57638 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 57638 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,233, 100% | 369,186 | 132,741,033 |
1 Room | 3, 0.24%, see rank | 1.34% | 1.95% |
2 Rooms | 22, 1.78%, see rank | 2.62% | 2.48% |
3 Rooms | 88, 7.14%, see rank | 8.18% | 9.13% |
4 Rooms | 248, 20.11%, see rank | 16.39% | 16.60% |
5 Rooms | 316, 25.63%, see rank | 17.57% | 20.41% |
6 Rooms | 158, 12.81%, see rank | 14.84% | 18.06% |
7 Rooms | 105, 8.52%, see rank | 12.44% | 12.27% |
8 Rooms | 93, 7.54%, see rank | 10.74% | 8.48% |
9 Rooms or More | 200, 16.22%, see rank | 15.89% | 10.60% |
Median Rooms | 5.30, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 57638 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,168, 100% | 363,793 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.36% | 1.95% |
2 Rooms | 32, 2.74%, see rank | 2.55% | 2.36% |
3 Rooms | 74, 6.34%, see rank | 7.91% | 8.97% |
4 Rooms | 201, 17.21%, see rank | 16.44% | 16.57% |
5 Rooms | 262, 22.43%, see rank | 17.97% | 20.41% |
6 Rooms | 200, 17.12%, see rank | 15.05% | 18.25% |
7 Rooms | 113, 9.67%, see rank | 12.84% | 12.38% |
8 Rooms | 75, 6.42%, see rank | 10.43% | 8.59% |
9 Rooms or More | 211, 18.07%, see rank | 15.45% | 10.52% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
US Census 2000 data
| 57638 Zip Code | South Dakota | U.S. |
Total Housing Units | 1,098, 100% | 323,208 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.23% | 2.20% |
2 Rooms | 35, 3.19%, see rank | 4.06% | 4.81% |
3 Rooms | 107, 9.74%, see rank | 8.62% | 9.84% |
4 Rooms | 224, 20.40%, see rank | 16.53% | 15.97% |
5 Rooms | 222, 20.22%, see rank | 20.54% | 20.89% |
6 Rooms | 195, 17.76%, see rank | 15.72% | 18.45% |
7 Rooms | 122, 11.11%, see rank | 12.46% | 12.06% |
8 Rooms | 83, 7.56%, see rank | 9.99% | 8.06% |
9 Rooms or More | 110, 10.02%, see rank | 10.85% | 7.70% |
Median Rooms | 5.30, 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.