | 9.99% | 8.06% |
9 Rooms or More | 338, 15.33%, see rank | 10.85% | 7.70% |
Median Rooms | 5.70, 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.