73069 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 73069 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 4,641, 100% | 442,267 | 39,201,928 |
$199 or Less | 30, 0.65%, see rank | 1.87% | 1.50% |
$200 to $299 | 29, 0.62%, see rank | 3.84% | 3.18% |
$300 to $499 | 417, 8.99%, see rank | 12.53% | 7.37% |
$500 to $699 | 1,489, 32.08%, see rank | 29.35% | 16.01% |
$700 to $999 | 1,722, 37.10%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 789, 17.00%, see rank | 15.53% | 26.88% |
$1,500 to $1,999 | 143, 3.08%, see rank | 2.68% | 9.79% |
$2,000 or More | 22, 0.47%, see rank | 1.25% | 6.10% |
Median | $749, see rank | $717 | $920 |
ACS 2008-2012 data
Monthly Rental | 73069 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 4,543, 100% | 425,042 | 37,562,111 |
$199 or Less | 46, 1.01%, see rank | 1.95% | 1.76% |
$200 to $299 | 64, 1.41%, see rank | 4.18% | 3.29% |
$300 to $499 | 594, 13.08%, see rank | 15.59% | 8.20% |
$500 to $699 | 1,607, 35.37%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,498, 32.97%, see rank | 30.52% | 29.40% |
$1,000 to $1,499 | 591, 13.01%, see rank | 13.26% | 25.73% |
$1,500 to $1,999 | 110, 2.42%, see rank | 1.94% | 8.92% |
$2,000 or More | 33, 0.73%, see rank | 1.07% | 5.30% |
Median | $694, see rank | $679 | $889 |
US Census 2000 data
Monthly Rental | 73069 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 4,893, 100% | 377,894 | 33,386,326 |
$199 or Less | 148, 3.02%, see rank | 7.14% | 5.52% |
$200 to $299 | 363, 7.42%, see rank | 9.51% | 5.45% |
$300 to $499 | 2,245, 45.88%, see rank | 43.41% | 23.18% |
$500 to $699 | 1,399, 28.59%, see rank | 26.90% | 29.57% |
$700 to $999 | 666, 13.61%, see rank | 10.18% | 24.06% |
$1,000 to $1,499 | 41, 0.84%, see rank | 2.16% | 9.15% |
$1,500 to $1,999 | 24, 0.49%, see rank | 0.49% | 2.05% |
$2,000 or More | 7, 0.14%, see rank | 0.21% | 1.02% |
Median | $475, 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.