USA.com / Hawaii / Kauai County / Lawai, HI / 96765 / Income and Careers / Historical Household Income Data
96765 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank96765 Zip Code | 51,528 USD |
Hawaii | 68,201 USD |
U.S. | 53,482 USD |
96765 Zip Code | 78,733 USD |
Hawaii | 85,972 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
96765 Zip Code | Hawaii | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 34.47% | $18,476, see rank | 28.11% | $18,081 | 21.11% | $16,919 |
Social Security Income | 52.43% | $22,803, see rank | 32.67% | $18,194 | 29.33% | $17,636 |
Public Assistance Income | -0.49% | $0, see rank | 3.71% | $5,020 | 2.82% | $3,720 |
Retirement Income | 33.01% | $45,247, see rank | 22.52% | $27,572 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank96765 Zip Code | 55,729 USD |
Hawaii | 67,492 USD |
U.S. | 53,046 USD |
96765 Zip Code | 79,255 USD |
Hawaii | 84,466 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
96765 Zip Code | Hawaii | U.S. | ||||
%+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
Interest, Dividends, or Net Rental Income | 35.29% | $17,942, see rank | 29.35% | $17,462 | 22.39% | $16,134 |
Social Security Income | 36.36% | $18,451, see rank | 31.56% | $17,200 | 28.34% | $16,727 |
Public Assistance Income | -0.53% | $0, see rank | 3.59% | $5,263 | 2.72% | $3,807 |
Retirement Income | 27.27% | $17,206, see rank | 22.13% | $25,716 | 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.