USA.com / Ohio / Columbiana County / Rogers, OH / 44455 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
44455 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
| 44455 Zip Code | 1,041 USD |
| Ohio | 1,274 USD |
| U.S. | 1,522 USD |
Owner Costs Distribution
| Monthly Owner Costs | 44455 Zip Code | % | Ohio | U.S. |
| $299 or Less | 31 | 10.65%, see rank | 0.23% | 0.20% |
| $300 to $499 | 2 | 0.69%, see rank | 2.18% | 1.59% |
| $500 to $699 | 53 | 18.21%, see rank | 6.80% | 5.01% |
| $700 to $999 | 46 | 15.81%, see rank | 20.08% | 14.32% |
| $1,000 to $1,499 | 131 | 45.02%, see rank | 35.36% | 27.90% |
| $1,500 to $1,999 | 17 | 5.84%, see rank | 19.46% | 20.35% |
| $2,000 to $2,999 | 10 | 3.44%, see rank | 12.09% | 19.52% |
| $3,000 or More | 1 | 0.34%, see rank | 3.79% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 44455 Zip Code | 18.90% 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
| 44455 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 8 | 2.75%, see rank | 6.41% | 5.86% |
| 10% to 20% | 137 | 47.08%, see rank | 36.96% | 31.95% |
| 20% to 30% | 89 | 30.58%, see rank | 28.24% | 27.64% |
| 30% to 40% | 11 | 3.78%, see rank | 12.07% | 13.74% |
| 40% or More | 29 | 9.97%, see rank | 15.95% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
| 44455 Zip Code | 1,167 USD |
| Ohio | 1,303 USD |
| U.S. | 1,559 USD |
Owner Costs Distribution
| Monthly Owner Costs | 44455 Zip Code | % | Ohio | U.S. |
| $299 or Less | 42 | 14.74%, see rank | 0.22% | 0.18% |
| $300 to $499 | 1 | 0.35%, see rank | 2.12% | 1.59% |
| $500 to $699 | 4 | 1.40%, see rank | 6.31% | 4.89% |
| $700 to $999 | 36 | 12.63%, see rank | 18.91% | 13.71% |
| $1,000 to $1,499 | 183 | 64.21%, see rank | 35.27% | 26.97% |
| $1,500 to $1,999 | 17 | 5.96%, see rank | 20.26% | 20.33% |
| $2,000 to $2,999 | 0 | 0.00%, see rank | 12.84% | 20.10% |
| $3,000 or More | 2 | 0.70%, see rank | 4.07% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 44455 Zip Code | 20.90% 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
| 44455 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 0 | 0.00%, see rank | 5.42% | 5.04% |
| 10% to 20% | 127 | 44.56%, see rank | 34.22% | 29.70% |
| 20% to 30% | 118 | 41.40%, see rank | 29.75% | 28.18% |
| 30% to 40% | 7 | 2.46%, see rank | 13.35% | 14.80% |
| 40% or More | 33 | 11.58%, see rank | 16.94% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
| 44455 Zip Code | 744 USD |
| Ohio | 963 USD |
| U.S. | 1,088 USD |
Owner Costs Distribution
| Monthly Owner Costs | 44455 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.69% | 0.66% |
| $300 to $499 | 35 | 18.82%, see rank | 6.50% | 5.56% |
| $500 to $699 | 51 | 27.42%, see rank | 15.96% | 12.79% |
| $700 to $999 | 52 | 27.96%, see rank | 30.45% | 24.86% |
| $1,000 to $1,499 | 46 | 24.73%, see rank | 30.13% | 30.21% |
| $1,500 to $1,999 | 2 | 1.08%, see rank | 10.18% | 14.37% |
| $2,000 to $2,999 | 0 | 0.00%, 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
| 44455 Zip Code | 23.80% 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
| 44455 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 23 | 12.37%, see rank | 7.62% | 7.21% |
| 10% to 20% | 51 | 27.42%, see rank | 40.06% | 36.64% |
| 20% to 30% | 53 | 28.49%, see rank | 29.00% | 29.01% |
| 30% to 40% | 27 | 14.52%, see rank | 11.01% | 12.29% |
| 40% or More | 30 | 16.13%, 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.