17821 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 17821 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 1,784, 100% | 1,418,302 | 39,201,928 |
$199 or Less | 63, 3.53%, see rank | 1.98% | 1.50% |
$200 to $299 | 148, 8.30%, see rank | 4.36% | 3.18% |
$300 to $499 | 204, 11.43%, see rank | 9.44% | 7.37% |
$500 to $699 | 409, 22.93%, see rank | 19.30% | 16.01% |
$700 to $999 | 671, 37.61%, see rank | 32.15% | 29.17% |
$1,000 to $1,499 | 246, 13.79%, see rank | 23.68% | 26.88% |
$1,500 to $1,999 | 43, 2.41%, see rank | 5.77% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 3.33% | 6.10% |
Median | $725, see rank | $832 | $920 |
ACS 2008-2012 data
Monthly Rental | 17821 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 1,628, 100% | 1,389,264 | 37,562,111 |
$199 or Less | 35, 2.15%, see rank | 2.38% | 1.76% |
$200 to $299 | 76, 4.67%, see rank | 4.39% | 3.29% |
$300 to $499 | 290, 17.81%, see rank | 10.69% | 8.20% |
$500 to $699 | 498, 30.59%, see rank | 21.57% | 17.39% |
$700 to $999 | 506, 31.08%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 202, 12.41%, see rank | 21.06% | 25.73% |
$1,500 to $1,999 | 21, 1.29%, see rank | 5.02% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 2.74% | 5.30% |
Median | $677, see rank | $794 | $889 |
US Census 2000 data
Monthly Rental | 17821 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 1,710, 100% | 1,270,837 | 33,386,326 |
$199 or Less | 178, 10.41%, see rank | 6.72% | 5.52% |
$200 to $299 | 129, 7.54%, see rank | 7.04% | 5.45% |
$300 to $499 | 742, 43.39%, see rank | 30.62% | 23.18% |
$500 to $699 | 438, 25.61%, see rank | 30.50% | 29.57% |
$700 to $999 | 196, 11.46%, see rank | 18.43% | 24.06% |
$1,000 to $1,499 | 6, 0.35%, see rank | 5.13% | 9.15% |
$1,500 to $1,999 | 21, 1.23%, see rank | 1.01% | 2.05% |
$2,000 or More | 0, 0.00%, see rank | 0.55% | 1.02% |
Median | $462, see rank | $531 | $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.