USA.com / Indiana / Wayne County / Dublin, IN / 47335 / Income and Careers / Historical Household Income Data
47335 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank47335 Zip Code | 30,125 USD |
Indiana | 48,737 USD |
U.S. | 53,482 USD |
47335 Zip Code | 41,152 USD |
Indiana | 63,736 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
47335 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 6.57% | $1,668, see rank | 19.01% | $12,352 | 21.11% | $16,919 |
Social Security Income | 38.06% | $17,941, see rank | 29.99% | $18,304 | 29.33% | $17,636 |
Public Assistance Income | -0.35% | $0, see rank | 2.21% | $3,210 | 2.82% | $3,720 |
Retirement Income | 13.84% | $11,580, see rank | 18.63% | $17,699 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank47335 Zip Code | 30,200 USD |
Indiana | 48,374 USD |
U.S. | 53,046 USD |
47335 Zip Code | 40,747 USD |
Indiana | 62,715 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
47335 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 5.11% | $657, see rank | 20.69% | $11,770 | 22.39% | $16,134 |
Social Security Income | 30.29% | $17,896, see rank | 28.96% | $17,401 | 28.34% | $16,727 |
Public Assistance Income | -0.36% | $0, see rank | 2.45% | $3,117 | 2.72% | $3,807 |
Retirement Income | 17.88% | $10,473, see rank | 18.52% | $17,252 | 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.