82835 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 82835 Zip Code | Wyoming | U.S. |
| Occupied Units Paying Rent | 29, 100% | 62,288 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.26% | 1.50% |
| $200 to $299 | 2, 6.90%, see rank | 3.22% | 3.18% |
| $300 to $499 | 5, 17.24%, see rank | 11.73% | 7.37% |
| $500 to $699 | 2, 6.90%, see rank | 23.25% | 16.01% |
| $700 to $999 | 12, 41.38%, see rank | 33.75% | 29.17% |
| $1,000 to $1,499 | 8, 27.59%, see rank | 19.09% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 5.86% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.82% | 6.10% |
| Median | $855, see rank | $778 | $920 |
ACS 2008-2012 data
| Monthly Rental | 82835 Zip Code | Wyoming | U.S. |
| Occupied Units Paying Rent | 37, 100% | 58,693 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.47% | 1.76% |
| $200 to $299 | 2, 5.41%, see rank | 3.75% | 3.29% |
| $300 to $499 | 6, 16.22%, see rank | 13.67% | 8.20% |
| $500 to $699 | 0, 0.00%, see rank | 26.80% | 17.39% |
| $700 to $999 | 20, 54.05%, see rank | 30.63% | 29.40% |
| $1,000 to $1,499 | 9, 24.32%, see rank | 17.27% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 4.70% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.70% | 5.30% |
| Median | $825, see rank | $733 | $889 |
US Census 2000 data
| Monthly Rental | 82835 Zip Code | Wyoming | U.S. |
| Occupied Units Paying Rent | 16, 100% | 50,316 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 7.09% | 5.52% |
| $200 to $299 | 0, 0.00%, see rank | 11.10% | 5.45% |
| $300 to $499 | 15, 93.75%, see rank | 46.59% | 23.18% |
| $500 to $699 | 1, 6.25%, see rank | 23.79% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 8.45% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 2.23% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.56% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.19% | 1.02% |
| Median | $365, see rank | $437 | $602 |
* 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.
