17055 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | 17055 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 4,257, 100% | 1,418,302 | 39,201,928 |
$199 or Less | 86, 2.02%, see rank | 1.98% | 1.50% |
$200 to $299 | 68, 1.60%, see rank | 4.36% | 3.18% |
$300 to $499 | 251, 5.90%, see rank | 9.44% | 7.37% |
$500 to $699 | 780, 18.32%, see rank | 19.30% | 16.01% |
$700 to $999 | 1,371, 32.21%, see rank | 32.15% | 29.17% |
$1,000 to $1,499 | 1,377, 32.35%, see rank | 23.68% | 26.88% |
$1,500 to $1,999 | 143, 3.36%, see rank | 5.77% | 9.79% |
$2,000 or More | 181, 4.25%, see rank | 3.33% | 6.10% |
Median | $934, see rank | $832 | $920 |
ACS 2008-2012 data
Monthly Rental | 17055 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 4,021, 100% | 1,389,264 | 37,562,111 |
$199 or Less | 52, 1.29%, see rank | 2.38% | 1.76% |
$200 to $299 | 73, 1.82%, see rank | 4.39% | 3.29% |
$300 to $499 | 249, 6.19%, see rank | 10.69% | 8.20% |
$500 to $699 | 835, 20.77%, see rank | 21.57% | 17.39% |
$700 to $999 | 1,549, 38.52%, see rank | 32.16% | 29.40% |
$1,000 to $1,499 | 948, 23.58%, see rank | 21.06% | 25.73% |
$1,500 to $1,999 | 103, 2.56%, see rank | 5.02% | 8.92% |
$2,000 or More | 212, 5.27%, see rank | 2.74% | 5.30% |
Median | $888, see rank | $794 | $889 |
US Census 2000 data
Monthly Rental | 17055 Zip Code | Pennsylvania | U.S. |
Occupied Units Paying Rent | 5,039, 100% | 1,270,837 | 33,386,326 |
$199 or Less | 117, 2.32%, see rank | 6.72% | 5.52% |
$200 to $299 | 239, 4.74%, see rank | 7.04% | 5.45% |
$300 to $499 | 833, 16.53%, see rank | 30.62% | 23.18% |
$500 to $699 | 1,991, 39.51%, see rank | 30.50% | 29.57% |
$700 to $999 | 1,598, 31.71%, see rank | 18.43% | 24.06% |
$1,000 to $1,499 | 126, 2.50%, see rank | 5.13% | 9.15% |
$1,500 to $1,999 | 63, 1.25%, see rank | 1.01% | 2.05% |
$2,000 or More | 72, 1.43%, see rank | 0.55% | 1.02% |
Median | $636, 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.