74145 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 74145 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,344, 100% | 442,267 | 39,201,928 |
$199 or Less | 87, 2.60%, see rank | 1.87% | 1.50% |
$200 to $299 | 66, 1.97%, see rank | 3.84% | 3.18% |
$300 to $499 | 92, 2.75%, see rank | 12.53% | 7.37% |
$500 to $699 | 973, 29.10%, see rank | 29.35% | 16.01% |
$700 to $999 | 1,446, 43.24%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 622, 18.60%, see rank | 15.53% | 26.88% |
$1,500 to $1,999 | 54, 1.61%, see rank | 2.68% | 9.79% |
$2,000 or More | 4, 0.12%, see rank | 1.25% | 6.10% |
Median | $774, see rank | $717 | $920 |
ACS 2008-2012 data
Monthly Rental | 74145 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,419, 100% | 425,042 | 37,562,111 |
$199 or Less | 86, 2.52%, see rank | 1.95% | 1.76% |
$200 to $299 | 68, 1.99%, see rank | 4.18% | 3.29% |
$300 to $499 | 219, 6.41%, see rank | 15.59% | 8.20% |
$500 to $699 | 1,109, 32.44%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,183, 34.60%, see rank | 30.52% | 29.40% |
$1,000 to $1,499 | 669, 19.57%, see rank | 13.26% | 25.73% |
$1,500 to $1,999 | 76, 2.22%, see rank | 1.94% | 8.92% |
$2,000 or More | 9, 0.26%, see rank | 1.07% | 5.30% |
Median | $748, see rank | $679 | $889 |
US Census 2000 data
Monthly Rental | 74145 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,798, 100% | 377,894 | 33,386,326 |
$199 or Less | 132, 3.48%, see rank | 7.14% | 5.52% |
$200 to $299 | 31, 0.82%, see rank | 9.51% | 5.45% |
$300 to $499 | 1,125, 29.62%, see rank | 43.41% | 23.18% |
$500 to $699 | 1,646, 43.34%, see rank | 26.90% | 29.57% |
$700 to $999 | 729, 19.19%, see rank | 10.18% | 24.06% |
$1,000 to $1,499 | 116, 3.05%, see rank | 2.16% | 9.15% |
$1,500 to $1,999 | 12, 0.32%, see rank | 0.49% | 2.05% |
$2,000 or More | 7, 0.18%, see rank | 0.21% | 1.02% |
Median | $564, see rank | $456 | $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.