66204 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 66204 Zip Code | Kansas | U.S. |
Occupied Units Paying Rent | 4,293, 100% | 341,781 | 39,201,928 |
$199 or Less | 152, 3.54%, see rank | 1.48% | 1.50% |
$200 to $299 | 154, 3.59%, see rank | 3.56% | 3.18% |
$300 to $499 | 53, 1.23%, see rank | 12.36% | 7.37% |
$500 to $699 | 600, 13.98%, see rank | 25.83% | 16.01% |
$700 to $999 | 1,999, 46.56%, see rank | 33.46% | 29.17% |
$1,000 to $1,499 | 1,056, 24.60%, see rank | 17.60% | 26.88% |
$1,500 to $1,999 | 191, 4.45%, see rank | 3.80% | 9.79% |
$2,000 or More | 88, 2.05%, see rank | 1.92% | 6.10% |
Median | $863, see rank | $748 | $920 |
ACS 2008-2012 data
Monthly Rental | 66204 Zip Code | Kansas | U.S. |
Occupied Units Paying Rent | 4,044, 100% | 329,441 | 37,562,111 |
$199 or Less | 67, 1.66%, see rank | 1.79% | 1.76% |
$200 to $299 | 137, 3.39%, see rank | 3.83% | 3.29% |
$300 to $499 | 53, 1.31%, see rank | 14.84% | 8.20% |
$500 to $699 | 709, 17.53%, see rank | 27.41% | 17.39% |
$700 to $999 | 1,921, 47.50%, see rank | 31.87% | 29.40% |
$1,000 to $1,499 | 899, 22.23%, see rank | 15.62% | 25.73% |
$1,500 to $1,999 | 188, 4.65%, see rank | 3.11% | 8.92% |
$2,000 or More | 70, 1.73%, see rank | 1.54% | 5.30% |
Median | $839, see rank | $715 | $889 |
US Census 2000 data
Monthly Rental | 66204 Zip Code | Kansas | U.S. |
Occupied Units Paying Rent | 3,853, 100% | 291,240 | 33,386,326 |
$199 or Less | 147, 3.82%, see rank | 5.95% | 5.52% |
$200 to $299 | 80, 2.08%, see rank | 8.87% | 5.45% |
$300 to $499 | 293, 7.60%, see rank | 35.57% | 23.18% |
$500 to $699 | 1,497, 38.85%, see rank | 29.55% | 29.57% |
$700 to $999 | 1,486, 38.57%, see rank | 14.99% | 24.06% |
$1,000 to $1,499 | 212, 5.50%, see rank | 3.84% | 9.15% |
$1,500 to $1,999 | 100, 2.60%, see rank | 0.81% | 2.05% |
$2,000 or More | 38, 0.99%, see rank | 0.42% | 1.02% |
Median | $691, see rank | $498 | $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.