77705 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 77705 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,812, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 98, 2.57%, see rank | 1.28% | 1.50% |
$200 to $299 | 159, 4.17%, see rank | 2.20% | 3.18% |
$300 to $499 | 473, 12.41%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,187, 31.14%, see rank | 19.10% | 16.01% |
$700 to $999 | 1,289, 33.81%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 551, 14.45%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 55, 1.44%, see rank | 6.97% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 2.73% | 6.10% |
Median | $697, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 77705 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,651, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 103, 2.82%, see rank | 1.51% | 1.76% |
$200 to $299 | 127, 3.48%, see rank | 2.28% | 3.29% |
$300 to $499 | 645, 17.67%, see rank | 7.24% | 8.20% |
$500 to $699 | 1,059, 29.01%, see rank | 21.50% | 17.39% |
$700 to $999 | 1,226, 33.58%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 442, 12.11%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 31, 0.85%, see rank | 5.73% | 8.92% |
$2,000 or More | 18, 0.49%, see rank | 2.19% | 5.30% |
Median | $679, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 77705 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,674, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 282, 7.68%, see rank | 4.68% | 5.52% |
$200 to $299 | 370, 10.07%, see rank | 4.95% | 5.45% |
$300 to $499 | 1,925, 52.40%, see rank | 26.56% | 23.18% |
$500 to $699 | 850, 23.14%, see rank | 33.28% | 29.57% |
$700 to $999 | 200, 5.44%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 41, 1.12%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 6, 0.16%, see rank | 1.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.50% | 1.02% |
Median | $421, 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.