USA.com / New York / Suffolk County / Sayville, NY / 11782 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
11782 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data
ACS 2010-2014 data
Median Owner Costs, see rank
11782 Zip Code | 3,019 USD |
New York | 2,042 USD |
U.S. | 1,522 USD |
Owner Costs Distribution
Monthly Owner Costs | 11782 Zip Code | % | New York | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.18% | 0.20% |
$300 to $499 | 0 | 0.00%, see rank | 0.98% | 1.59% |
$500 to $699 | 46 | 1.48%, see rank | 2.98% | 5.01% |
$700 to $999 | 10 | 0.32%, see rank | 9.38% | 14.32% |
$1,000 to $1,499 | 203 | 6.53%, see rank | 19.20% | 27.90% |
$1,500 to $1,999 | 278 | 8.95%, see rank | 16.14% | 20.35% |
$2,000 to $2,999 | 992 | 31.93%, see rank | 25.21% | 19.52% |
$3,000 or More | 1,578 | 50.79%, see rank | 25.94% | 11.12% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
11782 Zip Code | 25.80% of the Total Income |
New York | 25.30% of the Total Income |
U.S. | 23.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
11782 Zip Code | % | New York | U.S. | |
10% or Less | 72 | 2.32%, see rank | 5.96% | 5.86% |
10% to 20% | 795 | 25.59%, see rank | 28.39% | 31.95% |
20% to 30% | 1,143 | 36.79%, see rank | 26.11% | 27.64% |
30% to 40% | 454 | 14.61%, see rank | 14.22% | 13.74% |
40% or More | 643 | 20.70%, see rank | 24.87% | 20.29% |
ACS 2008-2012 data
Median Owner Costs, see rank
11782 Zip Code | 2,975 USD |
New York | 2,040 USD |
U.S. | 1,559 USD |
Owner Costs Distribution
Monthly Owner Costs | 11782 Zip Code | % | New York | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.16% | 0.18% |
$300 to $499 | 0 | 0.00%, see rank | 0.95% | 1.59% |
$500 to $699 | 51 | 1.65%, see rank | 2.97% | 4.89% |
$700 to $999 | 22 | 0.71%, see rank | 9.33% | 13.71% |
$1,000 to $1,499 | 185 | 5.99%, see rank | 19.43% | 26.97% |
$1,500 to $1,999 | 251 | 8.13%, see rank | 16.12% | 20.33% |
$2,000 to $2,999 | 1,065 | 34.48%, see rank | 24.60% | 20.10% |
$3,000 or More | 1,515 | 49.04%, see rank | 26.45% | 12.24% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
11782 Zip Code | 27.70% of the Total Income |
New York | 26.00% of the Total Income |
U.S. | 24.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
11782 Zip Code | % | New York | U.S. | |
10% or Less | 97 | 3.14%, see rank | 5.47% | 5.04% |
10% to 20% | 693 | 22.43%, see rank | 27.12% | 29.70% |
20% to 30% | 979 | 31.69%, see rank | 26.42% | 28.18% |
30% to 40% | 483 | 15.64%, see rank | 14.87% | 14.80% |
40% or More | 837 | 27.10%, see rank | 25.71% | 21.80% |
US Census 2000 data
Median Owner Costs, see rank
11782 Zip Code | 1,728 USD |
New York | 1,357 USD |
U.S. | 1,088 USD |
Owner Costs Distribution
Monthly Owner Costs | 11782 Zip Code | % | New York | U.S. |
$299 or Less | 0 | 0.00%, see rank | 0.13% | 0.66% |
$300 to $499 | 0 | 0.00%, see rank | 1.93% | 5.56% |
$500 to $699 | 26 | 0.84%, see rank | 6.98% | 12.79% |
$700 to $999 | 206 | 6.65%, see rank | 19.04% | 24.86% |
$1,000 to $1,499 | 723 | 23.32%, see rank | 29.86% | 30.21% |
$1,500 to $1,999 | 1,206 | 38.90%, see rank | 21.40% | 14.37% |
$2,000 to $2,999 | 755 | 24.35%, see rank | 15.11% | 8.43% |
$3,000 or More | 184 | 5.94%, see rank | 5.55% | 3.13% |
Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
11782 Zip Code | 23.20% of the Total Income |
New York | 23.20% of the Total Income |
U.S. | 21.70% of the Total Income |
Owner Cost as a Percentage of the Total Income, Distribution
11782 Zip Code | % | New York | U.S. | |
10% or Less | 191 | 6.16%, see rank | 6.06% | 7.21% |
10% to 20% | 947 | 30.55%, see rank | 32.96% | 36.64% |
20% to 30% | 988 | 31.87%, see rank | 29.32% | 29.01% |
30% to 40% | 391 | 12.61%, see rank | 13.64% | 12.29% |
40% or More | 576 | 18.58%, see rank | 17.57% | 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.