USA.com / Virginia / Sussex County / Sussex, VA / 23884 / Income and Careers / Historical Household Income Data
23884 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 23884 Zip Code | 66,875 USD |
| Virginia | 64,792 USD |
| U.S. | 53,482 USD |
| 23884 Zip Code | 72,319 USD |
| Virginia | 88,413 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
| 23884 Zip Code | Virginia | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 37.50% | $57,008, see rank | 24.24% | $15,190 | 21.11% | $16,919 |
| Social Security Income | 59.38% | $11,668, see rank | 27.46% | $17,750 | 29.33% | $17,636 |
| Public Assistance Income | -3.13% | $0, see rank | 2.06% | $3,108 | 2.82% | $3,720 |
| Retirement Income | 21.88% | $2,471, see rank | 21.03% | $29,144 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 23884 Zip Code | 163,462 USD |
| Virginia | 63,636 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
| 23884 Zip Code | Virginia | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 81.25% | $0, see rank | 25.39% | $14,803 | 22.39% | $16,134 |
| Social Security Income | 100.00% | $0, see rank | 26.44% | $16,719 | 28.34% | $16,727 |
| Public Assistance Income | -6.25% | $0, see rank | 1.97% | $3,001 | 2.72% | $3,807 |
| Retirement Income | 18.75% | $0, see rank | 20.70% | $28,169 | 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.