88240 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 88240 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 3,659, 100% | 224,786 | 39,201,928 |
$199 or Less | 72, 1.97%, see rank | 1.92% | 1.50% |
$200 to $299 | 127, 3.47%, see rank | 3.59% | 3.18% |
$300 to $499 | 206, 5.63%, see rank | 11.64% | 7.37% |
$500 to $699 | 899, 24.57%, see rank | 23.80% | 16.01% |
$700 to $999 | 1,268, 34.65%, see rank | 31.60% | 29.17% |
$1,000 to $1,499 | 895, 24.46%, see rank | 21.59% | 26.88% |
$1,500 to $1,999 | 139, 3.80%, see rank | 4.42% | 9.79% |
$2,000 or More | 53, 1.45%, see rank | 1.44% | 6.10% |
Median | $836, see rank | $774 | $920 |
ACS 2008-2012 data
Monthly Rental | 88240 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 3,882, 100% | 217,829 | 37,562,111 |
$199 or Less | 141, 3.63%, see rank | 2.41% | 1.76% |
$200 to $299 | 131, 3.37%, see rank | 3.72% | 3.29% |
$300 to $499 | 493, 12.70%, see rank | 13.31% | 8.20% |
$500 to $699 | 922, 23.75%, see rank | 25.69% | 17.39% |
$700 to $999 | 1,210, 31.17%, see rank | 31.13% | 29.40% |
$1,000 to $1,499 | 821, 21.15%, see rank | 18.95% | 25.73% |
$1,500 to $1,999 | 60, 1.55%, see rank | 3.43% | 8.92% |
$2,000 or More | 104, 2.68%, see rank | 1.36% | 5.30% |
Median | $750, see rank | $736 | $889 |
US Census 2000 data
Monthly Rental | 88240 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 3,242, 100% | 181,450 | 33,386,326 |
$199 or Less | 410, 12.65%, see rank | 7.20% | 5.52% |
$200 to $299 | 475, 14.65%, see rank | 7.66% | 5.45% |
$300 to $499 | 1,564, 48.24%, see rank | 34.67% | 23.18% |
$500 to $699 | 640, 19.74%, see rank | 28.00% | 29.57% |
$700 to $999 | 137, 4.23%, see rank | 16.04% | 24.06% |
$1,000 to $1,499 | 16, 0.49%, see rank | 5.05% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.98% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.41% | 1.02% |
Median | $393, see rank | $503 | $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.