73034 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 73034 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 4,285, 100% | 442,267 | 39,201,928 |
$199 or Less | 42, 0.98%, see rank | 1.87% | 1.50% |
$200 to $299 | 73, 1.70%, see rank | 3.84% | 3.18% |
$300 to $499 | 372, 8.68%, see rank | 12.53% | 7.37% |
$500 to $699 | 1,255, 29.29%, see rank | 29.35% | 16.01% |
$700 to $999 | 1,547, 36.10%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 526, 12.28%, see rank | 15.53% | 26.88% |
$1,500 to $1,999 | 257, 6.00%, see rank | 2.68% | 9.79% |
$2,000 or More | 213, 4.97%, see rank | 1.25% | 6.10% |
Median | $800, see rank | $717 | $920 |
ACS 2008-2012 data
Monthly Rental | 73034 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 4,034, 100% | 425,042 | 37,562,111 |
$199 or Less | 56, 1.39%, see rank | 1.95% | 1.76% |
$200 to $299 | 105, 2.60%, see rank | 4.18% | 3.29% |
$300 to $499 | 375, 9.30%, see rank | 15.59% | 8.20% |
$500 to $699 | 1,149, 28.48%, see rank | 31.48% | 17.39% |
$700 to $999 | 1,446, 35.85%, see rank | 30.52% | 29.40% |
$1,000 to $1,499 | 464, 11.50%, see rank | 13.26% | 25.73% |
$1,500 to $1,999 | 285, 7.06%, see rank | 1.94% | 8.92% |
$2,000 or More | 154, 3.82%, see rank | 1.07% | 5.30% |
Median | $772, see rank | $679 | $889 |
US Census 2000 data
Monthly Rental | 73034 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,340, 100% | 377,894 | 33,386,326 |
$199 or Less | 147, 4.40%, see rank | 7.14% | 5.52% |
$200 to $299 | 188, 5.63%, see rank | 9.51% | 5.45% |
$300 to $499 | 1,490, 44.61%, see rank | 43.41% | 23.18% |
$500 to $699 | 1,044, 31.26%, see rank | 26.90% | 29.57% |
$700 to $999 | 281, 8.41%, see rank | 10.18% | 24.06% |
$1,000 to $1,499 | 147, 4.40%, see rank | 2.16% | 9.15% |
$1,500 to $1,999 | 43, 1.29%, see rank | 0.49% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.21% | 1.02% |
Median | $484, 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.