01267 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 01267 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 567, 100% | 924,809 | 39,201,928 |
$199 or Less | 4, 0.71%, see rank | 2.07% | 1.50% |
$200 to $299 | 49, 8.64%, see rank | 5.74% | 3.18% |
$300 to $499 | 19, 3.35%, see rank | 7.69% | 7.37% |
$500 to $699 | 136, 23.99%, see rank | 8.07% | 16.01% |
$700 to $999 | 100, 17.64%, see rank | 20.08% | 29.17% |
$1,000 to $1,499 | 169, 29.81%, see rank | 31.42% | 26.88% |
$1,500 to $1,999 | 61, 10.76%, see rank | 15.67% | 9.79% |
$2,000 or More | 29, 5.11%, see rank | 9.27% | 6.10% |
Median | $855, see rank | $1,088 | $920 |
ACS 2008-2012 data
Monthly Rental | 01267 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 555, 100% | 896,776 | 37,562,111 |
$199 or Less | 0, 0.00%, see rank | 2.18% | 1.76% |
$200 to $299 | 62, 11.17%, see rank | 6.13% | 3.29% |
$300 to $499 | 23, 4.14%, see rank | 7.71% | 8.20% |
$500 to $699 | 125, 22.52%, see rank | 8.70% | 17.39% |
$700 to $999 | 141, 25.41%, see rank | 21.22% | 29.40% |
$1,000 to $1,499 | 97, 17.48%, see rank | 31.45% | 25.73% |
$1,500 to $1,999 | 67, 12.07%, see rank | 14.86% | 8.92% |
$2,000 or More | 40, 7.21%, see rank | 7.75% | 5.30% |
Median | $866, see rank | $1,056 | $889 |
US Census 2000 data
Monthly Rental | 01267 Zip Code | Massachusetts | U.S. |
Occupied Units Paying Rent | 655, 100% | 898,928 | 33,386,326 |
$199 or Less | 75, 11.45%, see rank | 7.33% | 5.52% |
$200 to $299 | 70, 10.69%, see rank | 6.18% | 5.45% |
$300 to $499 | 126, 19.24%, see rank | 14.64% | 23.18% |
$500 to $699 | 210, 32.06%, see rank | 23.88% | 29.57% |
$700 to $999 | 117, 17.86%, see rank | 28.48% | 24.06% |
$1,000 to $1,499 | 45, 6.87%, see rank | 14.46% | 9.15% |
$1,500 to $1,999 | 0, 0.00%, see rank | 3.59% | 2.05% |
$2,000 or More | 12, 1.83%, see rank | 1.44% | 1.02% |
Median | $534, 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.