USA.com / Maine / Knox County / Port Clyde, ME / 04855 / Income and Careers / Historical Household Income Data
04855 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank04855 Zip Code | 51,354 USD |
Maine | 48,804 USD |
U.S. | 53,482 USD |
04855 Zip Code | 48,074 USD |
Maine | 64,327 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
04855 Zip Code | Maine | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 28.30% | $19,122, see rank | 24.75% | $13,950 | 21.11% | $16,919 |
Social Security Income | 54.09% | $19,469, see rank | 34.25% | $16,660 | 29.33% | $17,636 |
Public Assistance Income | -0.63% | $0, see rank | 4.65% | $2,991 | 2.82% | $3,720 |
Retirement Income | 39.62% | $24,675, see rank | 19.24% | $21,273 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank04855 Zip Code | 50,000 USD |
Maine | 48,219 USD |
U.S. | 53,046 USD |
04855 Zip Code | 44,347 USD |
Maine | 62,392 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
04855 Zip Code | Maine | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 33.14% | $14,932, see rank | 25.60% | $13,129 | 22.39% | $16,134 |
Social Security Income | 57.56% | $18,847, see rank | 32.86% | $15,842 | 28.34% | $16,727 |
Public Assistance Income | -0.58% | $0, see rank | 4.93% | $3,064 | 2.72% | $3,807 |
Retirement Income | 38.95% | $13,737, see rank | 18.88% | $19,974 | 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.