05031 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 05031 Zip Code | Vermont | U.S. |
| Occupied Units Paying Rent | 14, 100% | 70,015 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.29% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 5.22% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 6.87% | 7.37% |
| $500 to $699 | 0, 0.00%, see rank | 14.21% | 16.01% |
| $700 to $999 | 9, 64.29%, see rank | 34.65% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 26.79% | 26.88% |
| $1,500 to $1,999 | 5, 35.71%, see rank | 8.04% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 2.93% | 6.10% |
| Median | $0, see rank | $889 | $920 |
ACS 2008-2012 data
| Monthly Rental | 05031 Zip Code | Vermont | U.S. |
| Occupied Units Paying Rent | 13, 100% | 68,902 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 1.40% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 5.46% | 3.29% |
| $300 to $499 | 0, 0.00%, see rank | 7.93% | 8.20% |
| $500 to $699 | 0, 0.00%, see rank | 16.09% | 17.39% |
| $700 to $999 | 9, 69.23%, see rank | 33.72% | 29.40% |
| $1,000 to $1,499 | 4, 30.77%, see rank | 25.82% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 6.96% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 2.62% | 5.30% |
| Median | $736, see rank | $864 | $889 |
US Census 2000 data
| Monthly Rental | 05031 Zip Code | Vermont | U.S. |
| Occupied Units Paying Rent | 6, 100% | 63,335 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 5.94% | 5.52% |
| $200 to $299 | 0, 0.00%, see rank | 6.32% | 5.45% |
| $300 to $499 | 0, 0.00%, see rank | 26.71% | 23.18% |
| $500 to $699 | 4, 66.67%, see rank | 34.63% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 20.66% | 24.06% |
| $1,000 to $1,499 | 2, 33.33%, see rank | 4.64% | 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 | 0.35% | 1.02% |
| Median | $675, see rank | $553 | $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.
