55379 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 55379 Zip Code | Minnesota | U.S. |
Occupied Units Paying Rent | 3,028, 100% | 562,198 | 39,201,928 |
$199 or Less | 11, 0.36%, see rank | 2.46% | 1.50% |
$200 to $299 | 121, 4.00%, see rank | 4.66% | 3.18% |
$300 to $499 | 259, 8.55%, see rank | 9.32% | 7.37% |
$500 to $699 | 170, 5.61%, see rank | 17.06% | 16.01% |
$700 to $999 | 860, 28.40%, see rank | 33.30% | 29.17% |
$1,000 to $1,499 | 1,270, 41.94%, see rank | 23.49% | 26.88% |
$1,500 to $1,999 | 252, 8.32%, see rank | 7.02% | 9.79% |
$2,000 or More | 85, 2.81%, see rank | 2.69% | 6.10% |
Median | $1,037, see rank | $835 | $920 |
ACS 2008-2012 data
Monthly Rental | 55379 Zip Code | Minnesota | U.S. |
Occupied Units Paying Rent | 2,810, 100% | 540,440 | 37,562,111 |
$199 or Less | 19, 0.68%, see rank | 2.94% | 1.76% |
$200 to $299 | 63, 2.24%, see rank | 5.00% | 3.29% |
$300 to $499 | 264, 9.40%, see rank | 9.95% | 8.20% |
$500 to $699 | 210, 7.47%, see rank | 19.19% | 17.39% |
$700 to $999 | 1,030, 36.65%, see rank | 33.21% | 29.40% |
$1,000 to $1,499 | 908, 32.31%, see rank | 21.48% | 25.73% |
$1,500 to $1,999 | 180, 6.41%, see rank | 6.02% | 8.92% |
$2,000 or More | 136, 4.84%, see rank | 2.21% | 5.30% |
Median | $944, see rank | $802 | $889 |
US Census 2000 data
Monthly Rental | 55379 Zip Code | Minnesota | U.S. |
Occupied Units Paying Rent | 1,609, 100% | 454,011 | 33,386,326 |
$199 or Less | 60, 3.73%, see rank | 7.67% | 5.52% |
$200 to $299 | 49, 3.05%, see rank | 7.24% | 5.45% |
$300 to $499 | 198, 12.31%, see rank | 24.24% | 23.18% |
$500 to $699 | 497, 30.89%, see rank | 31.07% | 29.57% |
$700 to $999 | 649, 40.34%, see rank | 22.02% | 24.06% |
$1,000 to $1,499 | 140, 8.70%, see rank | 6.30% | 9.15% |
$1,500 to $1,999 | 5, 0.31%, see rank | 1.06% | 2.05% |
$2,000 or More | 11, 0.68%, see rank | 0.39% | 1.02% |
Median | $700, see rank | $566 | $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.