USA.com / Florida / Palm Beach County / Boynton Beach, FL / 33473 / Income and Careers / Historical Household Income Data
33473 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank33473 Zip Code | 133,365 USD |
Florida | 47,212 USD |
U.S. | 53,482 USD |
33473 Zip Code | 161,916 USD |
Florida | 67,143 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
33473 Zip Code | Florida | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 35.91% | $41,667, see rank | 20.84% | $23,796 | 21.11% | $16,919 |
Social Security Income | 23.64% | $24,568, see rank | 35.58% | $18,153 | 29.33% | $17,636 |
Public Assistance Income | -0.05% | $0, see rank | 2.15% | $3,283 | 2.82% | $3,720 |
Retirement Income | 9.49% | $80,620, see rank | 19.31% | $25,455 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank33473 Zip Code | 115,884 USD |
Florida | 47,309 USD |
U.S. | 53,046 USD |
33473 Zip Code | 156,922 USD |
Florida | 66,599 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
33473 Zip Code | Florida | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 27.97% | $28,760, see rank | 22.05% | $22,859 | 22.39% | $16,134 |
Social Security Income | 14.23% | $23,198, see rank | 34.34% | $17,205 | 28.34% | $16,727 |
Public Assistance Income | -0.06% | $0, see rank | 1.88% | $3,486 | 2.72% | $3,807 |
Retirement Income | 3.57% | $70,647, see rank | 19.22% | $24,602 | 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.