USA.com / Indiana / Hamilton County / Noblesville, IN / 46062 / Income and Careers / Historical Household Income Data
46062 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank46062 Zip Code | 78,639 USD |
Indiana | 48,737 USD |
U.S. | 53,482 USD |
46062 Zip Code | 97,096 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
46062 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 23.00% | $13,732, see rank | 19.01% | $12,352 | 21.11% | $16,919 |
Social Security Income | 23.99% | $19,613, see rank | 29.99% | $18,304 | 29.33% | $17,636 |
Public Assistance Income | 0.44% | $6,804, see rank | 2.21% | $3,210 | 2.82% | $3,720 |
Retirement Income | 13.30% | $23,798, 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 rank46062 Zip Code | 77,064 USD |
Indiana | 48,374 USD |
U.S. | 53,046 USD |
46062 Zip Code | 92,562 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
46062 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 27.98% | $13,654, see rank | 20.69% | $11,770 | 22.39% | $16,134 |
Social Security Income | 23.39% | $19,719, see rank | 28.96% | $17,401 | 28.34% | $16,727 |
Public Assistance Income | 1.31% | $3,080, see rank | 2.45% | $3,117 | 2.72% | $3,807 |
Retirement Income | 16.75% | $24,372, 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.