01030 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 01030 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 786, 100% | 924,809 | 39,201,928 |
$199 or Less | 11, 1.40%, see rank | 2.07% | 1.50% |
$200 to $299 | 66, 8.40%, see rank | 5.74% | 3.18% |
$300 to $499 | 127, 16.16%, see rank | 7.69% | 7.37% |
$500 to $699 | 46, 5.85%, see rank | 8.07% | 16.01% |
$700 to $999 | 291, 37.02%, see rank | 20.08% | 29.17% |
$1,000 to $1,499 | 135, 17.18%, see rank | 31.42% | 26.88% |
$1,500 to $1,999 | 99, 12.60%, see rank | 15.67% | 9.79% |
$2,000 or More | 11, 1.40%, see rank | 9.27% | 6.10% |
Median | $839, see rank | $1,088 | $920 |
ACS 2008-2012 data
Monthly Rental | 01030 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 744, 100% | 896,776 | 37,562,111 |
$199 or Less | 24, 3.23%, see rank | 2.18% | 1.76% |
$200 to $299 | 82, 11.02%, see rank | 6.13% | 3.29% |
$300 to $499 | 83, 11.16%, see rank | 7.71% | 8.20% |
$500 to $699 | 88, 11.83%, see rank | 8.70% | 17.39% |
$700 to $999 | 174, 23.39%, see rank | 21.22% | 29.40% |
$1,000 to $1,499 | 243, 32.66%, see rank | 31.45% | 25.73% |
$1,500 to $1,999 | 50, 6.72%, see rank | 14.86% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 7.75% | 5.30% |
Median | $820, see rank | $1,056 | $889 |
US Census 2000 data
Monthly Rental | 01030 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 929, 100% | 898,928 | 33,386,326 |
$199 or Less | 114, 12.27%, see rank | 7.33% | 5.52% |
$200 to $299 | 54, 5.81%, see rank | 6.18% | 5.45% |
$300 to $499 | 213, 22.93%, see rank | 14.64% | 23.18% |
$500 to $699 | 241, 25.94%, see rank | 23.88% | 29.57% |
$700 to $999 | 275, 29.60%, see rank | 28.48% | 24.06% |
$1,000 to $1,499 | 32, 3.44%, see rank | 14.46% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.59% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 1.44% | 1.02% |
Median | $596, 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.