89506 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 89506 Zip Code | Nevada | U.S. |
Occupied Units Paying Rent | 3,622, 100% | 431,595 | 39,201,928 |
$199 or Less | 76, 2.10%, see rank | 0.60% | 1.50% |
$200 to $299 | 35, 0.97%, see rank | 0.99% | 3.18% |
$300 to $499 | 63, 1.74%, see rank | 3.52% | 7.37% |
$500 to $699 | 193, 5.33%, see rank | 13.81% | 16.01% |
$700 to $999 | 1,257, 34.70%, see rank | 33.24% | 29.17% |
$1,000 to $1,499 | 1,639, 45.25%, see rank | 33.72% | 26.88% |
$1,500 to $1,999 | 359, 9.91%, see rank | 10.48% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 3.64% | 6.10% |
Median | $1,039, see rank | $980 | $920 |
ACS 2008-2012 data
Monthly Rental | 89506 Zip Code | Nevada | U.S. |
Occupied Units Paying Rent | 3,436, 100% | 404,621 | 37,562,111 |
$199 or Less | 15, 0.44%, see rank | 0.60% | 1.76% |
$200 to $299 | 28, 0.81%, see rank | 1.11% | 3.29% |
$300 to $499 | 63, 1.83%, see rank | 3.35% | 8.20% |
$500 to $699 | 239, 6.96%, see rank | 12.31% | 17.39% |
$700 to $999 | 1,142, 33.24%, see rank | 32.58% | 29.40% |
$1,000 to $1,499 | 1,512, 44.00%, see rank | 34.94% | 25.73% |
$1,500 to $1,999 | 388, 11.29%, see rank | 11.25% | 8.92% |
$2,000 or More | 49, 1.43%, see rank | 3.87% | 5.30% |
Median | $1,053, see rank | $1,001 | $889 |
US Census 2000 data
Monthly Rental | 89506 Zip Code | Nevada | U.S. |
Occupied Units Paying Rent | 2,020, 100% | 283,497 | 33,386,326 |
$199 or Less | 16, 0.79%, see rank | 2.22% | 5.52% |
$200 to $299 | 112, 5.54%, see rank | 2.05% | 5.45% |
$300 to $499 | 181, 8.96%, see rank | 12.60% | 23.18% |
$500 to $699 | 539, 26.68%, see rank | 33.35% | 29.57% |
$700 to $999 | 870, 43.07%, see rank | 36.36% | 24.06% |
$1,000 to $1,499 | 287, 14.21%, see rank | 11.74% | 9.15% |
$1,500 to $1,999 | 15, 0.74%, see rank | 1.28% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.40% | 1.02% |
Median | $734, see rank | $699 | $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.