73703 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 73703 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,881, 100% | 442,267 | 39,201,928 |
$199 or Less | 25, 0.64%, see rank | 1.87% | 1.50% |
$200 to $299 | 139, 3.58%, see rank | 3.84% | 3.18% |
$300 to $499 | 442, 11.39%, see rank | 12.53% | 7.37% |
$500 to $699 | 968, 24.94%, see rank | 29.35% | 16.01% |
$700 to $999 | 1,156, 29.79%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 842, 21.70%, see rank | 15.53% | 26.88% |
$1,500 to $1,999 | 286, 7.37%, see rank | 2.68% | 9.79% |
$2,000 or More | 23, 0.59%, see rank | 1.25% | 6.10% |
Median | $781, see rank | $717 | $920 |
ACS 2008-2012 data
Monthly Rental | 73703 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,854, 100% | 425,042 | 37,562,111 |
$199 or Less | 25, 0.65%, see rank | 1.95% | 1.76% |
$200 to $299 | 152, 3.94%, see rank | 4.18% | 3.29% |
$300 to $499 | 516, 13.39%, see rank | 15.59% | 8.20% |
$500 to $699 | 1,335, 34.64%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,021, 26.49%, see rank | 30.52% | 29.40% |
$1,000 to $1,499 | 598, 15.52%, see rank | 13.26% | 25.73% |
$1,500 to $1,999 | 171, 4.44%, see rank | 1.94% | 8.92% |
$2,000 or More | 36, 0.93%, see rank | 1.07% | 5.30% |
Median | $689, see rank | $679 | $889 |
US Census 2000 data
Monthly Rental | 73703 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 2,687, 100% | 377,894 | 33,386,326 |
$199 or Less | 98, 3.65%, see rank | 7.14% | 5.52% |
$200 to $299 | 149, 5.55%, see rank | 9.51% | 5.45% |
$300 to $499 | 1,216, 45.25%, see rank | 43.41% | 23.18% |
$500 to $699 | 758, 28.21%, see rank | 26.90% | 29.57% |
$700 to $999 | 394, 14.66%, see rank | 10.18% | 24.06% |
$1,000 to $1,499 | 37, 1.38%, see rank | 2.16% | 9.15% |
$1,500 to $1,999 | 27, 1.00%, see rank | 0.49% | 2.05% |
$2,000 or More | 8, 0.30%, see rank | 0.21% | 1.02% |
Median | $479, 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.