USA.com / Florida / Miami-Dade County / Hialeah, FL / 33015 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
33015 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
33015 Zip Code | 1,671 USD |
Florida | 1,480 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 33015 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.21% | 0.20% |
$300 to $499 | 34 | 0.34%, see rank | 1.53% | 1.59% |
$500 to $699 | 231 | 2.34%, see rank | 5.00% | 5.01% |
$700 to $999 | 885 | 8.96%, see rank | 14.91% | 14.32% |
$1,000 to $1,499 | 2,808 | 28.43%, see rank | 29.50% | 27.90% |
$1,500 to $1,999 | 2,667 | 27.00%, see rank | 21.21% | 20.35% |
$2,000 to $2,999 | 2,722 | 27.56%, see rank | 18.45% | 19.52% |
$3,000 or More | 530 | 5.37%, see rank | 9.20% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33015 Zip Code | 30.70% 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
33015 Zip Code | % | Florida | U.S. | |
10% or Less | 212 | 2.15%, see rank | 4.76% | 5.86% |
10% to 20% | 2,001 | 20.26%, see rank | 25.89% | 31.95% |
20% to 30% | 2,568 | 26.00%, see rank | 25.92% | 27.64% |
30% to 40% | 1,699 | 17.20%, see rank | 14.93% | 13.74% |
40% or More | 3,328 | 33.69%, see rank | 27.62% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
33015 Zip Code | 1,734 USD |
Florida | 1,581 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 33015 Zip Code | % | Florida | U.S. |
$299 or Less | 29 | 0.28%, see rank | 0.16% | 0.18% |
$300 to $499 | 15 | 0.15%, see rank | 1.35% | 1.59% |
$500 to $699 | 202 | 1.96%, see rank | 4.35% | 4.89% |
$700 to $999 | 735 | 7.14%, see rank | 12.95% | 13.71% |
$1,000 to $1,499 | 2,780 | 27.01%, see rank | 27.28% | 26.97% |
$1,500 to $1,999 | 2,815 | 27.35%, see rank | 21.94% | 20.33% |
$2,000 to $2,999 | 2,862 | 27.81%, see rank | 20.86% | 20.10% |
$3,000 or More | 853 | 8.29%, see rank | 11.12% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33015 Zip Code | 32.40% 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
33015 Zip Code | % | Florida | U.S. | |
10% or Less | 187 | 1.82%, see rank | 3.77% | 5.04% |
10% to 20% | 1,909 | 18.55%, see rank | 22.65% | 29.70% |
20% to 30% | 2,433 | 23.64%, see rank | 25.75% | 28.18% |
30% to 40% | 2,050 | 19.92%, see rank | 16.23% | 14.80% |
40% or More | 3,633 | 35.30%, see rank | 30.81% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
33015 Zip Code | 1,226 USD |
Florida | 1,004 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 33015 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.56% | 0.66% |
$300 to $499 | 60 | 0.83%, see rank | 5.28% | 5.56% |
$500 to $699 | 121 | 1.68%, see rank | 14.43% | 12.79% |
$700 to $999 | 1,439 | 20.01%, see rank | 29.41% | 24.86% |
$1,000 to $1,499 | 3,788 | 52.67%, see rank | 30.13% | 30.21% |
$1,500 to $1,999 | 1,278 | 17.77%, see rank | 11.48% | 14.37% |
$2,000 to $2,999 | 488 | 6.79%, see rank | 6.20% | 8.43% |
$3,000 or More | 18 | 0.25%, see rank | 2.52% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33015 Zip Code | 26.40% 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
33015 Zip Code | % | Florida | U.S. | |
10% or Less | 248 | 3.45%, see rank | 6.39% | 7.21% |
10% to 20% | 1,966 | 27.34%, see rank | 33.85% | 36.64% |
20% to 30% | 2,091 | 29.07%, see rank | 28.48% | 29.01% |
30% to 40% | 1,246 | 17.32%, see rank | 13.02% | 12.29% |
40% or More | 1,560 | 21.69%, 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.