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USA.com / Idaho / Cassia County / Almo, ID / 83312 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

83312 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

 

ACS 2010-2014 data


Owner Costs Distribution
Monthly Owner Costs83312 Zip Code%IdahoU.S.
$299 or Less00.00%, see rank0.43%0.20%
$300 to $49900.00%, see rank2.24%1.59%
$500 to $69900.00%, see rank7.34%5.01%
$700 to $99913100.00%, see rank22.81%14.32%
$1,000 to $1,49900.00%, see rank36.67%27.90%
$1,500 to $1,99900.00%, see rank17.67%20.35%
$2,000 to $2,99900.00%, see rank9.59%19.52%
$3,000 or More00.00%, see rank3.24%11.12%

Owner Cost as a Percentage of the Total Income, Distribution
 83312 Zip Code%IdahoU.S.
10% or Less00.00%, see rank6.06%5.86%
10% to 20%753.85%, see rank32.69%31.95%
20% to 30%00.00%, see rank28.32%27.64%
30% to 40%00.00%, see rank13.81%13.74%
40% or More646.15%, see rank18.62%20.29%

ACS 2008-2012 data


Median Owner Costs, see rank
83312 Zip Code
808 USD
Idaho
1,246 USD
U.S.
1,559 USD

Owner Costs Distribution
Monthly Owner Costs83312 Zip Code%IdahoU.S.
$299 or Less00.00%, see rank0.40%0.18%
$300 to $49900.00%, see rank2.51%1.59%
$500 to $69900.00%, see rank6.88%4.89%
$700 to $99911100.00%, see rank20.47%13.71%
$1,000 to $1,49900.00%, see rank36.56%26.97%
$1,500 to $1,99900.00%, see rank18.38%20.33%
$2,000 to $2,99900.00%, see rank10.95%20.10%
$3,000 or More00.00%, see rank3.85%12.24%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
83312 Zip Code
14.60% of the Total Income
Idaho
24.40% of the Total Income
U.S.
24.70% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 83312 Zip Code%IdahoU.S.
10% or Less00.00%, see rank5.01%5.04%
10% to 20%654.55%, see rank30.44%29.70%
20% to 30%00.00%, see rank28.80%28.18%
30% to 40%00.00%, see rank15.33%14.80%
40% or More545.45%, see rank19.94%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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