74106 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 74106 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,264, 100% | 442,267 | 39,201,928 |
$199 or Less | 390, 11.95%, see rank | 1.87% | 1.50% |
$200 to $299 | 489, 14.98%, see rank | 3.84% | 3.18% |
$300 to $499 | 552, 16.91%, see rank | 12.53% | 7.37% |
$500 to $699 | 565, 17.31%, see rank | 29.35% | 16.01% |
$700 to $999 | 938, 28.74%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 302, 9.25%, see rank | 15.53% | 26.88% |
$1,500 to $1,999 | 28, 0.86%, see rank | 2.68% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 1.25% | 6.10% |
Median | $584, see rank | $717 | $920 |
ACS 2008-2012 data
Monthly Rental | 74106 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 3,270, 100% | 425,042 | 37,562,111 |
$199 or Less | 542, 16.57%, see rank | 1.95% | 1.76% |
$200 to $299 | 406, 12.42%, see rank | 4.18% | 3.29% |
$300 to $499 | 575, 17.58%, see rank | 15.59% | 8.20% |
$500 to $699 | 543, 16.61%, see rank | 31.48% | 17.39% |
$700 to $999 | 695, 21.25%, see rank | 30.52% | 29.40% |
$1,000 to $1,499 | 449, 13.73%, see rank | 13.26% | 25.73% |
$1,500 to $1,999 | 60, 1.83%, see rank | 1.94% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 1.07% | 5.30% |
Median | $544, see rank | $679 | $889 |
US Census 2000 data
Monthly Rental | 74106 Zip Code | Oklahoma | U.S. |
Occupied Units Paying Rent | 2,883, 100% | 377,894 | 33,386,326 |
$199 or Less | 704, 24.42%, see rank | 7.14% | 5.52% |
$200 to $299 | 324, 11.24%, see rank | 9.51% | 5.45% |
$300 to $499 | 995, 34.51%, see rank | 43.41% | 23.18% |
$500 to $699 | 584, 20.26%, see rank | 26.90% | 29.57% |
$700 to $999 | 212, 7.35%, see rank | 10.18% | 24.06% |
$1,000 to $1,499 | 64, 2.22%, see rank | 2.16% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.49% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.21% | 1.02% |
Median | $389, 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.