83705 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 83705 Zip Code | Idaho | U.S. |
Occupied Units Paying Rent | 5,824, 100% | 166,975 | 39,201,928 |
$199 or Less | 24, 0.41%, see rank | 1.30% | 1.50% |
$200 to $299 | 149, 2.56%, see rank | 3.77% | 3.18% |
$300 to $499 | 476, 8.17%, see rank | 12.23% | 7.37% |
$500 to $699 | 1,754, 30.12%, see rank | 26.82% | 16.01% |
$700 to $999 | 2,352, 40.38%, see rank | 32.95% | 29.17% |
$1,000 to $1,499 | 847, 14.54%, see rank | 18.68% | 26.88% |
$1,500 to $1,999 | 81, 1.39%, see rank | 2.62% | 9.79% |
$2,000 or More | 141, 2.42%, see rank | 1.62% | 6.10% |
Median | $743, see rank | $738 | $920 |
ACS 2008-2012 data
Monthly Rental | 83705 Zip Code | Idaho | U.S. |
Occupied Units Paying Rent | 5,606, 100% | 160,114 | 37,562,111 |
$199 or Less | 63, 1.12%, see rank | 1.52% | 1.76% |
$200 to $299 | 121, 2.16%, see rank | 4.04% | 3.29% |
$300 to $499 | 610, 10.88%, see rank | 13.07% | 8.20% |
$500 to $699 | 1,788, 31.89%, see rank | 28.47% | 17.39% |
$700 to $999 | 2,121, 37.83%, see rank | 31.78% | 29.40% |
$1,000 to $1,499 | 764, 13.63%, see rank | 17.81% | 25.73% |
$1,500 to $1,999 | 60, 1.07%, see rank | 2.23% | 8.92% |
$2,000 or More | 79, 1.41%, see rank | 1.08% | 5.30% |
Median | $719, see rank | $720 | $889 |
US Census 2000 data
Monthly Rental | 83705 Zip Code | Idaho | U.S. |
Occupied Units Paying Rent | 4,952, 100% | 115,559 | 33,386,326 |
$199 or Less | 162, 3.27%, see rank | 5.93% | 5.52% |
$200 to $299 | 109, 2.20%, see rank | 7.95% | 5.45% |
$300 to $499 | 887, 17.91%, see rank | 33.18% | 23.18% |
$500 to $699 | 2,537, 51.23%, see rank | 33.01% | 29.57% |
$700 to $999 | 958, 19.35%, see rank | 15.91% | 24.06% |
$1,000 to $1,499 | 165, 3.33%, see rank | 2.89% | 9.15% |
$1,500 to $1,999 | 72, 1.45%, see rank | 0.75% | 2.05% |
$2,000 or More | 62, 1.25%, see rank | 0.38% | 1.02% |
Median | $592, 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.