USA.com / Florida / Miami-Dade County / Miami, FL / 33196 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
33196 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
33196 Zip Code | 1,987 USD |
Florida | 1,480 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 33196 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.21% | 0.20% |
$300 to $499 | 37 | 0.46%, see rank | 1.53% | 1.59% |
$500 to $699 | 61 | 0.75%, see rank | 5.00% | 5.01% |
$700 to $999 | 241 | 2.97%, see rank | 14.91% | 14.32% |
$1,000 to $1,499 | 1,372 | 16.88%, see rank | 29.50% | 27.90% |
$1,500 to $1,999 | 2,415 | 29.71%, see rank | 21.21% | 20.35% |
$2,000 to $2,999 | 2,742 | 33.74%, see rank | 18.45% | 19.52% |
$3,000 or More | 1,260 | 15.50%, see rank | 9.20% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33196 Zip Code | 30.60% 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
33196 Zip Code | % | Florida | U.S. | |
10% or Less | 220 | 2.71%, see rank | 4.76% | 5.86% |
10% to 20% | 1,558 | 19.17%, see rank | 25.89% | 31.95% |
20% to 30% | 2,108 | 25.94%, see rank | 25.92% | 27.64% |
30% to 40% | 1,365 | 16.79%, see rank | 14.93% | 13.74% |
40% or More | 2,753 | 33.87%, see rank | 27.62% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
33196 Zip Code | 2,168 USD |
Florida | 1,581 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 33196 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.16% | 0.18% |
$300 to $499 | 0 | 0.00%, see rank | 1.35% | 1.59% |
$500 to $699 | 53 | 0.63%, see rank | 4.35% | 4.89% |
$700 to $999 | 225 | 2.69%, see rank | 12.95% | 13.71% |
$1,000 to $1,499 | 1,036 | 12.37%, see rank | 27.28% | 26.97% |
$1,500 to $1,999 | 2,222 | 26.53%, see rank | 21.94% | 20.33% |
$2,000 to $2,999 | 3,053 | 36.45%, see rank | 20.86% | 20.10% |
$3,000 or More | 1,787 | 21.33%, see rank | 11.12% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33196 Zip Code | 33.20% 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
33196 Zip Code | % | Florida | U.S. | |
10% or Less | 174 | 2.08%, see rank | 3.77% | 5.04% |
10% to 20% | 1,333 | 15.91%, see rank | 22.65% | 29.70% |
20% to 30% | 2,039 | 24.34%, see rank | 25.75% | 28.18% |
30% to 40% | 1,471 | 17.56%, see rank | 16.23% | 14.80% |
40% or More | 3,318 | 39.61%, see rank | 30.81% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
33196 Zip Code | 1,404 USD |
Florida | 1,004 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 33196 Zip Code | % | Florida | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.56% | 0.66% |
$300 to $499 | 31 | 0.49%, see rank | 5.28% | 5.56% |
$500 to $699 | 77 | 1.22%, see rank | 14.43% | 12.79% |
$700 to $999 | 604 | 9.57%, see rank | 29.41% | 24.86% |
$1,000 to $1,499 | 3,056 | 48.43%, see rank | 30.13% | 30.21% |
$1,500 to $1,999 | 1,753 | 27.78%, see rank | 11.48% | 14.37% |
$2,000 to $2,999 | 777 | 12.31%, see rank | 6.20% | 8.43% |
$3,000 or More | 12 | 0.19%, see rank | 2.52% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
33196 Zip Code | 25.40% 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
33196 Zip Code | % | Florida | U.S. | |
10% or Less | 227 | 3.60%, see rank | 6.39% | 7.21% |
10% to 20% | 1,346 | 21.33%, see rank | 33.85% | 36.64% |
20% to 30% | 2,362 | 37.43%, see rank | 28.48% | 29.01% |
30% to 40% | 1,034 | 16.39%, see rank | 13.02% | 12.29% |
40% or More | 1,307 | 20.71%, 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.