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25405 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 25405 Zip CodeWest VirginiaU.S.
Total Housing Units4,624, see rank, 100%883,197132,741,033
Occupied Housing Units4,386, 94.85%, see rank84.05%87.55%
Owner Occupied3,336, 72.15%, see rank61.32%56.34%
Renter Occupied1,050, 22.71%, see rank22.73%31.21%
Vacant Housing Units238, 5.15%, see rank15.95%12.45%
For Rent58, 1.25%, see rank1.96%2.34%
For Sale Only45, 0.97%, see rank1.25%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank1.23%0.92%
For Seasonal, Recreational, or Occasional Use75, 1.62%, see rank5.10%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant60, 1.30%, see rank6.38%4.00%

US Census 2010 data

 25405 Zip CodeWest VirginiaU.S.
Total Housing Units4,628, see rank, 100%881,917131,704,730
Occupied Housing Units4,277, 92.42%, see rank86.61%88.62%
Owner Occupied3,502, 75.67%, see rank63.61%57.69%
Renter Occupied775, 16.75%, see rank23.00%30.93%
Vacant Housing Units351, 7.58%, see rank13.39%11.38%
For Rent107, 2.31%, see rank2.21%3.14%
For Sale Only109, 2.36%, see rank1.18%1.44%
Rented or Sold, Not Occupied10, 0.22%, see rank0.68%0.48%
For Seasonal, Recreational, or Occasional Use17, 0.37%, see rank4.34%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant108, 2.33%, see rank4.97%2.77%

ACS 2008-2012 data

 25405 Zip CodeWest VirginiaU.S.
Total Housing Units4,354, see rank, 100%882,240131,642,457
Occupied Housing Units4,099, 94.14%, see rank84.18%87.53%
Owner Occupied3,341, 76.73%, see rank62.04%57.34%
Renter Occupied758, 17.41%, see rank22.14%30.19%
Vacant Housing Units255, 5.86%, see rank15.82%12.47%
For Rent62, 1.42%, see rank1.92%2.50%
For Sale Only42, 0.96%, see rank1.34%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank1.41%0.91%
For Seasonal, Recreational, or Occasional Use89, 2.04%, see rank4.92%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant62, 1.42%, see rank6.20%3.84%

* 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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