01803 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 01803 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 2,840, 100% | 924,809 | 39,201,928 |
$199 or Less | 0, 0.00%, see rank | 2.07% | 1.50% |
$200 to $299 | 85, 2.99%, see rank | 5.74% | 3.18% |
$300 to $499 | 86, 3.03%, see rank | 7.69% | 7.37% |
$500 to $699 | 83, 2.92%, see rank | 8.07% | 16.01% |
$700 to $999 | 52, 1.83%, see rank | 20.08% | 29.17% |
$1,000 to $1,499 | 869, 30.60%, see rank | 31.42% | 26.88% |
$1,500 to $1,999 | 813, 28.63%, see rank | 15.67% | 9.79% |
$2,000 or More | 852, 30.00%, see rank | 9.27% | 6.10% |
Median | $1,651, see rank | $1,088 | $920 |
ACS 2008-2012 data
Monthly Rental | 01803 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 2,547, 100% | 896,776 | 37,562,111 |
$199 or Less | 10, 0.39%, see rank | 2.18% | 1.76% |
$200 to $299 | 89, 3.49%, see rank | 6.13% | 3.29% |
$300 to $499 | 68, 2.67%, see rank | 7.71% | 8.20% |
$500 to $699 | 30, 1.18%, see rank | 8.70% | 17.39% |
$700 to $999 | 69, 2.71%, see rank | 21.22% | 29.40% |
$1,000 to $1,499 | 857, 33.65%, see rank | 31.45% | 25.73% |
$1,500 to $1,999 | 891, 34.98%, see rank | 14.86% | 8.92% |
$2,000 or More | 533, 20.93%, see rank | 7.75% | 5.30% |
Median | $1,584, see rank | $1,056 | $889 |
US Census 2000 data
Monthly Rental | 01803 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 1,623, 100% | 898,928 | 33,386,326 |
$199 or Less | 61, 3.76%, see rank | 7.33% | 5.52% |
$200 to $299 | 48, 2.96%, see rank | 6.18% | 5.45% |
$300 to $499 | 80, 4.93%, see rank | 14.64% | 23.18% |
$500 to $699 | 71, 4.37%, see rank | 23.88% | 29.57% |
$700 to $999 | 483, 29.76%, see rank | 28.48% | 24.06% |
$1,000 to $1,499 | 431, 26.56%, see rank | 14.46% | 9.15% |
$1,500 to $1,999 | 393, 24.21%, see rank | 3.59% | 2.05% |
$2,000 or More | 56, 3.45%, see rank | 1.44% | 1.02% |
Median | $1,061, see rank | $684 | $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.