USA.com / Utah / Washington County / Rockville, UT / 84763 / Income and Careers / Historical Household Income Data
84763 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank84763 Zip Code | 49,000 USD |
Utah | 59,846 USD |
U.S. | 53,482 USD |
84763 Zip Code | 69,549 USD |
Utah | 75,204 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
84763 Zip Code | Utah | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 30.88% | $16,150, see rank | 20.86% | $14,567 | 21.11% | $16,919 |
Social Security Income | 37.50% | $24,424, see rank | 23.25% | $18,329 | 29.33% | $17,636 |
Public Assistance Income | 2.94% | $1,625, see rank | 2.13% | $3,692 | 2.82% | $3,720 |
Retirement Income | 27.21% | $17,805, see rank | 15.60% | $24,686 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank84763 Zip Code | 57,250 USD |
Utah | 58,164 USD |
U.S. | 53,046 USD |
84763 Zip Code | 74,224 USD |
Utah | 73,002 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
84763 Zip Code | Utah | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 23.97% | $7,424, see rank | 22.16% | $13,450 | 22.39% | $16,134 |
Social Security Income | 32.23% | $20,633, see rank | 22.22% | $17,416 | 28.34% | $16,727 |
Public Assistance Income | -0.83% | $0, see rank | 2.13% | $3,778 | 2.72% | $3,807 |
Retirement Income | 20.66% | $23,460, see rank | 15.35% | $24,106 | 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.