74869 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 74869 Zip Code | Oklahoma | U.S. |
| Occupied Units Paying Rent | 59, 100% | 442,267 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.87% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 3.84% | 3.18% |
| $300 to $499 | 2, 3.39%, see rank | 12.53% | 7.37% |
| $500 to $699 | 17, 28.81%, see rank | 29.35% | 16.01% |
| $700 to $999 | 40, 67.80%, see rank | 32.95% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 15.53% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.68% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.25% | 6.10% |
| Median | $713, see rank | $717 | $920 |
ACS 2008-2012 data
| Monthly Rental | 74869 Zip Code | Oklahoma | U.S. |
| Occupied Units Paying Rent | 44, 100% | 425,042 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.95% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 4.18% | 3.29% |
| $300 to $499 | 4, 9.09%, see rank | 15.59% | 8.20% |
| $500 to $699 | 40, 90.91%, see rank | 31.48% | 17.39% |
| $700 to $999 | 0, 0.00%, see rank | 30.52% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 13.26% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.94% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.07% | 5.30% |
| Median | $645, see rank | $679 | $889 |
US Census 2000 data
| Monthly Rental | 74869 Zip Code | Oklahoma | U.S. |
| Occupied Units Paying Rent | 16, 100% | 377,894 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 7.14% | 5.52% |
| $200 to $299 | 4, 25.00%, see rank | 9.51% | 5.45% |
| $300 to $499 | 12, 75.00%, see rank | 43.41% | 23.18% |
| $500 to $699 | 0, 0.00%, see rank | 26.90% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 10.18% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $340, 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.
