16505 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 16505 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 2,159, 100% | 1,418,302 | 39,201,928 |
$199 or Less | 52, 2.41%, see rank | 1.98% | 1.50% |
$200 to $299 | 70, 3.24%, see rank | 4.36% | 3.18% |
$300 to $499 | 210, 9.73%, see rank | 9.44% | 7.37% |
$500 to $699 | 560, 25.94%, see rank | 19.30% | 16.01% |
$700 to $999 | 873, 40.44%, see rank | 32.15% | 29.17% |
$1,000 to $1,499 | 167, 7.74%, see rank | 23.68% | 26.88% |
$1,500 to $1,999 | 126, 5.84%, see rank | 5.77% | 9.79% |
$2,000 or More | 101, 4.68%, see rank | 3.33% | 6.10% |
Median | $741, see rank | $832 | $920 |
ACS 2008-2012 data
Monthly Rental | 16505 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 2,088, 100% | 1,389,264 | 37,562,111 |
$199 or Less | 10, 0.48%, see rank | 2.38% | 1.76% |
$200 to $299 | 41, 1.96%, see rank | 4.39% | 3.29% |
$300 to $499 | 373, 17.86%, see rank | 10.69% | 8.20% |
$500 to $699 | 486, 23.28%, see rank | 21.57% | 17.39% |
$700 to $999 | 698, 33.43%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 316, 15.13%, see rank | 21.06% | 25.73% |
$1,500 to $1,999 | 99, 4.74%, see rank | 5.02% | 8.92% |
$2,000 or More | 65, 3.11%, see rank | 2.74% | 5.30% |
Median | $746, see rank | $794 | $889 |
US Census 2000 data
Monthly Rental | 16505 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 1,848, 100% | 1,270,837 | 33,386,326 |
$199 or Less | 102, 5.52%, see rank | 6.72% | 5.52% |
$200 to $299 | 233, 12.61%, see rank | 7.04% | 5.45% |
$300 to $499 | 659, 35.66%, see rank | 30.62% | 23.18% |
$500 to $699 | 455, 24.62%, see rank | 30.50% | 29.57% |
$700 to $999 | 197, 10.66%, see rank | 18.43% | 24.06% |
$1,000 to $1,499 | 94, 5.09%, see rank | 5.13% | 9.15% |
$1,500 to $1,999 | 50, 2.71%, see rank | 1.01% | 2.05% |
$2,000 or More | 58, 3.14%, see rank | 0.55% | 1.02% |
Median | $479, 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.