USA.com / Indiana / Cass County / Onward, IN / 46967 / Income and Careers / Historical Household Income Data
46967 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank46967 Zip Code | 21,458 USD |
Indiana | 48,737 USD |
U.S. | 53,482 USD |
46967 Zip Code | 28,206 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
46967 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 1.89% | $2,100, see rank | 19.01% | $12,352 | 21.11% | $16,919 |
Social Security Income | 18.87% | $13,780, see rank | 29.99% | $18,304 | 29.33% | $17,636 |
Public Assistance Income | -1.89% | $0, see rank | 2.21% | $3,210 | 2.82% | $3,720 |
Retirement Income | 13.21% | $19,471, 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 rank46967 Zip Code | 32,917 USD |
Indiana | 48,374 USD |
U.S. | 53,046 USD |
46967 Zip Code | 29,900 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
46967 Zip Code | Indiana | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 2.94% | $2,000, see rank | 20.69% | $11,770 | 22.39% | $16,134 |
Social Security Income | 23.53% | $22,375, see rank | 28.96% | $17,401 | 28.34% | $16,727 |
Public Assistance Income | -2.94% | $0, see rank | 2.45% | $3,117 | 2.72% | $3,807 |
Retirement Income | 2.94% | $6,600, 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.