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17263 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 17263 Zip Code | 65,793 USD |
| Pennsylvania | 53,115 USD |
| U.S. | 53,482 USD |
| 17263 Zip Code | 63,889 USD |
| Pennsylvania | 72,210 USD |
| U.S. | 74,596 USD |
Ranks: $10k or less, $10k-$20k, $20k-$30k, $30k-$40k, $40k-$50k, $50k-$75k, $75k-$100k, $100k-$150k, $150k-$200k, $200k or more
Household Income Other than Earnings
| 17263 Zip Code | Pennsylvania | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 18.75% | $98, see rank | 24.07% | $12,571 | 21.11% | $16,919 |
| Social Security Income | 46.88% | $20,900, see rank | 33.19% | $18,052 | 29.33% | $17,636 |
| Public Assistance Income | -0.39% | $0, see rank | 3.55% | $2,919 | 2.82% | $3,720 |
| Retirement Income | 18.75% | $6,156, see rank | 20.15% | $20,313 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 17263 Zip Code | 63,958 USD |
| Pennsylvania | 52,267 USD |
| U.S. | 53,046 USD |
| 17263 Zip Code | 82,611 USD |
| Pennsylvania | 70,243 USD |
| U.S. | 73,034 USD |
Ranks: $10k or less, $10k-$20k, $20k-$30k, $30k-$40k, $40k-$50k, $50k-$75k, $75k-$100k, $100k-$150k, $150k-$200k, $200k or more
Household Income Other than Earnings
| 17263 Zip Code | Pennsylvania | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 32.86% | $41,708, see rank | 25.84% | $12,048 | 22.39% | $16,134 |
| Social Security Income | 35.71% | $23,421, see rank | 32.20% | $17,147 | 28.34% | $16,727 |
| Public Assistance Income | -0.36% | $0, see rank | 3.51% | $2,981 | 2.72% | $3,807 |
| Retirement Income | 20.71% | $12,978, see rank | 20.03% | $19,482 | 17.61% | $23,126 |
+ The percentage of the total households that have the income.
* 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.