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USA.com / Maine / Knox County / Port Clyde, ME / 04855 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data

04855 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data

 

ACS 2010-2014 data


Median Owner Costs, see rank
04855 Zip Code
349 USD
Maine
474 USD
U.S.
457 USD

Owner Costs Distribution
Monthly Owner Costs04855 Zip Code%MaineU.S.
$199 or Less00.00%, see rank5.95%7.76%
$200 to $29900.00%, see rank12.01%14.70%
$300 to $4994960.49%, see rank36.98%34.63%
$500 to $6992530.86%, see rank26.02%21.16%
$700 or More78.64%, see rank19.04%21.75%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
04855 Zip Code
19.90% of the Total Income
Maine
14.00% of the Total Income
U.S.
12.30% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 04855 Zip Code%MaineU.S.
10% or Less89.88%, see rank33.70%40.19%
10% to 20%3340.74%, see rank33.39%31.47%
20% to 30%1619.75%, see rank14.82%12.24%
30% to 40%00.00%, see rank7.18%5.64%
40% or More2429.63%, see rank9.99%9.16%

ACS 2008-2012 data


Median Owner Costs, see rank
04855 Zip Code
344 USD
Maine
462 USD
U.S.
449 USD

Owner Costs Distribution
Monthly Owner Costs04855 Zip Code%MaineU.S.
$199 or Less00.00%, see rank6.16%7.99%
$200 to $29900.00%, see rank12.98%15.31%
$300 to $4994256.76%, see rank38.25%35.02%
$500 to $6992533.78%, see rank24.87%20.88%
$700 or More79.46%, see rank17.74%20.80%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
04855 Zip Code
26.30% of the Total Income
Maine
14.10% of the Total Income
U.S.
12.60% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 04855 Zip Code%MaineU.S.
10% or Less00.00%, see rank33.15%39.10%
10% to 20%3344.59%, see rank33.84%31.88%
20% to 30%1621.62%, see rank14.66%12.59%
30% to 40%00.00%, see rank6.97%5.84%
40% or More2533.78%, see rank10.49%9.41%

* 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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