59405 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 59405 Zip Code | Montana | U.S. |
Occupied Units Paying Rent | 5,648, 100% | 119,552 | 39,201,928 |
$199 or Less | 309, 5.47%, see rank | 3.00% | 1.50% |
$200 to $299 | 328, 5.81%, see rank | 4.42% | 3.18% |
$300 to $499 | 829, 14.68%, see rank | 15.28% | 7.37% |
$500 to $699 | 1,922, 34.03%, see rank | 27.84% | 16.01% |
$700 to $999 | 1,359, 24.06%, see rank | 29.37% | 29.17% |
$1,000 to $1,499 | 700, 12.39%, see rank | 15.50% | 26.88% |
$1,500 to $1,999 | 101, 1.79%, see rank | 2.93% | 9.79% |
$2,000 or More | 100, 1.77%, see rank | 1.67% | 6.10% |
Median | $638, see rank | $696 | $920 |
ACS 2008-2012 data
Monthly Rental | 59405 Zip Code | Montana | U.S. |
Occupied Units Paying Rent | 4,800, 100% | 114,735 | 37,562,111 |
$199 or Less | 255, 5.31%, see rank | 3.33% | 1.76% |
$200 to $299 | 275, 5.73%, see rank | 4.67% | 3.29% |
$300 to $499 | 1,092, 22.75%, see rank | 18.03% | 8.20% |
$500 to $699 | 1,429, 29.77%, see rank | 28.47% | 17.39% |
$700 to $999 | 1,176, 24.50%, see rank | 28.61% | 29.40% |
$1,000 to $1,499 | 405, 8.44%, see rank | 13.14% | 25.73% |
$1,500 to $1,999 | 74, 1.54%, see rank | 2.38% | 8.92% |
$2,000 or More | 94, 1.96%, see rank | 1.36% | 5.30% |
Median | $596, see rank | $667 | $889 |
US Census 2000 data
Monthly Rental | 59405 Zip Code | Montana | U.S. |
Occupied Units Paying Rent | 4,564, 100% | 95,325 | 33,386,326 |
$199 or Less | 622, 13.63%, see rank | 8.87% | 5.52% |
$200 to $299 | 505, 11.06%, see rank | 11.75% | 5.45% |
$300 to $499 | 2,113, 46.30%, see rank | 40.76% | 23.18% |
$500 to $699 | 1,030, 22.57%, see rank | 26.24% | 29.57% |
$700 to $999 | 263, 5.76%, see rank | 9.76% | 24.06% |
$1,000 to $1,499 | 31, 0.68%, see rank | 1.94% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 0.44% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.23% | 1.02% |
Median | $415, see rank | $447 | $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.