82007 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 82007 Zip Code | Wyoming | U.S. |
Total Housing Units | 8,685, 100% | 265,195 | 132,741,033 |
1 Room | 30, 0.35%, see rank | 1.70% | 1.95% |
2 Rooms | 106, 1.22%, see rank | 2.77% | 2.48% |
3 Rooms | 596, 6.86%, see rank | 7.68% | 9.13% |
4 Rooms | 1,558, 17.94%, see rank | 16.14% | 16.60% |
5 Rooms | 2,622, 30.19%, see rank | 20.04% | 20.41% |
6 Rooms | 1,745, 20.09%, see rank | 15.65% | 18.06% |
7 Rooms | 720, 8.29%, see rank | 11.92% | 12.27% |
8 Rooms | 558, 6.42%, see rank | 9.71% | 8.48% |
9 Rooms or More | 750, 8.64%, see rank | 14.39% | 10.60% |
Median Rooms | 5.30, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 82007 Zip Code | Wyoming | U.S. |
Total Housing Units | 8,527, 100% | 261,430 | 131,642,457 |
1 Room | 41, 0.48%, see rank | 1.65% | 1.95% |
2 Rooms | 134, 1.57%, see rank | 2.62% | 2.36% |
3 Rooms | 599, 7.02%, see rank | 7.38% | 8.97% |
4 Rooms | 1,784, 20.92%, see rank | 17.02% | 16.57% |
5 Rooms | 2,048, 24.02%, see rank | 19.68% | 20.41% |
6 Rooms | 1,561, 18.31%, see rank | 15.38% | 18.25% |
7 Rooms | 815, 9.56%, see rank | 12.42% | 12.38% |
8 Rooms | 759, 8.90%, see rank | 9.88% | 8.59% |
9 Rooms or More | 786, 9.22%, see rank | 13.97% | 10.52% |
Median Rooms | 5.30, see rank | 5.60 | 5.50 |
US Census 2000 data
| 82007 Zip Code | Wyoming | U.S. |
Total Housing Units | 6,591, 100% | 223,854 | 115,904,641 |
1 Room | 37, 0.56%, see rank | 1.61% | 2.20% |
2 Rooms | 247, 3.75%, see rank | 3.85% | 4.81% |
3 Rooms | 452, 6.86%, see rank | 8.44% | 9.84% |
4 Rooms | 1,298, 19.69%, see rank | 17.11% | 15.97% |
5 Rooms | 1,877, 28.48%, see rank | 20.72% | 20.89% |
6 Rooms | 1,053, 15.98%, see rank | 14.79% | 18.45% |
7 Rooms | 734, 11.14%, see rank | 12.16% | 12.06% |
8 Rooms | 444, 6.74%, see rank | 9.64% | 8.06% |
9 Rooms or More | 449, 6.81%, see rank | 11.69% | 7.70% |
Median Rooms | 5.20, see rank | 5.40 | 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.