78753 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 78753 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 11,676, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 59, 0.51%, see rank | 1.28% | 1.50% |
$200 to $299 | 158, 1.35%, see rank | 2.20% | 3.18% |
$300 to $499 | 235, 2.01%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,978, 16.94%, see rank | 19.10% | 16.01% |
$700 to $999 | 5,920, 50.70%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 2,814, 24.10%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 500, 4.28%, see rank | 6.97% | 9.79% |
$2,000 or More | 12, 0.10%, see rank | 2.73% | 6.10% |
Median | $869, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 78753 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 11,138, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 13, 0.12%, see rank | 1.51% | 1.76% |
$200 to $299 | 178, 1.60%, see rank | 2.28% | 3.29% |
$300 to $499 | 310, 2.78%, see rank | 7.24% | 8.20% |
$500 to $699 | 2,305, 20.69%, see rank | 21.50% | 17.39% |
$700 to $999 | 5,727, 51.42%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 2,273, 20.41%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 332, 2.98%, see rank | 5.73% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 2.19% | 5.30% |
Median | $826, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 78753 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 9,588, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 153, 1.60%, see rank | 4.68% | 5.52% |
$200 to $299 | 122, 1.27%, see rank | 4.95% | 5.45% |
$300 to $499 | 906, 9.45%, see rank | 26.56% | 23.18% |
$500 to $699 | 4,539, 47.34%, see rank | 33.28% | 29.57% |
$700 to $999 | 3,350, 34.94%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 497, 5.18%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 21, 0.22%, see rank | 1.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.50% | 1.02% |
Median | $654, 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.