87532 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 87532 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 1,976, 100% | 224,786 | 39,201,928 |
$199 or Less | 56, 2.83%, see rank | 1.92% | 1.50% |
$200 to $299 | 112, 5.67%, see rank | 3.59% | 3.18% |
$300 to $499 | 328, 16.60%, see rank | 11.64% | 7.37% |
$500 to $699 | 491, 24.85%, see rank | 23.80% | 16.01% |
$700 to $999 | 741, 37.50%, see rank | 31.60% | 29.17% |
$1,000 to $1,499 | 211, 10.68%, see rank | 21.59% | 26.88% |
$1,500 to $1,999 | 19, 0.96%, see rank | 4.42% | 9.79% |
$2,000 or More | 18, 0.91%, see rank | 1.44% | 6.10% |
Median | $700, see rank | $774 | $920 |
ACS 2008-2012 data
Monthly Rental | 87532 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 1,560, 100% | 217,829 | 37,562,111 |
$199 or Less | 56, 3.59%, see rank | 2.41% | 1.76% |
$200 to $299 | 90, 5.77%, see rank | 3.72% | 3.29% |
$300 to $499 | 257, 16.47%, see rank | 13.31% | 8.20% |
$500 to $699 | 360, 23.08%, see rank | 25.69% | 17.39% |
$700 to $999 | 632, 40.51%, see rank | 31.13% | 29.40% |
$1,000 to $1,499 | 147, 9.42%, see rank | 18.95% | 25.73% |
$1,500 to $1,999 | 18, 1.15%, see rank | 3.43% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.36% | 5.30% |
Median | $705, see rank | $736 | $889 |
US Census 2000 data
Monthly Rental | 87532 Zip Code | New Mexico | U.S. |
Occupied Units Paying Rent | 1,286, 100% | 181,450 | 33,386,326 |
$199 or Less | 252, 19.60%, see rank | 7.20% | 5.52% |
$200 to $299 | 157, 12.21%, see rank | 7.66% | 5.45% |
$300 to $499 | 413, 32.12%, see rank | 34.67% | 23.18% |
$500 to $699 | 307, 23.87%, see rank | 28.00% | 29.57% |
$700 to $999 | 136, 10.58%, see rank | 16.04% | 24.06% |
$1,000 to $1,499 | 20, 1.56%, see rank | 5.05% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.98% | 2.05% |
$2,000 or More | 1, 0.08%, see rank | 0.41% | 1.02% |
Median | $447, 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.