USA.com / South Carolina / Aiken County / Vaucluse, SC / 29850 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
29850 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
ACS 2010-2014 data
Owner Costs Distribution
| Monthly Owner Costs | 29850 Zip Code | % | South Carolina | U.S. |
| $199 or Less | 0 | 0.00%, see rank | 13.07% | 7.76% |
| $200 to $299 | 15 | 50.00%, see rank | 24.48% | 14.70% |
| $300 to $499 | 0 | 0.00%, see rank | 40.27% | 34.63% |
| $500 to $699 | 15 | 50.00%, see rank | 14.26% | 21.16% |
| $700 to $999 | 0 | 0.00%, see rank | 0.00% | 0.00% |
| $1,000 or More | 0 | 0.00%, see rank | 0.00% | 0.00% |
Owner Cost as a Percentage of the Total Income, Distribution
| 29850 Zip Code | % | South Carolina | U.S. | |
| 10% or Less | 0 | 0.00%, see rank | 43.95% | 40.19% |
| 10% to 20% | 30 | 100.00%, see rank | 30.22% | 31.47% |
| 20% to 30% | 0 | 0.00%, see rank | 10.99% | 12.24% |
| 30% to 40% | 0 | 0.00%, see rank | 5.04% | 5.64% |
| 40% or More | 0 | 0.00%, see rank | 7.88% | 9.16% |
ACS 2008-2012 data
Owner Costs Distribution
| Monthly Owner Costs | 29850 Zip Code | % | South Carolina | U.S. |
| $199 or Less | 0 | 0.00%, see rank | 14.48% | 7.99% |
| $200 to $299 | 0 | 0.00%, see rank | 26.19% | 15.31% |
| $300 to $499 | 0 | 0.00%, see rank | 38.90% | 35.02% |
| $500 to $699 | 14 | 100.00%, see rank | 13.23% | 20.88% |
| $700 to $999 | 0 | 0.00%, see rank | 0.00% | 0.00% |
| $1,000 or More | 0 | 0.00%, see rank | 0.00% | 0.00% |
Owner Cost as a Percentage of the Total Income, Distribution
| 29850 Zip Code | % | South Carolina | U.S. | |
| 10% or Less | 0 | 0.00%, see rank | 43.80% | 39.10% |
| 10% to 20% | 14 | 100.00%, see rank | 30.47% | 31.88% |
| 20% to 30% | 0 | 0.00%, see rank | 11.05% | 12.59% |
| 30% to 40% | 0 | 0.00%, see rank | 4.85% | 5.84% |
| 40% or More | 0 | 0.00%, see rank | 8.12% | 9.41% |
* 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.