64748 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 64748 Zip Code | Missouri | U.S. |
| Occupied Units Paying Rent | 151, 100% | 707,222 | 39,201,928 |
| $199 or Less | 18, 11.92%, see rank | 1.46% | 1.50% |
| $200 to $299 | 15, 9.93%, see rank | 4.15% | 3.18% |
| $300 to $499 | 66, 43.71%, see rank | 12.55% | 7.37% |
| $500 to $699 | 31, 20.53%, see rank | 25.75% | 16.01% |
| $700 to $999 | 21, 13.91%, see rank | 34.37% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 17.38% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.90% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.44% | 6.10% |
| Median | $453, see rank | $740 | $920 |
ACS 2008-2012 data
| Monthly Rental | 64748 Zip Code | Missouri | U.S. |
| Occupied Units Paying Rent | 135, 100% | 681,723 | 37,562,111 |
| $199 or Less | 18, 13.33%, see rank | 1.89% | 1.76% |
| $200 to $299 | 5, 3.70%, see rank | 4.34% | 3.29% |
| $300 to $499 | 60, 44.44%, see rank | 14.25% | 8.20% |
| $500 to $699 | 34, 25.19%, see rank | 27.83% | 17.39% |
| $700 to $999 | 18, 13.33%, see rank | 33.33% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 14.89% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.32% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.16% | 5.30% |
| Median | $452, see rank | $712 | $889 |
US Census 2000 data
| Monthly Rental | 64748 Zip Code | Missouri | U.S. |
| Occupied Units Paying Rent | 144, 100% | 593,360 | 33,386,326 |
| $199 or Less | 31, 21.53%, see rank | 7.02% | 5.52% |
| $200 to $299 | 15, 10.42%, see rank | 9.11% | 5.45% |
| $300 to $499 | 85, 59.03%, see rank | 37.21% | 23.18% |
| $500 to $699 | 11, 7.64%, see rank | 29.76% | 29.57% |
| $700 to $999 | 2, 1.39%, see rank | 13.36% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 2.70% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.55% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.30% | 1.02% |
| Median | $356, see rank | $484 | $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.
