78752 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 78752 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 5,552, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 40, 0.72%, see rank | 1.28% | 1.50% |
$200 to $299 | 34, 0.61%, see rank | 2.20% | 3.18% |
$300 to $499 | 238, 4.29%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,008, 18.16%, see rank | 19.10% | 16.01% |
$700 to $999 | 2,721, 49.01%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 1,124, 20.24%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 286, 5.15%, see rank | 6.97% | 9.79% |
$2,000 or More | 101, 1.82%, see rank | 2.73% | 6.10% |
Median | $831, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 78752 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 5,333, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 52, 0.98%, see rank | 1.51% | 1.76% |
$200 to $299 | 52, 0.98%, see rank | 2.28% | 3.29% |
$300 to $499 | 282, 5.29%, see rank | 7.24% | 8.20% |
$500 to $699 | 1,622, 30.41%, see rank | 21.50% | 17.39% |
$700 to $999 | 2,341, 43.90%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 823, 15.43%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 117, 2.19%, see rank | 5.73% | 8.92% |
$2,000 or More | 44, 0.83%, see rank | 2.19% | 5.30% |
Median | $752, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 78752 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,910, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 93, 1.89%, see rank | 4.68% | 5.52% |
$200 to $299 | 16, 0.33%, see rank | 4.95% | 5.45% |
$300 to $499 | 467, 9.51%, see rank | 26.56% | 23.18% |
$500 to $699 | 2,685, 54.68%, see rank | 33.28% | 29.57% |
$700 to $999 | 1,332, 27.13%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 234, 4.77%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 76, 1.55%, see rank | 1.14% | 2.05% |
$2,000 or More | 7, 0.14%, see rank | 0.50% | 1.02% |
Median | $643, 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.