58103 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 58103 Zip Code | North Dakota | U.S. |
Occupied Units Paying Rent | 14,564, 100% | 93,878 | 39,201,928 |
$199 or Less | 229, 1.57%, see rank | 2.85% | 1.50% |
$200 to $299 | 337, 2.31%, see rank | 4.30% | 3.18% |
$300 to $499 | 1,280, 8.79%, see rank | 15.75% | 7.37% |
$500 to $699 | 6,156, 42.27%, see rank | 30.88% | 16.01% |
$700 to $999 | 4,836, 33.21%, see rank | 28.91% | 29.17% |
$1,000 to $1,499 | 1,507, 10.35%, see rank | 12.39% | 26.88% |
$1,500 to $1,999 | 160, 1.10%, see rank | 2.94% | 9.79% |
$2,000 or More | 59, 0.41%, see rank | 1.99% | 6.10% |
Median | $674, see rank | $676 | $920 |
ACS 2008-2012 data
Monthly Rental | 58103 Zip Code | North Dakota | U.S. |
Occupied Units Paying Rent | 13,670, 100% | 87,083 | 37,562,111 |
$199 or Less | 138, 1.01%, see rank | 3.38% | 1.76% |
$200 to $299 | 313, 2.29%, see rank | 4.75% | 3.29% |
$300 to $499 | 1,619, 11.84%, see rank | 22.06% | 8.20% |
$500 to $699 | 6,514, 47.65%, see rank | 34.30% | 17.39% |
$700 to $999 | 3,737, 27.34%, see rank | 24.17% | 29.40% |
$1,000 to $1,499 | 1,204, 8.81%, see rank | 8.37% | 25.73% |
$1,500 to $1,999 | 129, 0.94%, see rank | 1.67% | 8.92% |
$2,000 or More | 16, 0.12%, see rank | 1.30% | 5.30% |
Median | $638, see rank | $610 | $889 |
US Census 2000 data
Monthly Rental | 58103 Zip Code | North Dakota | U.S. |
Occupied Units Paying Rent | 12,317, 100% | 75,685 | 33,386,326 |
$199 or Less | 511, 4.15%, see rank | 10.65% | 5.52% |
$200 to $299 | 744, 6.04%, see rank | 14.54% | 5.45% |
$300 to $499 | 5,400, 43.84%, see rank | 44.70% | 23.18% |
$500 to $699 | 4,087, 33.18%, see rank | 21.70% | 29.57% |
$700 to $999 | 1,362, 11.06%, see rank | 6.59% | 24.06% |
$1,000 to $1,499 | 213, 1.73%, see rank | 1.29% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.37% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.16% | 1.02% |
Median | $488, see rank | $412 | $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.