82435 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 82435 Zip Code | Wyoming | U.S. |
Total Housing Units | 5,130, 100% | 265,195 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.70% | 1.95% |
2 Rooms | 124, 2.42%, see rank | 2.77% | 2.48% |
3 Rooms | 373, 7.27%, see rank | 7.68% | 9.13% |
4 Rooms | 690, 13.45%, see rank | 16.14% | 16.60% |
5 Rooms | 845, 16.47%, see rank | 20.04% | 20.41% |
6 Rooms | 1,075, 20.96%, see rank | 15.65% | 18.06% |
7 Rooms | 576, 11.23%, see rank | 11.92% | 12.27% |
8 Rooms | 662, 12.90%, see rank | 9.71% | 8.48% |
9 Rooms or More | 785, 15.30%, see rank | 14.39% | 10.60% |
Median Rooms | 6.00, see rank | 5.60 | 5.50 |
ACS 2008-2012 data
| 82435 Zip Code | Wyoming | U.S. |
Total Housing Units | 5,290, 100% | 261,430 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.65% | 1.95% |
2 Rooms | 91, 1.72%, see rank | 2.62% | 2.36% |
3 Rooms | 301, 5.69%, see rank | 7.38% | 8.97% |
4 Rooms | 754, 14.25%, see rank | 17.02% | 16.57% |
5 Rooms | 1,115, 21.08%, see rank | 19.68% | 20.41% |
6 Rooms | 906, 17.13%, see rank | 15.38% | 18.25% |
7 Rooms | 708, 13.38%, see rank | 12.42% | 12.38% |
8 Rooms | 619, 11.70%, see rank | 9.88% | 8.59% |
9 Rooms or More | 796, 15.05%, see rank | 13.97% | 10.52% |
Median Rooms | 5.90, see rank | 5.60 | 5.50 |
US Census 2000 data
| 82435 Zip Code | Wyoming | U.S. |
Total Housing Units | 4,257, 100% | 223,854 | 115,904,641 |
1 Room | 38, 0.89%, see rank | 1.61% | 2.20% |
2 Rooms | 156, 3.66%, see rank | 3.85% | 4.81% |
3 Rooms | 267, 6.27%, see rank | 8.44% | 9.84% |
4 Rooms | 679, 15.95%, see rank | 17.11% | 15.97% |
5 Rooms | 924, 21.71%, see rank | 20.72% | 20.89% |
6 Rooms | 720, 16.91%, see rank | 14.79% | 18.45% |
7 Rooms | 641, 15.06%, see rank | 12.16% | 12.06% |
8 Rooms | 430, 10.10%, see rank | 9.64% | 8.06% |
9 Rooms or More | 402, 9.44%, see rank | 11.69% | 7.70% |
Median Rooms | 5.60, 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.