USA.com / Ohio / Putnam County / Miller City, OH / 45864 / Income and Careers / Historical Household Income Data
45864 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank45864 Zip Code | 40,000 USD |
Ohio | 48,849 USD |
U.S. | 53,482 USD |
45864 Zip Code | 53,351 USD |
Ohio | 65,491 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
45864 Zip Code | Ohio | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 20.59% | $4,929, see rank | 20.41% | $12,326 | 21.11% | $16,919 |
Social Security Income | 35.29% | $13,692, see rank | 30.33% | $17,126 | 29.33% | $17,636 |
Public Assistance Income | 4.41% | $2,867, see rank | 3.33% | $3,240 | 2.82% | $3,720 |
Retirement Income | 25.00% | $19,288, see rank | 20.91% | $22,104 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank45864 Zip Code | 66,250 USD |
Ohio | 48,246 USD |
U.S. | 53,046 USD |
45864 Zip Code | 60,726 USD |
Ohio | 63,996 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
45864 Zip Code | Ohio | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 32.86% | $1,848, see rank | 21.82% | $11,804 | 22.39% | $16,134 |
Social Security Income | 21.43% | $13,167, see rank | 29.41% | $16,360 | 28.34% | $16,727 |
Public Assistance Income | 5.71% | $1,325, see rank | 3.25% | $3,311 | 2.72% | $3,807 |
Retirement Income | 15.71% | $20,291, see rank | 20.77% | $21,208 | 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.