57049 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57049 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,670, 100% | 369,186 | 132,741,033 |
1 Room | 24, 0.90%, see rank | 1.34% | 1.95% |
2 Rooms | 103, 3.86%, see rank | 2.62% | 2.48% |
3 Rooms | 190, 7.12%, see rank | 8.18% | 9.13% |
4 Rooms | 439, 16.44%, see rank | 16.39% | 16.60% |
5 Rooms | 515, 19.29%, see rank | 17.57% | 20.41% |
6 Rooms | 289, 10.82%, see rank | 14.84% | 18.06% |
7 Rooms | 278, 10.41%, see rank | 12.44% | 12.27% |
8 Rooms | 278, 10.41%, see rank | 10.74% | 8.48% |
9 Rooms or More | 554, 20.75%, see rank | 15.89% | 10.60% |
Median Rooms | 5.70, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57049 Zip Code | South Dakota | U.S. |
Total Housing Units | 2,588, 100% | 363,793 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 69, 2.67%, see rank | 2.55% | 2.36% |
3 Rooms | 126, 4.87%, see rank | 7.91% | 8.97% |
4 Rooms | 503, 19.44%, see rank | 16.44% | 16.57% |
5 Rooms | 495, 19.13%, see rank | 17.97% | 20.41% |
6 Rooms | 286, 11.05%, see rank | 15.05% | 18.25% |
7 Rooms | 253, 9.78%, see rank | 12.84% | 12.38% |
8 Rooms | 346, 13.37%, see rank | 10.43% | 8.59% |
9 Rooms or More | 510, 19.71%, see rank | 15.45% | 10.52% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57049 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,889, 100% | 323,208 | 115,904,641 |
1 Room | 6, 0.32%, see rank | 1.23% | 2.20% |
2 Rooms | 28, 1.48%, see rank | 4.06% | 4.81% |
3 Rooms | 106, 5.61%, see rank | 8.62% | 9.84% |
4 Rooms | 322, 17.05%, see rank | 16.53% | 15.97% |
5 Rooms | 454, 24.03%, see rank | 20.54% | 20.89% |
6 Rooms | 273, 14.45%, see rank | 15.72% | 18.45% |
7 Rooms | 169, 8.95%, see rank | 12.46% | 12.06% |
8 Rooms | 197, 10.43%, see rank | 9.99% | 8.06% |
9 Rooms or More | 334, 17.68%, see rank | 10.85% | 7.70% |
Median Rooms | 5.60, 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.