84723 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 84723 Zip Code | Utah | U.S. |
| Occupied Units Paying Rent | 26, 100% | 258,008 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.14% | 1.50% |
| $200 to $299 | 2, 7.69%, see rank | 2.08% | 3.18% |
| $300 to $499 | 8, 30.77%, see rank | 6.63% | 7.37% |
| $500 to $699 | 10, 38.46%, see rank | 17.63% | 16.01% |
| $700 to $999 | 6, 23.08%, see rank | 36.28% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 26.58% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 7.30% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 2.34% | 6.10% |
| Median | $550, see rank | $875 | $920 |
ACS 2008-2012 data
| Monthly Rental | 84723 Zip Code | Utah | U.S. |
| Occupied Units Paying Rent | 29, 100% | 247,523 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.48% | 1.76% |
| $200 to $299 | 5, 17.24%, see rank | 2.15% | 3.29% |
| $300 to $499 | 8, 27.59%, see rank | 7.44% | 8.20% |
| $500 to $699 | 13, 44.83%, see rank | 20.08% | 17.39% |
| $700 to $999 | 3, 10.34%, see rank | 36.63% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 24.14% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 5.94% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 2.14% | 5.30% |
| Median | $519, see rank | $839 | $889 |
US Census 2000 data
| Monthly Rental | 84723 Zip Code | Utah | U.S. |
| Occupied Units Paying Rent | 8, 100% | 188,198 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 3.44% | 5.52% |
| $200 to $299 | 2, 25.00%, see rank | 4.70% | 5.45% |
| $300 to $499 | 4, 50.00%, see rank | 22.20% | 23.18% |
| $500 to $699 | 2, 25.00%, see rank | 37.93% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 22.71% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 7.57% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.12% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.32% | 1.02% |
| Median | $325, see rank | $597 | $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.
