77091 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 77091 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 5,109, 100% | 3,174,412 | 39,201,928 |
$199 or Less | 68, 1.33%, see rank | 1.28% | 1.50% |
$200 to $299 | 109, 2.13%, see rank | 2.20% | 3.18% |
$300 to $499 | 642, 12.57%, see rank | 6.35% | 7.37% |
$500 to $699 | 1,681, 32.90%, see rank | 19.10% | 16.01% |
$700 to $999 | 1,855, 36.31%, see rank | 35.25% | 29.17% |
$1,000 to $1,499 | 701, 13.72%, see rank | 26.13% | 26.88% |
$1,500 to $1,999 | 53, 1.04%, see rank | 6.97% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 2.73% | 6.10% |
Median | $706, see rank | $870 | $920 |
ACS 2008-2012 data
Monthly Rental | 77091 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,593, 100% | 2,988,548 | 37,562,111 |
$199 or Less | 56, 1.22%, see rank | 1.51% | 1.76% |
$200 to $299 | 124, 2.70%, see rank | 2.28% | 3.29% |
$300 to $499 | 741, 16.13%, see rank | 7.24% | 8.20% |
$500 to $699 | 1,391, 30.29%, see rank | 21.50% | 17.39% |
$700 to $999 | 1,632, 35.53%, see rank | 35.71% | 29.40% |
$1,000 to $1,499 | 604, 13.15%, see rank | 23.84% | 25.73% |
$1,500 to $1,999 | 15, 0.33%, see rank | 5.73% | 8.92% |
$2,000 or More | 30, 0.65%, see rank | 2.19% | 5.30% |
Median | $698, see rank | $834 | $889 |
US Census 2000 data
Monthly Rental | 77091 Zip Code | Texas | U.S. |
Occupied Units Paying Rent | 4,891, 100% | 2,505,578 | 33,386,326 |
$199 or Less | 262, 5.36%, see rank | 4.68% | 5.52% |
$200 to $299 | 153, 3.13%, see rank | 4.95% | 5.45% |
$300 to $499 | 2,264, 46.29%, see rank | 26.56% | 23.18% |
$500 to $699 | 1,808, 36.97%, see rank | 33.28% | 29.57% |
$700 to $999 | 356, 7.28%, see rank | 22.18% | 24.06% |
$1,000 to $1,499 | 42, 0.86%, see rank | 6.70% | 9.15% |
$1,500 to $1,999 | 6, 0.12%, see rank | 1.14% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.50% | 1.02% |
Median | $485, 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.