USA.com / Maine / Kennebec County / Belgrade Lakes, ME / 04918 / Income and Careers / Historical Household Income Data
04918 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank04918 Zip Code | 30,054 USD |
Maine | 48,804 USD |
U.S. | 53,482 USD |
04918 Zip Code | 44,545 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
04918 Zip Code | Maine | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 22.86% | $695, see rank | 24.75% | $13,950 | 21.11% | $16,919 |
Social Security Income | 52.57% | $13,922, see rank | 34.25% | $16,660 | 29.33% | $17,636 |
Public Assistance Income | -0.57% | $0, see rank | 4.65% | $2,991 | 2.82% | $3,720 |
Retirement Income | 20.00% | $6,543, 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 rank04918 Zip Code | 46,607 USD |
Maine | 48,219 USD |
U.S. | 53,046 USD |
04918 Zip Code | 55,604 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
04918 Zip Code | Maine | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 10.53% | $37,333, see rank | 25.60% | $13,129 | 22.39% | $16,134 |
Social Security Income | 45.03% | $15,240, 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 | 15.79% | $7,559, 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.