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USA.com / Vermont / Franklin County / Sheldon Springs, VT / 05485 / Housing / Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

05485 Zip Code Historical Monthly Owner Costs for Housing Units With a Mortgage Status Data

 

ACS 2010-2014 data


Owner Costs Distribution
Monthly Owner Costs05485 Zip Code%VermontU.S.
$299 or Less00.00%, see rank0.10%0.20%
$300 to $49900.00%, see rank0.74%1.59%
$500 to $69900.00%, see rank3.15%5.01%
$700 to $9991368.42%, see rank11.61%14.32%
$1,000 to $1,499631.58%, see rank31.95%27.90%
$1,500 to $1,99900.00%, see rank26.49%20.35%
$2,000 to $2,99900.00%, see rank19.52%19.52%
$3,000 or More00.00%, see rank6.43%11.12%

Owner Cost as a Percentage of the Total Income, Distribution
 05485 Zip Code%VermontU.S.
10% or Less00.00%, see rank3.72%5.86%
10% to 20%631.58%, see rank28.84%31.95%
20% to 30%1368.42%, see rank31.00%27.64%
30% to 40%00.00%, see rank15.60%13.74%
40% or More00.00%, see rank20.58%20.29%

ACS 2008-2012 data


Median Owner Costs, see rank
05485 Zip Code
900 USD
Vermont
1,544 USD
U.S.
1,559 USD

Owner Costs Distribution
Monthly Owner Costs05485 Zip Code%VermontU.S.
$299 or Less00.00%, see rank0.12%0.18%
$300 to $49900.00%, see rank0.91%1.59%
$500 to $699633.33%, see rank2.96%4.89%
$700 to $999316.67%, see rank11.80%13.71%
$1,000 to $1,499950.00%, see rank31.70%26.97%
$1,500 to $1,99900.00%, see rank25.65%20.33%
$2,000 to $2,99900.00%, see rank20.36%20.10%
$3,000 or More00.00%, see rank6.51%12.24%

Owner Cost as a Percentage of the Total Income, Median Percentage, see rank
05485 Zip Code
24.20% of the Total Income
Vermont
25.50% of the Total Income
U.S.
24.70% of the Total Income

Owner Cost as a Percentage of the Total Income, Distribution
 05485 Zip Code%VermontU.S.
10% or Less00.00%, see rank3.43%5.04%
10% to 20%422.22%, see rank27.25%29.70%
20% to 30%633.33%, see rank31.49%28.18%
30% to 40%00.00%, see rank16.39%14.80%
40% or More844.44%, see rank21.10%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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