77082 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 77082 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 12,799, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 48, 0.38%, see rank | 1.28% | 1.50% |
$200 to $299 | 112, 0.88%, see rank | 2.20% | 3.18% |
$300 to $499 | 65, 0.51%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,571, 12.27%, see rank | 19.10% | 16.01% |
$700 to $999 | 4,783, 37.37%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 5,236, 40.91%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 826, 6.45%, see rank | 6.97% | 9.79% |
$2,000 or More | 158, 1.23%, see rank | 2.73% | 6.10% |
Median | $992, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 77082 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 10,916, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 109, 1.00%, see rank | 1.51% | 1.76% |
$200 to $299 | 19, 0.17%, see rank | 2.28% | 3.29% |
$300 to $499 | 152, 1.39%, see rank | 7.24% | 8.20% |
$500 to $699 | 1,440, 13.19%, see rank | 21.50% | 17.39% |
$700 to $999 | 4,793, 43.91%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 3,815, 34.95%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 487, 4.46%, see rank | 5.73% | 8.92% |
$2,000 or More | 101, 0.93%, see rank | 2.19% | 5.30% |
Median | $947, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 77082 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 9,305, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 101, 1.09%, see rank | 4.68% | 5.52% |
$200 to $299 | 0, 0.00%, see rank | 4.95% | 5.45% |
$300 to $499 | 917, 9.85%, see rank | 26.56% | 23.18% |
$500 to $699 | 3,356, 36.07%, see rank | 33.28% | 29.57% |
$700 to $999 | 3,713, 39.90%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 1,169, 12.56%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 35, 0.38%, see rank | 1.14% | 2.05% |
$2,000 or More | 14, 0.15%, see rank | 0.50% | 1.02% |
Median | $714, 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.