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10075 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 10075 Zip Code | 104,583 USD |
| New York | 58,687 USD |
| U.S. | 53,482 USD |
| 10075 Zip Code | 200,745 USD |
| New York | 85,736 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
| 10075 Zip Code | New York | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 44.11% | $60,136, see rank | 21.49% | $18,752 | 21.11% | $16,919 |
| Social Security Income | 24.60% | $20,793, see rank | 29.15% | $17,900 | 29.33% | $17,636 |
| Public Assistance Income | 0.55% | $1,117, see rank | 3.41% | $4,110 | 2.82% | $3,720 |
| Retirement Income | 12.92% | $59,708, see rank | 17.56% | $25,809 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 10075 Zip Code | 100,206 USD |
| New York | 57,683 USD |
| U.S. | 53,046 USD |
| 10075 Zip Code | 187,981 USD |
| New York | 83,578 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
| 10075 Zip Code | New York | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 43.25% | $60,405, see rank | 22.86% | $17,825 | 22.39% | $16,134 |
| Social Security Income | 24.34% | $20,025, see rank | 28.44% | $17,084 | 28.34% | $16,727 |
| Public Assistance Income | 0.49% | $2,821, see rank | 3.26% | $4,065 | 2.72% | $3,807 |
| Retirement Income | 13.55% | $50,127, see rank | 17.51% | $24,625 | 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.