USA.com / Ohio / Ada, OH / 45810 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
45810 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
| 45810 Zip Code | 1,231 USD |
| Ohio | 1,274 USD |
| U.S. | 1,522 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45810 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.23% | 0.20% |
| $300 to $499 | 28 | 2.75%, see rank | 2.18% | 1.59% |
| $500 to $699 | 92 | 9.03%, see rank | 6.80% | 5.01% |
| $700 to $999 | 222 | 21.79%, see rank | 20.08% | 14.32% |
| $1,000 to $1,499 | 377 | 37.00%, see rank | 35.36% | 27.90% |
| $1,500 to $1,999 | 136 | 13.35%, see rank | 19.46% | 20.35% |
| $2,000 to $2,999 | 164 | 16.09%, see rank | 12.09% | 19.52% |
| $3,000 or More | 0 | 0.00%, see rank | 3.79% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 45810 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
| 45810 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 37 | 3.63%, see rank | 6.41% | 5.86% |
| 10% to 20% | 547 | 53.68%, see rank | 36.96% | 31.95% |
| 20% to 30% | 258 | 25.32%, see rank | 28.24% | 27.64% |
| 30% to 40% | 118 | 11.58%, see rank | 12.07% | 13.74% |
| 40% or More | 55 | 5.40%, see rank | 15.95% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
| 45810 Zip Code | 1,192 USD |
| Ohio | 1,303 USD |
| U.S. | 1,559 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45810 Zip Code | % | Ohio | U.S. |
| $299 or Less | 0 | 0.00%, see rank | 0.22% | 0.18% |
| $300 to $499 | 15 | 1.45%, see rank | 2.12% | 1.59% |
| $500 to $699 | 92 | 8.86%, see rank | 6.31% | 4.89% |
| $700 to $999 | 248 | 23.89%, see rank | 18.91% | 13.71% |
| $1,000 to $1,499 | 386 | 37.19%, see rank | 35.27% | 26.97% |
| $1,500 to $1,999 | 171 | 16.47%, see rank | 20.26% | 20.33% |
| $2,000 to $2,999 | 94 | 9.06%, see rank | 12.84% | 20.10% |
| $3,000 or More | 32 | 3.08%, see rank | 4.07% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
| 45810 Zip Code | 20.60% 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
| 45810 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 61 | 5.88%, see rank | 5.42% | 5.04% |
| 10% to 20% | 444 | 42.77%, see rank | 34.22% | 29.70% |
| 20% to 30% | 278 | 26.78%, see rank | 29.75% | 28.18% |
| 30% to 40% | 144 | 13.87%, see rank | 13.35% | 14.80% |
| 40% or More | 105 | 10.12%, see rank | 16.94% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
| 45810 Zip Code | 821 USD |
| Ohio | 963 USD |
| U.S. | 1,088 USD |
Owner Costs Distribution
| Monthly Owner Costs | 45810 Zip Code | % | Ohio | U.S. |
| $299 or Less | 25 | 3.08%, see rank | 0.69% | 0.66% |
| $300 to $499 | 24 | 2.96%, see rank | 6.50% | 5.56% |
| $500 to $699 | 235 | 28.94%, see rank | 15.96% | 12.79% |
| $700 to $999 | 292 | 35.96%, see rank | 30.45% | 24.86% |
| $1,000 to $1,499 | 184 | 22.66%, see rank | 30.13% | 30.21% |
| $1,500 to $1,999 | 52 | 6.40%, 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
| 45810 Zip Code | 17.90% 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
| 45810 Zip Code | % | Ohio | U.S. | |
| 10% or Less | 80 | 9.85%, see rank | 7.62% | 7.21% |
| 10% to 20% | 430 | 52.96%, see rank | 40.06% | 36.64% |
| 20% to 30% | 195 | 24.01%, see rank | 29.00% | 29.01% |
| 30% to 40% | 32 | 3.94%, see rank | 11.01% | 12.29% |
| 40% or More | 75 | 9.24%, 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.