80023 Zip Code Historical Household Income Data
ACS 2010-2014 data
Median Household Income, see rank| 80023 Zip Code | 108,162 USD |
| Colorado | 59,448 USD |
| U.S. | 53,482 USD |
| 80023 Zip Code | 136,994 USD |
| Colorado | 79,990 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
| 80023 Zip Code | Colorado | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 39.34% | $24,089, see rank | 23.86% | $18,766 | 21.11% | $16,919 |
| Social Security Income | 26.84% | $21,061, see rank | 23.61% | $17,294 | 29.33% | $17,636 |
| Public Assistance Income | 0.62% | $13,292, see rank | 2.21% | $3,678 | 2.82% | $3,720 |
| Retirement Income | 19.85% | $33,854, see rank | 15.98% | $27,700 | 17.85% | $24,095 |
+ The percentage of the total households that have the income.
ACS 2008-2012 data
Median Household Income, see rank| 80023 Zip Code | 110,718 USD |
| Colorado | 58,244 USD |
| U.S. | 53,046 USD |
| 80023 Zip Code | 134,676 USD |
| Colorado | 77,900 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
| 80023 Zip Code | Colorado | U.S. | ||||
| %+ | Average Amount | %+ | Average Amount | %+ | Average Amount | |
| Interest, Dividends, or Net Rental Income | 38.74% | $20,501, see rank | 24.71% | $17,867 | 22.39% | $16,134 |
| Social Security Income | 22.92% | $20,919, see rank | 22.20% | $16,281 | 28.34% | $16,727 |
| Public Assistance Income | 0.60% | $14,328, see rank | 2.09% | $3,659 | 2.72% | $3,807 |
| Retirement Income | 18.44% | $38,124, see rank | 15.56% | $26,962 | 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.