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USA.com / Idaho / Shoshone County / Clarkia, ID / 83812 / Housing / Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data

83812 Zip Code Historical Monthly Owner Costs for Housing Units Without a Mortgage Status Data

 

ACS 2010-2014 data


Median Owner Costs, see rank
83812 Zip Code
231 USD
Idaho
338 USD
U.S.
457 USD

Owner Costs Distribution
Monthly Owner Costs83812 Zip Code%IdahoU.S.
$199 or Less1341.94%, see rank12.75%7.76%
$200 to $299412.90%, see rank26.80%14.70%
$300 to $499825.81%, see rank41.14%34.63%
$500 to $69939.68%, see rank12.86%21.16%
$700 or More39.68%, see rank6.45%21.75%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
83812 Zip Code
10.00% of the Total Income
Idaho
10.00% of the Total Income
U.S.
12.30% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 83812 Zip Code%IdahoU.S.
10% or Less1651.61%, see rank49.68%40.19%
10% to 20%412.90%, see rank29.40%31.47%
20% to 30%619.35%, see rank9.79%12.24%
30% to 40%516.13%, see rank4.06%5.64%
40% or More00.00%, see rank5.93%9.16%

ACS 2008-2012 data


Median Owner Costs, see rank
83812 Zip Code
168 USD
Idaho
334 USD
U.S.
449 USD

Owner Costs Distribution
Monthly Owner Costs83812 Zip Code%IdahoU.S.
$199 or Less1768.00%, see rank13.14%7.99%
$200 to $29900.00%, see rank27.10%15.31%
$300 to $499312.00%, see rank41.24%35.02%
$500 to $699312.00%, see rank12.13%20.88%
$700 or More28.00%, see rank6.39%20.80%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
83812 Zip Code
10.00% of the Total Income
Idaho
10.40% of the Total Income
U.S.
12.60% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 83812 Zip Code%IdahoU.S.
10% or Less1456.00%, see rank48.11%39.10%
10% to 20%520.00%, see rank30.56%31.88%
20% to 30%416.00%, see rank9.69%12.59%
30% to 40%28.00%, see rank4.23%5.84%
40% or More00.00%, see rank6.42%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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