51503 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 51503 Zip Code | Iowa | U.S. |
Occupied Units Paying Rent | 4,214, 100% | 324,469 | 39,201,928 |
$199 or Less | 50, 1.19%, see rank | 1.67% | 1.50% |
$200 to $299 | 187, 4.44%, see rank | 4.14% | 3.18% |
$300 to $499 | 375, 8.90%, see rank | 16.06% | 7.37% |
$500 to $699 | 1,118, 26.53%, see rank | 29.77% | 16.01% |
$700 to $999 | 1,687, 40.03%, see rank | 31.63% | 29.17% |
$1,000 to $1,499 | 564, 13.38%, see rank | 12.90% | 26.88% |
$1,500 to $1,999 | 130, 3.08%, see rank | 2.30% | 9.79% |
$2,000 or More | 103, 2.44%, see rank | 1.53% | 6.10% |
Median | $749, see rank | $689 | $920 |
ACS 2008-2012 data
Monthly Rental | 51503 Zip Code | Iowa | U.S. |
Occupied Units Paying Rent | 4,351, 100% | 312,187 | 37,562,111 |
$199 or Less | 128, 2.94%, see rank | 2.25% | 1.76% |
$200 to $299 | 180, 4.14%, see rank | 4.51% | 3.29% |
$300 to $499 | 490, 11.26%, see rank | 18.26% | 8.20% |
$500 to $699 | 1,165, 26.78%, see rank | 31.70% | 17.39% |
$700 to $999 | 1,715, 39.42%, see rank | 29.93% | 29.40% |
$1,000 to $1,499 | 512, 11.77%, see rank | 10.24% | 25.73% |
$1,500 to $1,999 | 140, 3.22%, see rank | 1.86% | 8.92% |
$2,000 or More | 21, 0.48%, see rank | 1.26% | 5.30% |
Median | $730, see rank | $655 | $889 |
US Census 2000 data
Monthly Rental | 51503 Zip Code | Iowa | U.S. |
Occupied Units Paying Rent | 3,556, 100% | 282,815 | 33,386,326 |
$199 or Less | 224, 6.30%, see rank | 7.67% | 5.52% |
$200 to $299 | 242, 6.81%, see rank | 10.55% | 5.45% |
$300 to $499 | 950, 26.72%, see rank | 38.18% | 23.18% |
$500 to $699 | 1,329, 37.37%, see rank | 29.56% | 29.57% |
$700 to $999 | 630, 17.72%, see rank | 11.28% | 24.06% |
$1,000 to $1,499 | 155, 4.36%, see rank | 2.19% | 9.15% |
$1,500 to $1,999 | 26, 0.73%, see rank | 0.42% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.15% | 1.02% |
Median | $553, see rank | $470 | $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.