77024 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 77024 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,233, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 9, 0.21%, see rank | 1.28% | 1.50% |
$200 to $299 | 11, 0.26%, see rank | 2.20% | 3.18% |
$300 to $499 | 16, 0.38%, see rank | 6.35% | 7.37% |
$500 to $699 | 187, 4.42%, see rank | 19.10% | 16.01% |
$700 to $999 | 910, 21.50%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 1,509, 35.65%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 861, 20.34%, see rank | 6.97% | 9.79% |
$2,000 or More | 730, 17.25%, see rank | 2.73% | 6.10% |
Median | $1,301, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 77024 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,791, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 1.51% | 1.76% |
$200 to $299 | 11, 0.29%, see rank | 2.28% | 3.29% |
$300 to $499 | 27, 0.71%, see rank | 7.24% | 8.20% |
$500 to $699 | 208, 5.49%, see rank | 21.50% | 17.39% |
$700 to $999 | 961, 25.35%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 1,444, 38.09%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 662, 17.46%, see rank | 5.73% | 8.92% |
$2,000 or More | 478, 12.61%, see rank | 2.19% | 5.30% |
Median | $1,185, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 77024 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 3,751, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 40, 1.07%, see rank | 4.68% | 5.52% |
$200 to $299 | 14, 0.37%, see rank | 4.95% | 5.45% |
$300 to $499 | 184, 4.91%, see rank | 26.56% | 23.18% |
$500 to $699 | 952, 25.38%, see rank | 33.28% | 29.57% |
$700 to $999 | 1,317, 35.11%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 540, 14.40%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 209, 5.57%, see rank | 1.14% | 2.05% |
$2,000 or More | 495, 13.20%, see rank | 0.50% | 1.02% |
Median | $831, 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.