USA.com / Florida / Seminole County / Lake Mary, FL / 32746 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
32746 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
32746 Zip Code | 1,906 USD |
Florida | 1,480 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 32746 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.21% | 0.20% |
$300 to $499 | 43 | 0.57%, see rank | 1.53% | 1.59% |
$500 to $699 | 60 | 0.79%, see rank | 5.00% | 5.01% |
$700 to $999 | 769 | 10.14%, see rank | 14.91% | 14.32% |
$1,000 to $1,499 | 1,585 | 20.91%, see rank | 29.50% | 27.90% |
$1,500 to $1,999 | 1,678 | 22.13%, see rank | 21.21% | 20.35% |
$2,000 to $2,999 | 2,287 | 30.17%, see rank | 18.45% | 19.52% |
$3,000 or More | 1,159 | 15.29%, see rank | 9.20% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
32746 Zip Code | 25.70% of the Total Income |
Florida | 26.90% of the Total Income |
U.S. | 23.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
32746 Zip Code | % | Florida | U.S. | |
10% or Less | 390 | 5.14%, see rank | 4.76% | 5.86% |
10% to 20% | 1,992 | 26.28%, see rank | 25.89% | 31.95% |
20% to 30% | 2,429 | 32.04%, see rank | 25.92% | 27.64% |
30% to 40% | 906 | 11.95%, see rank | 14.93% | 13.74% |
40% or More | 1,838 | 24.24%, see rank | 27.62% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
32746 Zip Code | 1,987 USD |
Florida | 1,581 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 32746 Zip Code | % | Florida | U.S. |
$299 or Less | 8 | 0.10%, see rank | 0.16% | 0.18% |
$300 to $499 | 88 | 1.10%, see rank | 1.35% | 1.59% |
$500 to $699 | 59 | 0.74%, see rank | 4.35% | 4.89% |
$700 to $999 | 386 | 4.84%, see rank | 12.95% | 13.71% |
$1,000 to $1,499 | 1,445 | 18.11%, see rank | 27.28% | 26.97% |
$1,500 to $1,999 | 2,057 | 25.78%, see rank | 21.94% | 20.33% |
$2,000 to $2,999 | 2,423 | 30.37%, see rank | 20.86% | 20.10% |
$3,000 or More | 1,513 | 18.96%, see rank | 11.12% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
32746 Zip Code | 26.90% of the Total Income |
Florida | 28.90% of the Total Income |
U.S. | 24.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
32746 Zip Code | % | Florida | U.S. | |
10% or Less | 281 | 3.52%, see rank | 3.77% | 5.04% |
10% to 20% | 1,927 | 24.15%, see rank | 22.65% | 29.70% |
20% to 30% | 2,489 | 31.19%, see rank | 25.75% | 28.18% |
30% to 40% | 993 | 12.45%, see rank | 16.23% | 14.80% |
40% or More | 2,266 | 28.40%, see rank | 30.81% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
32746 Zip Code | 1,248 USD |
Florida | 1,004 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 32746 Zip Code | % | Florida | U.S. |
$299 or Less | 8 | 0.13%, see rank | 0.56% | 0.66% |
$300 to $499 | 79 | 1.28%, see rank | 5.28% | 5.56% |
$500 to $699 | 230 | 3.73%, see rank | 14.43% | 12.79% |
$700 to $999 | 1,126 | 18.27%, see rank | 29.41% | 24.86% |
$1,000 to $1,499 | 2,757 | 44.73%, see rank | 30.13% | 30.21% |
$1,500 to $1,999 | 1,107 | 17.96%, see rank | 11.48% | 14.37% |
$2,000 to $2,999 | 678 | 11.00%, see rank | 6.20% | 8.43% |
$3,000 or More | 179 | 2.90%, see rank | 2.52% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
32746 Zip Code | 21.00% of the Total Income |
Florida | 22.80% of the Total Income |
U.S. | 21.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
32746 Zip Code | % | Florida | U.S. | |
10% or Less | 422 | 6.85%, see rank | 6.39% | 7.21% |
10% to 20% | 2,414 | 39.16%, see rank | 33.85% | 36.64% |
20% to 30% | 1,818 | 29.49%, see rank | 28.48% | 29.01% |
30% to 40% | 801 | 12.99%, see rank | 13.02% | 12.29% |
40% or More | 680 | 11.03%, see rank | 17.60% | 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.