82601 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 82601 Zip Code | Wyoming | U.S. |
Occupied Units Paying Rent | 3,955, 100% | 62,288 | 39,201,928 |
$199 or Less | 44, 1.11%, see rank | 1.26% | 1.50% |
$200 to $299 | 165, 4.17%, see rank | 3.22% | 3.18% |
$300 to $499 | 270, 6.83%, see rank | 11.73% | 7.37% |
$500 to $699 | 1,023, 25.87%, see rank | 23.25% | 16.01% |
$700 to $999 | 1,412, 35.70%, see rank | 33.75% | 29.17% |
$1,000 to $1,499 | 742, 18.76%, see rank | 19.09% | 26.88% |
$1,500 to $1,999 | 279, 7.05%, see rank | 5.86% | 9.79% |
$2,000 or More | 20, 0.51%, see rank | 1.82% | 6.10% |
Median | $801, see rank | $778 | $920 |
ACS 2008-2012 data
Monthly Rental | 82601 Zip Code | Wyoming | U.S. |
Occupied Units Paying Rent | 3,600, 100% | 58,693 | 37,562,111 |
$199 or Less | 66, 1.83%, see rank | 1.47% | 1.76% |
$200 to $299 | 156, 4.33%, see rank | 3.75% | 3.29% |
$300 to $499 | 477, 13.25%, see rank | 13.67% | 8.20% |
$500 to $699 | 862, 23.94%, see rank | 26.80% | 17.39% |
$700 to $999 | 1,185, 32.92%, see rank | 30.63% | 29.40% |
$1,000 to $1,499 | 575, 15.97%, see rank | 17.27% | 25.73% |
$1,500 to $1,999 | 249, 6.92%, see rank | 4.70% | 8.92% |
$2,000 or More | 30, 0.83%, see rank | 1.70% | 5.30% |
Median | $755, see rank | $733 | $889 |
US Census 2000 data
Monthly Rental | 82601 Zip Code | Wyoming | U.S. |
Occupied Units Paying Rent | 3,543, 100% | 50,316 | 33,386,326 |
$199 or Less | 413, 11.66%, see rank | 7.09% | 5.52% |
$200 to $299 | 683, 19.28%, see rank | 11.10% | 5.45% |
$300 to $499 | 1,630, 46.01%, see rank | 46.59% | 23.18% |
$500 to $699 | 510, 14.39%, see rank | 23.79% | 29.57% |
$700 to $999 | 195, 5.50%, see rank | 8.45% | 24.06% |
$1,000 to $1,499 | 45, 1.27%, see rank | 2.23% | 9.15% |
$1,500 to $1,999 | 46, 1.30%, see rank | 0.56% | 2.05% |
$2,000 or More | 21, 0.59%, see rank | 0.19% | 1.02% |
Median | $380, 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.