82084 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 82084 Zip Code | Wyoming | U.S. |
| Total Housing Units | 26, 100% | 265,195 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.70% | 1.95% |
| 2 Rooms | 10, 38.46%, see rank | 2.77% | 2.48% |
| 3 Rooms | 0, 0.00%, see rank | 7.68% | 9.13% |
| 4 Rooms | 0, 0.00%, see rank | 16.14% | 16.60% |
| 5 Rooms | 0, 0.00%, see rank | 20.04% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 15.65% | 18.06% |
| 7 Rooms | 16, 61.54%, see rank | 11.92% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 9.71% | 8.48% |
| 9 Rooms or More | 0, 0.00%, see rank | 14.39% | 10.60% |
| Median Rooms | 0.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| | 82084 Zip Code | Wyoming | U.S. |
| Total Housing Units | 17, 100% | 261,430 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.62% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 7.38% | 8.97% |
| 4 Rooms | 0, 0.00%, see rank | 17.02% | 16.57% |
| 5 Rooms | 0, 0.00%, see rank | 19.68% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 15.38% | 18.25% |
| 7 Rooms | 17, 100.00%, see rank | 12.42% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 9.88% | 8.59% |
| 9 Rooms or More | 0, 0.00%, see rank | 13.97% | 10.52% |
| Median Rooms | 0.00, see rank | 5.60 | 5.50 |
US Census 2000 data
| | 82084 Zip Code | Wyoming | U.S. |
| Total Housing Units | 17, 100% | 223,854 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 1.61% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 3.85% | 4.81% |
| 3 Rooms | 0, 0.00%, see rank | 8.44% | 9.84% |
| 4 Rooms | 0, 0.00%, see rank | 17.11% | 15.97% |
| 5 Rooms | 9, 52.94%, see rank | 20.72% | 20.89% |
| 6 Rooms | 0, 0.00%, see rank | 14.79% | 18.45% |
| 7 Rooms | 0, 0.00%, see rank | 12.16% | 12.06% |
| 8 Rooms | 8, 47.06%, see rank | 9.64% | 8.06% |
| 9 Rooms or More | 0, 0.00%, see rank | 11.69% | 7.70% |
| Median Rooms | 5.40, 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.
