57033 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57033 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,814, 100% | 369,186 | 132,741,033 |
1 Room | 30, 1.65%, see rank | 1.34% | 1.95% |
2 Rooms | 8, 0.44%, see rank | 2.62% | 2.48% |
3 Rooms | 78, 4.30%, see rank | 8.18% | 9.13% |
4 Rooms | 122, 6.73%, see rank | 16.39% | 16.60% |
5 Rooms | 222, 12.24%, see rank | 17.57% | 20.41% |
6 Rooms | 316, 17.42%, see rank | 14.84% | 18.06% |
7 Rooms | 261, 14.39%, see rank | 12.44% | 12.27% |
8 Rooms | 367, 20.23%, see rank | 10.74% | 8.48% |
9 Rooms or More | 410, 22.60%, see rank | 15.89% | 10.60% |
Median Rooms | 7.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57033 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,712, 100% | 363,793 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 8, 0.47%, see rank | 2.55% | 2.36% |
3 Rooms | 43, 2.51%, see rank | 7.91% | 8.97% |
4 Rooms | 150, 8.76%, see rank | 16.44% | 16.57% |
5 Rooms | 219, 12.79%, see rank | 17.97% | 20.41% |
6 Rooms | 306, 17.87%, see rank | 15.05% | 18.25% |
7 Rooms | 269, 15.71%, see rank | 12.84% | 12.38% |
8 Rooms | 373, 21.79%, see rank | 10.43% | 8.59% |
9 Rooms or More | 344, 20.09%, see rank | 15.45% | 10.52% |
Median Rooms | 7.00, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57033 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,390, 100% | 323,208 | 115,904,641 |
1 Room | 2, 0.14%, see rank | 1.23% | 2.20% |
2 Rooms | 13, 0.94%, see rank | 4.06% | 4.81% |
3 Rooms | 45, 3.24%, see rank | 8.62% | 9.84% |
4 Rooms | 162, 11.65%, see rank | 16.53% | 15.97% |
5 Rooms | 239, 17.19%, see rank | 20.54% | 20.89% |
6 Rooms | 305, 21.94%, see rank | 15.72% | 18.45% |
7 Rooms | 213, 15.32%, see rank | 12.46% | 12.06% |
8 Rooms | 236, 16.98%, see rank | 9.99% | 8.06% |
9 Rooms or More | 175, 12.59%, see rank | 10.85% | 7.70% |
Median Rooms | 6.30, 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.