04101 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 04101 Zip Code | Maine | U.S. |
Occupied Units Paying Rent | 7,053, 100% | 146,634 | 39,201,928 |
$199 or Less | 216, 3.06%, see rank | 2.51% | 1.50% |
$200 to $299 | 606, 8.59%, see rank | 6.43% | 3.18% |
$300 to $499 | 520, 7.37%, see rank | 10.29% | 7.37% |
$500 to $699 | 577, 8.18%, see rank | 20.96% | 16.01% |
$700 to $999 | 2,572, 36.47%, see rank | 33.88% | 29.17% |
$1,000 to $1,499 | 1,997, 28.31%, see rank | 20.14% | 26.88% |
$1,500 to $1,999 | 436, 6.18%, see rank | 4.04% | 9.79% |
$2,000 or More | 129, 1.83%, see rank | 1.73% | 6.10% |
Median | $898, see rank | $772 | $920 |
ACS 2008-2012 data
Monthly Rental | 04101 Zip Code | Maine | U.S. |
Occupied Units Paying Rent | 7,192, 100% | 142,975 | 37,562,111 |
$199 or Less | 314, 4.37%, see rank | 3.03% | 1.76% |
$200 to $299 | 640, 8.90%, see rank | 6.74% | 3.29% |
$300 to $499 | 506, 7.04%, see rank | 10.92% | 8.20% |
$500 to $699 | 747, 10.39%, see rank | 22.18% | 17.39% |
$700 to $999 | 2,830, 39.35%, see rank | 33.37% | 29.40% |
$1,000 to $1,499 | 1,755, 24.40%, see rank | 19.04% | 25.73% |
$1,500 to $1,999 | 249, 3.46%, see rank | 3.41% | 8.92% |
$2,000 or More | 151, 2.10%, see rank | 1.30% | 5.30% |
Median | $850, see rank | $750 | $889 |
US Census 2000 data
Monthly Rental | 04101 Zip Code | Maine | U.S. |
Occupied Units Paying Rent | 7,551, 100% | 133,344 | 33,386,326 |
$199 or Less | 759, 10.05%, see rank | 9.60% | 5.52% |
$200 to $299 | 435, 5.76%, see rank | 7.88% | 5.45% |
$300 to $499 | 1,642, 21.75%, see rank | 33.04% | 23.18% |
$500 to $699 | 3,104, 41.11%, see rank | 30.64% | 29.57% |
$700 to $999 | 1,350, 17.88%, see rank | 15.26% | 24.06% |
$1,000 to $1,499 | 163, 2.16%, see rank | 2.82% | 9.15% |
$1,500 to $1,999 | 43, 0.57%, see rank | 0.42% | 2.05% |
$2,000 or More | 55, 0.73%, see rank | 0.33% | 1.02% |
Median | $558, see rank | $497 | $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.