83274 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 83274 Zip Code | Idaho | U.S. |
| Occupied Units Paying Rent | 573, 100% | 166,975 | 39,201,928 |
| $199 or Less | 33, 5.76%, see rank | 1.30% | 1.50% |
| $200 to $299 | 111, 19.37%, see rank | 3.77% | 3.18% |
| $300 to $499 | 81, 14.14%, see rank | 12.23% | 7.37% |
| $500 to $699 | 94, 16.40%, see rank | 26.82% | 16.01% |
| $700 to $999 | 179, 31.24%, see rank | 32.95% | 29.17% |
| $1,000 to $1,499 | 75, 13.09%, see rank | 18.68% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.62% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 1.62% | 6.10% |
| Median | $637, see rank | $738 | $920 |
ACS 2008-2012 data
| Monthly Rental | 83274 Zip Code | Idaho | U.S. |
| Occupied Units Paying Rent | 626, 100% | 160,114 | 37,562,111 |
| $199 or Less | 44, 7.03%, see rank | 1.52% | 1.76% |
| $200 to $299 | 88, 14.06%, see rank | 4.04% | 3.29% |
| $300 to $499 | 143, 22.84%, see rank | 13.07% | 8.20% |
| $500 to $699 | 83, 13.26%, see rank | 28.47% | 17.39% |
| $700 to $999 | 261, 41.69%, see rank | 31.78% | 29.40% |
| $1,000 to $1,499 | 7, 1.12%, see rank | 17.81% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 2.23% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 1.08% | 5.30% |
| Median | $618, see rank | $720 | $889 |
US Census 2000 data
| Monthly Rental | 83274 Zip Code | Idaho | U.S. |
| Occupied Units Paying Rent | 320, 100% | 115,559 | 33,386,326 |
| $199 or Less | 42, 13.13%, see rank | 5.93% | 5.52% |
| $200 to $299 | 41, 12.81%, see rank | 7.95% | 5.45% |
| $300 to $499 | 169, 52.81%, see rank | 33.18% | 23.18% |
| $500 to $699 | 60, 18.75%, see rank | 33.01% | 29.57% |
| $700 to $999 | 8, 2.50%, see rank | 15.91% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 2.89% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 0.75% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.38% | 1.02% |
| Median | $408, see rank | $515 | $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.
