77087 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 77087 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,769, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 34, 0.71%, see rank | 1.28% | 1.50% |
$200 to $299 | 184, 3.86%, see rank | 2.20% | 3.18% |
$300 to $499 | 454, 9.52%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,523, 31.94%, see rank | 19.10% | 16.01% |
$700 to $999 | 1,447, 30.34%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 1,047, 21.95%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 80, 1.68%, see rank | 6.97% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 2.73% | 6.10% |
Median | $735, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 77087 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,299, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 50, 1.16%, see rank | 1.51% | 1.76% |
$200 to $299 | 155, 3.61%, see rank | 2.28% | 3.29% |
$300 to $499 | 402, 9.35%, see rank | 7.24% | 8.20% |
$500 to $699 | 1,686, 39.22%, see rank | 21.50% | 17.39% |
$700 to $999 | 1,279, 29.75%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 650, 15.12%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 77, 1.79%, see rank | 5.73% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 2.19% | 5.30% |
Median | $683, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 77087 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,962, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 194, 4.90%, see rank | 4.68% | 5.52% |
$200 to $299 | 224, 5.65%, see rank | 4.95% | 5.45% |
$300 to $499 | 1,888, 47.65%, see rank | 26.56% | 23.18% |
$500 to $699 | 1,219, 30.77%, see rank | 33.28% | 29.57% |
$700 to $999 | 427, 10.78%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 4, 0.10%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 6, 0.15%, see rank | 1.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.50% | 1.02% |
Median | $470, see rank | $574 | $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.