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USA.com / Maine / York County / York Harbor, ME / 03911 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

03911 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

 

ACS 2010-2014 data


Owner Costs Distribution
Monthly Owner Costs03911 Zip Code%MaineU.S.
$299 or Less00.00%, see rank0.29%0.20%
$300 to $49900.00%, see rank2.45%1.59%
$500 to $69900.00%, see rank6.74%5.01%
$700 to $99900.00%, see rank17.13%14.32%
$1,000 to $1,49900.00%, see rank32.95%27.90%
$1,500 to $1,99900.00%, see rank21.80%20.35%
$2,000 to $2,99914100.00%, see rank14.44%19.52%
$3,000 or More00.00%, see rank4.21%11.12%

Owner Cost as a Percentage of the Total Income, Distribution
 03911 Zip Code%MaineU.S.
10% or Less14100.00%, see rank5.71%5.86%
10% to 20%00.00%, see rank32.42%31.95%
20% to 30%00.00%, see rank28.26%27.64%
30% to 40%00.00%, see rank14.00%13.74%
40% or More00.00%, see rank19.26%20.29%

ACS 2008-2012 data


Median Owner Costs, see rank
03911 Zip Code
596 USD
Maine
1,355 USD
U.S.
1,559 USD

Owner Costs Distribution
Monthly Owner Costs03911 Zip Code%MaineU.S.
$299 or Less00.00%, see rank0.30%0.18%
$300 to $49900.00%, see rank2.48%1.59%
$500 to $6991252.17%, see rank7.08%4.89%
$700 to $99900.00%, see rank17.06%13.71%
$1,000 to $1,49900.00%, see rank31.76%26.97%
$1,500 to $1,99900.00%, see rank21.85%20.33%
$2,000 to $2,9991147.83%, see rank15.04%20.10%
$3,000 or More00.00%, see rank4.44%12.24%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
03911 Zip Code
50.00% of the Total Income
Maine
24.40% of the Total Income
U.S.
24.70% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 03911 Zip Code%MaineU.S.
10% or Less1147.83%, see rank5.02%5.04%
10% to 20%00.00%, see rank30.55%29.70%
20% to 30%00.00%, see rank28.92%28.18%
30% to 40%00.00%, see rank15.05%14.80%
40% or More1252.17%, see rank20.20%21.80%

* 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.


 
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