USA.com / Ohio / Clark County / Donnelsville, OH / 45319 / Income and Careers / Historical Household Income Data
45319 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank45319 Zip Code | 44,821 USD |
Ohio | 48,849 USD |
U.S. | 53,482 USD |
45319 Zip Code | 80,574 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
45319 Zip Code | Ohio | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 19.31% | $4,957, see rank | 20.41% | $12,326 | 21.11% | $16,919 |
Social Security Income | 24.83% | $17,856, see rank | 30.33% | $17,126 | 29.33% | $17,636 |
Public Assistance Income | 6.90% | $2,090, see rank | 3.33% | $3,240 | 2.82% | $3,720 |
Retirement Income | 19.31% | $22,954, 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 rank45319 Zip Code | 41,875 USD |
Ohio | 48,246 USD |
U.S. | 53,046 USD |
45319 Zip Code | 72,262 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
45319 Zip Code | Ohio | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 21.54% | $4,164, see rank | 21.82% | $11,804 | 22.39% | $16,134 |
Social Security Income | 32.31% | $14,236, see rank | 29.41% | $16,360 | 28.34% | $16,727 |
Public Assistance Income | 2.31% | $1,367, see rank | 3.25% | $3,311 | 2.72% | $3,807 |
Retirement Income | 28.46% | $28,881, 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.