57070 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57070 Zip Code | South Dakota | U.S. |
Total Housing Units | 768, 100% | 369,186 | 132,741,033 |
1 Room | 19, 2.47%, see rank | 1.34% | 1.95% |
2 Rooms | 19, 2.47%, see rank | 2.62% | 2.48% |
3 Rooms | 86, 11.20%, see rank | 8.18% | 9.13% |
4 Rooms | 122, 15.89%, see rank | 16.39% | 16.60% |
5 Rooms | 133, 17.32%, see rank | 17.57% | 20.41% |
6 Rooms | 115, 14.97%, see rank | 14.84% | 18.06% |
7 Rooms | 129, 16.80%, see rank | 12.44% | 12.27% |
8 Rooms | 67, 8.72%, see rank | 10.74% | 8.48% |
9 Rooms or More | 78, 10.16%, see rank | 15.89% | 10.60% |
Median Rooms | 5.50, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57070 Zip Code | South Dakota | U.S. |
Total Housing Units | 805, 100% | 363,793 | 131,642,457 |
1 Room | 5, 0.62%, see rank | 1.36% | 1.95% |
2 Rooms | 54, 6.71%, see rank | 2.55% | 2.36% |
3 Rooms | 70, 8.70%, see rank | 7.91% | 8.97% |
4 Rooms | 128, 15.90%, see rank | 16.44% | 16.57% |
5 Rooms | 108, 13.42%, see rank | 17.97% | 20.41% |
6 Rooms | 140, 17.39%, see rank | 15.05% | 18.25% |
7 Rooms | 117, 14.53%, see rank | 12.84% | 12.38% |
8 Rooms | 94, 11.68%, see rank | 10.43% | 8.59% |
9 Rooms or More | 89, 11.06%, see rank | 15.45% | 10.52% |
Median Rooms | 5.80, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57070 Zip Code | South Dakota | U.S. |
Total Housing Units | 696, 100% | 323,208 | 115,904,641 |
1 Room | 4, 0.57%, see rank | 1.23% | 2.20% |
2 Rooms | 28, 4.02%, see rank | 4.06% | 4.81% |
3 Rooms | 83, 11.93%, see rank | 8.62% | 9.84% |
4 Rooms | 133, 19.11%, see rank | 16.53% | 15.97% |
5 Rooms | 114, 16.38%, see rank | 20.54% | 20.89% |
6 Rooms | 117, 16.81%, see rank | 15.72% | 18.45% |
7 Rooms | 90, 12.93%, see rank | 12.46% | 12.06% |
8 Rooms | 79, 11.35%, see rank | 9.99% | 8.06% |
9 Rooms or More | 48, 6.90%, see rank | 10.85% | 7.70% |
Median Rooms | 5.40, 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.