USA.com / Ohio / Shelby County / Russia, OH / 45363 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
45363 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
| 45363 Zip Code | 1,163 USD |
| Ohio | 1,274 USD |
| U.S. | 1,522 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45363 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.23% | 0.20% |
| $300 to $499 | 2 | 0.73%, see rank | 2.18% | 1.59% |
| $500 to $699 | 22 | 8.06%, see rank | 6.80% | 5.01% |
| $700 to $999 | 80 | 29.30%, see rank | 20.08% | 14.32% |
| $1,000 to $1,499 | 90 | 32.97%, see rank | 35.36% | 27.90% |
| $1,500 to $1,999 | 43 | 15.75%, see rank | 19.46% | 20.35% |
| $2,000 to $2,999 | 33 | 12.09%, see rank | 12.09% | 19.52% |
| $3,000 or More | 3 | 1.10%, see rank | 3.79% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 45363 Zip Code | 18.70% of the Total Income |
| Ohio | 21.90% of the Total Income |
| U.S. | 23.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
| 45363 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 30 | 10.99%, see rank | 6.41% | 5.86% |
| 10% to 20% | 118 | 43.22%, see rank | 36.96% | 31.95% |
| 20% to 30% | 69 | 25.27%, see rank | 28.24% | 27.64% |
| 30% to 40% | 32 | 11.72%, see rank | 12.07% | 13.74% |
| 40% or More | 24 | 8.79%, see rank | 15.95% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
| 45363 Zip Code | 1,110 USD |
| Ohio | 1,303 USD |
| U.S. | 1,559 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45363 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.22% | 0.18% |
| $300 to $499 | 13 | 5.16%, see rank | 2.12% | 1.59% |
| $500 to $699 | 27 | 10.71%, see rank | 6.31% | 4.89% |
| $700 to $999 | 60 | 23.81%, see rank | 18.91% | 13.71% |
| $1,000 to $1,499 | 81 | 32.14%, see rank | 35.27% | 26.97% |
| $1,500 to $1,999 | 49 | 19.44%, see rank | 20.26% | 20.33% |
| $2,000 to $2,999 | 22 | 8.73%, see rank | 12.84% | 20.10% |
| $3,000 or More | 0 | 0.00%, see rank | 4.07% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 45363 Zip Code | 18.20% of the Total Income |
| Ohio | 22.90% of the Total Income |
| U.S. | 24.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
| 45363 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 29 | 11.51%, see rank | 5.42% | 5.04% |
| 10% to 20% | 114 | 45.24%, see rank | 34.22% | 29.70% |
| 20% to 30% | 75 | 29.76%, see rank | 29.75% | 28.18% |
| 30% to 40% | 26 | 10.32%, see rank | 13.35% | 14.80% |
| 40% or More | 8 | 3.17%, see rank | 16.94% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
| 45363 Zip Code | 836 USD |
| Ohio | 963 USD |
| U.S. | 1,088 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45363 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.69% | 0.66% |
| $300 to $499 | 20 | 10.81%, see rank | 6.50% | 5.56% |
| $500 to $699 | 44 | 23.78%, see rank | 15.96% | 12.79% |
| $700 to $999 | 51 | 27.57%, see rank | 30.45% | 24.86% |
| $1,000 to $1,499 | 45 | 24.32%, see rank | 30.13% | 30.21% |
| $1,500 to $1,999 | 23 | 12.43%, see rank | 10.18% | 14.37% |
| $2,000 to $2,999 | 2 | 1.08%, see rank | 4.70% | 8.43% |
| $3,000 or More | 0 | 0.00%, see rank | 1.38% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 45363 Zip Code | 17.70% of the Total Income |
| Ohio | 20.60% of the Total Income |
| U.S. | 21.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
| 45363 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 19 | 10.27%, see rank | 7.62% | 7.21% |
| 10% to 20% | 92 | 49.73%, see rank | 40.06% | 36.64% |
| 20% to 30% | 42 | 22.70%, see rank | 29.00% | 29.01% |
| 30% to 40% | 20 | 10.81%, see rank | 11.01% | 12.29% |
| 40% or More | 12 | 6.49%, see rank | 11.94% | 14.37% |
* 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.