USA.com / Alabama / Wilcox County / Mc Williams, AL / 36753 / Income and Careers / Historical Household Income Data
36753 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 36753 Zip Code | 18,750 USD |
| Alabama | 43,511 USD |
| U.S. | 53,482 USD |
| 36753 Zip Code | 18,666 USD |
| Alabama | 60,205 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
| 36753 Zip Code | Alabama | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | -3.13% | $0, see rank | 16.16% | $12,760 | 21.11% | $16,919 |
| Social Security Income | 100.00% | $18,369, see rank | 33.73% | $16,905 | 29.33% | $17,636 |
| Public Assistance Income | -3.13% | $0, see rank | 1.81% | $2,632 | 2.82% | $3,720 |
| Retirement Income | 25.00% | $1,175, see rank | 20.55% | $22,126 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 36753 Zip Code | 19,559 USD |
| Alabama | 43,160 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
| 36753 Zip Code | Alabama | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | -3.57% | $0, see rank | 17.15% | $12,915 | 22.39% | $16,134 |
| Social Security Income | 100.00% | $0, see rank | 32.79% | $16,054 | 28.34% | $16,727 |
| Public Assistance Income | -3.57% | $0, see rank | 1.67% | $2,603 | 2.72% | $3,807 |
| Retirement Income | 39.29% | $0, see rank | 20.10% | $20,921 | 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.