50150 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 50150 Zip Code | Iowa | U.S. |
| Occupied Units Paying Rent | 41, 100% | 324,469 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.67% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 4.14% | 3.18% |
| $300 to $499 | 7, 17.07%, see rank | 16.06% | 7.37% |
| $500 to $699 | 34, 82.93%, see rank | 29.77% | 16.01% |
| $700 to $999 | 0, 0.00%, see rank | 31.63% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 12.90% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.30% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.53% | 6.10% |
| Median | $529, see rank | $689 | $920 |
ACS 2008-2012 data
| Monthly Rental | 50150 Zip Code | Iowa | U.S. |
| Occupied Units Paying Rent | 76, 100% | 312,187 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 2.25% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 4.51% | 3.29% |
| $300 to $499 | 8, 10.53%, see rank | 18.26% | 8.20% |
| $500 to $699 | 62, 81.58%, see rank | 31.70% | 17.39% |
| $700 to $999 | 6, 7.89%, see rank | 29.93% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 10.24% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.86% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.26% | 5.30% |
| Median | $528, see rank | $655 | $889 |
US Census 2000 data
| Monthly Rental | 50150 Zip Code | Iowa | U.S. |
| Occupied Units Paying Rent | 24, 100% | 282,815 | 33,386,326 |
| $199 or Less | 2, 8.33%, see rank | 7.67% | 5.52% |
| $200 to $299 | 0, 0.00%, see rank | 10.55% | 5.45% |
| $300 to $499 | 15, 62.50%, see rank | 38.18% | 23.18% |
| $500 to $699 | 7, 29.17%, see rank | 29.56% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 11.28% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 2.19% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.42% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.15% | 1.02% |
| Median | $430, 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.
