59446 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 59446 Zip Code | Montana | U.S. |
| Occupied Units Paying Rent | 28, 100% | 119,552 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 3.00% | 1.50% |
| $200 to $299 | 5, 17.86%, see rank | 4.42% | 3.18% |
| $300 to $499 | 14, 50.00%, see rank | 15.28% | 7.37% |
| $500 to $699 | 5, 17.86%, see rank | 27.84% | 16.01% |
| $700 to $999 | 4, 14.29%, see rank | 29.37% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 15.50% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.93% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.67% | 6.10% |
| Median | $388, see rank | $696 | $920 |
ACS 2008-2012 data
| Monthly Rental | 59446 Zip Code | Montana | U.S. |
| Occupied Units Paying Rent | 23, 100% | 114,735 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 3.33% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 4.67% | 3.29% |
| $300 to $499 | 20, 86.96%, see rank | 18.03% | 8.20% |
| $500 to $699 | 2, 8.70%, see rank | 28.47% | 17.39% |
| $700 to $999 | 1, 4.35%, see rank | 28.61% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 13.14% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.38% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.36% | 5.30% |
| Median | $390, see rank | $667 | $889 |
US Census 2000 data
| Monthly Rental | 59446 Zip Code | Montana | U.S. |
| Occupied Units Paying Rent | 25, 100% | 95,325 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 8.87% | 5.52% |
| $200 to $299 | 14, 56.00%, see rank | 11.75% | 5.45% |
| $300 to $499 | 11, 44.00%, see rank | 40.76% | 23.18% |
| $500 to $699 | 0, 0.00%, see rank | 26.24% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 9.76% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, 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 | $293, 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.
