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25403 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 25403 Zip CodeWest VirginiaU.S.
Total Housing Units5,239, see rank, 100%883,197132,741,033
Occupied Housing Units4,906, 93.64%, see rank84.05%87.55%
Owner Occupied4,324, 82.53%, see rank61.32%56.34%
Renter Occupied582, 11.11%, see rank22.73%31.21%
Vacant Housing Units333, 6.36%, see rank15.95%12.45%
For Rent101, 1.93%, see rank1.96%2.34%
For Sale Only0, 0.00%, see rank1.25%1.20%
Rented or Sold, Not Occupied13, 0.25%, see rank1.23%0.92%
For Seasonal, Recreational, or Occasional Use189, 3.61%, see rank5.10%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant30, 0.57%, see rank6.38%4.00%

US Census 2010 data

 25403 Zip CodeWest VirginiaU.S.
Total Housing Units4,980, see rank, 100%881,917131,704,730
Occupied Housing Units4,624, 92.85%, see rank86.61%88.62%
Owner Occupied3,968, 79.68%, see rank63.61%57.69%
Renter Occupied656, 13.17%, see rank23.00%30.93%
Vacant Housing Units356, 7.15%, see rank13.39%11.38%
For Rent93, 1.87%, see rank2.21%3.14%
For Sale Only73, 1.47%, see rank1.18%1.44%
Rented or Sold, Not Occupied20, 0.40%, see rank0.68%0.48%
For Seasonal, Recreational, or Occasional Use57, 1.14%, see rank4.34%3.53%
For Migrant Workers3, 0.06%, see rank0.01%0.02%
Other Vacant110, 2.21%, see rank4.97%2.77%

ACS 2008-2012 data

 25403 Zip CodeWest VirginiaU.S.
Total Housing Units5,025, see rank, 100%882,240131,642,457
Occupied Housing Units4,584, 91.22%, see rank84.18%87.53%
Owner Occupied3,973, 79.06%, see rank62.04%57.34%
Renter Occupied611, 12.16%, see rank22.14%30.19%
Vacant Housing Units441, 8.78%, see rank15.82%12.47%
For Rent147, 2.93%, see rank1.92%2.50%
For Sale Only39, 0.78%, see rank1.34%1.38%
Rented or Sold, Not Occupied47, 0.94%, see rank1.41%0.91%
For Seasonal, Recreational, or Occasional Use164, 3.26%, see rank4.92%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant44, 0.88%, 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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