82716 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 82716 Zip Code | Wyoming | U.S. |
Total Housing Units | 7,700, 100% | 265,195 | 132,741,033 |
1 Room | 23, 0.30%, see rank | 1.70% | 1.95% |
2 Rooms | 268, 3.48%, see rank | 2.77% | 2.48% |
3 Rooms | 469, 6.09%, see rank | 7.68% | 9.13% |
4 Rooms | 1,499, 19.47%, see rank | 16.14% | 16.60% |
5 Rooms | 1,457, 18.92%, see rank | 20.04% | 20.41% |
6 Rooms | 1,630, 21.17%, see rank | 15.65% | 18.06% |
7 Rooms | 942, 12.23%, see rank | 11.92% | 12.27% |
8 Rooms | 516, 6.70%, see rank | 9.71% | 8.48% |
9 Rooms or More | 896, 11.64%, see rank | 14.39% | 10.60% |
Median Rooms | 5.60, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 82716 Zip Code | Wyoming | U.S. |
Total Housing Units | 7,784, 100% | 261,430 | 131,642,457 |
1 Room | 66, 0.85%, see rank | 1.65% | 1.95% |
2 Rooms | 196, 2.52%, see rank | 2.62% | 2.36% |
3 Rooms | 573, 7.36%, see rank | 7.38% | 8.97% |
4 Rooms | 1,307, 16.79%, see rank | 17.02% | 16.57% |
5 Rooms | 1,805, 23.19%, see rank | 19.68% | 20.41% |
6 Rooms | 1,244, 15.98%, see rank | 15.38% | 18.25% |
7 Rooms | 907, 11.65%, see rank | 12.42% | 12.38% |
8 Rooms | 735, 9.44%, see rank | 9.88% | 8.59% |
9 Rooms or More | 951, 12.22%, see rank | 13.97% | 10.52% |
Median Rooms | 5.50, see rank | 5.60 | 5.50 |
US Census 2000 data
| 82716 Zip Code | Wyoming | U.S. |
Total Housing Units | 6,247, 100% | 223,854 | 115,904,641 |
1 Room | 40, 0.64%, see rank | 1.61% | 2.20% |
2 Rooms | 301, 4.82%, see rank | 3.85% | 4.81% |
3 Rooms | 544, 8.71%, see rank | 8.44% | 9.84% |
4 Rooms | 1,257, 20.12%, see rank | 17.11% | 15.97% |
5 Rooms | 1,507, 24.12%, see rank | 20.72% | 20.89% |
6 Rooms | 784, 12.55%, see rank | 14.79% | 18.45% |
7 Rooms | 726, 11.62%, see rank | 12.16% | 12.06% |
8 Rooms | 462, 7.40%, see rank | 9.64% | 8.06% |
9 Rooms or More | 626, 10.02%, 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.