USA.com / Ohio / Hancock County / Williamstown, OH / 45897 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
45897 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data
ACS 2010-2014 data
Owner Costs Distribution
| Monthly Owner Costs | 45897 Zip Code | % | Ohio | U.S. |
| $199 or Less | 17 | 60.71%, see rank | 5.13% | 7.76% |
| $200 to $299 | 0 | 0.00%, see rank | 14.20% | 14.70% |
| $300 to $499 | 0 | 0.00%, see rank | 42.71% | 34.63% |
| $500 to $699 | 0 | 0.00%, see rank | 23.95% | 21.16% |
| $700 or More | 11 | 39.29%, see rank | 14.02% | 21.75% |
Owner Cost as a Percentage of the Total Income, Distribution
| 45897 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 28 | 100.00%, see rank | 38.42% | 40.19% |
| 10% to 20% | 0 | 0.00%, see rank | 34.59% | 31.47% |
| 20% to 30% | 0 | 0.00%, see rank | 12.85% | 12.24% |
| 30% to 40% | 0 | 0.00%, see rank | 5.47% | 5.64% |
| 40% or More | 0 | 0.00%, see rank | 7.60% | 9.16% |
US Census 2000 data
Median Owner Costs, see rank
| 45897 Zip Code | 225 USD |
| Ohio | 289 USD |
| U.S. | 295 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45897 Zip Code | % | Ohio | U.S. |
| $199 or Less | 0 | 0.00%, see rank | 15.26% | 18.76% |
| $200 to $299 | 7 | 100.00%, see rank | 38.98% | 32.81% |
| $300 to $499 | 0 | 0.00%, see rank | 36.85% | 33.61% |
| $500 to $699 | 0 | 0.00%, see rank | 6.22% | 9.21% |
| $700 to $999 | 0 | 0.00%, see rank | 1.91% | 3.83% |
| $1,000 or More | 0 | 0.00%, see rank | 0.79% | 1.78% |
Owner Cost as a Percentage of the Total Income, Distribution
| 45897 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 7 | 100.00%, see rank | 46.80% | 47.32% |
| 10% to 20% | 0 | 0.00%, see rank | 32.72% | 30.46% |
| 20% to 30% | 0 | 0.00%, see rank | 10.21% | 10.16% |
| 30% to 40% | 0 | 0.00%, see rank | 3.88% | 4.28% |
| 40% or More | 0 | 0.00%, see rank | 5.10% | 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.