USA.com / Wisconsin / Dunn County / Sand Creek, WI / 54765 / Income and Careers / Historical Household Income Data
54765 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 54765 Zip Code | 23,393 USD |
| Wisconsin | 52,738 USD |
| U.S. | 53,482 USD |
| 54765 Zip Code | 26,839 USD |
| Wisconsin | 68,319 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
| 54765 Zip Code | Wisconsin | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 30.43% | $8,986, see rank | 25.59% | $11,413 | 21.11% | $16,919 |
| Social Security Income | 8.70% | $8,000, see rank | 29.74% | $18,277 | 29.33% | $17,636 |
| Public Assistance Income | -4.35% | $0, see rank | 2.24% | $3,370 | 2.82% | $3,720 |
| Retirement Income | 30.43% | $2,471, see rank | 17.90% | $20,958 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 54765 Zip Code | 14,821 USD |
| Wisconsin | 52,627 USD |
| U.S. | 53,046 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
| 54765 Zip Code | Wisconsin | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 53.85% | $0, see rank | 27.44% | $10,915 | 22.39% | $16,134 |
| Social Security Income | -7.69% | $0, see rank | 28.32% | $17,408 | 28.34% | $16,727 |
| Public Assistance Income | -7.69% | $0, see rank | 2.05% | $3,519 | 2.72% | $3,807 |
| Retirement Income | 53.85% | $0, see rank | 17.38% | $20,618 | 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.