USA.com / Georgia / Liberty County / Fort Stewart, GA / 31315 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
31315 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
ACS 2010-2014 data
Owner Costs Distribution
Monthly Owner Costs | 31315 Zip Code | % | Georgia | U.S. |
$199 or Less | 0 | 0.00%, see rank | 8.37% | 7.76% |
$200 to $299 | 0 | 0.00%, see rank | 19.80% | 14.70% |
$300 to $499 | 4 | 100.00%, see rank | 40.86% | 34.63% |
$500 to $699 | 0 | 0.00%, see rank | 18.40% | 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
31315 Zip Code | % | Georgia | U.S. | |
10% or Less | 0 | 0.00%, see rank | 42.94% | 40.19% |
10% to 20% | 0 | 0.00%, see rank | 30.37% | 31.47% |
20% to 30% | 0 | 0.00%, see rank | 11.52% | 12.24% |
30% to 40% | 4 | 100.00%, see rank | 5.07% | 5.64% |
40% or More | 0 | 0.00%, see rank | 8.33% | 9.16% |
US Census 2000 data
Median Owner Costs, see rank
31315 Zip Code | 225 USD |
Georgia | 259 USD |
U.S. | 295 USD |
Owner Costs Distribution
Monthly Owner Costs | 31315 Zip Code | % | Georgia | U.S. |
$199 or Less | 0 | 0.00%, see rank | 27.34% | 18.76% |
$200 to $299 | 9 | 100.00%, see rank | 35.76% | 32.81% |
$300 to $499 | 0 | 0.00%, see rank | 28.01% | 33.61% |
$500 to $699 | 0 | 0.00%, see rank | 5.54% | 9.21% |
$700 to $999 | 0 | 0.00%, see rank | 2.23% | 3.83% |
$1,000 or More | 0 | 0.00%, see rank | 1.12% | 1.78% |
Owner Cost as a Percentage of the Total Income, Distribution
31315 Zip Code | % | Georgia | U.S. | |
10% or Less | 9 | 100.00%, see rank | 52.15% | 47.32% |
10% to 20% | 0 | 0.00%, see rank | 26.78% | 30.46% |
20% to 30% | 0 | 0.00%, see rank | 9.13% | 10.16% |
30% to 40% | 0 | 0.00%, see rank | 3.89% | 4.28% |
40% or More | 0 | 0.00%, see rank | 6.03% | 6.22% |
* 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.