15686 Zip Code Historical Gross Rent Price Data
ACS 2010-2014 data
| Monthly Rental | 15686 Zip Code | Pennsylvania | U.S. |
| Occupied Units Paying Rent | 41, 100% | 1,418,302 | 39,201,928 |
| $199 or Less | 0, 0.00%, see rank | 1.98% | 1.50% |
| $200 to $299 | 0, 0.00%, see rank | 4.36% | 3.18% |
| $300 to $499 | 0, 0.00%, see rank | 9.44% | 7.37% |
| $500 to $699 | 31, 75.61%, see rank | 19.30% | 16.01% |
| $700 to $999 | 10, 24.39%, see rank | 32.15% | 29.17% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 23.68% | 26.88% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 5.77% | 9.79% |
| $2,000 or More | 0, 0.00%, see rank | 3.33% | 6.10% |
| Median | $663, see rank | $832 | $920 |
ACS 2008-2012 data
| Monthly Rental | 15686 Zip Code | Pennsylvania | U.S. |
| Occupied Units Paying Rent | 53, 100% | 1,389,264 | 37,562,111 |
| $199 or Less | 0, 0.00%, see rank | 2.38% | 1.76% |
| $200 to $299 | 0, 0.00%, see rank | 4.39% | 3.29% |
| $300 to $499 | 23, 43.40%, see rank | 10.69% | 8.20% |
| $500 to $699 | 18, 33.96%, see rank | 21.57% | 17.39% |
| $700 to $999 | 12, 22.64%, see rank | 32.16% | 29.40% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 21.06% | 25.73% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 5.02% | 8.92% |
| $2,000 or More | 0, 0.00%, see rank | 2.74% | 5.30% |
| Median | $610, see rank | $794 | $889 |
US Census 2000 data
| Monthly Rental | 15686 Zip Code | Pennsylvania | U.S. |
| Occupied Units Paying Rent | 32, 100% | 1,270,837 | 33,386,326 |
| $199 or Less | 0, 0.00%, see rank | 6.72% | 5.52% |
| $200 to $299 | 11, 34.38%, see rank | 7.04% | 5.45% |
| $300 to $499 | 20, 62.50%, see rank | 30.62% | 23.18% |
| $500 to $699 | 1, 3.13%, see rank | 30.50% | 29.57% |
| $700 to $999 | 0, 0.00%, see rank | 18.43% | 24.06% |
| $1,000 to $1,499 | 0, 0.00%, see rank | 5.13% | 9.15% |
| $1,500 to $1,999 | 0, 0.00%, see rank | 1.01% | 2.05% |
| $2,000 or More | 0, 0.00%, see rank | 0.55% | 1.02% |
| Median | $357, 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.
